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The Datacrossing DSS: a Data-GRID Web Based Approach to Groundwater Modeling using SRB

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:plcau@crs4.it, tel +390709250281. Objectives.

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The Datacrossing DSS: a Data-GRID Web Based Approach to Groundwater Modeling using SRB

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  1. 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:plcau@crs4.it, tel +390709250281

  2. Objectives • 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 interdisciplinary teams operating in environmental sciences • apply the Datacrossing DSS in other sites to improve tools and methodologies for groundwater management and sustainable exploitation

  3. A Web-based DSS • 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. • 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.

  4. The DATA-GRID infrastructure 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

  5. The DATA-GRID infrastructure The partecipating partners: CRS4: AREA GIS, IPPS e NSM UNICA: DIGITA By building a SRB data GRID infrastructure we expect to sustain the sharing of knowledge, interdisciplinary work and improve research

  6. Applications: CODESA 3D GRASS PHEEQC ……. CRS4 zone UNICA zone ……….. FRONT END http://datacrossing.crs4.it The DATA-GRID infrastructure

  7. Datacrossing DSS (http://datacrossing.crs4.it/dev/)

  8. The Technologies “Free software”and in-house technologies are combined to transparently and automatically deploy the applications • The technologies that have been utilised are: • GNU/Linux - Apache - SRB • CODESA3D - Perl - PHP • Javascript - Mapserver

  9. Datacrossing DSS (http://datacrossing.crs4.it/dev)

  10. 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 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.

  11. Marocco Sardinia

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

  13. The Portoscuso Industrial Site Management of leakage event Management of the seawater intrusion

  14. 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: 1. for each well, the distance between field data and the simulated value 2. the avarage distance (varj) between simulated and measured values 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.

  15. The source analyst module

  16. The Network analyst module

  17. Conclusion 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

  18. DatacroSSing is actively supported by: GRIDA3: http://grida3.crs4.it/grida3/doku.php CybersAR: http://www.cybersar.com/ Acknowledgements The authors gratefully acknowledge the support of RAS (Regione Autonoma Sardegna).

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