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A water quality management methodology for optimizing best management practices considering changes in long-term
Guowangchen Liu1, Lei Chen1, Wenzhuo Wang1
1State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, PR China.
The Science of the Total Environment
|April 18, 2020
Summary
This study introduces a new method for optimizing long-term best management practices (BMPs) to improve water quality. The long-term BMP optimization method (LBMP-OM) reduces costs and enhances BMP configuration for nonpoint source pollution control.
Area of Science:
- Environmental Science
- Water Resource Management
- Ecological Engineering
Background:
- Nonpoint source (NPS) pollution significantly impacts water quality, necessitating effective long-term management strategies.
- Current best management practices (BMPs) optimization lacks methods to account for changing BMP efficiency over time.
- Developing dynamic BMP configuration strategies is crucial for sustainable water quality management.
Purpose of the Study:
- To develop and validate a novel long-term BMP optimization method (LBMP-OM).
- To recommend optimal maintenance and replacement strategies for BMPs.
- To enhance BMP configuration for effective NPS pollution control.
Main Methods:
- Development of the long-term BMP optimization method (LBMP-OM).
- Incorporation of time-varying BMP effectiveness into the optimization model.
- Application and testing of LBMP-OM in the Daning Watershed, China.
Main Results:
- Recommended a 1-year maintenance and 3-year replacement period for filter strips based on dynamic effectiveness.
- Demonstrated a 57.36% reduction in total watershed management costs compared to conventional methods.
- Validated the LBMP-OM's effectiveness in optimizing long-term BMP management and configuration.
Conclusions:
- The LBMP-OM provides a robust framework for dynamic BMP management, considering changing efficiencies.
- Optimized BMP maintenance and replacement strategies significantly reduce costs while improving water quality.
- This method offers a sustainable approach to long-term nonpoint source pollution control at the watershed scale.
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