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Related Experiment Video

Updated: Jan 14, 2026

Understanding Dissolved Organic Matter Biogeochemistry Through In Situ Nutrient Manipulations in Stream Ecosystems
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Robust data-driven approach evolution for multi-factor driving effect understanding of nutrient loading variations at

Xizhi Nong1, Zhongan Li2, Lihua Chen2

  • 1College of Civil Engineering and Architecture, Guangxi University, Nanning 530004, China; State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China.

Journal of Contaminant Hydrology
|October 18, 2025
PubMed
Summary

This study identifies meteorological and economic factors as key drivers of nitrogen and phosphorus loading in reservoirs. Targeted upstream management is crucial for improving water quality and safety in water source areas.

Keywords:
Driving effectNutrient loadingReservoir-basin scaleSpatiotemporal evolution

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Area of Science:

  • Environmental Science
  • Water Resource Management
  • Ecosystem Dynamics

Background:

  • Reservoir water quality management is vital for human consumption and ecosystem health.
  • Understanding nutrient loading drivers at the basin scale is essential for effective pollution control.
  • The Danjiangkou Reservoir (DJKR) in China, a major water source, faces challenges in maintaining water quality.

Purpose of the Study:

  • To develop and validate a comprehensive framework for identifying nutrient loading drivers in reservoirs.
  • To investigate the synergistic effects of meteorological, economic, and water quality parameters on nitrogen and phosphorus loading.
  • To provide insights for targeted water quality management strategies in large-scale water source areas.

Main Methods:

  • A novel framework integrating self-organizing map algorithm, Mantel's test, and partial least squares structural equation modeling.
  • Monthly data collection from 16 tributaries of the Danjiangkou Reservoir from 2017 to 2022.
  • Analysis of meteorological, economic, and water quality parameters influencing nitrogen and phosphorus loading.

Main Results:

  • The Hanjiang River is the primary source of nitrogen (67.90%) and phosphorus (80.20%) loading in DJKR.
  • Shending and Si Rivers exhibit high nitrogen and phosphorus concentrations, requiring specific attention.
  • Meteorological and economic factors significantly influence nitrogen and phosphorus loading, with meteorological factors having both direct and indirect effects.

Conclusions:

  • Multi-factor coupling is critical for effective mid-scale basin management.
  • Targeted upstream management and stricter controls are necessary to mitigate pollution in DJKR.
  • The proposed framework offers a valuable approach for pollution prevention and water quality management in similar ecosystems.