LIFE-Nature 2005 Application Forms, Sections A-C · Web viewTitle LIFE-Nature 2005 Application Forms, Sections A-C Subject life Author european commission Keywords life, environment,

LIFE + Environment Policy and Governance

TECHNICAL APPLICATION FORMS

Part A – Administrative information

NOTES: There are 5 sets of LIFE+ "Environment Policy and Governance" application forms: A, B, C and D (technical forms) and F (financial forms). The financial forms are in a separate Excel file.

While filling in the technical forms A – D, please respect the standard A4 format.Whenever several copies of one form 2009-XY needs to be produced, please use the following naming convention per page: 2009-XY/1; 2009-XY/2 etc.

LIFE+ Environment Policy and Governance 2009- A1

LIFE+ 2009 FOR ADMINISTRATION CY/000252LIFE+ 09 ENV/

PROJECT

Project title (max. 120 characters): Particulates Monitoring, Modelling and Management

Project acronym (max. 25 characters): PM3

The project will be implemented in the following:

Country(ies) Cyprus, Austria, Greece.

Administrative region(s) NUTS 4 CY00000

Expected start date: January 2011 Expected end date: December 2013

BENEFICIARIES

Name of the coordinating beneficiary (1): Department of Labour Inspection, Ministry of Labour and Social Insurance

Name of the associated beneficiary (2): Atlantis Consulting Cyprus ltd

Name of the associated beneficiary (3): Cyprus University of Technology

Name of the associated beneficiary (4): Aristoteleio Panepistimio Thessalonikis

Name of the associated beneficiary (5): Environmental Software and Services GmbH

PROJECT BUDGET AND REQUESTED EC FUNDING

Total project budget: 1.294.871,00 €

Total eligible project budget: 1.259.871,00 €

EC financial contribution requested: 629.935,00 € ( = 50 % of total eligible budget)

PROJECT POLICY AREA

You can only tick one of the following options:

□ Climate Change □ Urban environment □ Waste and natural resources

□ Water □ Noise □ Forests

X Air □ Chemicals □ Innovation

□ Soil □ Environment and Health □ Strategic approaches

LIFE+ Environment Policy and Governance 2009 – A2Coordinating Beneficiary Profile Information

Short Name DLI Beneficiary n° 1Legal information on the Coordinating BeneficiaryLegal Name Department of Labour

Inspection, Ministry of Labour and Social Insurance

Legal Status

VAT No 90002943W Public body

Private commercial

Private non- commercial

Legal Registration No ---

Registration Date ---

Legal address of the Coordinating BeneficiaryStreet Name and No 12 Apelli PO Box Post Code 1080 Town/City Nicosia

Country Code Country Name CyprusCoordinating Beneficiary contact person informationTitle Mr Function Director

Surname Leandros First Name NicolaidesE-mail address [email protected]

Department / Service Department of Labor InspectionStreet Name and No 12 Apelli PO BoxPost Code 1080 Town/CityCountry CyprusTelephone No ++357 22405623 Fax No ++357 22663788Coordinating Beneficiary detailsYear ---

Annual turnover --- Annual Balance Sheet Total ---Number of employees 56Website www.mlsi.gov.cy/dliBrief description of the Coordinating Beneficiary's activities and experience in the area of the proposal

The Department of Labour Inspection (DLI) is a Department of the Ministry of Labour and Social Insurance. The Department comprises six sectors:

the safety and health and machinery sector the field operations sector the industrial pollution control sector the air quality sector the radiation protection sector and the chemical substances sector

The Air Quality Sector (AQS) is responsible for the monitoring, assessment and management of the air quality in Cyprus. The Sector is running the National Air Quality Network consisting of nine stations fully equipped with state-of-the-art instruments. The results of the measurements obtained from the nine stations are published online on the website (www.airquality.gov.cy). In addition, information on issues related on the air quality in Cyprus is published through indoor/outdoor electronic information panels. Furthermore, DLI has upgraded its calibration laboratory to the standards of a NRL, which is in the process of being accredited according to the EN17025 standards. This NRL covers also the needs for the measurements of the suspended particles (PM10, PM2.5).The DLI has implemented a contract with the University of Thessaloniki for the purchase of services for the development of emission inventory which contains the development of a database of emissions of air pollutants as well as the purchase, the installation and the operation of a software for the simulation and the forecast of the air quality. The aim of this emission inventory was the collection of data for the emission per pollutant, the sources which emit these air pollutants, the spatial distribution of these sources so that to reduce the uncertainty of the assessments but also for the DLI to be able to take targeted measures for their reduction. Further, the DLI has installed and is running the AirWare air quality management system. The DLI capabilities thus include air quality assessments as well as Nowcasting, forecasting and Scenario Analysis.

LIFE+ Environment Policy and Governance 2009 – A3

COORDINATING BENEFICIARY DECLARATION

The undersigned hereby certifies that:

1. The specific actions listed in this proposal do not and will not receive aid from the Structural Funds or other Community financial instruments. In the event that any such funding will be made available after the submission of the proposal or during the implementation of the project, my organisation will immediately inform the European Commission.

2. My organisation Department of Labour Inspection, Ministry of Labour and Social Insurance has not been served with bankruptcy orders, nor has it received a formal summons from creditors. My organisation is not in any of the situations listed in Articles 93.1 and 94 of Council Regulation 1605/2002 of 25/06/2002 (OJ L248 of 16/09/2002).

3. My organisation (which is legally registered in the European Union) will contribute 334,936 € to the project. My organisation will participate in the implementation of the following actions (add action code(s)): 1, 2, 7, 8, 9, 10, 11, 12. The estimated total cost of my organisation's part in the implementation of the project is 394,077€.

4. Should one or more associated beneficiary or co-financier reduce or withdraw its financial contribution, my organisation will ensure that a corresponding additional contribution is made available.

5. My organisation will conclude with the associated beneficiaries and co-financiers any agreements necessary for the completion of the work, provided these do not infringe on their obligations, as stated in the grant agreement with the European Commission. Such agreements will be based on the model proposed by the European Commission. They will describe clearly the tasks to be performed by each associated beneficiary and define the financial arrangements.

6. I am aware that my organisation is solely legally and financially responsible to the Commission for the implementation of the project (Article 4 of the Common Provisions).

I am legally authorised to sign this statement on behalf of my organisation.

I have read in full the Common Provisions (attached to the Model Grant Agreement provided with the LIFE+ application files).

I certify to the best of my knowledge that the statements made in this proposal are true and the information provided is correct.

At Nicosia, on September 10, 2009

Signature of the Coordinating Beneficiary:

Name(s) and status of signatory:

Leandros Nicolaides, Director


ASSOCIATED BENEFICIARY DECLARATION (complete for each Associated Beneficiary)

The undersigned hereby certifies that:1. My organisation (add name) ATLANTIS Consulting Cyprus ltd has not been served

with bankruptcy orders, nor has it received a formal summons from creditors. My organisation is not in any of the situations listed in Articles 93.1 and 94 of Council Regulation 1605/2002 of 25/06/2002 (OJ L248 of 16/09/2002).

2. My organisation (which is legally registered in the European Union) will contribute (add amount) 50.000 € to the project. My organisation will participate in the implementation of the following actions (add action code(s)): 2, 4, 8, 9, 10, 11, 12. The estimated total cost of my organisation's part in the implementation of the project is (add amount) 200.757 €.

3. My organisation will conclude with the coordinating beneficiary an agreement necessary for the completion of the work, provided this does not infringe on our obligations, as stated in the grant agreement with the European Commission. This agreement will be based on the model proposed by the European Commission. It will describe clearly the tasks to be performed by my organisation and define the financial arrangements.

4. For the purposes of the implementation of the agreement regarding this project between the European Commission and the coordinating beneficiary: a) My organisation grants power of attorney to the coordinating beneficiary, to act in our name and for our account in signing the above-mentioned agreement and its possible subsequent riders with the European Commission. Accordingly, my organisation hereby mandates the coordinating beneficiary to take full legal responsibility for the implementation of such an agreement. b) My organisation hereby confirms that we have taken careful note of and accept all the provisions of the above agreement with the European Commission, in particular all provisions affecting my organisation and the coordinating beneficiary. In particular, my organisation acknowledges that, by virtue of this mandate, the co-ordinator alone is entitled to receive funds from the Commission and distribute to my organisation the amount corresponding to our participation in the action.c) My organisation hereby agrees to do everything in our power to help the coordinating beneficiary fulfil his obligations under the above agreement. In particular, my organisation hereby agrees to provide him whatever documents or information may be required, as soon as possible after receiving his request.d) The provisions of the above agreement, including this mandate, shall take precedence over any other agreement between my organisation and the coordinating beneficiary which may have an effect on the implementation of the above agreement between the coordinating beneficiary and the Commission.

I am legally authorised to sign this statement on behalf of my organisation. I have read in full the Common Provisions (attached to the Model Grant Agreement provided with the LIFE+ application files).I certify to the best of my knowledge that the statements made in this proposal are true and the information provided is correct.

At ................................................. on........................................................

Signature of the Associated Beneficiary:


Charalambos Panayiotou, Managing Director



The undersigned hereby certifies that:5. My organisation (add name) Cyprus University of Technology has not been served

with bankruptcy orders, nor has it received a formal summons from creditors. My organisation is not in any of the situations listed in Articles 93.1 and 94 of Council Regulation 1605/2002 of 25/06/2002 (OJ L248 of 16/09/2002).

6. My organisation (which is legally registered in the European Union) will contribute (add amount) 95,000 € to the project. My organisation will participate in the implementation of the following actions (add action code(s)): 1, 3, 4, 6, 9, 10, 11. The estimated total cost of my organisation's part in the implementation of the project is (add amount) 200,063 €.




At ................................................. on........................................................



Dr Charalambos Chrysostomou, Head of Service for Research, Int. & Public Affairs



The undersigned hereby certifies that:9. My organisation, ARISTOTELEIO PANEPISTIMIO THESSALONIKIS, has not been

served with bankruptcy orders, nor has it received a formal summons from creditors. My organisation is not in any of the situations listed in Articles 93.1 and 94 of Council Regulation 1605/2002 of 25/06/2002 (OJ L248 of 16/09/2002).

10. My organisation (which is legally registered in the European Union) will contribute 80,000 € to the project. My organisation will participate in the implementation of the following actions: 6, 9, 10. The estimated total cost of my organisation's part in the implementation of the project is 149,988 €.




At ................................................. on........................................................


Name(s) and status of signatory: Stavros Panas, Vice Rector – Chairman of Research Committee of AUTH



The undersigned hereby certifies that:13. My organisation (add name) ESS GmbH has not been served with bankruptcy orders,

nor has it received a formal summons from creditors. My organisation is not in any of the situations listed in Articles 93.1 and 94 of Council Regulation 1605/2002 of 25/06/2002 (OJ L248 of 16/09/2002).

14. My organisation (which is legally registered in the European Union) will contribute (add amount) 105.000 € to the project. My organisation will participate in the implementation of the following actions (add action code(s)): 1, 3, 4, 5, 7, 8, 9, 10, 11. The estimated total cost of my organisation's part in the implementation of the project is (add amount) 349,986 €.




At ................................................. on........................................................



DDr Kurt Fedra, Director


ASSOCIATED BENEFICIARY PROFILE (Complete for each Associated Beneficiary)

Associated Beneficiary profile information Short name ATLANTIS Beneficiary

n° 2

Legal information on the Associated BeneficiaryLegal Name ATLANTIS Consulting Cyprus

ltdLegal Status

VAT No 10112301L Public body

Private commercial

Private non-commercial

Legal Registration No HE112301 X

Registration DateMay 2000

Legal address of the Coordinating BeneficiaryStreet Name and No

28 Octovriou avenue # 20-22 PO Box

Post Code 2414 Town/City Nicosia

Country Code CY Country Name Cyprus

Brief description of the Associated Beneficiary's activities and experience in the area of the proposal

ATLANTIS Consulting Cyprus ltd is a private company specializing in environmental management and impact assessment. Among others the company has been involved in several strategic projects for the Cyprus government as well as EU funded projects including a project for the establishment of the an air quality now casting and forecasting system for the Competent Authorities in Cyprus, the government funded project “Establishment of Sustainable Management Policy for the development of the mineral wealth of Cyprus’ where ATLANTIS was responsible for establishing an environmental policy, the Risk Assessment for the Amiantos asbestos Mine, and several EIAS involving air quality impacts from projects. Recently Atlantis participated in an EIA project for the removal of rocket fuels from military sites in Ukraine, where Atlantis personnel was responsible for the air quality risk assessment.

Also the company participated in several LIFE Third Country funded projects: Project CYNOISE for the implementation of the Noise Directive in Cyprus, Project URBANGUARD for the development of a decision support system for urban sustainability indicators, and the LIFE Nature Project ‘COMANACY’ for the protection of 5 Natura 2000 Sites in Cyprus.

Lastly the company has participated in two Eureka funded research projects (AidAir and WebAir) for the development, testing and implementation of integrated air quality management models.

Atlantis employs 9 people in the fields of biology, soil science, environmental science, agronomy, engineering and economics. The average annual turnover of ATLANTIS Consulting Cyprus ltd is around 350000 Euro per year.



