Using statistical models and GIS to delimit the groundwater recharge potential areas and to estimate the infiltration rate: A case study of Nadhour-Sisseb-El Alem Basin,Tunisia |
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Authors: | Ali SOUEI |
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Institution: | 1.Georesources Laboratory, Water Researches and Technologies Center (WRTC) of Borj Cedria, Soliman 8020, Tunisia;2.Department of Geology, FST, University of Tunis El Manar, Tunis C P 2092, Tunisia;3.Department of Geo-Exploration Techniques, Faculty of Earth Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia |
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Abstract: | The water resources of the Nadhour-Sisseb-El Alem Basin in Tunisia exhibit semi-arid and arid climatic conditions. This induces an excessive pumping of groundwater, which creates drops in water level ranging about 1-2 m/a. Indeed, these unfavorable conditions require interventions to rationalize integrated management in decision making. The aim of this study is to determine a water recharge index (WRI), delineate the potential groundwater recharge area and estimate the potential groundwater recharge rate based on the integration of statistical models resulted from remote sensing imagery, GIS digital data (e.g., lithology, soil, runoff), measured artificial recharge data, fuzzy set theory and multi-criteria decision making (MCDM) using the analytical hierarchy process (AHP). Eight factors affecting potential groundwater recharge were determined, namely lithology, soil, slope, topography, land cover/use, runoff, drainage and lineaments. The WRI is between 1.2 and 3.1, which is classified into five classes as poor, weak, moderate, good and very good sites of potential groundwater recharge area. The very good and good classes occupied respectively 27% and 44% of the study area. The potential groundwater recharge rate was 43% of total precipitation. According to the results of the study, river beds are favorable sites for groundwater recharge. |
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Keywords: | potential recharge remote sensing statistical models MCDM Nadhour-Sisseb-El Alem Basin |
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