Abstract
This study aims to determine the optimal Low Impact Development (LID) implementation strategies considering runoff reduction performance and economic efficiency in the mid-upper region of the Youngsan River basin. The Storm Water Management Model (SWMM) was used to simulate rainfall-runoff processes and LID implementation strategies. The study focused on areas with an impervious surface ratio exceeding 50%, comparing the optimal design parameters and runoff reduction performance of Permeable Pavement (PP), Infiltration Trench (IT), Bio-Retention Cell (BRC), and Rain Garden (RG). To optimize the design parameters of these LID facilities two approaches were applied: (Case 1) determining a single design parameter minimizing total runoff across the entire study area and (Case 2) determining individual design parameters that minimize runoff for each sub-watershed. The comparison of runoff reduction performance between the two cases showed that Case 2 showed superior runoff reduction performance compared to Case 1. In Case 1, IT was identified as the optimal facility in all sub-watersheds, whereas Case 2 resulted in different optimal LID facility types depending on the runoff characteristics of each sub-watershed. In Case 2, BRC was determined as the most frequently selected facility. When considering the economic efficiency of construction and maintenance costs, RG demonstrated the highest cost-effectiveness in runoff mitigation for both cases. Consequently, applying the optimal LID facility allocation strategy that accounts for both runoff reduction performance and economic efficiency resulted in a total runoff reduction of 6.36% in Case 1 and 7.16% in Case 2.
| Original language | English |
|---|---|
| Pages (from-to) | 483-495 |
| Number of pages | 13 |
| Journal | Journal of Korea Water Resources Association |
| Volume | 58 |
| Issue number | 6 |
| DOIs | |
| State | Published - Jun 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 6 Clean Water and Sanitation
Keywords
- Construction and maintenance cost
- Design parameter optimization
- Low Impact Development (LID)
- Runoff reduction
- SWMM
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