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首页> 外文期刊>Arabian journal of geosciences >Groundwater vulnerability assessment using GIS-based DRASTIC models in shallow aquifer of Gabes North (South East Tunisia)
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Groundwater vulnerability assessment using GIS-based DRASTIC models in shallow aquifer of Gabes North (South East Tunisia)

机译:使用基于GIS的DRASTIC模型在加布斯北部(突尼斯东南部)浅层含水层中进行地下水脆弱性评估

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Aquifer vulnerability has been assessed in the northern part of Jeffarra Basin (Southern Tunisia) using the DRASTIC models, based on a geographic information system. Two vulnerability maps have been developed in this study: the pesticide DRASTIC vulnerability map and the generic DRASTIC vulnerability map. These maps show that the study area is more sensitive to pesticide contamination. About 23 % of this area is under high to very high vulnerability to pesticide contamination, while only 9 % under high vulnerability to generic pollution. In the both cases, the Oued El Maleh Basin and the Oued El Mazra Basin in the coastal plain are the most vulnerable zones. The middle part of the study area is dominated by moderate vulnerability classes, while the southwest part displayed "low" vulnerability classes. The superposition of the DRASTIC maps with land use map shows that most agricultural areas are located in the high to very high vulnerability zones, which imposes a high risk of contamination by pesticides in these areas. Depth to water parameter inflicted the largest impact on the generic vulnerability index followed by the impact of the vadose zone, net recharge, and topography. The pesticide vulnerability index is more sensitive to the removal of the net recharge parameter followed by the depth to water, soil media, and topography. Compared with other studies, the sensitivity analyses show that in the case of porous aquifers, the aquifer media parameter is always the layer which compels less variation of the generic DRASTIC index.
机译:基于地理信息系统,已使用DRASTIC模型在Jeffarra盆地北部(突尼斯南部)评估了含水层的脆弱性。在这项研究中,开发了两个漏洞图:农药DRASTIC漏洞图和通用DRASTIC漏洞图。这些图表明研究区域对农药污染更敏感。该地区约23%处于极高的极易遭受农药污染的风险,而只有9%处于极高的易受仿制药污染的风险。在这两种情况下,沿海平原的Oued El Maleh盆地和Oued El Mazra盆地都是最脆弱的地区。研究区域的中间部分是中等程度的漏洞级别,而西南部分则显示“低级”漏洞级别。 DRASTIC地图与土地利用地图的叠加表明,大多数农业地区都位于高至极高的脆弱性区域,这使这些地区的农药受到污染的风险很高。深度水参数对通用脆弱性指数的影响最大,其次是渗流区,净补给和地形的影响。农药的脆弱性指数对净补给参数的去除更敏感,其次是对水,土壤介质和地形的深度。与其他研究相比,敏感性分析表明,在多孔含水层的情况下,含水层介质参数始终是强迫通用DRASTIC指数变化较小的层。

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