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Sensitivity analysis and mapping the potential groundwater vulnerability zones in Birbhum district, India: A comparative approach between vulnerability models

机译：印度Birbhum区的敏感性分析和潜在的地下水脆弱性区图：脆弱性模型之间的比较方法

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The assessment of groundwater vulnerability is essential especially in developing areas, where agriculture is the main source of the population. In the present study, four different overlay and index method, namely, DRASTIC, modified DRASTIC, pesticide DRASTIC and modified pesticide DRASTIC are implemented with a view to identifying the most appropriate method that predicts the vulnerable zone to groundwater pollution. Sensitivity analysis reveals that net recharge is the most influential parameter of the vulnerability index. Cross comparison of model output shows the highest similarity of 97% is observed between drastic and modified drastic while the maximum difference in models prediction of 49% is observed between modified drastic and pesticide drastic. Reported nitrate concentrations in groundwater are considered for validation of model-generated final output map. The prediction power of the models are assessed using success and prediction rate method and it highlights DRASTIC model as the most suitable model with 89.69% and 84.54% of the area under area under the curve (AUC) for success and prediction rate respectively.
机译：评估地下水脆弱性至关重要，特别是在农业是人口主要来源的发展中地区。在本研究中，实施了四种不同的覆盖和索引方法，即DRASTIC，改良DRASTIC，农药DRASTIC和改良农药DRASTIC，以期找出最合适的方法来预测易受地下水污染的区域。敏感性分析表明，净充值是漏洞指数中最有影响力的参数。模型输出的交叉比较显示，在改良和非农药之间，最高和最高的相似度为97％，而模型预测的最大差异为49％。考虑到地下水中硝酸盐的报告浓度，以验证模型生成的最终输出图。使用成功率和预测率方法评估模型的预测能力，并强调了DRASTIC模型是最合适的模型，其曲线下面积（AUC）分别为成功率和预测率的89.69％和84.54％。

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