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Updated: Jul 18, 2026

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Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
Hydrologic regionalisation impacts on wet-weather control selection.
Summary
This study used the US Environmental Protection Agency (USEPA) Storm Water Management Model (SWMM) to assess regional performance of wet-weather controls. Rainfall patterns significantly influence the hydrologic and water quality effectiveness of these controls across the United States.
Area of Science:
- Environmental Engineering
- Hydrology
- Water Quality Management
Background:
- Wet-weather controls are crucial for managing stormwater runoff and improving water quality.
- Regional variations in rainfall patterns can significantly impact the performance of these controls.
- Understanding these regional differences is essential for effective stormwater management strategies.
Purpose of the Study:
- To evaluate regional differences in the United States regarding the hydrologic and water quality performance of wet-weather controls.
- To compare the effectiveness of flow-limited and storage-limited wet-weather control devices.
- To identify how rainfall patterns influence control performance across different U.S. regions.
Main Methods:
- Continuous simulation using the US Environmental Protection Agency (USEPA) Storm Water Management Model (SWMM).
- Characterization of controls as either flow-limited (e.g., screens, filters) or storage-limited (e.g., ponds, tanks).
- Analysis of performance metrics including percentage of annual runoff volume captured and percentage of total suspended solids captured.
Main Results:
- Regional differences in wet-weather control performance were observed across the United States.
- Performance varied based on control type (flow-limited vs. storage-limited) and design parameters (inflow capacity, storage volume, drawdown time).
- Rainfall patterns were identified as the primary driver of these regional performance variations.
Conclusions:
- The effectiveness of wet-weather controls is significantly influenced by regional rainfall characteristics.
- Tailoring control selection and design to local rainfall patterns is critical for optimizing stormwater management.
- SWMM simulations provide valuable insights into regional performance disparities for informed decision-making.
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