School of Chemical & Environmental Engineering, China University of Mining & Technology-Beijing, Beijing, 100083, China.
Technical Centre for Soil, Agriculture and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing, 100012, China.
Environ Sci Pollut Res Int. 2023 Sep;30(43):97078-97091. doi: 10.1007/s11356-023-29282-2. Epub 2023 Aug 16.
Groundwater vulnerability can partially reflect the possibility of groundwater contamination, which is crucial for ensuring human health and a good ecological environment. The current study seeks to assess the groundwater vulnerability of Zhengzhou City by adopting an amended version of the traditional DRASTIC model, i.e., the DRASTICL model, which incorporates land use type indicators. More specifically, the AHP-DRASTICL, entropy-DRASTICL, and AE-DRASTICL models were established by optimizing weights using the analytic hierarchy process (AHP) and entropy weight method. The evaluation results for these five models were divided into five levels: very low, low, medium, high, and very high. Using Spearman's rank correlation coefficient, the nitrate concentration was used to verify the groundwater vulnerability assessment results. The AE-DRASTICL model was found to perform the best, with a Spearman correlation coefficient of 0.78. However, the AHP and entropy weight method effectively improved the accuracy of vulnerability assessment results, making it more suitable for the study area. This study provides important insights to inform the design of strategies to protect groundwater in Zhengzhou.
地下水脆弱性在一定程度上反映了地下水遭受污染的可能性,这对于保障人类健康和良好的生态环境至关重要。本研究采用修正后的传统 DRASTIC 模型(即 DRASTICL 模型),结合土地利用类型指标,对郑州市地下水脆弱性进行评估。具体而言,利用层次分析法(AHP)和熵权法对权重进行优化,建立了 AHP-DRASTICL、熵权-DRASTICL 和 AE-DRASTICL 模型。五个模型的评价结果分为五个等级:极低、低、中、高和极高。利用 Spearman 秩相关系数,以硝酸盐浓度对地下水脆弱性评价结果进行验证。AE-DRASTICL 模型的表现最佳,Spearman 相关系数为 0.78。然而,AHP 和熵权法有效提高了脆弱性评价结果的准确性,使其更适用于研究区。本研究为郑州市地下水保护策略的制定提供了重要参考。