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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中的一种修改的爆炸模型,用于评估菲律宾布拉克州Malolos城市硝酸盐污染的地下水脆弱性

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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:评估地下水脆弱性是预防和地下水污染的控制至关重要。这可以通过各种工具或模型,如激烈的模型的帮助下完成的。然而,这种模式只适用于一个地区的内在脆弱性评估有用的,是不适合于特定的脆弱性评估。一种改进DRASTIC方法被积分的另一参数显影,并在地理信息系统(GIS)平台上实现:土地使用,以确定哪些区域是最可能特别到污染物硝酸盐脆弱的,因为它通常是由人为因素引入并且是不在地面天然存在的。使用不同的统计分析包括科恩Kappa系数,Pearson相关分析,ANOVA F统计,和卡方值的准确性,适当性,并且所产生的脆弱性地图的可靠性进行了分析。科恩Kappa系数为硝酸盐浓度和硝酸脆弱性指数类具有值范围从0.67至0.79,其指示类之间良好的一致性。使用修改的DRASTIC模型的脆弱类和实际地下水硝酸盐浓度之间的相关性是0.84,相比于使用原来的DRASTIC模型获得的0.32。用于改性DRASTIC模型的卡方值是52.92,相比于原始DRASTIC模型,其表示改性DRASTIC模型与实际地下水硝酸盐浓度的脆弱类之间的高度相关的8.72,因此指示在所述的改进修改后的模型的效率。最后,ANOVA F统计量的修正模型为36.28,相比原来的DRASTIC模型的0.75。 F统计为修改后的模型的较高值表示不同的漏洞类硝酸盐浓度的平均值之间的下部重叠。地下水脆弱性硝酸盐污染地图可以帮助官员识别可能质量差到城市的供水作出贡献水的地方,在那里地下水可用来充分发挥其潜力的地方。

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