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Published on: May 15, 2017
[L-THIA-based management design for controlling urban non-point source pollution].
Qing-Hai Guo1, Liu Yang, Ma Ke-Ming
1State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China. gqhsanmei@yahoo.com.cn
This study simulated non-point source (NPS) pollution in Sanjiao watershed using the L-THIA model. Optimized Best Management Practices (BMPs) significantly reduced pollutant outputs, showing their value for urban planning and pollution control.
Area of Science:
- Environmental Engineering
- Water Resource Management
- Urban Planning
Background:
- Non-point source (NPS) pollution is a significant challenge in urban watersheds.
- Effective control strategies are crucial for maintaining water quality and supporting sustainable urban development.
Purpose of the Study:
- To simulate NPS pollutant loads in the Sanjiao watershed using the L-THIA model.
- To optimize and evaluate the effectiveness of various Best Management Practices (BMPs) for NPS pollution control.
Main Methods:
- Utilized the Long-Term Hydrologic Impact Assessment (L-THIA) model for pollutant simulation.
- Applied the "resource-sink" theory and pattern-process interaction to optimize BMPs.
- Simulated the effects of BMPs (green roof, porous pavement, etc.) along surface runoff pathways.
Main Results:
- Simulated NPS loads were 1.82 x 10^4 kg for Sj1 and 1.38 x 10^5 kg for Sj2.
- Optimized BMPs reduced pollutant outputs to 14.65% in Sj1 and 6.57% in Sj2.
- Sequential application of BMPs proved effective in mitigating NPS pollution.
Conclusions:
- Combining the L-THIA model with a series of optimized BMPs is a viable strategy for NPS pollution control.
- This integrated approach supports effective watershed management and urban development planning.
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