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Assessing Pollution Risk in Ardabil Aquifer Groundwater of Iran with Arsenic and Nitrate Using the SINTACS Model

机译:利用SINTACS模型评估伊朗阿尔达尔含水层地下水的污染风险

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摘要

Groundwater vulnerability assessment is a general method for studying groundwater pollution. This study aimed to assess the pollution risk of groundwater with nitrate and arsenic. Risk is comprised of two parts: calculation of occurrence probability map and composition of occurrence probability map with groundwater vulnerability model. To draw up a groundwater vulnerability map, the SINTACS model was used. The correlation of the model with nitrate and arsenic concentrations was investigated. The correlation coefficients of the SINTACS model with nitrate and arsenic were r = 0.70 and r = 0.85, respectively. According to sensitivity analysis, we concluded that the SINTACS model had the least sensitivity to hydraulic conductivity. To prepare the occurrence probability map, nitrate and arsenic concentrations were combined separately with the groundwater recharge potential model. Finally, the risk map was prepared by combining the occurrence probability map and groundwater vulnerability with the SINTACS model. The results revealed that 14.72% of the study area had a high risk of nitrate and 35.33% had a high risk of arsenic. The areas with high pollution risk are those which are considered agricultural lands based on the land use map.
机译:地下水脆弱性评估是研究地下水污染的一般方法。本研究旨在评估硝酸盐和砷地下水的污染风险。风险由两部分组成:计算发生概率图和地下水漏洞模型的发生概率图和成分。要绘制地下水漏洞图,使用SINCACS模型。研究了模型与硝酸盐和砷浓度的相关性。用硝酸盐和砷的SINTACS模型的相关系数分别为r = 0.70和r = 0.85。根据敏感性分析,我们得出结论,SINTACS模型对液压导电性具有最小的敏感性。为了准备发生概率图,与地下水补给潜在模型分开合并硝酸盐和砷浓度。最后,通过将出现概率图和地下水脆弱性与SINTACS模型相结合来制备风险图。结果表明,14.72%的研究区具有高硝酸盐的风险,35.33%具有高风险的砷。污染风险高的地区是基于土地使用地图的农业土地被视为那些。

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