Associated Beneficiary profile information Short name AUTH Beneficiary

n° 4

Legal information on the Associated BeneficiaryLegal Name ARISTOTELIO

PANEPISTIMIO THESSALONIKIS

Legal Status

VAT No --- Public body

Private commercial


Legal Registration No ---

Registration Date---

Legal address of the Associated BeneficiaryStreet Name and No

Administration Building, University Campus PO Box 483

Post Code 54124 Town/City Thessaloniki

Country Code EL Country Name Greece

Brief description of the Associated Beneficiary's activities and experience in the area of the proposal

The Laboratory of Heat Transfer and Environmental Engineering (LHTEE) of the ARISTOTELEIO PANEPISTIMIO THESSALONIKIS has a long experience in the assessment of air quality at all scales and source apportionment via modelling techniques, through its involvement in various European funded projects which have addressed relevant issues, such as:

° SATURN (Studying Atmospheric Pollution in Urban Areas) - A subproject of EUROTRAC-2, the main objective of which was to substantially improve our ability of establishing source-receptor relationships at the urban scale. Our main contribution was the co-ordination and multi-scale air pollution modelling.

° TRAPOS (Optimization of Modeling Methods for Traffic Pollution in Streets). The main objective of the project was the improvement and optimisation of the methods that are used for modelling of traffic pollution in streets, while our contribution focused on advanced numerical modelling for several street-canyon configurations, investigation of vehicle induced turbulence, buoyant effects, due to the differential heating of the street canyon walls, chemical reactions with small time scales.

° CITY - DELTA European Modelling Exercise (An Inter-comparison of long-term model responses to urban-scale emission-reduction scenarios). The main objective of this project was to perform model inter-comparisons in order to assess the performance of available models and compare them against available observational data, using their findings to assist air-quality managers in quantifying the contribution of regional versus local sources and in identifying and assessing the most effective emission controls.

° NEEDS (New Energy Externalities Developments for Sustainability), which aimed at the evaluation of the full costs and benefits of energy policies, both at the level of individual countries and for the enlarged EU as a whole. Our institution was involved in the improvement of atmospheric modelling, as well as of methodology and tools for the impact pathway assessment, application and quality assessment.

° Air4EU (Air quality assessment for Europe: from local to continental scale) the main

aim of which was to thoroughly review the benefits and drawbacks of existing modelling and monitoring methods for different spatial and temporal scales. Our contribution lied on the assessment of the air quality assessment at the urban/agglomerate scale. In this context, a case study on the contribution of local resuspension in Athens air pollution load was performed.



Associated Beneficiary profile information Short name ESS Beneficiary

n° 5

Legal information on the Associated BeneficiaryLegal Name Environmental Software &

Services GmbHLegal Status

VAT No ATU38085004 Public body

Private commercial


Legal Registration No 130515 i X

Registration Date1995

Legal address of the Associated BeneficiaryStreet Name and No

Kalkgewerk 1 PO Box 100

Post Code 2352 Town/City Gumpoldskirchen

Country Code AT Country Name Austria

Brief description of the Associated Beneficiary's activities and experience in the area of the proposalEnvironmental Software & Services GmbH (ESS) was founded in 1995 as a direct continuation of the Advanced Computer Applications (ACA) project of the International Institute for Applied Systems Analysis, Laxenburg, Austria. The primary mission of ESS is to bring the best available scientific knowledge to bear on environmental planning management, and policy problems, using state-of-the-art information technology. ESS designs, develops, and deploys customized environmental information systems, and provides training and continuing support worldwide. In addition to its work for numerous institutional and industrial clients world wide, ESS has been participating in a number of research projects in the 4th, 5th and 6thFramework and specific scientific web portals were developed. Recently, ESS has been leading the INCO-MPC project OPTIMA (follow up to INCO-MED SMART) as coordinator, as well as HITERM (Esprit 22723) on High Performance Computing or Technological Risk Management and A-TEAM (IST 1999-10176): Advanced Training System for Emergency Management. The company operates a cluster of dedicated web, data base and application servers (more than 60 CPUs) with a combined storage capacity approaching hundred Terabytes, and the corresponding backup systems of several high-capacity tape robots. Internet access is through a dedicated private 8 Mb Ether connection.


CO-FINANCIER PROFILE AND COMMITMENT FORM (Complete for each co-financier)

Legal Name and full address on the co-financierNOT APPLICABLE

Financial commitment

We will contribute the following amount to the project: ….. Euro

Status of the financial commitment

Signature of the authorised person

Name and status of the authorised person (obligatory):

Date of the signature(obligatory):

Authorised signature (obligatory):

YOU MAY DUPLICATE THIS PAGE


OTHER PROPOSALS SUBMITTED FOR COMMUNITY FUNDING

Please answer each of the following questions :

Have you or any of your associated beneficiaries already benefited from previous LIFE co-financing? (please cite LIFE project reference number, title, year, amount of the co-financing, duration, name(s) of coordinating beneficiary and/or partners involved):

1. «Conservation management in Natura 2000 Sites of Cyprus» LIFE 04 NAT/ CY/ 000013Co-financing: 1.2 million Euro

Coordinating Beneficiary: Environment Service, Ministry of Agriculture Natural; Resources and the Environment.

Partners: Forestry Department, Fisheries Department, Game fund, National Kapodistrian University of Athens, Greek Biotope/ Wetland Centre, OIKOS ΕΠΕ, ATLANTIS Consulting.

Have you or any of the associated beneficiaries submitted any actions related directly or indirectly to this project to other Community financial instruments? To whom? When and with what results, and how are these related to the present proposal?

NO

For those actions which fall within the eligibility criteria for financing through other Community financial instruments, please explain in detail why you consider that those actions nevertheless do not fall within the main scope of the instrument(s) in question and are therefore included in the current project.

The proposed project is characterized by innovativeness but its main objective is enhancing PM monitoring and management capacities by utilizing existing technologies and thus does not entail significant research aspects that would deem it appropriate for funding under FP7.ETAP, targets technologies and thus we consider it unsuitable as the project focuses on developing capacities and policies rather. In line with ETAP, CIP targets mainly to enhance the competitiveness of enterprises through the development of Innovative Technologies. However the proposed project targets mainly to support the Air Quality Management Competent Authorities. Enhancement of the capacities and know-how of the participating private enterprises are indirect and not a major goal of the project. In the case of financing through the CIP, project goals would need to shift rendering the project unsuitable for the needs of the Main Beneficiary. IEE (Intelligent Energy Europe) refers to projects relevant to energy (efficiency, conservation, renewable energies etc) and thus the proposed project would not be eligible under this scheme. Given the purposes of the project but also taking into consideration the structure of the required team that is optimal for this project we feel that LIFE+ is the most suitable program. The targets and goals of the project are directly suited to the program goals under the Environment Policy and Governance section, Principal objective ‘AIR’. Further, the program rules favor the required team structure in which the beneficiary is a public authority which seeks the cooperation of the academic institutions and the private companies that are suited to solve its specific PM monitoring and management needs.



Part B – Objectives and expected results

No financial information should be included in these forms.

All forms in this section may be lengthened, so as to include all essential information.

LIFE+ Environment Policy and Governance 2009- B1

SUMMARY DESCRIPTION OF THE PROJECT (Max. 3 pages; to be completed in English)

Project title: Particulates Monitoring, Modelling and Management (PM3)

Project objectives: The Competent Authorities have and are undertaking significant dust monitoring and management efforts as well as several projects to support air quality management and data collection. Due to the large spatial and temporal variability of measured PM10 concentrations, as well as potentially significant PM inputs from transboundary movements, however, added efforts as well as innovative data collection and modelling tools are required in order to facilitate the preparation of effective and efficient dust management plans. The project’s overall objective is to support the Competent Authorities in preparing cost effective and efficient particulate matter management. For this purpose, state of the art now casting, forecasting and scenario analysis software will be applied. New and innovative data collection and processing methods as well as a robust stakeholder participation process will be introduced in order to support the application of the models. The present data collection activities will be supported through the project by remote sensing techniques. These will be developed, calibrated and applied and will provide data for a potentially much denser grid than possible with ground stations. Further, this method can produce data at various elevations thus greatly enhancing source apportionment and air quality modelling. Source identification will be achieved through oryctological analysis and backtracking techniques. The current monitoring network supported with the additional data prpoduced through remote sensing methods will be able to provide the necessary information in order to derive accurate and verified results on PM10 source apportionment, which constitutes one of the main objectives of the project. Transboundary input of particulates further complicates the issue of source apportionment as well as preparing effective dust management plans. Therefore regional modelling will be implemented through the project in order to quantify this aspect.Based on the produced derived information, various management scenarios will be defined, and the analysis models will subsequently be defined which will incorporate the necessary technical and regulatory information but which will also incorporate socioeconomic factors into the decision making process. The scenario development and analysis activities will utilise the existing modelling capacities of the Department of Labour Inspection, while additional road canyon PM modelling capacities will be introduced and applied. In order to facilitate the incorporation of socioeconomic factors, a robust stakeholder participation process will be implemented aiming to define economic and social goals and constraints.

In summary the project’s general goals are to facilitate effective and efficient dust management improve the monitoring and source apportionment capacities, to provide reliable estimates of transboundary contribution to measured concentrations as well as to prepare a source specific dust management plan.Although one of the main objectives of the project is to prepare a Dust Management Plan, the project goes well beyond this task and the requirements of Directive 2008/50/EC.

Specific objectives include: -- Enhance data collection and processing capacities through the integration of remote

sensing technologies to the existing monitoring network-- Develop, implement and verify a methodology for particulate mater source identification

and apportionment, and the quantification of the relative contributions of long-range and local sources as well as of natural and man-made source. Improving Street Canyon dust production modelling constitutes a sub target of this objective.

-- Improve public and stakeholder (major emitters) information and involvement by both web-based and 3G mobile phone technology;

-- Produce a dust management plan. Associating source fractions with direct and indirect control options is expected to greatly improve the efficiency and effectiveness of measures.

-- Demonstrate the developed approach and set of tools (best practice) that are also appropriate to other Southern European countries with similar semi-arid climate conducive to high levels of wind entrainment of particulates.

A key objective of the proposal is to add elements of sustainable development and explicit environmental criteria to the overall objectives of the Lisbon Strategy; - To contribute to the development and demonstration of innovative policy support

tools, technologies and methods in support of 2008/50/EC and related environmental directives such as IPPC 96/61/EC, and COM/2007/0844;

- To contribute to the consolidation of the knowledge base and institutional capabilities of the competent authorities for the development, assessment, monitoring and evaluation of environmental policy;

- To support the design and implementation of effective and cost efficient approaches to air quality assessment and management, controlling pressures and minimizing impacts, population exposure and public health impacts together with effective public and stakeholder involvement.

Actions and means involved: Establish a baseline of air quality and regulatory compliance from historical air quality

data for reference and a benchmark for the quantitative assessment of improvements. Determine local versus long range imports by combining monitoring data analysis

(directional dependency) supported by long-range transport modelling (EMEP European emission data), remote sensing for large-scale synoptic observations (aerosol optical density) , and mineralogical analysis of dust;

For local/national sources, determine the “natural” component (2008/50/EC, § 20), and non-combustion based contributions (unpaved roads, mining, construction) as well as industrial and traffic generated components (e.g., inner city hot spots, dust re-suspension from paved and unpaved roads);

Identify a range of control measures based on this source apportionment including indirect (land use, vegetation, activity control) management options;

Design cost efficient (not entailing disproportionate costs, 2008/50/EC §16) emission control strategies (regulatory compliance, economic costs, public health criteria); this will be compiled in a dust management plan for Cyprus.

Monitor compliance, and in the long run, improvements, supported by 5 day forecasts including population exposure and estimated health effects, data assimilation and model validation tools (RS data) and public information e.g., information and alert thresholds; document improvement and best practice for other applications;

Develop dissemination and communication strategies for the public and stakeholders, (combining classical methods with Web2.0 and 3G mobile phone technology).

These actions will be based on the integration of a range of innovative components, including remote sensing (satellite imagery of aerosol optical properties), chemical analysis of dust sample for source attribution, a range of simulation and optimization models for scenario analysis and the design of cost efficient control strategies and advanced communication technology for the active involvement of stakeholders (major emitters) as well as the information of the public (including both web based information as well as personalized SMS information services on a subscription basis for sensitive target groups) designed to both minimize exposure and raise awareness for control strategies.The tools to be used for this integrated approach are largely based on results of the EUREKA projects E!1388 and E!3266 (both involving ESS GmbH and ATLANTIS Ltd., associated beneficiaries of the current proposal) that developed model and web-based air quality assessment and management tools ranging from continental (EMEP) to local scales including multi-criteria emission control optimization.

Expected results (outputs and quantified achievements):The primary result of PM3 is an improved capability, strategies and tools for air quality management, compliant with 2008/50/EC for the national competent authority, MLSI/DLI: Detailed source apportionment for air pollutants, emphasis on particulates (PM10/2.5)

for Cyprus, detailed long-range imports, man-made and natural contributions according to 2008/50/EC, §20; this will be based on monitoring data over the last 3 years and emission inventories, and as an operational real-time modelling system for dynamic pollution mass budgets, air quality assessment and forecasts according to 2008/50/EC. In support of the model based analysis, mineralogical and chemical analysis of dust samples will be used to determine their origin.

An air quality management plan (again with emphasis on dust and ozone) based on the above source apportionment, summarized by the quantitative modelling tools, and designed with the help of a non-linear, dynamic, multi-criteria optimization approach; a major component of the air quality plan will be guidelines for the individual cities, communities and community councils (33 communities, 485 community councils) and emission control strategies, including land use planning and land cover management (rehabilitation of vegetation, control of mining activities);

Public and stakeholder information and involvement: this will provide continuous data with complete high-resolution spatial coverage on air quality , adding real-time modelling to the monitoring network (2008/50/EC, §: (6) Where possible modelling techniques should be applied to enable point data to be interpreted in terms of geographical distribution of concentration. This could serve as a basis for calculating the collective exposure of the population living in the area.) Public and stakeholder involvement will provide innovative eGovernment services:- The possibility for personalized information services (subscription based SMS) for

institutions, individuals, and sensitive target groups; - The possibility for individual communities but also major (industrial) emitters

to directly manage updates to their components of a web-based national emission inventory beyond the reporting requirements of 2008/50/EC.

