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首页> 外文期刊>Environmental earth sciences >Estimating groundwater vulnerability to pollution using a modified DRASTIC model in the Kerman agricultural area, Iran
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Estimating groundwater vulnerability to pollution using a modified DRASTIC model in the Kerman agricultural area, Iran

机译:使用改进的DRASTIC模型在伊朗克尔曼农业地区评估地下水对污染的脆弱性

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Groundwater contamination from intensive fertilizer application affects conservation areas in a plain. The DRASTIC model can be applied in the evaluation of groundwater vulnerability to such pollution. The main purpose of using the DRASTIC model is to map ground-water susceptibility to pollution in different areas. However, this method has been used in various areas without modification, thereby disregarding the effects of pollution types and their characteristics. Thus, this technique must be standardized and be approved for applications in aquifers and particular types of pollution. In this study, the potential for the more accurate assessment of vulnerability to pollution is achieved by correcting the rates of the DRASTIC parameters. The new rates were calculated by identifying the relationships among the parameters with respect to the nitrate concentration in groundwater. The methodology was implemented in the Kerman plain in the southeastern region of Iran. The nitrate concentration in water from underground wells was tested and analyzed in 27 different locations. The measured nitrate concentrations were used to associate and correlate the pollution in the aquifer to the DRASTIC index. The Wilcoxon rank-sum nonparametric statistical test was applied to determine the relationship between the index and the measured pollution in Kerman plain. Also, the weights of the DRASTIC parameters were modified through the sensitivity analysis. Subsequently, the rates and weights were computed. The results of the study revealed that the modified DRASTIC model performs more efficiently than the traditional method for nonpoint source pollution, particularly in agricultural areas. The regression coefficients showed that the relationship between the vulnerability index and the nitrate concentration was 82 % after modification and 44 % before modification. This comparison indicated that the results of the modified DRASTIC of this region are better than those of the original method.
机译:施肥过量对地下水造成的污染影响了平原上的保护区。 DRASTIC模型可用于评估地下水对此类污染的脆弱性。使用DRASTIC模型的主要目的是绘制不同地区地下水对污染的敏感性。但是,该方法未经修改就已用于各个领域,从而无视污染类型及其特性的影响。因此,必须对该技术进行标准化并获得批准用于含水层和特定类型的污染。在这项研究中,通过更正DRASTIC参数的比率,可以实现对污染脆弱性进行更准确评估的潜力。通过确定参数之间相对于地下水中硝酸盐浓度的关系来计算新比率。该方法在伊朗东南部的克尔曼平原实施。在27个不同的位置对地下井水中的硝酸盐浓度进行了测试和分析。测得的硝酸盐浓度用于将含水层中的污染与DRASTIC指数关联并关联。应用Wilcoxon秩和非参数统计检验确定该指数与克尔曼平原测得的污染之间的关系。此外,通过敏感性分析修改了DRASTIC参数的权重。随后,计算速率和权重。研究结果表明,改进的DRASTIC模型比非点源污染的传统方法更有效,特别是在农业地区。回归系数表明,脆弱性指数与硝酸盐浓度之间的关系为修饰后为82%,修饰前为44%。该比较表明,该区域的改良DRASTIC结果优于原始方法。

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