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The Datacrossing DSS: a Data-GRID Web Based Approach to Groundwater Modeling using SRB ( http://datacrossing.crs4.it/dev/ ). P. CAU, S. MANCA, E. BONOMI, M. VOCALE CRS4 , POLARIS, Pula, Italy, email:[email protected], tel +390709250281. Objectives. - PowerPoint PPT Presentation
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Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008
The Datacrossing DSS: a Data-GRID Web Based Approach to The Datacrossing DSS: a Data-GRID Web Based Approach to Groundwater Modeling using SRBGroundwater Modeling using SRB
((http://datacrossing.crs4.it/dev/))
P. CAU, S. MANCA, E. BONOMI, M. VOCALE
CRS4, POLARIS, Pula, Italy, email:[email protected], tel +390709250281
Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008
- Our primary objective Our primary objective is to develop a user-friendly Web-based decision support system combining distributed Data resources, groundwater models, and DB-GIS technologies in the field of groundwater management.
- the idea is to build a development platform, that by introducing the computational and data-sharing advantages of the GRID technologies, promotes joint initiatives and encourages cooperation among initiatives and encourages cooperation among interdisciplinary teams operating in environmental sciencesinterdisciplinary teams operating in environmental sciences
- apply the Datacrossing DSS in other sites to improve tools and apply the Datacrossing DSS in other sites to improve tools and methodologies methodologies for groundwater management and sustainable exploitation
ObjectivesObjectives
Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008
The Datacrossing DSSDatacrossing DSS (http://datacrossing.crs4.ithttp://datacrossing.crs4.it) is a basin-scale groundwater model to support decision makers, through a user-friendly Web interface, in the field of sustainable water resources management.
The portal, for the general user, exposes hydrological applications hydrological applications based on complex models (CODESA 3D)based on complex models (CODESA 3D) that make use of large volumes of distributed data available in a GRID infrastructureGRID infrastructure.
The DSS allows users to:
• query data collections; visualize maps;
• identify in time and space locations of pollution sources;
• design monitoring networks;
• simulate contamination and seawater intrusion scenarios.
A Web-based DSSA Web-based DSS
Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008
The SDSC Storage Resource Broker (SRB) technology has been used to design the data-grid infrastructure
SRB is client-server middleware that Provides a uniform interface for connecting to heterogeneous data resources over a network.
It allows the organization of data from heterogeneous systems into easily accessible logical collections,
In combination with the Metadata Catalog, SRB supports location transparency by accessing data objects through queries on their attributes rather than on their physical locations
The DATA-GRID infrastructureThe DATA-GRID infrastructure
Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008
The DATA-GRID infrastructureThe DATA-GRID infrastructure
The partecipating partners:
CRS4: AREA GISAREA GIS, IPPS e NSM IPPS e NSM
UNICA: DIGITADIGITA
By building a SRB data GRID infrastructure we expect to sustain the sharing of knowledge, interdisciplinary work and improve research
Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008
The DATA-GRID infrastructureThe DATA-GRID infrastructure
FRONT ENDFRONT ENDhttp://datacrossing.crs4.ithttp://datacrossing.crs4.it
CRS4 zoneUNICA zone………..
Applications:CODESA 3DGRASSPHEEQC…….
Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008
Datacrossing DSS (Datacrossing DSS (http://datacrossing.crs4.it/dev //))
Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008
The TechnologiesThe Technologies
The technologies that have been utilised are:
- GNU/LinuxGNU/Linux - Apache - Apache - SRB- SRB
- CODESA3D CODESA3D - Perl - Perl - PHP - PHP
- JavascriptJavascript - Mapserver- Mapserver
““Free softwareFree software”” and in-house technologies are combined to transparently and automatically deploy the applications
Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008
Datacrossing DSS (Datacrossing DSS (http://datacrossing.crs4.it/dev))
Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008
The PortoscusoThe Portoscuso
The Portoscuso aquifer (composed of 3 formations) is found in the Portovesme industrial area, (South-West Sardinia, Italy). The aquifer is being heavily impacted. Contamination is due to: - mining and industrial activities
Field data about air, soil, and the groundwater quality are critical. The area is declared of being on “high environmental risk”.
The Oued Laou quaternary aquifer site is found in the Tetuan province, (Northern coast of Marocco). The area, overlying the aquifer system, is characterized by the presence of activities that draw on the traditions and culture of the local population (agro- zootechnical activities).
Increasing values of salt concentrations and large areas of salty soil have been observed along the coast.
The Oued LaouThe Oued Laou
Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008
Marocco SardiniaMarocco Sardinia
Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008
- Data analysis and site characterization: geological surveys - geophysical surveys - hydrochemical data (monitoring campaigns) - topography – boreholes - data about hydrology and civil, industrial and agrozootechnical pressure on the environment, etc.
- Calibration/validation of the model and its implementation on the DSS
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Numerical description of phenomena
Numerical domain and characterization The web DSS
Dat
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Work flowWork flow
Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008
Management of the sManagement of the seawater intrusioneawater intrusion
Management of leakage eventManagement of leakage event
The Portoscuso Industrial SiteThe Portoscuso Industrial Site
Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008
The source analyst module (Montecarlo simulation)The source analyst module (Montecarlo simulation)
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Each element of the model is considered as a possible pollution source (the model is run for each possible case). For each sim it is then calculated:
At each time step, the colors (from dark red to green) represent the distance between the simulated and the measured concentrations. Dark red is the minimum distance (closer to reality), while the green color is the maximum distance.
1. for each well, the distance between field data and the simulated value
2. the avarage distance (varj) between simulated and measured values
Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008
The source analyst moduleThe source analyst module
Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008
The Network analyst moduleThe Network analyst module
Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008
This collaborative initiative has yielded ideal ground for developing tools, combining simulation software, geographical information
systems and GRID technologies that will aid management decision-making.
Application deployment on the GRID is cumbersome, because of the complexity that can be harnessed only by interdisciplinary teams of the
involved technologies
For the future, client/server GIS applications are moving to the Internet cyberspace, using ever more web services to extract meaningful
information from distributed data in the territory
ConclusionConclusion
Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008
Acknowledgements
The authors gratefully acknowledge the support of RAS (RRegione AAutonoma SSardegna).
DatacroSSing is actively supported by:
GRIDA3: http://grida3.crs4.it/grida3/doku.php CybersAR: http://www.cybersar.com/