Air quality and e-Reporting - INSPIREinspire.ec.europa.eu/reports/air_qlt/Air quality and e-Reporting.pptx.pdf · and individual stations measuring ambient air pollution within the

Artur Gsella, Peter Kjeld European Environment Agency

Air Quality & e-Reporting

Air quality and citizen quality of life indicators JRC Ispra, September 2013

Air quality and citizen quality of life indicators

- how has it been?

- how is it going to be?

- what are consequences and opportunities?

Air Quality Reporting in Europe – transition time

- ... and where are we in implementing e-Reporting?


- how has it been?


ETC/ACM data

processing & analysis

Member States

EEA data processing & dissemination

ETC/ACM data analysis

Member States

EEA data processing & dissemination



- how has it been?



COMMISSION IMPLEMENTING DECISION of 12 December 2011 laying down rules for Directives 2004/107/EC and 2008/50/EC of the European Parliament and of the Council as regards the reciprocal exchange of information and reporting on ambient air quality, notified under document C(2011) 9068)(2011/850/EU)

Council Decision 97/101/EC of 27 January 1997 establishing a reciprocal exchange of information and data from networks and individual stations measuring ambient air pollution within the Member States

Commission Decision 2004/461/EC of 29 April 2004 laying down a questionnaire to be used for annual reporting on ambient air quality assessment under Council Directives 96/62/EC and 1999/30/EC and under Directives 2000/69/EC and 2002/3/EC of the European Parliament and of the Council (notified under document number C(2004) 1714), (Text with EEA relevance) (OJ L156, 30.04.2004, pp.78-125)

…


- how has it been?



AQ zones (B)

Assessment regimes (C)

Meta on measurements

(D) Primary data (E)

Aggregated data (F)

Attainment (G) AQ

plans (H-K)

Exchange of Information

(EoI)

Near Real Time (NRT)

AQ Questionnaire

AQ plans



ETC/ACM (UBA, Ricardo-AEA, 4sfera)

Air Quality e-Reporting

Schema JRC Ispra


- AQ data flows interconnected experts and data operators in MS to collaborate...

- AQ e-Reporting schema one data model, common XML format for exchanging the air quality data!

- improved and extended data services


- ... and where are we in implementing e-Reporting?

Consequences and opportunities:

Air Quality e-Reporting process flows at the EEA

QA

aggreg.& statistics

XML files QA

aggreg.& statistics

XML files QA

attainment

E2a

E1a (E1b)

B,C,D,G

MS annual attainment statements (versioned)

E1a (E1b), F1a (F1b) B,C,D,G

F1a (F1b)

F2 XML validation

Reportnet

D’àE1a

D’àE2a

data services

& viewers

Content Registry/

RDF

up-to-date

validated

SDI data

services & viewers

attainment

G

ftp

SQL RDBMS

SQL RDBMS

SPATIAL DB

E2a

E1a

harvesting& querying

Air Quality e-Reporting process flows at the EEA

XML files data

services & viewers


for more information visit:

http://www.eionet.europa.eu/aqportal


Citizen science vs crowd sourcing

Crowdsourcing

NoiseWatch - http://eyeonearth.org/map/NoiseWatch

AirWatch - http://eyeonearth.org/map/AirWatch

Citizen sicience

Marine LitterWatch – available in Google Play


COMMISSION IMPLEMENTING DECISION of 12 December 2011 laying down rules for Directives 2004/107/EC and 2008/50/EC of the European Parliament and of the Council as regards the reciprocal exchange of information and reporting on ambient air quality (notified under document C(2011) 9068)(2011/850/EU):

•  Data flow B: air quality management zones •  Data flow C: assessment regimes for zones (sampling points within zones) •  Data flow D: sampling points, stations, measurement methods (processes), etc. •  Data flow E1a: primary validated measurements •  Data flow E1b: primary modelling results •  Data flow E2: primary up-to-date measurements •  Data flow F1a: aggregated, validated measurements •  Data flow F1b: aggregated modelling results •  Data flow F2: aggregated, up-to-date measurements •  Data flow G: attainment (aggregation within zones, approved by MS) •  Data flow H: air quality plans •  Data flow I: source apportionment •  Data flow J: scenario for the attainment year •  Data flow K: measures

Ideas on mobile sensors calibration

user specifies:

`citizen-centered` air quality information

user gets, e.g.:

location (lon-lat/address/map pointer?) and radius of interest

short description of the location such as: urban/rural area? heavy traffic?

number of AQ sampling points within the radius of interest, distance and meta of the nearest point

AQ indicator based on the average (may be using ID interpolation)

(idea for an interface within data viewer or a separate interactive tool, could it be used for calibration of mobile sensors with up-to-date/NRT data?)

caveats user must be informed about the effect of generalising information with increasing radius

Ideas on mobile sensors calibration

`citizen-centered` air quality information

(idea for an interface within data viewer or a separate interactive tool, could it be used for calibration of mobile sensors with up-to-date/NRT data?)

interpolation with auxiliary information on area conditions (traffic/background)?

other auxuliary data possible? (modelling? annual statistics? fields interpolated from passive sampling?)

Ideas on testing locations

Suggested testing locations

(current NRT information tested on the number of AQ measurement stations in cities/pollutant)


Other abbreviations:

•  XML – eXtensible Markup Language •  QA – Quality Assurance •  XML validation – check on fitting to the Data Model •  DB – data base •  SQL – Structured Query Language •  RDBMS – relational database management system •  Content Registry – object-oriented search engine for the EIONET data •  RDF – Resource Description Framework, a way of storing data as web resources •  SDI – Spatial Data Infrastructure •  MS – EU Member State

Documents

Air quality and e-Reporting - INSPIREinspire.ec.europa.eu/reports/air_qlt/Air quality and e-Reporting.pptx.pdf · and individual stations measuring ambient air pollution within the