What question did this study set out to answer?

This research aims to explore how hydrological variables affect water quality using predictive models.

May 6, 20260 citations

Deciphering the influence of hydrological variables on water quality via data-driven predictive models.

JZJie ZhangBeijing Normal University WXWanlai XueBeijing Water Science and Technology Institute HGHaoran GuoBeijing Water Science and Technology Institute

Key Points

This research aims to explore how hydrological variables affect water quality using predictive models.
Data analysis of hydrological variables across different rivers
Utilization of data-driven predictive models to assess water quality
Comparative analysis between Chao River and Bai River under various hydrological scenarios.
N and TP levels exceeded Class II water quality standards
Chao River showed greater sensitivity to hydrological fluctuations than Bai River
Recommendations for soil and water conservation in upstream basins to improve water quality.

Abstract

-N and TP also exceeded the Class II. In contrast, the Chao River had a significantly higher risk of water quality deterioration under extreme hydrological scenarios than the Bai River, and was more sensitive to hydrological fluctuations. Based on the above results, soil and water conservation work should carried out in the upstream basin of the Chao River and Bai River to improve their water quality. This study provided a comprehensive reference for subsequent manual regulation.

Ask AI

Helpful

Bookmark

View Full Paper