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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@example.com, tel +390709250281. Objectives.
The Datacrossing DSS: a Data-GRID Web Based Approach to Groundwater Modeling using SRB
P. CAU, S. MANCA, E. BONOMI, M. VOCALE
CRS4, POLARIS, Pula, Italy, email:firstname.lastname@example.org, tel +390709250281
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 partecipating partners:
CRS4: AREA GIS, IPPS e NSM
By building a SRB data GRID infrastructure we expect to sustain the sharing of knowledge, interdisciplinary work and improve research
The DATA-GRID infrastructure
“Free software”and in-house technologies are combined to transparently and automatically deploy the applications
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.
- 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
Numerical description of phenomena
Management of leakage event
Management of the seawater intrusion
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.
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
The authors gratefully acknowledge the support of RAS (Regione Autonoma Sardegna).