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Updated: Jul 5, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
Water pollution scenarios and response options for China
Haoyuan Feng1, Joep F Schyns2, Maarten S Krol2
1Multidisciplinary Water Management, Faculty of Engineering Technology, University of Twente, 7522 NB Enschede, the Netherlands; Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration, School of Ecological and Environmental Sciences, East China Normal University, 200241 Shanghai, China; College of Geography and Environmental Sciences, Northwest Normal University, 730070 Lanzhou, China.
China
Area of Science:
- Environmental Science
- Water Resource Management
- Policy Analysis
Background:
- China faces significant water pollution challenges despite policy efforts.
- Quantitative analysis of policy impacts on future water pollution is limited.
Purpose of the Study:
- To quantitatively assess the future water pollution load in China (2021-2035).
- To analyze the effectiveness of different policy scenarios on reducing water pollution.
- To identify key measures for mitigating water pollution across consumption, production, and treatment areas.
Main Methods:
- Grey water footprint (GWF) assessment.
- Scenario simulation (current policy and technical improvement).
- Analysis of chemical oxygen demand (COD), ammonia nitrogen (NH3-N), total nitrogen (TN), and total phosphorus (TP).
Main Results:
- Current policies may reduce GWF by 15.0%-39.9% but are not universally effective.
- Dietary changes and improved wastewater treatment/manure utilization are key.
- A technical improvement scenario could decrease GWF by 54.9%-71.1%, achieving reductions in all provinces.
- Policy implementation faces challenges and varying applicability across provinces.
Conclusions:
- Policy effectiveness in reducing China's water pollution varies significantly.
- A comprehensive technical improvement strategy is crucial for widespread GWF reduction.
- Further analysis is needed to inform freshwater resource protection and policy assessment.
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