Key Laboratory of Groundwater Resources and Environment of the Ministry of Education, College of New Energy and Environment, Jilin University, 2519 Jiefang Road, Changchun 130021, China; Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun 130021, China.
Key Laboratory of Groundwater Resources and Environment of the Ministry of Education, College of New Energy and Environment, Jilin University, 2519 Jiefang Road, Changchun 130021, China; Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun 130021, China.
J Contam Hydrol. 2019 Oct;226:103522. doi: 10.1016/j.jconhyd.2019.103522. Epub 2019 Jul 4.
The groundwater vulnerability assessment has been identified as an important tool of groundwater pollution prevention. In this study, the DRASTIC method was modified to estimate the groundwater vulnerability of porous aquifers to nitrate. The parameter system was optimized by replacing the original parameters of aquifer media, soil media, impact of the vadose zone and hydraulic conductivity with quantitative parameters of aquifer thickness, nitrate attenuation intensity, hydraulic resistance and groundwater velocity and adding pollutant input intensity to develop the DRANTHVP method. In addition, the rating scale of the DRASTIC method was revised, and the weight and influence degree of each parameter were determined using the projection pursuit dynamic clustering (PPDC) model. The DRANTHVP method was applied to the plain area of western Jilin Province, and the vulnerability index map of groundwater to nitrate pollution was established. The DRANTHVP method improved the correlation coefficient between vulnerability index and nitrate concentration to 0.720, which was more than three times that of the original DRASTIC method. And the high variance of the (ANOVA) F statistic indicated that there was less overlap between the nitrate values in different vulnerability classes. Furthermore, the DRANTHVP method produced a more uniform distribution of vulnerability classes. In short, the DRANTHVP method using the PPDC model was suitable to assess the groundwater vulnerability of porous aquifers to nitrate in the study area. Hence, the mapping of groundwater vulnerability to nitrate can provide a scientific and reasonable basis for the formulation of groundwater resource protection plan.
地下水脆弱性评估已被确定为地下水污染预防的重要工具。本研究对 DRASTIC 方法进行了改进，以评估多孔含水层对硝酸盐的脆弱性。通过用含水层厚度、硝酸盐衰减强度、水力阻力和地下水流速的定量参数替代含水层介质、土壤介质、包气带影响和水力传导率的原始参数，并添加污染物输入强度，开发了 DRANTHVP 方法来优化参数系统。此外，修订了 DRASTIC 方法的评分标准，并使用投影寻踪动态聚类 (PPDC) 模型确定了每个参数的权重和影响程度。将 DRANTHVP 方法应用于吉林省西部平原地区，建立了地下水硝酸盐污染脆弱性指数图。DRANTHVP 方法提高了脆弱性指数与硝酸盐浓度之间的相关系数，达到 0.720，是原始 DRASTIC 方法的三倍多。并且 (ANOVA) F 统计量的高方差表明，不同脆弱性等级之间的硝酸盐值重叠较少。此外，DRANTHVP 方法还产生了脆弱性等级更均匀的分布。总之，使用 PPDC 模型的 DRANTHVP 方法适用于评估研究区多孔含水层对硝酸盐的地下水脆弱性。因此，地下水硝酸盐脆弱性图的绘制可为制定地下水资源保护规划提供科学合理的依据。
