Abstract
The delimitation of so-called sensitive areas is one of the means adopted to prevent contamination of groundwater. This study aims to assess the vulnerability to pollution of Oued Laya shallow aquifer (Central Tunisia) using three parametric approaches linked to Geographic Information System: Standard DRASTIC, Pesticide DRASTIC and Susceptibility Index (SI) methods. According to Standard DRASTIC, the low vulnerability represents the major part of the aquifer, 97%, and the moderate vulnerability, presents only 3% appearing in two small areas in the North-East and South-East. The SI and Pesticide DRASTIC methods however highlight higher susceptibility to pollution. The former assigned 15% to the moderate vulnerability detected in the North-East and South-East and the later allocated 35.5 and 0.5% to the moderate and high vulnerability, observed along the Eastern part and in the North-East part, respectively. Vulnerability methods comparison and spatial distribution of groundwater nitrate content tend to indicate that Pesticide DRASTIC better reflects the specific aquifer vulnerability than SI. Standard DRASTIC, as intrinsic vulnerability method, reflect worst the specific vulnerability to anthropic activities. For the three methods, the most vulnerable parts of the aquifer corresponds to areas subjected to the agricultural pollution from the irrigated lands and to urban contamination, which comes from the wastewater treatment plant (WWTP) of Kalaa Sghira and the uncontrolled landfill located in the Oued Laya river bank close to Akouda. The groundwater protection of Oued Laya aquifer against these pollutions requires removing the uncontrolled landfill and improving the wastewater treatment performance of Kalaa Sghira WWTP.
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El Amrı, A., Anane, M., Drıdı, L., Srasra, M., Majdoub, R. (2021). A GIS Based DRASTIC, Pesticide DRASTIC and SI Methods to Assess Groundwater Vulnerability to Pollution: Case Study of Oued Laya (Central Tunisia). In: Khebour Allouche, F., Negm, A.M. (eds) Environmental Remote Sensing and GIS in Tunisia. Springer Water. Springer, Cham. https://doi.org/10.1007/978-3-030-63668-5_8
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