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Groundwater Vulnerability Mapping in Faisalabad District Using GIS Based Drastic Model

机译:基于GIS的剧烈模型,Faisalabad区的地下水漏洞映射

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The demand of groundwater has significantly increased during the past two decades to meet the food and fiber requirements due to constrained surface irrigation water. The groundwater has a major share to grow agriculture in Punjab-Pakistan, which produces more than 90% gains of the country. Beside the importance of groundwater, a major concern in recent years is the contamination of groundwater. The consecutive monitoring and mapping of aquifer water quality in large areas is a hectic job and not even economically feasible. Thus groundwater vulnerability maps are becoming more in demands to represents regional aquifer contamination potential. The aim of this research work was to find out the groundwater vulnerability potential zones in Faisalabad and its nearby areas, which is the fastest growing city of Pakistan. For this purpose, GIS based DRASTIC model was used to measure vulnerability related to agriculture in Faisalabad district. The inputs of the model are based on seven different layers. The results of the model were compared with groundwater samples. It was found that the DRASTIC model accurately identified the vulnerability of Faisalabad District with prediction efficiency of about 73%. The results revealed that more than 30% of study area was under high vulnerability potential. The areas under high vulnerable pollution are located in middle and upper part of Faisalabad District. The high vulnerable pollution in surrounding of Salarwala, Chak Jhumra and Khurianwala cities was due to shallow groundwater table, high recharge, gradual slope, sandy aquifer media and soil media consist of medium sand. The high vulnerable pollution in surrounding of Dijkot city was due to shallow groundwater table, gradual slope, vadose zone consist of course sand and high hydraulic conductivity. It is therefore recommended that Rainwater harvesting and ASR (Aquifer Storage and Recovery Wells) should be adopted in medium and high vulnerability areas to reduce water salinity.
机译:在过去二十年中,地下水的需求显着增加,以满足由于受约束的表面灌溉水引起的食品和纤维要求。地下水在旁遮普 - 巴基斯坦增长农业的主要份额,这产生了90%以上的国家收益。除了地下水的重要性外,近年来的主要问题是地下水的污染。在大区域的连续监测和含水层水质的测绘是一种忙碌的工作,甚至没有经济上可行。因此,地下水漏洞地图正变得越来越需要代表区域含水层污染潜力。这项研究工作的目的是找出Faisalabad及其附近地区的地下水脆弱性潜在区域,这是最快的巴基斯坦市。为此目的,基于GIS基于GIS的剧烈模型用于衡量与Faisalabad区的农业相关的漏洞。该模型的输入基于七个不同的层。将模型的结果与地下水样品进行比较。发现剧烈模型准确地确定了法萨拉巴德区的脆弱性,预测效率约为73%。结果表明,超过30%的研究区受高脆弱性潜力。高弱势污染下的区域位于法萨拉巴德区的中部和上半部分。 Salarwala,Chak Jhumra和Khurianwala城市周围的高脆弱污染是由于地下水位,高充电,逐渐坡,桑迪含水层媒体和土壤媒体组成。 Dijkot City周围的高弱势污染是由于浅层地下水位,逐渐坡度,散塞区由课程沙子和高液压导电率组成。因此,建议在中高漏洞区域采用雨水收集和ASR(含水层储存和恢复井)以减少水盐度。

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