Can the project be considered to be a climate change adaptation project? Yes □No X


ENVIRONMENTAL PROBLEM TARGETED

Air quality is one of the major environmental problems in all countries, and in particular urban agglomerations, of the community. Compliance with the air quality target levels and standards as defined in 2008/50/EC considers natural (and thus difficult to control) sources of pollutants as well as long-range, trans-boundary transport of pollutants. Ozone and particulates (PM10 and increasingly PM2.5 are among the main substances of concern with the most frequent exceedances of the target and threshold values and subsequent public health impacts.

While 2008/50/EC explicitly refers to road-salting, as well as trans-boundary pollutant transport from candidate countries to be considered in the assessment of air quality status and compliance, these concepts are not fully applicable to the countries and regions of Southern Europe and in particular Cyprus with its extreme South-Eastern location and Mediterranean climate.

For Mediterranean and Balkan countries and Cyprus in particular, due consideration must be given to long-range transport from Northern Africa and the Eastern shore zones of the Mediterranean (Lelieveld et al., (2002) and thus geographic extensions to the current EMEP data coverage), but also the consideration of a semi-arid climate zone with dry summers and in part sparse vegetation (as well as a large number of open cast mining activities), and thus open soils, conducive to wind entrainment of dust.

In Cyprus, air quality improvements have been achieved regarding the major air pollutants with the exception of particulate matter. Given the heterogeneity of pollutant sources, the large relative contribution of natural sources as well as the potentially significant contribution from regional transboundary transport, preparing measures and controls presents numerous complexities and difficulties. Source attribution is an especially important issue, as it is necessary in order to prepare targeted dust management measures. Further, accurate estimates of the relative contributions of transboundary and local natural sources need to be made in order to be able to prescribe realistic PM reduction targets.

STATE OF THE ART AND INNOVATIVE ASPECTS OF THE PROJECT

Air quality assessment and management is a well established field of research, with numerous projects, activities, models (e.g.,

http://ec.europe.eu/environment/air/index_en.html, including CAFÉ: Clean Air For Europe, project web site has been archived at

http://es.europe.eu/environment/archives/cafe/general/keydocs.htm). Most of the policy oriented research however, is based on highly aggregated national level data and very simplified, largely linear “models” of assessment or very coarse resolution such as the EMEP emission data at approximately 50 km.

To support environmental policy at a local (or for a small island nation like Cyprus, national) scale, we need to find the appropriate level of detail and resolution which will range from the continental scale for long-range transport and dynamic boundary conditions, to the local and in fact inner-city hot-spots of street canyons,

PM3 therefore is based on the integration of remote sensing and long-range transport modelling and chemical dust analysis for source attribution; multi-criteria optimization modelling for efficient source control; and a web based air quality assessment and management software system for continuous compliance monitoring, public information and stakeholder involvement which includes

-- Multiple scales and resolutions from continental (extended EMEP) to the local/ street scale level using several levels of nested grid representations and different models, based on a range of FP sponsored projects and in particular, EUREKA E!3266 WEBAIR (e.g., Fedra, K. and Witwer, C. 2009; Fedra, K, Kim, T. and Rashidi, Y. (2009) as well as ETC/ACC experience (Kalognomou et al, 2009 ; Papathanasiou et al, 2008);

-- Multiple models and methods, combining traditional air quality monitoring (point measurements) with remote sensing (satellite imagery e.g., from MODIS, Moderate Resolution Imaging Spectroradiometer), chemical and mineralogical analysis of dust, a range of nested/coupled simulation models, and a non-linear, multi-criteria source control optimization model for the design of cost-efficient control strategies,

-- Integrated in a web-based information and communication system framework that includes the use of 3G mobile phones (GSM, GPRS, UTMS) for public and stakeholder information and involvement based on personalized and location specific SMS/MMS.

The proposed methodology is using advanced ICT with web-based easy access to high performance cluster computing; this in turn is based on a public-private partnership model of SaaS, Software as a Service, where private service providers operate complex analytical systems on behalf of public authorities. eConsulting and eGovernment solutions are seen as relevant contribution to the Lisbon Strategy, ultimately not only furthering economic competitiveness in an emerging participatory information society (Web 2.0/3.0), but also integrating environmental considerations towards sustainable development, following the Göteborg Strategy. Efficient environmental management is understood as an opportunity for the development and application of new environmental technology, and the cost/benefit approach of the optimization strategy aims at demonstrating the economic potential and benefits of a clean environment as a win-win solution.

http://es.europe.eu/environment/archives/cafe/general/keydocs.htm

http://ec.europe.eu/environment/air/index_en.html

References:Arimoto, R., 2001. Eolian dust and climate: relationships to sources, tropospheric chemistry, transport and deposition, Earth-Science Reviews, 54, 29–42.Engel-Cox, J.A., Holloman, C.H., Coutant, B.W., and Hoff, R.M. (2009) Qualitative and quantitative evaluation of MODIS satellite sensor data for regional and urban scale air quality; Atmospheric Environment, 38/16, May 2004, 2495-2509. Fedra, K. and Witwer, C (2009) Operational web-based air quality forecasts: cascading models for assessment, management and public information. Presented at the AOGS 2009, Singapore, August 11-15, 2009.Fedra, K., Rashidi, Y. and Kim, T. (2009) Real-time air quality assessment and management: cascading models in a web based implementation. ITM 2009, 30th NATO/SPS, International Technical Meeting on Air Pollution Modelling and its Applications, San Francisco, 18-22 May, 2009Hadjimitsis, D.G.,(2009) Aerosol Optical Thickness (AOT) retrieval over land using satellite image-based algorithm, Air Quality, Atmosphere & Health-An International Journal 10.1007/s11869-009-0036-0Hadjimitsis D.G, Themistokleous, K., Agapiou, A., Hadjimitsis, M., Papadavid, G. (2009) Atmospheric correction algorithms intended for air pollution monitoring in Cyprus using satellite remotely sensed data Remote Sensing and Photogrammetric Society-UK, Annual Conference, Leicester, UK .Hadjimitsis D.G ., Themistikleous K., Vryonies, P., Toulios, L. and Clayton, C.R.I, (2007) "Applications of Satellite Remote Sensing & GIS to Urban Air-Quality Monitoring: potential solutions and suggestions for the Cyprus area'', In: Ranjeet S. Sokhi and Marina Neophytou (eds): Proceedings of the 6th International Conference on Urban Air Quality, Limassol, Cyprus, 27-29 March 2007, CD-disk: ISBN 978-1-905313-46-4, University of Hertfordshire and University of Cyprus (pp. 144) Hout D., de Leeuw F., Kukkonen J. and Fiala J. (2009), The study of traffic hotspot air quality and street scale modelling in the Street Emission Ceilings (SEC) Project, International Journal Environment and Waste Management 4, 156-178.Kalognomou E.A., Mellios G., Moussiopoulos N., Larssen St., Samaras Z., van den Lelieveld, J.at al., (2002) Global air pollution crossroads over the Mediterranean. Science, 298,794-798.Papathanassiou A., Douros I. and Moussiopoulos N. (2008), A simplified three-dimensional approach to street canyon modelling using SEP-SCAM, Environmental Modelling and Software 23, issue 3, 304-313.


DEMONSTRATION CHARACTER

PM3 aims to demonstrate the feasibility of using advanced analytical tools for air quality assessment and management in support of environmental policy, implementing 2008/50.EC.

The project will bridge the gap between research (based largely on the results of the EUREKA EUROENVIRON project E!3266 WEBAIR and a FP6 “City of Tomorrow” project SUTRA, EVK4-CT 1999-00013) and widespread implementation in support of European environmental policy by a demonstration case for Cyprus.

The proposed project addresses - A specific regional and national problem of compliance with target values and

standard for PM10 and 2.5 by identifying and quantifying both long-range transport and natural contributions,

- Innovative science based solution with an immediate and direct public application, based on the explicit requirements of the main beneficiary and a public-private partnership that guarantees not only uptake but also wide dissemination through other public actors (competent authorities) based on a successful demonstrator;

- A high visibility by the ICT technologies used (web-based information system, G3 phone based public and stakeholder information and communication;

Taking advantage of these research result and operational prototypes, their integration into an innovate environmental management information system for air quality management can demonstrate the effectiveness of the approach by quantitative comparison of the baseline air quality and level of compliance from the reference year, with a range of emission control strategies, measures and policies.

A major component of the project’s demonstration character is the web based public environmental information system, which is accessible as a demonstrator world wide, and will be cross-linked with the numerous communities on-line in Cyprus.

The PM3 results however should be specifically relevant for countries, regions and communities of the Mediterranean region with similar climate, land use and vegetation, and thus comparable problems for which the solutions found will be equally applicable. A dedicated dissemination activity will build the network of contacts for a targeted networking beyond publicly accessible web publication of the demonstrator.

EU ADDED VALUE OF THE PROJECT AND ITS ACTIONS

The proposed project uses the specific problem situation of Cyprus as the focus of its demonstration activities. However, the project aims at a much wider uptake of its results in Southern Europe, for similar climatic, land cover, and edaphic conditions. Evaluating local versus long-range air pollutants, it necessarily must focus on trans-national cooperation, which will be addressed in the Dissemination ACTION A09, including an international stakeholder workshop towards the end of the project. The proposed extension of the European level EMEP emission data set developed and maintained under the convention on long-range transport of air pollutants will benefit all other European activities that utilize this data set, and close coordination with EMEP (www.emep.int and www.ceip.at) is planned.

At the same time, the project will exploit the results and tools from international (EUREKA E!3266 WEBAIR and FP 6) RTD projects, which is open for new partners to join and thus benefit from this project and its actions as well.

EFFORTS FOR REDUCING THE PROJECT'S "CARBON FOOTPRINT"

The project aims at emission control and thus, inherently, the reduction of energy use and CO2/GHG emission reductions, i.e., reducing the carbon footprint of cities, regions and countries.

Within the project itself, the basic mechanism to reduce carbon footprint will be based on a carbon reduction management plan and checklists developed as part of the project management ACTION (A12), and communicated to all project participants for implementation.Possible strategies include the use of electronic media and communication as the primary communication medium:- Reduce the need for travel in project coordination through electronic communication;- Minimize the use of paper by a fully electronic, paperless management,

communication, and documentation strategy; - Use energy saving strategies in the office environment (setting of thermostats for

heating and cooling, energy efficient light sources and appliances, conscientious use of energy: “lights off”, etc. While moderate in absolute terms, the main objective here is one of example and awareness raising.


STAKEHOLDERS INVOLVED AND MAIN TARGET AUDIENCE OF THE PROJECT (OTHER THAN PROJECT PARTICIPANTS)

Management of air pollution implies management of emission sources. This, eventually, requires behavioural changes by any and all stakeholders and actors, from competent authorities, and industry, mining and construction, agriculture, transportation sector, but also household and ultimately the consumption patterns of any individual citizen.

Stakeholders and target audience therefore include:

Relevant Public Authorities (Department of Labor Inspection, Department of Public Works, Department of Town Planning and Housing)

Municipalities and Local Authorities Major industrial emitters, such as energy generators, cement plants, brick

production industry, quarries and other major emitters NGOs and interest groups such as chamber of commerce, tourist boards the union

of Environmental Organisations etc. Academic institutions Private households, citizens at large.

While the latter will be involved through the various information products (e.g., media contacts and press releases), the project web site as well as the optional 3G phone based information service subscription, key stakeholders will be explicitly involved through their participation in a national stakeholder workshop towards the end of the project, a task of the Dissemination and Communication ACTION. Further, over the entire duration of the project, stakeholders will be kept informed of project progress, invited for peer review of project deliverables (summary versions for public distribution), and invited to technical coordination meetings as required.Having re-examined the stakeholder involvement strategy, as a result of the evaluation question, we propose that a steering committee for the project is created which will include members of the Technical Advisory Committee. The Technical Advisory Committee, will regularly be informed of the results of the project and will be asked to submit comments and suggestions regarding all major issues of the project. Stakeholders will be informed and consulted through the foreseen dissemination plan as well as through additional efforts within the scope of Action 8. Such added efforts will include the submission of written material to stakeholders for review and detailed discussions of the measures with stakeholders. A stakeholder questionnaire will also be prepared designed to produce a structured database of needs and constraints which will be derived from the stakeholders and which will be utilised during the implementation of the optimization DSS in Action 8.3.

One of the tools for the coordination of stakeholder contact will be a web-based stakeholder database for institutions and individuals, which also include a chronological contact log, accessible to all project participants as well as the individual stakeholder with the option to update their profiles, but also access to an on-line discussion forum as part of the project web pages.


EXPECTED CONSTRAINTS AND RISKS RELATED TO THE PROJECT IMPLEMENTATION AND HOW THEY WILL BE DEALT WITH (CONTINGENCY

PLANNING)

The proposed project builds on innovative, yet proven research methods and tools from previous and ongoing international RTD projects, including EUREKA and FP 4,5,6.The project progress will me monitored against the work plan and milestones in a separate ACTION (A11) over the entire duration of the project. This provides the opportunity to initiate and evaluate any correction action with minimal delay.

The main constraints and associated risks relate to data availability and data quality that can not be changed for historical monitoring data retroactively. However, the project is based on a number of parallel, independent data sources including data acquisition from the existing MLSI/DLI monitoring network, satellite imagery, and dust sample and analysis together with the simulated particulate imports from long-range transport based on the latest EMEP emission inventory. These multiple data sources provide a certain level of redundancy and thus minimize the risk of insufficient data for the development of a dust management plan.

