Hebei and China Geological Survey Key Laboratory of Groundwater Remediation, Institute of Hydrogeology and Environmental Geology, Chinese Academy of Geological Sciences, Shijiazhuang, 050061, China.
New Urbanization and Urban-Rural Coordinated Development Service Center of Hebei Province, Shijiazhuang City, Hebei Province, 050000, China.
Environ Res. 2024 Dec 1;262(Pt 2):119896. doi: 10.1016/j.envres.2024.119896. Epub 2024 Aug 31.
In recent years, driven by rapid socio-economic development and intensified human activities, the groundwater quality has exhibited a concerning trend of degradation. The challenge lies in integrating the impacts of both natural and anthropogenic factors to establish a scientific evaluation framework for the evolution of groundwater quality. This study adopts the model of driving forces - pressures - state - impacts - responses (DPSIR) proposed by the European Environment Agency, in conjunction with the Analytic Hierarchy Process (AHP) and Information Entropy Theory (IET), and the Water Quality Index (WQI) evaluation methods, to construct an evaluation index system for groundwater quality evolution that encompasses driving forces, state, and response systems. Initially, twelve indicators relevant to groundwater quality are quantified by screening across three systems, and a functional relationship between the categorization and scoring of each indicator is established. Subsequently, the weights for each system and indicator are obtained through the AHP, and the objective weights of the indicators are determined using the IET. The scores of each indicator are then comprehensively calculated. Finally, based on the defined types of groundwater quality evolution patterns, an integrated assessment of the evolution of groundwater quality over various time periods is conducted. Taking the Shijiazhuang region as a case study and analyzing the hydrochemical data of groundwater from 1985 to 2015, the results indicate a shift in the groundwater quality evolution pattern from one dominated by natural factors to one primarily influenced by human activities (The comprehensive score of the evaluation index system has increased from 1.84 to 3.25). Among these, the application of fertilizers emerges as the most important driving factors affecting groundwater quality. Particularly, nitrate and total hardness (TH) have emerged as the most salient indicators of quality degradation, with a significant escalation in their composite scores. At the outset, nitrate registered a score of 0.408, while TH scored 0.326; yet, these values have sharply ascended to 0.716 and 0.467, respectively, by the advanced stage. The study concludes with a discussion on the accuracy, strengths, limitations, and applicability of the evaluation index system. The establishment of this evaluation framework provides a scientific basis for the management and protection of groundwater resources and serves as a reference for identifying groundwater quality evolution patterns in other regions.
近年来,受快速社会经济发展和人类活动加剧的驱动,地下水水质呈现出令人担忧的退化趋势。挑战在于整合自然和人为因素的影响,建立一个科学的地下水质量演变评估框架。本研究采用欧洲环境署提出的驱动力-压力-状态-影响-响应(DPSIR)模型,结合层次分析法(AHP)和信息熵理论(IET)以及水质指数(WQI)评价方法,构建了一个涵盖驱动力、状态和响应系统的地下水质量演变评价指标体系。首先,通过三个系统的筛选,量化了与地下水质量相关的 12 个指标,并建立了每个指标的分类和评分之间的功能关系。然后,通过 AHP 获得了每个系统和指标的权重,通过 IET 确定了指标的客观权重。然后综合计算每个指标的得分。最后,根据定义的地下水质量演变类型,对不同时期地下水质量的演变进行综合评价。以石家庄市为例,分析了 1985 年至 2015 年地下水的水化学数据,结果表明地下水质量演变模式由自然因素主导转变为人类活动主导(评价指标体系的综合得分从 1.84 增加到 3.25)。其中,化肥的应用成为影响地下水质量的最重要驱动因素。特别是硝酸盐和总硬度(TH)已成为水质退化的最突出指标,其综合得分显著上升。最初,硝酸盐的得分为 0.408,TH 得分为 0.326;然而,到了后期,这些值分别急剧上升至 0.716 和 0.467。本文最后讨论了评价指标体系的准确性、优势、局限性和适用性。该评价框架的建立为地下水资源管理和保护提供了科学依据,为识别其他地区地下水质量演变模式提供了参考。