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Overflow risk analysis for designing a nonpoint sources control detention
Chi Hyun Choi1, Seonju Cho, Moo Jong Park
1Urban Creation Research Office, Busan Development Institute, Busan, Korea.
This study introduces a method to evaluate overflow risk in urban detention basins for nonpoint source pollution control. The approach combines inherent and operational risks, using rainfall data and a runoff model for better design parameters.
Area of Science:
- Environmental Engineering
- Water Resource Management
- Urban Hydrology
Background:
- Nonpoint source pollution is a significant challenge in urban areas, often managed using detention basins.
- Assessing overflow risk is crucial for the effective design and operation of these detention systems.
- Existing methods may not fully capture the complexities of rainfall-runoff dynamics and operational factors.
Purpose of the Study:
- To develop and present a comprehensive design method for evaluating overflow risk in urban detention basins.
- To provide a framework for estimating both inherent and operational overflow risks.
- To establish a baseline for quantitative parameter determination in the design of nonpoint source control detentions.
Main Methods:
- Utilized a 3-parameter mixed exponential distribution to model rainfall event depth probability.
- Applied the U.S. Natural Resources Conservation Service runoff curve number method for rainfall-runoff calculations.
- Assessed detention overflow risk based on design capacity and drainage time.
Main Results:
- The study successfully outlines a method to estimate the overall overflow risk of detention basins.
- The proposed method integrates rainfall characteristics and hydrological modeling.
- Overflow risk is quantitatively assessed concerning detention capacity and drainage efficiency.
Conclusions:
- The developed overflow risk assessment method provides a valuable tool for urban stormwater management.
- This approach enables more informed decisions in designing detention basins for nonpoint source control.
- The findings are expected to enhance the reliability and performance of urban water management infrastructure.
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