The Department of Labour Inspection (DLI) is the competent Authority for the monitoring, assessment and management of air quality in Cyprus. Therefore, it is in a position to obtain in a routine manner all necessary permits/authorizations from other governmental departments and/or public Authorities, such as the Electricity Authority of Cyprus and the Cyprus Telecommunication Authority etc. This will secure the implementation of the project in the expected time.The DLI, is the owner of relevant databases pertaining to air quality while it already enjoys access to relevant added data and information such as meteorological and land use.

The project team has ownership or implementation rights for all the software foreseen to be used throughout the project.

Alternative data sources: the data sources for the model based optimization that feeds into the dust management plan include:

Meteorological data, available both from national weather observations, as well as from global sources (NCEP FNL re-analysis data at 0.1 degree, six hourly, available from January 2000 to present) as the basis for dynamic downscaling.

European scale EMEP emission data (mainly pyrogenic) that are used for the computation of dynamic boundary condition and long-range transport, will be extended by the dust entrainment (wind erosion) model component, using European scale land use data (CORINE, see below).

Land use and land cover for emission modeling: here both paper maps and satellite imagery can be used as parallel data sources; numerous satellite platforms provide the basic data needed to identify barren (unvegetated) surfaces.

Monitoring data for calibration and validation: based on the historical data (available …) from the MLSI/DLI network, plus the parallel remote sensing data (A03);

Laboratory data: A02 provides data in parallel to the simulation exercises, both

in terms of quantity as well as quality (source attribution). Quantities will also be matched with the remote sensing (AOT) data.

Concerning input data to Action 06 (“hot spot” modeling), the main requirements are meteorological and street scale emission data. The former refer to time series of the main meteorological variables near the streets of interest, which can originate either from measurement stations or from model runs which are relatively easy to perform. The calculation of street scale emission data depends on a well established methodology which requires input (traffic loads, fleet composition etc.) that are already available.

The contingency planning is based on two parallel approaches:

Continuous project progress monitoring (ACTION A11) and evaluation of results against the milestones, Deliverables, and measurable progress criteria;

Alternative data sources and tools, based on simulation methods and remote sensing data as well as public regional and global data bases for the dynamic boundary conditions.


CONTINUATION AND VALORISATION OF THE PROJECTRESULTS AFTER THE END OF THE PROJECT

Which actions will have to be carried out or continued after the end of the project?

The project plans a specific ACTION A12 dedicated to the preparation of an “After Life Plan: follow-up and exploitation”; the basic assumption is that the tools and methods developed and tested, and the know-how and capabilities developed for and by the main beneficiary will enable MLSI/DLI as main beneficiary and also the competent authority for the implementation of the air quality framework directive 2008/50/EC to use the developed methods and tools on an operational basis as part of its routine operation on air quality assessment and management. It is noted that the DLI has already installed and applied the relevant software as well as conducted its first complete emission inventory which feeds the models. These are used in combination with a monitoring network to produce up to date information on air quality as well as for now-casting, forecasting and scenario analysis applications. The proposed study will further support these efforts providing improved data collection and interpretation, thus enhancing the model applications. Further, the DLI will undertake to implement the Dust Management Plan which will be prepared in the course of the project. The DLI is the competent authority for air quality management and responsible for the preparation of air quality plans. Thus both the capacities and resources for this purpose, after the project is completed, are secured.

How will this be achieved, what resources will be necessary to carry out these actions?

The resources required for continuing the routine operation of the methods and tools of PM3 will be part of the operational budget of MLSI/DLI for air quality assessment and management under 2008/50/EC. As already mentioned the DLI already is implementing monitoring and modelling activities as well as prepares annual air quality management plans. The project deliverables and foreseen future activities will be incorporated within the current responsibilities.

To what extent will the results and lessons of the project be actively disseminated after the end of the project to those persons and/or organisations that could best make use of them (please identify these persons/organisations)?

ACTION A10 on Dissemination includes the plan for an international workshop for stakeholders and actors, together with the networking activities that will develop that group. Based on the experience, documented in the project reports, with the demonstrator during the project, the validated “best practice” components of the project results are available for implementation in other countries, regions, and communities, i.e., the competent authorities for the implementation of 2008/50/EC and related national legislation at national, regional and local levels state ministries, cities, communities, large industries that are actors and stakeholders in air quality assessment and management, and emission relevant activities in particular.Further, the DLI maintains a specialised air quality web site via which it provides to the public up to date information on air quality issues. The site will incorporate project deliverables as well as results from future activities that will be foreseen by the project.



Part C – detailed technical description of the proposed actions

Important note:

All calculations and detailed cost breakdowns necessary to justify the cost of each action should be included in the financial forms F. In order to avoid repeating the financial information (with the risk of introducing incoherencies), Part C should only contain financial information not contained in the financial forms.

All forms in this section may be duplicated, so as to include all essential information.

Any action that is sub-contracted should be just as clearly described as an action that will be directly carried out by the beneficiaries.

LIFE+ Environment Policy and Governance 2009- C1

DETAILS OF PROPOSED ACTIONS

The proposal is structured into 12 major ACTIONS, which are organized as consecutive, yet largely overlapping activities., grouped into

1. Preparatory actions2. Main implementation phase3. Dissemination and communication4. Project management.

Each ACTION (see the tables below) has one responsible partner (main or associated beneficiary) with one or more of the other partners contributing to individual tasks within the ACTION. The 12 ACTIONS and the associated partners are summarized below.

Inputs (software, data bases, monitoring) The proposal will exploit the models and software tools developed under EUREKA E!3266 WEBAIR: the integrated model system comprises:

- Metorological modeling with MM5 and/or WRF subject to model validation (downscaling from NCEP (National Centers for Environmental Predictions at NOAA) GFS (global forecasts) and FNL (Final operational global (re)analysis) data sets for operational forecasts and historical, re-analysis data respectively); the meteorological data fields drive

- The emission modeling (see A04) which together with the basic meteorological fields drive the air quality modeling system

- CAMx (PSU/NCAR mesoscale model) nested grid dynamic 3D photochemical model that includes aerosol formation, chemistry, and transport/deposition. At the city level, this can provide the dynamic boundary conditions for the street canyon modeling.

- The multi-criteria optimization, which uses a low-resolution of CAMx to generate feasible alternative strategies, which are then tested at full resolution for compliance.

This basic 4 layers (dynamic downscaling to 1 km/1hr data, emission modeling, nested grid fate and transport modeling, and optimization) have been developed in the international EUREKA project E!3266 WEBAIR. These advanced modeling tools will be adapted and used as the basis for defining the dust management plan for Cyprus.

The diagram shows the relationship and information flows between the software and data components; central (thicker boundary) boxes indicate simulation models and tools, other boxes data/information resources, arrows indicate the information flow; bi-directional arrows indicate both data input and model validation. Please note that bounding box around the software tools that originate from the EUREKA project E!3266.

The table below summarizes the relationship between ACTIONS and tasks, the software tools and data sets, and associated Deliverables see also: Technical Application Forms, Part C – detailed technical description of the proposed actions.

ACTIONand task

data bases, simulation models Deliverables Responsible

Other benficiaries

A01/1.1 Monitoring data, input to CAMx for validation DA01.1, DA01.2

DLI --

A01/1.2 Data import identification, input for MM5/WRF, CAMx

DA01.2 DLI ESS

A01/1.3 Wind statistics, episodes for MM5/WFR and CAMx runs, validation data

DA01.3 CUT DLI

A01/1.4 Meteorological baseline data, input for MM5/WRF, uses external NCEP/NOAA FNL and GFS data as input

DA01.3 ESS DLI

A02/2.1 Development of sampling plan and strategy DA02.3 DLI --A02/2.2 Dust sampling, monitoring data for CAMx

validationDA02.3 DLI ATL

A02/2.3 Sample Analysis DA02.3 ATL(sub)

--

A02/2.4 Dust analysis, source attribution: CAMx model validation, input to Dust Management Plan, DA08

DA02.3 DLI --

A03/3.1 Land use/cover, input data for MM5/WRF, Emission Model (wind erosion, re-entrainment), and CAMx (roughness)

DA03.2 CUT ESS

A03/3.2 Source area identification: input to Emission Model

DA03.2 CUT ESS

A03/3.3 Regional AOT, CAMx (vertical integrated) intercalibration

DA03.3 CUT ESS

A03/3.4 Operational AOT assessment, CAMx validation

DA03.3 CUT ESS

A04/4.1 EMEP spatial coverage, input to Emission Model and CAMx

DA04.1 ESS CUT

A04/4.2 RS based emission estimates, Emission Model validation

DA04.1 ESS ATL

A04/4.3 Dust entrainment model, input to CAMx (fate and transport)

DA04.2 ESS --

A04/4.4 Synoptic model validation (integrates tasks 2.2 and 3.4)

DA04.2 ESS CUT

A05/5.1 Aerosol modeling, long range transport (CAMx) , inputs from 1.3 and 4.2, 4.3

DA05.1DA05.2

ESS --

A05/5.2 Nested grid modeling (CAMx, down to 250 m resolution) inputs from 1.3, 4.3, and 2.2, 3.4 for validation, provides input to the multi-criteria optimization, 7.2,7.3,7.4

DA05.1DA05.2

ESS --

A05/5.3 Synoptic model validation (CAMx), using 3.3 and 3.4

DA05.2 ESS --

A05/5.4 MM5/WRF, Emission model and CAMx operations, inputs from external data bases (NCEP), dynamic downscaling 1.4, continuing data assimilation and validation with data from 4.4

DA05.2 ESS --

A06/6.1 Planning and preparation of model runs DA06.1 AUTH --A06/6.2 Street scale emission estimation DA06.1 AUTH CUT,

ESSA06/6.3 Input data collection, model configuration DA06.1 AUTH CUTA06/6.4 Street canyon model runs (SEP-SCAM),

inputs (dynamic boundary conditions) from 1.4 and 5.3, 5.5, validation data from 2.2, 2.4, directly contributes to the final target Deliverable Dust Management Plan, A08/8.4

DA06.1DA06.2

AUTH

A07/7.1 Preference structure definition DA07.1 ESS --A07/7.2 Emission control policy and technology data

baseDA07.1 DLI --

A07/7.3 Multi-criteria optimization (based on CAMx) 5.3, input to 7.4

DA07.2 ESS --

A07/7.4 Multi criteria evaluation, input from 7.3, feeds into A08/8.4

DA07.2 ESS --

A08/8.1 Specify total PM reduction targets DA08.1 DLI ATLA08/8.2 Specify maximum source specific emission

reduction targetsDA08.1 ESS ATL

A08/8.3 Dust Management Plan, based on input from 7.4 (optimization model) and 6.4 (street canyon, SEP-SCAM)

DA08.1 ATL DLIESS

A08/8.4 Preparation of the Dust Management Plan DA08.1 ATL DLIA/09/9.1 Dissemination, information products,

workshopsDA09.1 ATL ESS,

DLI, CUT, AUTH

A09/9.2 Stakeholder contacts, data base DA09.2 DLI ATLA09/9.3 Media contacts DA09.2 DLI --A09/9.4 Information products DA09.2 ATL DLIA09/9.5 Project web server, CRM tools DA09.3 ESS DLIA09/9.6 End of project workshop DA09.4 CUT DLI,

ATLA10 Project management, coordination DA10.1 DLI ATLA10 Kick off meeting DA10.1 DLI ESS,

ATL, CUT, AUTH

A10 Project Meetings DA10.1 DLI ESS, ATL, CUT, AUTH

A10 Preparation of project minutes DA10.1 DLI ESS, ATL, CUT, AUTH

A10 Compilation of Project Reports DA10.1 DLI ESS, ATL, CUT, AUTH

A10 Preparation of Technical and Financial reports

DA10.1 DLI, ESS, ATL, CUT, AUTH

A10 Organisation of dissemination events DA10.1 DLI ATLA10 Liaison with stakeholders DA10.1 DLI ATLA11 Progress monitoring, evaluation DA11.1 DLI ATLA11/11.1 Deliverable assessment DA11.1 ESS ATL

DLIA11/11.2 Three monthly Monitoring report DA11.1 ATL DLI,

ATL, CUT,

A11/11.3 3 monthly reviews DA11.1 DLI ATLA11/11.4 Preparation of corrective measures DA11.1 DLI ATLA11/11.5 Implementation of corrective measures DA11.1 ATL DLIA12 After Life Plan: follow up and exploitation DA12.1 DLI ATL

ACTION 01: Historical data compilation, analysis

Starting PM 01Ending: PM 15Leader: DLIContributing: ESS

TaskNr.

Task name and description Starting Month

Ending Month

Lead by

1.1 Monitoring data compilation, verification, compliance 1 9 DLI

1.2 Screening level import identification, station based 3 6 DLI1.3 Statistics of wind speed/direction vs PM levels 3 6 ESS1.4 Meteorological baseline data 3 9 ESS

Description (what, how, where and when): Monitoring data analysis to develop a baseline of compliance (against the air

quality framework directive 2008/50/EC) Screening level identification of imports (station, wind direction) Analysis of wind speed/direction and soil moisture versus PM levels; this uses a

range of non-parametric statistical methods to analyse the driving forces of elevated dust (PM10/2.5) levels, for different monitoring locations as an input to ACTION 05, calibration data for the dust entrainment model from natural sources;

Preparation of a 3 year meteorological data set (dynamic downscaling of NCEP re-analysis data with WRF/MM5, generating 3D data fields at 1 km and hourly resolution using high-performance cluster computing over the entire Cyprus model domain (240 by 240 km) as the basis for optimization modelling over the reference years (2007,2008, 2009);

Τhe proposed methods refer to “at least” 3 years of (initial) meteorological data from dynamic downscaling; these will primarily be used to identify characteristic episodes. For the calibration, we also need the corresponding land use/ landcover and activity (mining) data (initial/alternative source: European scale CORINE data) as well as pyrogenic emissions which limits the period that can reliably be used. Further analysis is based on the “characteristic episodes”.

