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Updated: Mar 10, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
Water-quality responses and management-oriented spatial thresholds in a complex river-estuary continuum.
Jiang Wu1, Tang Liu2, Dian-Bao Li3
1Eco-environment and Resource Efficiency Research Laboratory, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China.
Network configuration significantly impacts Pearl River Delta water quality, with an 800m buffer optimizing management by separating river and estuary zones. This study reveals key drivers and spatial variations for targeted water quality control.
Area of Science:
- Environmental Science
- Water Resource Management
- Ecology
Background:
- The Pearl River Delta (PRD) is a complex, urbanized river-estuary system with intricate networks, posing challenges for water quality management.
- Intensive human regulation and natural factors like tides and salinity stratification complicate understanding the relationship between network structure and water quality.
- Current uniform management approaches are insufficient due to limited knowledge of spatiotemporal water quality variations and their drivers.
Purpose of the Study:
- To analyze spatiotemporal water quality variations in the PRD from 2019-2023.
- To identify the influence of network configuration and environmental drivers on water quality.
- To establish optimal spatial scales for effective, targeted water quality management.
Main Methods:
- Collected daily water quality data from 45 stations (2019-2023).
- Calculated network metrics including Dendritic Connectivity Index (DCI) and development coefficient (Kω).
- Employed LightGBM and Mantel analysis to attribute water quality variations to network structure, hydrochemistry, hydrology, and socioeconomic drivers.
Main Results:
- Network geometry showed distinct spatial differentiation, with DCI exhibiting a north-south gradient.
- An optimal explanatory distance of 400-800m was identified for water quality drivers.
- Hydrochemistry, hydrology, and socioeconomic factors were primary drivers, with network metrics like DCI and water-surface ratio (Wp) significantly influencing electrical conductivity and turbidity.
- An 800m buffer effectively separated riverine and estuarine zones for management purposes.
Conclusions:
- Network configuration plays a crucial role in governing water quality through flow connectivity and material transport.
- Human activity and hydrodynamic connectivity are the dominant drivers of water quality variation, especially at intermediate spatial scales (≥ 600m).
- An 800m buffer zone approach is recommended for zoned water quality management in the PRD's urban agglomeration.
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