ETRI Knowledge Sharing Platform : Simulations of low impact development designs using the storm water management model

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Journal Article Simulations of low impact development designs using the storm water management model

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Authors: Jiyi Jang, Soobin Kim, Sung Min Cha, JongCheol Pyo, Kwang-Sik Yoon, Hankyu Lee, Yongeun Park, In-Su Jang, Kwang-Ju Kim, Jung-Won Yu, Mi-Seon Kang, Hyan-Su Bae, Sang-Soo Baek, Kyung Hwa Cho

Abstract: This study assessed the U.S. Environmental Protection Agency's Storm Water Management Model (SWMM) for urban water management challenges. This study conducted a sensitivity analysis to identify the most influential factors in the SWMM. Moreover, the performance of SWMM was evaluated with the HYDRUS-1D module in simulating infiltration rates. The sensitivity results showed field capacity as the most significant factor, highlighting the need for advanced modeling techniques to consider factors like field capacity. The SWMM was evaluated by the HYDRUS-1D that SWMM consistently underestimated peak infiltration rates and commenced infiltration calculations only when soil moisture exceeded field capacity. It reveals its limitations in handling unsaturated soil conditions and highlights the consideration of the matric head of the soil during the infiltration calculation in soil media. Moreover, the evaluation of bioretention areas showed larger areas resulting in more substantial flow reductions but with significant variability under different rainfall conditions. Accordingly, this result emphasizes the importance of careful consideration for environmental factors in bioretention design. This study contributes by enhancing understanding of SWMM's limitations in simulating urban water management challenges. Thus, this research will offer technical assistance to stakeholders focused on challenges such as runoff, hydrologic cycle, and urban flooding in urban areas.

KSP Keywords: Advanced modeling, Environmental factor(E-factor), Environmental protection agency, Hydrus-1D, Influential factor, Low impact development, Management challenges, Modeling techniques, Sensitivity analysis, Significant factor, Soil conditions

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