Methods employed:The task will be based on monitoring data from the Cyprus air quality monitoring network, and standard statistical methods for time series analysis that are an integrated part of the WEBAIR air quality assessment and management information system. Emphasis will be on the use of non-parametric statistics to properly account for the nature of the underlying data distributions.For the development of a complete and consistent high-resolution meteorological data set for at least 3 reference years, the project will use NCEP re-analysis data sets (NCEP/NCAR Reanalysis project, http://www.cdc.noaa.giv/data/reanalysis.shtml) one degree and 6 hourly resolution, data available in netCDF format from 1948 to present at 17 pressure levels and 28 sigma levels), with dynamic downscaling to the Cyprus model domain (1 km, hourly resolution).

Constraints and assumptions:Constraints: data quality and availabilityAssumptions: quality assures air quality monitoring data for compliance analysis, and EMEP reports for at least 3 complete years are available.

Beneficiary responsible for implementation: DLI

Expected results (quantitative information when possible):Data analysis for the 9 monitoring stations of the MLSI/DLI network, hourly values over the three reference years 2007, 2008, 2009.

Indicators of progress: Number of data sets (stations, years) analyzed Statistical significance of the correlation analysis Meteorological data sets (years) generated.

ACTION 02: Dust Sampling and Analysis

Starting PM 02Ending: PM 21Leader: DLIContributing: ATL, subcontractor: University of Crete

TaskNr.


Ending Month

Lead by

2.1 Development of sampling plan and strategy 2 4 DLI2.2 Compilation of samples, pre-processing 4 17 DLI2.3 Sample analysis 5 22 sub2.4 Statistical analysis (source attribution) 15 23 ATL

Description (what, how, where and when): Sampling strategy and plan, to be prepared as an initial guidance for the

subsequent field and laboratory work, first three month of the ACTION; Compilation of samples, local pre-processing, shipping to the subcontractor

University of Crete, over then entire duration of the ACTION, times according to the sampling plan;

Analysis of samples (chemical and mineralogical analysis) for source attribution at the University of Crete, over the entire duration of the ACTION, timed according to the sampling plan.

Statistical analysis of source attribution, based on the final chemical analysis, during the final three months of the ACTION.

Methods employed:

2.1 Sampling plan: Desk study; this will determine the best locations and periods for the collection of dust samples for the chemical analysis in Task 2.3, based on the analysis of historical samples and monitoring data and the co-incidence of sample data and driving conditions. The objective is to select sample with the largest expected parameter variability (entropy) to maximize the information content. The plan will also be designed such that it facilitates synergy with the remote sensing activities. Especially it will aim to support remote sensing calibrations. The exact location can not be decided at present and will be the subject of study at the initial stages of the project. Criteria pertaining to creating a well spaced grid of results, selecting suitable representative locations for background as well as for representing various land uses, and cohesion with the existing measurement locations of the DLI will be examined.

2.2 Dust sampling: based on the sampling plan from 2.1, dust samples will be collected and pre-processed locally, to be shipped to the University of Crete for the detailed analysis. Dust sampling will be implemented over a period of one year. It is foreseen that at least 200 samples will be collected and analysed.

2.3 Dust sample analysis: Since aerosols exist as a complex mixture of soluble and insoluble species, it is important to identify their sources. In this work complete chemical analysis of aerosols in conjunction with various statistical tools such as mass closure, chemical mass balance, absolute principal factor analysis and positive matrix factorization will be applied to identify sources of aerosols. For instance the total amount of mineral dust can be estimated using Fe, Al, Mn concentrations and their relative ratio to upper crust (Wedepohl, 1995). The sea salt contribution can be calculated from Na+ and Cl

concentrations. In addition by applying a technique called “trajectory statistics” (see also ACTION 06) information on possible source regions of aerosols can be obtained.

The DLI has already pre-selected the University of Crete as the most suitable sub-contractor for undertaking specialised analysis and support for the source identification and source apportionment of measured PM. Dr Mihalopoulos, is a well known expert in the field and has already been contacted for this matter. Prof. Mihalopoulos works for more than 15 years on chemical characterization of PM in the area.

Analysis responsibilities are allocated as follows:

DLI University of CretePM2.5PM10

chemical characterization of PMi) main anions and cations, ii) organic and elemental carbon iii) major and trace metals. The

above components account for the totality of PM and will allow a PM source apportionment study.

Upon collection and weighing, filters will be chemically analysed for various compounds such as water-soluble ions, trace elements, elemental and organic carbon. For water-soluble ions one quarter of each filter will be extracted using 20 ml of nanopure water. The solutions obtained will be analyzed by ion chromatography (IC) for anions (Cl-, Br-, NO3

-, SO4

2-, C2O42-, MS-) and cations (Na+, NH4

+, K+, Mg2+ and Ca2+). More details on the IC method are given by Bardouki et al. (2003a).

Elements (Al, Ti, V, Cr, Mn, Fe, Ni, Cu, Zn, Cd, Pb) will be determined using inductively coupled plasma-mass spectrometry (ICP-MS) after acid digestion. Quartz filters will be analyzed for organic and elemental carbon (OC and EC), with the thermal-optical transmission method, using a carbon analyser developed by Sunset Laboratory Inc., Oregon. A 1.5 cm2 sample piece will be punched from each filter. The thermal method is a modified one from the method developed by the National Institute for Occupational Safety and Health (NIOSH). The method has two distinct phases to differentiate between OC and EC. In short, during the first phase (OC phase) the sample is kept in helium atmosphere and heated in four steps; 310, 480, 610 and 850 °C, while the second phase (oxygen or EC phase) has five consecutive temperature steps (600, 675, 750, 825 and 890 °C).

2.4: Statistical Analysis: The final step of the analysis correlated the chemical composition of the samples with the prevailing meteorological situation (wind speed and direction) during the sampling period to develop statistically significant and quantitative source attribution between local and long-distance, anthropogenic and natural sources. Methods include non-parametric statistics, co-incidence and cluster analysis.

Constraints and assumptions:Constraints: number of sampling points, temporal coverage

Assumptions: a sufficient number of samples from appropriate locations and periods can be collected to result in a (statistically significant) source attribution, primarily separating local versus long-range, and anthropogenic versus natural sources.

Beneficiary responsible for implementation:DLI

Expected results (quantitative information when possible):Analysis for source attribution for a minimum of 200 dust samples.

Indicators of progress: Number of samples processed.Statistical significance of attributions (co-incidence and correlation with wind speed and direction, source area identification, cluster analysis)

ACTION 03: Remote sensing data processing

Starting PM 02Ending: PM 15Leader: CUTContributing: --

TaskNr.


Ending Month

Lead by

3.1 Land use/land cover analysis 2 9 CUT3.2 Source area detection: open cast mines 3 12 CUT3.3 Regional aerosol optical density 5 12 CUT3.4 Operational aerosol density assessment system 9 15 CUT

Description (what, how, where and when): Land use/land cover analysis Identification of major source areas (open cast mining) Regional aerosol detection (MODIS based) aerosol optical properties Implementation of an operational analysis system (ACTION 05) linked to the air

quality modelling for (a) data assimilation and (b) model validation.

Satellite remote sensing is a valuable tool for assessing and mapping air pollution providing complete and synoptic views of large areas in one image on a systematic basis due to the good temporal resolution of various satellite sensors. The key parameter for assessing atmospheric or air pollution in photochemical air pollution studies is the aerosol optical thickness, which is also the most important unknown of every atmospheric correction algorithm for solving the radiative transfer (RT) equation and removing atmospheric effects from satellite remotely sensed images. The aerosol optical thickness derived from the atmospheric path radiance has been used as a tool of assessing atmospheric pollution.

The methods for determining the aerosol optical properties (aerosol optical thickness) include ground measurements using Sun-photometers and/or "the ocean method" applied over clear water using visible data or infrared data; the "brightness method" applied above land using data in the visible spectrum; the "contrast-reduction method"' applicable over land or a mixture of land and water; the "dark vegetation method" using long-wavelength visible data; the "temperature attenuation" procedure; and the "differential textural analysis" method.

Methods employed:The extraction of aerosol optical thickness (AOT) provides a means for the assessment of air pollution. The main sources of formation of aerosols (particulates) come from emissions of gasses mainly due to man-made and natural sources. The problem of relating AOT with suspended particulate matter near the ground and is still an open question (Gupta et al, 2006). IAOT-PM2.5 or PM10 relationships can be used to convert the satellite measurements to air quality indices. While satellites can provide reliable, repeated and synoptic measurements from space, comparison with monitoring surface level air pollution continues to be a challenge since satellite measurements are column-integrated quantities.

The overall methodology consists of the following significant steps: Apply an efficient atmospheric correction algorithms

Examine possible correlation between the image retrieved aerosol optical thickness and prevailing air pollution measurements (such as PM10, PM 2.5, CO2 etc)

The steps will be integrated with the air quality model system to compare the AOT with the full spatial coverage of simulation results.

During the satellite overpass, the following ground measurements will beCollected for the calibration of the satellite imagery interpretation (AOT): Spectral measurements of the targets using field spectro-radiometers. Obtain

the reflectance values of each calibration target Sun-photometer measurements to determine the aerosol optical thickness

using the MICROTOPS II sun-photometer. Meteorological data such as visibility, relative humidity, atmospheric pressure

are collected (using measurements from the nearby meteorological stations or from the mobile meteorological stations).

Air pollution data are collected using mobile air pollution stations

Constraints and assumptions:Constraints: number of satellite passes to be analysedAssumptions: significant correlation between AOT and monitored air pollutants, and in particular PM 10/2.5, can be established to interpret the spatial patterns and validate the air quality simulation models.

Beneficiary responsible for implementation:CUT

Expected results (quantitative information when possible):Spatial data sets (topical maps) of AOT data from the satellite passes at 250 m spatial resolution.

Indicators of progress: Number of satellite passes analysed;Significance of AOT to monitoring co-variance

ACTION 04: Emission modelling, control: natural sources, long-distance

Starting PM 04Ending: PM 12Leader: ESSContributing: CUT

TaskNr.


Ending Month

Lead by

4.1 Extending EMEP spatial coverage 4 9 ESS4.2 Estimating emissions from RS data 5 12 CUT4.3 Wind-driven dust entrainment model 6 12 ESS4.4 Model validation: dust samples, RS data 10 15 ESS

Description (what, how, where and when):As a preparatory step (first three months in the ACTION), the European scale EMEP emission data set (last published version for 2007) will be extended towards the East and South to provide a more complete framework for the estimation of boundary conditions for Cyprus;For the local emissions, a dust entrainment model will be adapted from EUREKA E! 3266 WEBAIR to generate dynamic source terms for the Cyprus model domain, activities starting with a 3 months delay to the end of the A06.The results of the dust entrainment and re-suspension model will be compared with both the monitoring data (ACTION 01) and the remote sensing data from ACTION A03, parallel to task 6.4. This will also explore the potential of using the satellite data for data assimilation to improve the emission model performance.Model validation for the local entrainment model will use selected episodes where monitoring data and/or satellite data are available for comparison of model results and observations.

CAMx will be run for the 3rd city level domains at 250 m resolution (subject to sensitivity and validation tests) which however, approaches the limits of roughness based parameterization of diffusion. Please note that the next higher level of resolution is provided by the local (inner city) street canyon model.The correspondence with the satellite imagery (MODIS) at 250 m is only given for the 660 nm band, while 470 nm and 550 nm are available with a 500 m resolution (higher bands 8-36 at 1,000 m). These data are yielding a statistically robust “product” at a 10 km resolution, which for the primary model domain amounts to more than 400 observation points for model comparison.

Methods employed: Extending the current EMEP data set (www.emep.int, www.ceip.at) by at least 150

km towards East and South, based on global emission data sets (1 degree resolution) and surface activity data derived from satellite imagery (MODIS, IR band of available platforms such as LANDSAT/ TM bands 6 and 7, SPOT XS3);

Local dust entrainment is based on a non-linear (sigmoid) threshold model of wind speed (high resolution 2 minute frequency distribution generated by WRF or MM5) considering land cover, (soil/vegetation), humidity/soil moisture, erodibility/activity data, or deposition particulates and surface specific loss rates for re-suspension.

Constraints and assumptions:Constraints: data availability outside the EU

Assumptions: estimation can be based on satellite imagery (e.g., nigh-time IR) and public domain global emission data sets;

Beneficiary responsible for implementation:ESS

Expected results (quantitative information when possible): High-resolution dynamic emission data sets for particulates, hourly 240 by 240 km

matrix), validated by remote sensing data Automatically generated data for the continuous nowcasting and forecasting of air

quality (compliance monitoring)

Indicators of progress: Availability of validated test data sets Availability of daily/hourly data sets for compliance monitoring

ACTION 05: Regional and national scale modelling tools, setup, validation

Starting PM 04Ending: PM 12Leader: ESSContributing: CUT

TaskNr.


