A modular approach to the Korba aquifer sea-water intrusion study: 1. GIS field-data analysis
Giacomelli, A.; Paniconi, C.; Khlaifi, I.; Tarhouni, J. (1999). A modular approach to the Korba aquifer sea-water intrusion study: 1. GIS field-data analysis. Natuurwet. Tijdschr. 79(1-4): 220-226
In: Natuurwetenschappelijk Tijdschrift. L. Walschot/Natuur- en Geneeskundige Vennootschap: Gent. ISSN 0770-1748, more
Also appears in:De Breuck, W.; Walschot, L. (Ed.) (1999). Proceedings of the 15th Salt-Water Intrusion Meeting Ghent (Belgium), 25-29 May 1998. Natuurwetenschappelijk Tijdschrift, 79(1-4). Natuurwetenschappelijk Tijdschrift: Gent. 307 pp., more
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| Keywords |
Information systems > GIS
Saline intrusion
Water > Ground water
Water table
MED, Tunisia [Marine Regions]
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| Authors | | Top |
- Giacomelli, A.
- Paniconi, C.
- Khlaifi, I.
- Tarhouni, J.
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| Abstract |
Sea-water intrusion is an important environmental problem in the coastal aquifers of many Mediterranean countries. In the 438 km² Korba aquifer in eastern Tunisia, a large increase in the number of pumping wells for irrigation purposes since the 1960s has resulted in a lowering to below sea level of the water-table in several observation piezometers, and in a consequent deterioration of the water quality. Several remediation scenarios are being considered for this region, including rationalization and control of water pumping from the wells, artificial recharge of the aquifer and construction of small dams to serve as an alternative source of irrigation water. In order to investigate the impact of these measures on the aquifer water quality, a GIS-based modelling study is being undertaken. The available data set comprises a number of layers of geographical information, giving a complete hydrogeological characterization of the region, and time series of chemical and hydrologic variables acquired during several ground sampling campaigns performed in the last thirty years. The GIS is used to organize this heterogeneous data structure and to control the data flow through various phases of the work, i.e. the pre-processing of input data for the model, the interpretation of model outputs, and the calibration of the model itself. The GIS serves also as a support tool in the generation of the 3D computational grid used in the numerical simulations. In addition to describing the data structure and the organization of the system, the paper illustrates also the implementation of a simple recharge optimization scenario. |
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