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논문 기본 정보

자료유형
학술저널
저자정보
Jiyi Jang (Korea Polar Research Institute (KOPRI)) Soobin Kim (Korea Atomic Energy Research Institute (KAERI)) Sung Min Cha (Jeollanam-do Environmental Industries Promotion Institute (JEIPI)) JongCheol Pyo (Pusan National University) Kwang-Sik Yoon (Chonnam National University) Hankyu Lee (Konkuk University) Yongeun Park (Konkuk University) In-Su Jang (Electronics and Telecommunications Research Institute (ETRI)) Kwang-Ju Kim (Electronics and Telecommunications Research Institute (ETRI)) Jung-Won Yu (Electronics and Telecommunications Research Institute (ETRI)) Mi-Seon Kang (Electronics and Telecommunications Research Institute (ETRI)) Hyan-Su Bae (Electronics and Telecommunications Research Institute (ETRI)) Sang-Soo Baek (Yeungnam University) Kyung Hwa Cho (Korea University)
저널정보
대한환경공학회 Environmental Engineering Research Environmental Engineering Research 제29권 제6호
발행연도
2024.12
수록면
20 - 36 (17page)

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초록· 키워드

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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.
#Low-impact development #Sensitivity analysis #Storm water management model #Urban modeling

목차

ABSTRACT
1. Introduction
2. Methodology
3. Results and Discussion
4. Conclusions
References

참고문헌 (61)

참고문헌 신청
Eshtawi T, Evers M, Tischbein B, Diekkrüger B. Integrated hydrologic modeling as a key for sustainable urban water resources planning. Water Res. 2016;101:411-428. https://doi.org/10.1016/j.watres.2016.05.061 google schola Weng Q. Modeling Urban Growth Effects on Surface Runoff with the Integration of Remote Sensing and GIS. Environ. Manage. 2001;28(6):737-748. https://doi.org/10.1007/s002670010258 google schola Chen Y, Zhou H, Zhang H, Du G, Zhou J. Urban flood risk warning under rapid urbanization. Environ. Res. 2015;139:3-10. https://doi.org/10.1016/j.envres.2015.02.028 google schola Hassan WH, Nile BK, Al-Masody BA. Climate change effect on storm drainage networks by storm water management model. Environ. Eng. Res. 2017;22(4):393-400. https://doi.org/10.4491/eer.2017.036 google schola Kim HG, Cho KH, Recknagel F. Time-series modelling of harmful cyanobacteria blooms by convolutional neural networks and wavelet generated time-frequency images of environmental driving variables. Water Res. 2023;246:120662. https://doi.org/10.1016/j.watres.2023.120662 google schola

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