Ending Month

Lead by

5.2 Aerosol modeling, long range transport 04 09 ESS5.3 National to urban nested grid modeling, baseline 06 12 ESS5.4 Model validation with RS data 12 16 CUT5.5 Operational model system 12 16 ESS

Description (what, how, where and when): On the basis of the extended emission data set from A 04, estimates of long

range transport of PM and imports to Cyprus will be based on the wind field generated in A01 and the 3D nested grid Eulerian model CAMx to generate dynamic boundary conditions for the Cyprus model domain (two way coupling).

The models will be set up as a two-way coupled nested grid model system (with the continental scale EMEP grid model as an outer domain for dynamic boundary conditions from long-range transport) for the Cyprus model domain 240 by 240 km) with several nested urban city domain (Nicosia, Limassol, Paphos, Larnaka, etc.) to generate one or more baseline runs corresponding to the baseline established by data analysis in A01;

Model validation: scenarios of selected episode (with maximum concentration or strong dynamics) identified from the data analysis, reproduced by the model system, validated with monitoring data and remote sensing data

Operational implementation (continuous real-time runs) of the model system driven by GFS numerical meteorological forecasts (WRF/MM5) and dynamic emission modelling, data assimilation with monitoring and RS data.

Public information: the model/forecast results (e.g., general information and threshold exceedances) are posted and continuously updated on the project web site, web browser and 3G phone access, parallel implementation of a SMS/MMs based subscription service for registered stakeholders.

Methods employed: For the aerosol simulation modelling, the CAMx model R5.05, CB05 will be used at

continental scale with a (re-sampled input data) at 30-50 km resolution, 27 vertical layers, hourly output., nested within that domain at 1 km resolution 240 by 240 km, and within this domain several city domains with 500 and 250 m resolution.

Meteorological forecast 72-120 hours, based on GFS meso-scale forecast (1 degree, 6 hourly), dynamic downscaling (WRF/MM5) to local coverage, 1 km, hourly.

Long-range transport simulations: within the 3 level nesting (and two-way coupling) approach, the European domain will be run together with the other two (island and city level) domain, that is, for the same number of events (selection based on their relative frequency) and the same durations of several days (depending on the dynamic nature of each episode). Standard resolution for the 5,760,000 km2 European domain is 30 km. For selected episodes, this can be reduced to 9 km. Please note that the EMEP emission grid has an approximate resolution of 50 km.

Constraints and assumptions:

Constraints: emission data temporal patterns, computational resources;Assumptions:


Expected results (quantitative information when possible): Extended continental emission data set High-resolution (1 km nation wide or down to 100 meters for local nested model

domains around open cast mines, see A03) dust emissions, dynamic input for the air quality and optimization modelling.

Indicators of progress: Continental emission data sets, extended spatial and sectoral coverage, Long range transport scenarios (temporal coverage, number of events or days

of simulation) Local high resolution dynamic emission data inputs for the Cyprus and nested

high-resolution domains, temporal coverage, number of sub-domains also related to the monitoring station locations and dust sampling plan (compare ACTION A02)

ACTION 06: Local (hot spot) modelling

Starting PM 07Ending: PM 21Leader: AUTHContributing: DLI

TaskNr.


Ending Month

Lead by

6.1 Planning and preparation of model runs 7 9 AUTH6.2 Street scale emission estimation 7 12 AUTH6.3 Input data collection, model configuration 7 12 AUTH6.4 Model runs 12 18 AUTH6.5 Analysis of model results 16 21 AUTH

Description (what, how, where and when):

The main aim of this task will be to quantify local anthropogenic contributions to the hotspot PM concentrations with a focus in the urban areas.

Methods employed:

Particles from sources along, adjacent to or some distance from the roadway enter the atmosphere and once airborne, are removed from the atmosphere through processes such as deposition and gravitational settling, and descend onto the road surface. Urban traffic PM is a complex mixture of particles from a number of natural and anthropogenic sources which have been found to contain carcinogenic components and heavy metals from exhaust and non-exhaust processes. In addition to direct emissions several studies suggest the resuspension of road dust as an important constituent of the urban PM emissions. Recent surveys have estimated that resuspension of road dust contributes 27% to the total particle concentrations within street canyons. Due to this important contribution to the air pollution load in urban street canyons and the related health impacts, resuspension induced particulate concentration has to be quantified in order for local authorities to proceed to the appropriate local abatement measures.

Street scale models consider information of street canyon geometry in order to realistically describe the physical processes that govern the distribution of the pollutants. The proposed street scale models include the OSPM and SEP-SCAM models, the latter of which is being developed in AUTH, and takes into account the effect of traffic induced PM resuspension. This street scale approach will form an integral part of a multiscale modelling system, incorporating larger scale models. The SEP-SCAM model was developed in order to allow authorities to assess air pollution from traffic in urban streets by means of a fast, simple and still reliable model. In SEP-SCAM, concentrations of exhaust gases are calculated along the leeward and windward sides of the street canyon at any specified height above the street level. For the direct contribution of vehicle emitted pollutants the model makes use of a plume model and an empirical algorithm based on a revised street canyon algorithm. The total concentration is made up of the direct and the resuspension contribution. The model accounts for resuspension in the street using a box model approach, in which the concentration in the recirculation zone is calculated assuming that the inflow rate of the pollutants into the zone is equal to the outflow rate and that the pollutants are well mixed inside the zone. The distribution pattern of concentrations along both sides of the canyon when an intersection is present is computed

with the implementation of a simplified empirical formula based on results obtained with the three-dimensional microscale model MIMO.

The application of a street scale model requires a number of input data, the most important of which are anthropogenic emissions (which essentially originate from traffic), meteorological data (based on modelled or measured time series) and boundary conditions (based on modelled or measured roof level concentrations of the species of interest). Emissions for the street scale will be calculated based on the COPERT IV model which takes into account fleet characteristics, emission factors for each vehicle category, traffic conditions and others. Street scale modelling will be part of the integrated modelling system that will be used for assesing the contribution of different sources in PM levels inside street canyons as well as for the analysis of different emission scenarios, with emphasis in very local (ie. specific street) interventions.

Constraints and assumptions:Constraints: Input data quality and availability (emissions, boundary conditions etc.)Assumptions: Realistic input data for meteorology and boundary conditions will be obtained from larger scale models

Beneficiary responsible for implementation:Laboratory of Heat Transfer and Environmental Engineering, Aristotle University of Thessaloniki (AUTH)

Expected results (quantitative information when possible):- Street scale emissions for a number of major streets in Cypriot cities- PM concentration estimates inside street canyons- Quantification of the contribution of different sources in PM levels inside street

canyons

Indicators of progress:

- Collection and preparation of BCs and emission data- Successful completion of specified model runs- Statistical analysis and review of obtained results

ACTION 07: Emission control optimization, compliance improvements

Starting PM 07Ending: PM 21Leader: ESSContributing: DLI, ESS

TaskNr.


Ending Month

Lead by

7.1 Preference structure definition 10 15 ESS7.2 Emission control policy and technology data base 12 17 DLI7.3 Optimization model, alternative generation 15 24 ESS7.4 Multi-criteria evaluation, analysis 22 26 ESS

Description (what, how, where and when): Defining a preference structure for the optimization in terms of Criteria,

objectives, constraints, a reference point (target solution); for this step, the active participation of selected stakeholder will be organized in a workshop for participatory decision making;

Selection of source class specific strategies, measures, or technologies for emission reduction together with: investment and operating costs, emission reduction efficiencies

Implementation and operation of the model system for the generation of alternatives, iterative approach of adaptive heuristics to generate alternative followed by analysis of the decision space structure until a satisfactory alternative (feasible, non-dominated) can be identified.

Methods employed: Two phase optimization procedure based on EUREKA E!3266 WEBAIR, using the

full 3D photochemical code (CAMx) but with low spatial resolution; first naïve Monte Carlo to generate a large set of alternative; analysis of alternatives (inverse solution mapping the pareto-optimal alternatives back into the decisions space; second series of numerical experiments based on the analysis of the decision space structures, using adaptive heuristics, genetic algorithms, and machine learning concepts;

discrete multi-criteria DSS tool to define the “best” strategy (non-dominated solution nearest to UTOPIA or user defined reference point.

Constraints and assumptions:Constraints: techno-economic data and costs and efficiency

of emission control measuresAssumptions: sufficient and realistic data for the optimization

can be based on expert assessment and literature sources;


Expected results (quantitative information when possible):Set of optimal solutions (effective and cost-efficient emission control strategies that

demonstrate measurable improvement (better compliance) compared to the baseline.

Indicators of progress: Number of pareto-optimal solutions found;Improvement relative to the baseline compliance scenario, A01 (data analysis) and A05, model scenarios.

ACTION 08: Dust management plan, implementation strategies

Starting PM Ending: PM Leader: ATLContributing: DLI

TaskNr.


Ending Month

Lead by

8 Dust management plan 25 32 ATL8.1 Specify total PM reduction targets 25 28 DLI8.2 Specify maximum source specific emission

reduction targets 25 28 ESS

8.3 Scenario and optimization analysis for the source- specific allocation of emission reductions 27 31 ESS

8.4 Preparation of the Dust Management Plan 31 32 ATL

Description (what, how, where and when):Based on the relevant Legislation, a National Action Plan was prepared for the improvement of the Air Quality in Cyprus in 2007 which was approved by the Council of Ministers in February 2008 and then it was submitted to the European Committee. In the aforementioned Action Plan, there were abatement measures for the reduction of dust emissions into the atmosphere, not only on the national but also on the local level.The implementation of this Action Plan is monitored closely by the DLI, in collaboration with other Ministries such as Ministry of Commerce, Industry and Tourism, Ministry of Agriculture, Natural Recourses and Environment, Ministry of Transport and Public Works etc, the Local Authority and other bodies, which participate in Technical Advisory Committee, foreseen in the relevant Legislation.

The dust management plan (a component of the overall air quality management plan according to 2008/50/EC) will be based on the results of the main input groups, consolidating them into a policy oriented framework and plan for action.

The exact constituents of the proposed Management Plan can not be foreseen at present as they will largely depend on the results of the technical and socioeconomic studies. However, the main foreseen improvements and additions to the existing plan include the following.

Existing and a series of additional measures will be examined. Measures and actions will be assessed in terms of quantitative benefits and

socioeconomic impacts while at present analysis is qualitative. Measures and strategies will be prioritised based on effectiveness and efficiency,

whereas efficiency will incorporate socioeconomic impacts.

Initially, results with regard to the relative contributions of transboundary transfer and natural sources will be analysed in order to produce estimates of the contributions to PM measurements of local sources. This activity will be useful in determining realistic and verified total PM reduction targets.

Secondly Source specific realistic emission reduction targets will be set. This activity will rely on a rigorous monitoring, oryctological testing and modelling (including back tracking)

procedure in order to allocate the relative contributions of the key PM contributors. Emphasis will be given to the major anthropogenic activities such as road traffic, industrial (focussing on the cement industry, brick industry, quarrying and rod traffic) and agricultural practices.

Maximum expected targets will be estimated in order to prepare a range of possible PM reduction options. These will be based on BMPs and results of consultations with stakeholders, with emphasis on industry representatives and experts from Competent Authorities.

Subsequently, the Airware Optimisation tools will be applied in order to develop a set of measures that most efficiently achieve the total PM reduction targets. For this purpose, technical feasibility, economic factors and acceptance of the measures by competent authorities and the public will be considered.

Once the measures are defined, a complete document constituting the Dust Management Plan will be prepared. The document will include a full description of the defined PM reduction measures, assignment of responsibilities for monitoring and implementation, documentation on technical methods and guides where applicable, and scheduling of implementation. The Dust Management Plan will be submitted to the Air Quality Technical Committee for opinion and suggestions before being finalised. Due to the time constraints of the project the reduction measures provided by the Plan will not be implemented during the project.

Methods employed:

This Action will be implemented in coordination with Actions 4, 5, 6 and 7. Input to Action 7 and methods for implementing it will be based on the foreseen activities of the said Actions.

In particular the following will be utilised: monitoring data statistical analysis; remote sensing based large scale synoptic data sets; dust sample chemical analysis; dust entrainment model and validation exercises; multi-criteria optimization scenarios.

The preparation of the dust management plan will be based primarily on the scenario analysis modelling tools that are already installed in the DLI and which will be enhanced within the present project. In particular, model AIRWARE will be applied for the optimisation, though which technical, cost benefit and social acceptance issues will be simultaneously considered.

Potential emission reduction estimates will be based on a consultation process through which feasible methods and technologies will be identified. Consultations will involve the DLI, Industry representatives, the technical Chamber, the Ministry of Agriculture, Natural Resources and the Environment, the Ministry of commerce, the Public Works Department and the Department of Town Planning and Housing.

Emission estimates will be based on the CORINE and COPERT guidelines, the existing modelling capacities of DLI together with the road canyon modelling capacities to be developed in ACTION 4, and the DLI’s emissions inventory database.

Constraints and assumptions:Constraints:

This task is considered rather complex and its success depends on the completeness and coherence of data. The level of detail and accuracy of the data will in part determine the reliability of the management measures. This project aims in part to minimise this constraint by extending the database via remote sensing techniques as well as incorporating oryctological data into the analysis. A further constraint may be the willingness of stakeholders to accept proposed measures as well as their capacity to secure the required financial and technical resources for their implementation.

Assumptions: It is ensured that the DLI will secure access to all available information as well as will undertake to involve the relevant stakeholders and competent authorities.

Beneficiary responsible for implementation:ATL

Expected results (quantitative information when possible):It is expected that this task will produce a widely accepted and feasible Dust Management Plan. Further this task will help to inform stakeholders and Competent bodies of PM issues as well as promote awareness on air quality issues.

Indicators of progress: Number of Dust Management Measures Approval of the Dust Management Plan

ACTION 09: Dissemination, information products, workshops

Starting PM Ending: PM Leader: ATLContributing: DLI, ESS, CUT, AUTH

TaskNr.


