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/)
P. CAU, S. MANCA, E. BONOMI, M. VOCALE
CRS4, POLARIS, Pula, Italy, email:plcau@crs4.it, tel +390709250281
Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008
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
Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008
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.
Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008
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
Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008
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
Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008
The DATA-GRID infrastructure
Applications:
CODESA 3D
GRASS
PHEEQC
…….
CRS4 zone
UNICA zone
………..
FRONT END
http://datacrossing.crs4.it
Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008
Datacrossing DSS (http://datacrossing.crs4.it/dev /)
Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008
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
Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008
Datacrossing DSS (http://datacrossing.crs4.it/dev)
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
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.
Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008
Marocco
Sardinia
Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008
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
Database
The web DSS
Numerical description of phenomena

c 


   v  Sw

q

t
t  0


 ( Swc)  (cv )    ( Dc)  qc *  f

t

Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008
The Portoscuso Industrial Site
Management of leakage event
Management of the seawater intrusion
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:
1. for each well, the distance
between field data and the simulated
value
r
m is
J
c J (Ti )  cr  cr (Ti )
2. the avarage distance (varj)
between simulated and measured
values
r 2
 (c J )
varJ [C m is , C J (Ti )]  r
M
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.
Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008
The source analyst module
Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008
The Network analyst module
Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008
Conclusion
This collaborative initiative has yielded ideal ground for developing
tools, combining simulation software, geographical information
systems and GRID technologies that will aid management decisionmaking.
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
Building data grids with iRODS - e-Science Institute, Edinburgh – May 2008
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).