Abstract：
Groundwater plays a vital role in supporting water for the different needs of domestic, agricultural, and industrial sectors, and its vulnerability assessment to pollution is a valuable tool for establishing protective and preventive management. DRASTIC is a well-known GIS-based model for assessing groundwater vulnerability to pollution, which uses seven parameters including depth-to-water level, net recharge, aquifer media, soil media, topography, the impact of the vadose zone, and hydraulic conductivity. The predefined weights of DRASTIC parameters have made a barrier to its applicability for different regions with different hydroclimatic conditions. To overcome this problem, it has been suggested to apply analytic hierarchy process (AHP) method for modifying the model by adjusting the weights of the parameters. AHP is a widely used method to elicit experts\' judgments about different involving parameters through constructing pairwise comparison matrixes (PCMs). Since AHP calculates the weights by performing pairwise comparisons between the parameters, achieving consistent comparisons is difficult when the number of parameters increases. The objective of this research is to modify the DRASTIC model by integrating the connecting path method (CPM) and AHP. The proposed methodology involves asking experts to perform a number of pairwise comparisons between the parameters and then construct an incomplete PCM using the obtained information. To complete the missing values in the PCM, CPM is employed. The CPM is an effective approach that not only estimates missing judgments but also ensures minimal geometric consistency. The proposed method along with DRASTIC and pesticide DRASTIC models is applied to Khoy County, which is located in the northwest part of Iran. The efficiency of the proposed method was further confirmed through the results of the Pearson coefficient test conducted on nitrate concentrations. The test revealed correlation values of 0.47, 0.27, and 0.57 for DRASTIC, pesticide DRASTIC, and modified DRASTIC, respectively. These results demonstrated that the proposed method provides a more precise evaluation of groundwater vulnerability.
摘要：
地下水在满足不同的生活需求方面起着至关重要的作用，农业,和工业部门，其对污染的脆弱性评估是建立保护性和预防性管理的宝贵工具。DRASTIC是一个众所周知的基于GIS的模型，用于评估地下水对污染的脆弱性，它使用七个参数，包括深度到水位，净充值，含水层介质，土壤介质,地形,渗流带的影响，和水力传导性。DRASTIC参数的预定义权重阻碍了其在具有不同水文气候条件的不同地区的适用性。为了克服这个问题，有人建议应用层次分析法(AHP)通过调整参数权重来修改模型。层次分析法是一种广泛使用的方法，通过构建成对比较矩阵（PCM）来引起专家对不同涉及参数的判断。由于AHP通过在参数之间进行成对比较来计算权重，当参数数量增加时，很难实现一致的比较。本研究的目的是通过集成连接路径方法（CPM）和AHP来修改DRASTIC模型。所提出的方法包括要求专家在参数之间进行许多成对比较，然后使用获得的信息构建不完整的PCM。要完成PCM中的缺失值，使用CPM。CPM是一种有效的方法，不仅可以估计缺失的判断，而且可以确保最小的几何一致性。所提出的方法以及DRASTIC和农药DRASTIC模型应用于Khoy县，位于伊朗西北部。通过对硝酸盐浓度进行的皮尔逊系数测试的结果，进一步证实了所提出方法的效率。测试显示DRASTIC的相关值为0.47、0.27和0.57，农药DRASTIC，并修改了DRASTIC，分别。这些结果表明，所提出的方法提供了更精确的地下水脆弱性评估。