Ending Month

Lead by

09.1 Dissemination plan 2 4 ATL09.2 Stakeholder contacts, data base 3 36 DLI09.3 Media contacts 1 36 DLI09.4 Information products 4 24 ATL09.5 Project web server, CRM tools 4 24 ESS09.6 End of project workshop 35 35 CUT

Description (what, how, where and when):The first task during months 1 to 4 is the development of a detailed Dissemination plan that will serve as a checklist and guidelines for all dissemination activities.To prepare the involvement of actors and stakeholders, a database of stakeholders (institutions and individuals) will be established as part of the project web server to facilitate access by all project partners.

An important element of dissemination is the involvement of the media such as press releases or coverage in specific science or environmental programs, newspaper features, radio interviews etc. Regular contact to representatives of the media will be maintained.

A major task is the design and subsequent distribution of the information products defined in the Dissemination Plan. These include, other than the project web server and on-line material (see below) more traditional methods and formats such as project folder, leaflets for distribution at workshops and conferences, and the template and common material for any publications. Information products will be available by mid-term, but upgraded in the second half of the project.

All dissemination material will also be available in electronic form through the project web server, which will (a) maintain communication between the project partners and (b) provide public access to all project results, data and tools. The basic web server will be operational by the end of the third project months, its content and CRM tools being updated over the entire project period.

Lastly, Project Results will be presented in an end of project workshop. The workshop will target the Competent Bodies, Local Authorities, Industry and Academia.

Methods employed: Basic desk work for tasks 1- 4; implementation and maintenance of an Apache web

server under Open Source Linux (Ubuntu); Workshops will be organised in close collaboration with the University partners Preparation of printed material.

Constraints and assumptions:No constraints are foreseen for this Action.

Beneficiary responsible for implementation:ATL

Expected results (quantitative information when possible):The Dissemination Action will result in the creating awareness for the project and its results to all relevant public authorities and stakeholders in Cyprus. At EU level it will provide information to key organisations as well as the academia and professional in the field of Air Quality. The dissemination Action will:

- Provide information to and involve Government bodies, Local Authorities, the Cyprus based academic institutions. At least 30 organisations and universities in Cyprus will be involved through seminars, printed material and personal communications.

- Disseminate material to members of competent authorities of EU countries, international and EU environmental bodies and the academic community. A total of 100 organisations will be targeted.

- Layman’s Report- Notice boards- Documentation of workshops and conferences

Indicators of progress:

Dissemination will be assessed in terms of meeting attendance targets in dissemination activities as well as targets in the production of printed material such as:

Entries in the stakeholder data base Information products available Number of Institutions and individuals receiving the information Web server content (mB) Web server user statistics (hits, visits, on-line registrations, posts to the forum) Participants in the workshops- Number of stakeholders in the stakeholder database- Presence of all competent authorities to the Steering Committee - Number of media releases and dissemination materials. Estimated numbers

include 5 press releases, 2 scientific articles, 1 radio interview, 3 newspaper features, 2000 copies of printed project material, 2 posters/ panels

- Number of participants to the final project conference (70- 100 participants are foreseen)

- Number of conferences attended (2 are foreseen) - Number of hits to the Web Site- Number of stakeholder questionnaires (at least 20 are foreseen)

ACTION 10: Project Management, Coordination

This Action aims to: Promote communication, collaboration and organisation among the partners involved

in order to complete the project within the required time frame. Monitor and solve any problems that may come up during the project’s completion Organise and carry out a structured, efficient and effective completion of the tasks Ensure the project results conform to the project’s objectives set within the LIFE +

programme. Identify problems at an early stage and enforce corrective measures where necessary Report to and liaison with the European Commission and dissemination of results

The project proposed involves five project partners, three based in Cyprus and two in two other EU countries. Further the project is complex, technically challenging and requires good synchronisation between actions in order to achieve the proposed schedule. Therefore, even though all organisations are experienced in the implementation and management of large and EU funded projects, effective project management is considered key to the project’s success. An efficient project management mechanism will have to be developed, in order to achieve the utmost inter-partner co-operation and the timely fulfilment of their responsibilities. The DLI will be responsible for co-ordinating, monitoring and managing the project, while ATLANTIS will support with the technical coordination and control issues. All partners will be responsible for the proper and timely execution of their tasks and submission of the material and data that will be agreed upon according to the defined timetable and Actions. DLI will have the leading role in the team and will act as the main beneficiary and coordinator of the project. Administrative Management by DLI will be supported by ATLANTIS. The hierarchy of the team is presented in the following chart.

EU / Monitoring Authority

DLI

ATL ESS AUTH TUC

The Project Manager will be responsible for: 1) the financial management of the project and 2) liaison with the Commission and 3) the compilation of reports. The project manager will supervise work flow through monitoring reports (ACTION 11) which will be prepared by the monitoring committee. Action Leaders will be responsible for the preparation and of technical reports while the Monitoring committee will be responsible for preparing the deliverables monitoring assessments and the periodic monitoring reports.

The Management Structure is shown graphically below:

Mr Kleanthous is a chemical engineer and is a Senior Officer at DLI. For several years he has lead the section of air quality management. Among others he is responsible for the planning and implementation of air quality monitoring as well as for the formulation of air quality management plans. He is also responsible for developing the section’s technical and personnel capacities.

Work Experience Since Sept. 1990: Senior Labour Inspection Officer, Head of the Air Quality

Section, Department of Labour Inspection, Ministry of Labour and Social Insurance. Apr. 1987 – August 1990: Head of the Department for Water Treatment Cyprus

Waterworks Co. Ltd, Cyprus Febr. 1986 – March 1987: Head of R & D for Industrial Wastewater Treatment

Deutche Babcock Anlagen AG, Germany Nov. 1981 – Jan. 1986: Scientific Collaborator, University of Karlsruhe, Germany

Memberships Verein Deutcher Ingenieure (VDI), Germany Gesellschaft fűr Verfahrenstechnik and Chemieingenieurwesen (GFVC), Germany Abwassertechnische Vereinigung (ATV), Germany Air and Waste Management Association (AWMA), USA Germany Clean Air Society Australia (CASA), Australia Scientific Technical Chamber of Cyprus (ETEK), Cyprus

Project ManagerSavvas Kleanthous

Assistant Project ManagerChristos Papadopoulos

Action LeaderJohn Douros

Action LeaderKurt Fedra

Action Leader Diofantos H’’Mitsis

Action Leader Charalambos Panayiotou

PROJECT MONITORINGChristos Papadopoulos

Charalambos PanayiotouKurt Fedra

FINANCIAL CONTROLExternal Auditor

FINANCIAL REPORT PREPARATION

Nada Panayiotou

Cyprus Professional Engineers Association (ΣΕΜ), Cyprus Pancyprian Union of Chemists (ΠΕΕΧ), Cyprus.

Mr Christos Papadopoulos is a chemical engineer. He is at present holding a position at the air quality management unit of the DLI. Among others he is responsible for the implementation of the Air Quality Management models installed at the DLI. Also he participates in air quality monitoring, air quality assessment studies as well as the formulation of air quality management plans. Prior to this position he has worked at the Cyprus Environment Service.

DDr Kurt Fedra, Ph.D., Dr.sci., is Director of Environmental Software & Services GmbH (ESS). From 1985 to 1995 he has been the leader of the Advanced Computer Applications (ACA) Project at the International Institute for Applied Systems Analysis (IIASA).DDr. Fedra received his Ph.D. in biology from the University of Vienna and a Doctorate of Science from the University of Geneva. He has spent a post-doctoral year (environmental engineering) at the Massachusetts Institute of Technology (MIT), Boston, USA. He is an expert in environmental systems analysis and information technology, has been leading several large international RTD projects on environmental topics including EUREKA E!3266 WEBAIR. He has authored more than 120 articles, reports, and book chapters on environmental systems analysis and related computer applications. He is teaching Environmental Systems Analysis at several universities.

Dr.-Ing. habil. Nicolas Moussiopoulos is a Professor at the Department of Mechanical Engineering of the Aristotle University of Thessaloniki, Greece, and the Head of the Laboratory of Heat Transfer and Environmental Engineering. He is also an Honorary Professor at the School of Mechanical Engineering of the Universitaet Karlsruhe (since 1996) and a member of the German Academy of Natural Scientists Leopoldina (since 2002). In 1990 he received the well-known Heinrich Hertz Award. His research work is in the areas of energy systems and environmental engineering. He has been involved in several large EU projects and has contributed to several major environmental impact assessment studies. Nicolas Moussiopoulos has about 250 scientific publications, including more than 60 papers in peer reviewed journals and 12 books.

Mr. John Douros studied Physics at the Aristotle University of Thessaloniki and Environmental Technology at Imperial College of the University of London where he completed his MSc course on fugitive dust dispersion modelling. In 2001 he joined the Laboratory of Heat Transfer and Environmental Engineering where he is currently working on mesoscale meteorological modelling and photochemical dispersion modelling. He participates in various EU-funded projects, such as MEGAPOLI and CAIR4HEALTH as well as in the European Topic Center for Air and Climate Change (ETC-ACC).

Dr. George Tsegas received his PhD in Physics at the Aristotle University of Thessaloniki in 2000. Since 2005 he is a research associate at the Laboratory of Heat Transfer and Environmental Engineering, AUTh, working on mesoscale meteorological and dispersion modelling. His research interests include the application of advanced numerical methods in mesoscale meteorological modelling and development of parameterisations of physical processes in the urban canopy. He has participated in various EU-funded projects, such as MEGAPOLI, NEEDS and AIR4EU as well as several activities of the European Topic Center for Air and Climate Change.

Dr. Evangelia Fragkou is a Research Associate within the LHTEE. She studied Biology at the University of Essex and has received her MSc in Environmental Sciences and PhD on the sensitivity of mesoscale meteorological modelling to physics and surface parameters

from the University of Hertfordshire, UK. Her research interests include the analysis of meteorological patterns favouring the formation of urban air pollution episodes using mesoscale meteorological modelling and model sensitivity and intercomparison. She is involved in various EU-funded projects.

Dr. Diofantos Hadjimitsis is an Associate Professor in the Department of Civil Engineering & Geomatics of the Cyprus University of Technology. He is the Director of the Remote Sensing Laboratory. He has more than 120 publications in journals and conference proceedings in the field of satellite remote sensing. He participated in several research projects related with the use of remote sensing for environmental surveillance. His research group consisted of more than ten researchers. He is a reviewer on the following journals: International Journal of Remote Sensing, Remote Sensing of Environment, Environmental Monitoring and Management, Natural Hazards and Earth Sciences, Photogrammetric Engineering and Remote Sensing etc. He undertook his PhD and MPhil (1996-1999) in the field of Satellite Remote Sensing intended for environmental applications (water quality surveillance and air pollution monitoring) from the University of Surrey, Department of Civil Engineering (UK). His PhD Thesis was sponsored by Thames Water Ltd and during the PhD studies he received an ORS Scholarship and a Faculty of Engineering Scholarship. He obtained a First Class BEng. (Honours) Degree in Civil Engineering (1994-1996).He obtained a First class Higher National Diploma in Civil Engineering (Dipl.) from the Higher Technical Institute. Diofantos obtained a distinction MSc award in Real Estate and Property Management, from the University of Salford in the UK (2005-2007). Dr Hadjimitsis worked as a teaching assistant at the University of Surrey (UK), as a Post-Doctoral Research Fellow and Visiting Research Scientist in the Department of Civil & Environmental Engineering at the University of Southampton (UK).

Mr Charalambos Panayiotou has a BSc in Environmental Science and MSc in Meteorlogy and is the manager of ATLANTIS Consulting Cyprus ltd. Relevant experience includes the management and implementation of several studies and projects. Among others he participated in the project for the implementation of the AIRWARE air quality management system for now-casting and forecasting at the DLI. Further he has implemented several air quality studies including the risk assessment due to the presence of the Amiantos asbestos mine and the air quality risk assessment for the management of MELANGE rocket fuel from two military bases in Ukraine. Further he managed several research projects projects such as AIDAIR and WEBAIR which concerned the development and implementation of integrated air quality management models and which were funded by Eureka. Lastly he has managed or participated in numerous EIAs for a wide range of developments in which air quality management was a key issue of concern. Mr Panayiotou has previously been a representative of Cyprus to the COST programme on the thematic of Meteorology.

Ms Nada Panayiotou has a degree in economics and is the financial controller of Atlantis Consulting Cyprus. She is also responsible for the financial management of funded projects. Among others she was responsible for project CYNOISE and URBANGUARD funded under LIFE Third Countries, project COMANACY funded under LIFE Nature, project OPTIMA funded under INCO-MPC and three research projects funded under EUREKA.

It is noted that the abovementioned as well as additional permanent personnel of the benefitiary will be specifically seconded to the project.

Further, a steering committee for the project will be created which will include members of the Technical Advisory Committee. The Technical Advisory Committee, will regularly be

informed of the results of the project and will be asked to submit comments and suggestions regarding all major issues of the project. Stakeholders will be informed and consulted through the foreseen dissemination plan as well as through additional efforts within the scope of Action 8.

