Response of surface water quality characteristics to socio-economic factors in Eastern-Central China

PLoS One. 2022 Apr 12;17(4):e0262064. doi: 10.1371/journal.pone.0262064. eCollection 2022.

Abstract

Following the implementation of the strictest water resource management system in China, it has become increasingly important to understand and improve the surface water quality and the rate at which water function zones reach the water quality standard. Based on the monthly monitoring data from 450 monitoring sites at the provincial borders of 27 provinces in China in 2019, the overall surface water quality at provincial boundaries in China was evaluated. The Canadian Council of Ministers of the Environment-water quality index (CCME-WQI) showed that the provincial boundary water quality exceeded the fair level, and F1 was the most influential factor. Then, 27 factors that directly or indirectly affect the surface water quality were identified, and the indirect influencing factors were integrated into the ecological environmental quality index and human activities quantitative index. Finally, the 27 factors were integrated into six factors, and the relationship between these indicators and CCME-WQI as well as the concentration of influencing elements with respect to regulatory standard limits were analyzed. The proportion of building land was the most significant factor affecting the quality of the aquatic environment in provincial boundaries. In addition, the economic development level, proportion of farmland, and degree of social development were identified as significant influencing factors. The six factors have different degrees of impact on the concentrations of major elements with respect to standard limits. This study basically explores water resource management and offers significant reference and guidelines for the improvement of the quality of surface water at provincial boundaries in China.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Canada
  • China
  • Environmental Monitoring* / methods
  • Humans
  • Water Quality*
  • Water Resources

Grants and funding

This work was jointly supported by the IWHR Research and Development Support Pro-gram(Grant No. WE0145B052017).