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Updated: Jun 23, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
Urbanization and climate extremes amplify upstream-downstream water quality disparities across Chinese urban
Lin Gao1, Honghao Liu1, Xiaoyu Lin1
1State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, PR China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, PR China.
Abstract:
Sustaining water quality in urban watersheds is critical for ecosystem health and human water security, yet the spatiotemporal dynamics of upstream-downstream water quality disparities under rapid urbanization and climate change are lacking. Here, we use high-frequency monitoring data (2021-2024) for six key water quality parameters (water temperature-WT, permanganate index-CODMn, total nitrogen-TN, total phosphorus-TP, turbidity-TUR and electrical conductivity-EC) to assess multi-year and seasonal upstream-downstream water quality disparities (Δ) and their responses to heatwaves and extreme precipitation events across 65 urban watersheds in China. We find that over 92% of watersheds exhibit statistically significant upstream-downstream disparities for each parameter, with downstream water quality generally poorer than upstream conditions. These disparities display pronounced seasonal variability, with ΔWT, ΔCODMn, and ΔTP peaking in summer and ΔTN and ΔEC being higher in winter. We further identify urbanization as a primary anthropogenic factor contributing to increasing upstream-downstream disparities and show that larger urban water-body areas and higher intra-urban vegetation cover can partially mitigate downstream water quality degradation. In addition, watershed characteristics, including slope, hydrological connectivity, and shape complexity, govern the magnitude of multi-year and seasonal disparities across urban watersheds. Extreme climatic events further amplify upstream-downstream disparities, with heatwaves increasing ΔTN, ΔTUR, and ΔEC, while extreme precipitation affects all parameters and exerts a greater impact on ΔTUR than heatwaves. Our study underscores the necessity of integrating anthropogenic pressures, watershed characteristics, and climate extremes into urban water quality management strategies, providing a basis for targeted interventions under ongoing urbanization.
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