1. Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008 The Datacrossing DSS: a Data-GRID Web Based Approach to Groundwater Modeling using SRB (http://datacrossing.crs4.it/dev/) http://datacrossing.crs4.it/dev/ P. CAU, S. MANCA, E. BONOMI, M. VOCALE CRS4, POLARIS, Pula, Italy, email:plcau@crs4.it, tel +390709250281

2. Building 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. initiatives and encourages cooperation among interdisciplinary teams operating in environmental sciences - 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 interdisciplinary teams operating in environmental sciences - apply the Datacrossing DSS in other sites to improve tools and methodologies - apply the Datacrossing DSS in other sites to improve tools and methodologies for groundwater management and sustainable exploitation Objectives

3. Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008 Datacrossing DSShttp://datacrossing.crs4.it The Datacrossing DSS (http://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. hydrological applications based on complex models (CODESA 3D) GRID infrastructure The portal, for the general user, exposes hydrological applications based on complex models (CODESA 3D) that make use of large volumes of distributed data available in a GRID 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 DSS

4. Building 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 infrastructure

5. Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008 The DATA-GRID infrastructure The partecipating partners: AREA GIS IPPS e NSM CRS4: AREA GIS, IPPS e NSM DIGITA UNICA: DIGITA By building a SRB data GRID infrastructure we expect to sustain the sharing of knowledge, interdisciplinary work and improve research

6. Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008 The DATA-GRID infrastructure FRONT END http://datacrossing.crs4.it CRS4 zone UNICA zone ……….. Applications: CODESA 3D GRASS PHEEQC …….

7. Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008 Datacrossing DSS ( http://datacrossing.crs4.it/dev/ ) Datacrossing DSS ( http://datacrossing.crs4.it/dev / ) http://datacrossing.crs4.it/dev

8. Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008 The Technologies The technologies that have been utilised are: - GNU/Linux - Apache- SRB - CODESA3D - Perl - PHP - Javascript- Mapserver “Free software” “Free software” and in-house technologies are combined to transparently and automatically deploy the applications

9. Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008 Datacrossing DSS ( http://datacrossing.crs4.it/dev ) http://datacrossing.crs4.it/dev

10. Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008 The 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 Laou

11. Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008 Marocco Sardinia

12. Building 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 Numerical description of phenomena Numerical domain and characterization The web DSS Database Work flow

13. Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008 Management of the seawater intrusion Management of leakage event The Portoscuso Industrial Site

14. Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008 The source analyst module (Montecarlo simulation) 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 (var j ) between simulated and measured values

15. Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008 The source analyst module

16. Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008 The Network analyst module

17. Building 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 Conclusion

18. Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008 Acknowledgements RA S The authors gratefully acknowledge the support of RAS (Regione Autonoma Sardegna). DatacroSSing is actively supported by: GRIDA3: http://grida3.crs4.it/grida3/doku.php CybersAR: http://www.cybersar.com/