Water Environment Research, Год журнала: 2024, Номер 96(12)

Опубликована: Дек. 1, 2024

Abstract Groundwater underpins water supply for most of the world's regions, yet its sustainable utilization has been markedly compromised by inappropriate exploitation and a multitude pollution sources. Water quality evaluation emerged as an essential strategy to guarantee optimized vigilant conservation resources. In this study, principal component analysis (PCA), entropy weight method (EWM), coefficient variation (CVM), Quality Index (WQI) were used construct integrated WQI groundwater assessment model that integrates PCA‐CVM‐EWM dimensionality reduction optimization. Taking village in Shandong Province, China, example, PCA identified seven indicators. The CVM‐EWM coupled calculate comprehensive weights through principle minimum information entropy, followed based on values. results indicated Class III predominated study area, accounting 74%, with localized present. hydrochemical type was primarily SO 4 ·HCO 3 ‐Ca, significantly influenced human activities. coefficients Fe, Mn, NH ‐N all exceeded 1. Compared other methods, demonstrated superior performance selection evaluative indicators, distribution, assessment, showing distinct advantage data numerous indicators substantial variation. findings provided scientific reference diagnosing issues formulating preventive control measures. Practitioner Points A index constructed. Optimized steps selecting assigning model. Selection indicator correlation analysis. variability is considered.

Язык: Английский