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A Modified DRASTIC Model in GIS for Assessing Groundwater Vulnerability to Nitrate Contamination in Malolos City, Bulacan, Philippines

机译:GIS中的DRASTIC修改模型,用于评估菲律宾布拉坎马洛洛斯市地下水对硝酸盐污染的脆弱性

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Assessing groundwater vulnerability is essential for the prevention and control of groundwater contamination. This can be done with the help of various tools or models like the DRASTIC model. However, this model is only useful for intrinsic vulnerability assessment of an area and is not appropriate for specific vulnerability assessments. A modified DRASTIC method was developed and implemented in a geographic information system (GIS) platform by integrating another parameter: land use, to determine which areas are most likely vulnerable specifically to the contaminant nitrate, since it is usually introduced by anthropogenic factors and is not naturally occurring in the ground. The accuracy, appropriateness, and reliability of the vulnerability map produced were analyzed using different statistical analyses including Cohen Kappa coefficient, Pearson's correlation analysis, ANOVA F-statistic, and the chi-square value. The Cohen Kappa coefficient for the nitrate concentration and nitrate vulnerability index classes have values ranging from 0.67 to 0.79 which indicates good agreement between the classes. The correlation between the vulnerability class and the actual groundwater nitrate concentrations using the modified DRASTIC model is 0.84, compared to the 0.32 obtained using the original DRASTIC model. The chi-square value for the modified DRASTIC model is 52.92, compared to the 8.72 of the original DRASTIC model, which indicates a high association between the vulnerability classes of the modified DRASTIC model and the actual groundwater nitrate concentrations, thus indicates an improvement in the efficiency of the modified model. Finally, the ANOVA F-Statistic for the modified model is 36.28, compared to the 0.75 of the original DRASTIC model. The higher value of the F-Statistic for the modified model indicates a lower overlap between the mean values of nitrate concentration in the different vulnerability classes. The groundwater vulnerability to nitrate contamination map can help officials identify places that are likely to contribute water with poor quality to the city's water supply, and places where the groundwater can be utilized to their full potential.
机译:评估地下水脆弱性对于预防和控制地下水污染至关重要。这可以借助各种工具或模型(例如DRASTIC模型)来完成。但是,此模型仅对区域的固有漏洞评估有用,不适用于特定的漏洞评估。通过集成另一个参数:土地使用,开发了一种改良的DRASTIC方法并将其实施在地理信息系统(GIS)平台中,以确定土地最有可能易受硝酸盐污染的区域,因为该污染通常是由人为因素引起的,而不是由人为因素引起的。自然发生在地下。使用不同的统计分析方法(包括Cohen Kappa系数,Pearson相关分析,ANOVA F统计量和卡方值)对生成的脆弱性图的准确性,适当性和可靠性进行了分析。硝酸盐浓度和硝酸盐脆弱性指数类别的Cohen Kappa系数的值在0.67至0.79的范围内,表明类别之间的一致性很好。与使用原始DRASTIC模型获得的0.32相比,使用改良的DRASTIC模型获得的脆弱性类别与实际地下水硝酸盐浓度之间的相关性为0.84。与原始DRASTIC模型的8.72相比,修改后的DRASTIC模型的卡方值为52.92,这表明修改后的DRASTIC模型的脆弱性类别与实际地下水硝酸盐浓度之间存在高度关联,因此表明修改后的模型的效率。最后,与原始DRASTIC模型的0.75相比,修改后模型的ANOVA F统计量为36.28。修改后的模型的F统计量越高,表明在不同脆弱性类别中硝酸盐浓度平均值之间的重叠越小。地下水易受硝酸盐污染的程度,可以帮助官员确定可能给城市供水造成劣质水的地方,以及可以充分利用地下水的地方。

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