Brief description of Management ActivitiesIn general, each beneficiary has agreed to undertake specific activities within each Task. The general timeline of these Tasks has been agreed at the proposal stage. However it is foreseen that more specific and detailed times schedules will be clarified and agreed during the kickoff meeting. Requirements to modify the planning during implementation, should they arise, will be identified by the monitoring of progress for the preparation and submission of the foreseen deliverables. A kick off meeting will be held within the first two months of the project. The meeting will aim to clarify project workflow, deliverables and responsibilities. In particular, a detailed schedule of work, milestones and deliverables will be agreed. An Action Leader will be assigned by the Responsible Beneficiary for each Action. Each Action Leader will be responsible for the implementation of the Task and for submitting the foreseen deliverables. Deliverables will be assessed by the project management team. Modifications/ improvements may be requested if appropriate. Also Task Leaders will be assigned for all the Tasks in which ACTIONS are subdivided. The monitoring committee will control of Work flow (co-ordinating and assessing the work of the Task Leaders. The mechanism for gathering and evaluating progress and results is described in Action 11 (Monitoring). Quality assurance will be attained from the Monitoring Action.

Subsequently it is foreseen that six-monthly meetings will be undertaken. All partners will participate in project meetings. DLI will be responsible of monitoring progress though the meetings and the deliverables that will be prepared and submitted in accordance with the schedule foreseen for each Action.

Each Beneficiary will be responsible for submitting financial reports according to the requirements that will be specified by the main Beneficiary. A responsible person is assigned to collect and monitor the reports and request modifications and all required documentation. The responsible person will consolidate all beneficiaries’ reports and will report to the project manager on the completeness of the documentation and the consistency of the reports as per the budget.

Project Monitoring will be undertaken by a team of three members, as foreseen in Task 10. Monitoring will be supported via the Monitoring Activities foreseen in Task 11. In particular, it will utilize the assessment of deliverables and regular reviews with the Task Leaders. Though the frequency of reviews has not been determined at the proposal stage and will be subject of discussion at the kick off meeting, it is foreseen that reviews will be done on a three monthly basis and complemented with ad hoc reviews when approaching milestone or deliverable deadlines.

Task Starting Month Ending Month

Responsible

ACTION 10 1 26 DLIKick off meeting 1 2 DLI

Project Meetings 2* 36* DLIPreparation of project minutes 2 36* DLICompilation of Project Reports 3* 36* DLIPreparation of Technical and Financial reports

1* 36* Action and Task Leaders

Organisation of dissemination events 3* 36* ATLLiaison with stakeholders 3* 36* DLI

* Periodic activities

Methods employed: Project management meetings. Three meetings are foreseen Reporting

Project management reports are compiled from the technical deliverable reports, reports from the Monitoring Committee and Financial reports prepared by the Task Leaders. Three Reports will be prepared as foreseen by the LIFE+ regulations. Reports will be submitted to the LIFE+ Monitoring Team for review.

Financial ReviewThe Project Manager will assign a responsible party for reviewing project financial reports and auditing the cost effectiveness of the project against costs per action initially predicted in the proposal documents. Reviews will precede each project report foreseen to be submitted to the monitoring committee.

Financial AuditCost statements will be audited against the project financial proposal and local accounting standards by a certified accountant at the end of the project.

Preparation of minutes. Minutes will be prepared for all project management Review of Deliverable Assessment results from the Monitoring Team Review of the Monitoring Results Regular Meetings Between Teams of each Action Corrective measures Mechanism

Corrective Action is implemented through corrective action preparation and escalation procedure which follows the following steps:

- Discussion with the relevant Action Leader to clarify and agree on the problem or deviation when such an occurrence is identified

- Proposal of Corrective measures by the Action Leader of Monitoring Team. Agreement of corrective Action between the project manager and the Action Leader, including timetable of implementation, deliverables and reporting

- New measures proposed by the Monitoring Team and agreed by the Project Manager are proposed to the Action Leader when deviations from corrective measures occur.

- Withholding of payments are made when deviations remain. Modification of project planning and reallocation of Tasks is implemented by the Project Manager

Constraints and assumptions:No constraints are foreseen for this Action. The Beneficiary is experienced in the management of large RU funded programmes and has significant management capacity including a number of experienced scientists and engineers at management positions, and accounting department. Additional both partner organisations are experienced in the implementation of EU programmes. It is thus anticipated that project management Tasks will be efficiently implemented.

Should it prove necessary the Contingency plan will be employed.


Expected results (quantitative information when possible):The expected result of this Task is to produce the proper mechanisms for ensuring the timely delivery of foreseen deliverables in accordance with project defined requirements and to the highest possible quality. The intermediary results include:

- Project reports (3)- Project management minutes (3)- Project communication and stakeholder participation documentation

Indicators of progress:- Quality of deliverables - Delays of achievement of milestones and deliverables - Timely delivery of project reports - Reviews to project reports from the LIFE+ monitoring committee - Number of deviations identified and corrective measures- Efficiency of response to corrective measures- Timely organisation of Project meetings - Minutes of project meetings an stakeholder consultations

ACTION 11: Monitoring, Evaluation

Starting PM 1Ending: PM 24Leader: DLIContributing: ATL, ESS

TaskNr.


Ending Month

Lead by

11.1 Deliverable assessment 1 35 ESS11.2 Three monthly Monitoring report 1 36 ATL11.3 3 monthly reviews 1 36 DLI11.4 Preparation of corrective measures -- -- DLI11.5 Implementation of corrective measures -- -- ATL

Description (what, how, where and when):For the Monitoring of the project, a monitoring committee chaired by DLI will be created. The committee will have one member from each of the partners (beneficiaries) organisations.

Monitoring will be implemented through the control of foreseen deliverables and milestones as defined below. Monitoring conclusions and recommendations for corrective actions will be disseminated to the Project Coordinator and the relevant Action Leader. Action Leaders will need to respond on how and when the recommendations will be implemented. Modified deliverables will be resubmitted upon completion. Every three months the monitoring team will review the project progress and prepare a summary review of results. The review will include the control of implementation of corrective recommendations.

Methods employed:

The Demonstration action comprises of two parts, one being the implementation of the developed system and the other being the dissemination of the results. Implementation will be assessed in terms of the project implementation success through the indicators presented under each action Dissemination will be assessed in terms of the following:

Number of participants in the dissemination events Number of recipients of dissemination material, Number of Web site hits/visits Level of acceptance of the Particulate Matter Management Plan

1. Project AdministrationThis function aims to control cost allocations and contract issues. The following will be monitored:

- Conformance of contracts between partners and with subcontractors to technical requirements, financial requirements and scheduling are in conformance with the proposal.

- Assess project management effectiveness

2. Project Implementation

This task will assess progress in project implementation. Monitoring will concern the assessment of the technical appropriateness and timely completion of project deliverables.

Project monitoring will be based on two levels of information:

a. Assessment of submitted deliverables and conformance of achieving milestones to the proposed scheduling

b. Regular reviews with the Action Leaders and periodic reviews with staff involved in key project Tasks.

Monitoring protocol:

The Monitoring Committee will undertake to review the project progress on a continuous basis. In particular, the Monitoring Team will assess the following:

- Conformance of contracts to proposal stated requirements

- Degree of completeness and clarity of financial control documentation

- Completeness, clarity and timely delivery of project management reports

- Completeness, clarity and technical merit of project deliverables

- Conformance of deliverables to internally prescribed standards and requirements. Requirements will be derived from the proposal document. More specifically, the procedures and methods, quantitative parameters pertaining to project works and technical specifications described in the project will be controlled. Assessment will include the views of users regarding the specified software and guides. These will be collected through oral communications which will be documented.

- Conformance to external standards, protocols and specifications. Special attention will be given to external requirements (for example sampling protocols and procedures, EMEP guidelines, information requirements under 2000/69/EC, 2005/183(COD) CLRTAP (http://www.unece.org/env/lrtap/),

- Additionally, monitoring of the Stakeholder consultation process will be facilitated through the control of the quality, clarity of printed material and other communication.

Monitoring Indicators:- Degree of conformance to specifications / number of problems recorded. - Level of delays in the submission of deliverables and the achievement of

milestones- Quality and completeness of financial reporting information and documentation- Presence/ absence of contracts

Sources of Verification:- Contracts- Project management reports- Action Deliverables

http://www.unece.org/env/lrtap/

- Monitoring reports- Technical specification and standards- Project proposal- Internal communication documents- Stakeholder Consultation printed material- Electronic and hard copy financial reports and documentation



Expected results (quantitative information when possible):The Action will help to enhance the project management effectiveness since it will produce timely information on project progress. Through this Action the Project management team will be in a position to detect problems in implementation whether these are in terms of poor quality or otherwise non-conforming deliverables, diversions from the proposed budget or delays. It will therefore facilitate the early response to problems and the effective implementation of corrective actions.

Monitoring results will include:- Deliverable evaluations (At least one evaluation for each final deliverable foreseen

in the project)- Problem reports an recommendations- Six-monthly monitoring reports

Indicators of progress: - Frequency of deliverable assessments- Timely submission of Monitoring conclusions and recommendations - Timely submission of Periodic Monitoring Team reviews- Rate and outcome of responses from Action Leaders- Degree of completeness of financial reports

ACTION 12: AFTER LIFE COMMUNICATION PLAN

Starting PM Ending: PM Leader: DLIContributing: --

TaskNr.


Ending Month

Lead by

12 After Life Communication Plan 35 36 DLI

This ACTION aims to produce a communication plan which will be implemented after the completion of the project.

The Communication Plan Goals will include the following: Dissemination of the Dust Management Plan. Widespread dissemination of monitoring and remote sensing results concerning air

quality. Promotion of the measures foreseen in the dust management plan.

Mr Christos Papadopoulos from DLI will be responsible for the preparation of the Communication Plan. ACTION leaders will be responsible for the preparation of technical material concerning their fields of responsibility within the project. The Communication Plan will make use of a number of deliverables prepared during the project and especially the Dust Management Plan.

The Communication Plan will be based on the preparation and dissemination of electronic material provided over the internet. In particular it is foreseen that the currently running air quality website managed by the DLI’s Air Quality Section, will be suitably modified to support the dissemination of the new material.

The Action Plan will be prepared during Months 23-24.

Methods Employed

This ACTION will include the following:Preparation of the Communication Plan. The plan will detail the material that will be sent to the various recipients, and the material that will be presented over the Internet activities include:

Collection of written material prepared during the project and preparation of a Project Communication Folder.

Preparation of supplementary explanatory material or documentation. Preparation of communication material Updating the WEB site.



Expected results (quantitative information when possible):The result of this Action will be the continuation of dissemination activities for the project even after the project is completed.

Results will include: List and contacts of organisations that should be targeted for dissemination Communication plan

Indicators of progress: Preparation of the communications folder Number of contacts selected for communication Detail and coherence of the Communication plan

DELIVERABLE PRODUCTS OF THE PROJECT

Name of the Deliverable Code of the associated action Deadline

Air quality monitoring data analysis, compliance baseline A01 9

Air quality data, on-line data base and analysis tools A01 6

Meteorology, 3 year reference data sets A01 9

Dust sampling plan A02 4

Dust samples and associated field protocols A02 17

Dust sample analysis reports A02 22

Satellite imagery: data and methodology description A03 9

Satellite imagery: land use/land cover report, maps A03 9

Satellite imagery: aerosol optical density (reference period) A03 15

Dust emission modelling: reference year data, validation A04 15

Operational dust entrainment model, on-line A04 15

Model system, reference and user manuals A05 16

Model system, operational web implementation A05 16

Quantification of street scale contributions on urban PM

levels, AUTH A06 18

Model runs and interpretation of Results A06 21

Emission control optimization, user and reference manuals A07 24

Emission control, operational model system A07 26

Dust management plan A08 32

Dissemination plan A09 35

Information products A09 24

Project web server, operational on-line A09 4

End of Project Workshop A09 35

Project reports A10 Annual

Monitoring reports A11 Periodic

After Life Communication Plan A12 36

MILESTONES OF THE PROJECT

Name of the MilestoneCode of the associated

action

Deadline (Month)

Kickoff Meeting A01 02

M1 End of preparatory Phase: data analysis, web server A01, A09 03

M2 Implementation I: RS data sets, dust sampling plan A02, A03 04

M3 Implementation II: A02-A06 active, A07 ready to start A02-A06 09

M3 Midterm: A02- A07 active, draft deliverables A02-A07 24

M4 Implementation III: A03 and A04 finalized, A08 starting A03, A04 32

M5 Implementation IV: first draft of dust management plan A08 32

M6 Implementation V: A02, A05, A06 finalized A02, A05, A06 21

End of Project Workshop A11 35

M7 Project end: all actions completed, final report A08 – A12 36

ACTIVITY REPORTS FORESEEN

Type of report Deadline

Inception Report Month 6

Progress Report No. 1 Month 9

Midterm Report Month 18

Progress Report No.2 Month 27

Final Report Month 36

LIFE+ Environment Policy and Governance 2009- C3TIMETABLE

List all actions ordered by number and using their numbers or names. Tick as appropriate.(Remember that projects cannot start prior to the date of the signature of the grant agreement)

ACTION 2011 2012 2013I II III IV I II III IV| I II III IV

1 X X X2 X X X X X X X X3 X X X X X4 X X X X5 X X X X X6 X X X X X7 X X X X X X8 X X X9 X X X X X X X X X X X X10 X X X X X X X X X X X X11 X X X X X X X X X X X X12 X

Timetable of activities A01 – A12 with monthly resolution:

Nr 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36

01 X X X X X X X X X02 X X X X X X X X X X X X X X X X X X X X X X03 X X X X X X X X X X X X X X04 X X X X X X X X X X X X05 X X X X X X X X X X X X X06 X X X X X X X X X X X X X X X07 X X X X X X X X X X X X X X X X X08 X X X X X X X X09 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X10 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X11 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X12 X X

Documents

LIFE-Nature 2005 Application Forms, Sections A-C · Web viewTitle LIFE-Nature 2005 Application Forms, Sections A-C Subject life Author european commission Keywords life, environment,