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Multicriteria-analysis of deep groundwater quality using WQI and fuzzy logic tool in GIS: A case study of Kebilli region, SW Tunisia
Journal of African Earth Sciences ( IF 2.3 ) Pub Date : 2021-04-20 , DOI: 10.1016/j.jafrearsci.2021.104224
Fatma Ben Brahim , Emna Boughariou , Salem Bouri

The suitability of groundwater for drinking and irrigation purposes is potentially disturbed by a variety of factors, including climate change, salinization and risky agricultural practices. The region of Kebilli (Southwestern Tunisia) is marked by an arid climatic condition with a Saharan tendency. However, the spatial partition of the stress factors was not addressed so far in spite of the increasing demand for groundwater to the agricultural and domestic activities which supports the social and economic pressure. Therefore, Water Quality Index (WQI) and Fuzzy Logic models were applied to evaluate the groundwater quality in the Kebilli region for both drinking and irrigation purposes using the geographic information system (GIS) environment to analyze the spatial partition of various factors. According to the analytical results, the calculated values of WQI are between 83.421 and 436.858 for drinking and range from 50 to 77 for irrigation purposes. The prepared Fuzzy spatial maps show that the “desirable” and “acceptable” classes of groundwater quality samples are situated in the center of the studied region, while the “undesirable” quality of groundwater is observed mainly at the Southeastern sectors due to the domestic and agricultural activities besides the over-exploitation of the aquifer. In addition, the Fuzzy membership levels generated into a GIS-based maps give a high correlation of 0.88 and 0.79 with assessed values of WQI for both drinking and irrigation purposes respectively. Grouping analyses also confirm the resulted maps, in turn, the anthropogenic effects coincides globally with the unsuitable areas for both drinking and irrigation purposes. Consequently the perturbations in the fragile environment of the oasis ecosystem are closely related to the deterioration of the groundwater quality and the intensive use of fertilizers and pesticides for agricultural needs in the Kebilli region. The research results may improve the understanding of the groundwater sustainability and as support decision makers for planning the water management and its protection.



中文翻译:

GIS中使用WQI和模糊逻辑工具对深层地下水水质进行多标准分析:以突尼斯西南部凯比利地区为例

地下水用于饮用水和灌溉的适用性可能会受到多种因素的干扰,包括气候变化,盐碱化和危险的农业实践。凯比利(突尼斯西南部)地区的干旱气候条件是撒哈拉以南。然而,尽管对农业和家庭活动的地下水需求不断增加,这支撑了社会和经济压力,但压力因素的空间划分至今尚未得到解决。因此,使用地理信息系统(GIS)环境来分析各种因素的空间分配,使用水质指数(WQI)和模糊逻辑模型来评估Kebilli地区的饮用水和灌溉目的地下水质量。根据分析结果,饮用水的WQI的计算值介于83.421和436.858之间,灌溉的WQI的计算值介于50到77之间。所准备的模糊空间图表明,“理想”和“可接受”的地下水水质样本位于研究区域的中心,而“不理想”的地下水水质主要在东南部地区被发现,这是由于国内和国际的原因。除了过度开采含水层以外的农业活动。此外,在基于GIS的地图中生成的模糊隶属度水平分别为饮水和灌溉目的与WQI的评估值提供了0.88和0.79的高度相关性。分组分析还证实了结果图,反过来,人为影响在全球范围内与不适合饮用和灌溉的地区相吻合。因此,在绿洲生态系统脆弱的环境中的摄动与凯比利地区的地下水水质恶化以及为满足农业需求而大量使用化肥和杀虫剂密切相关。研究结果可能会增进对地下水可持续性的理解,并为决策者规划水管理及其保护提供支持。

更新日期:2021-04-26
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