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2025 Vol.58, Issue 6 Preview Page

Research Article

Optimal implementation of LID facilities in the mid-upper Youngsan River basin for runoff reduction performance and economic efficiency

유출 저감 성능 및 경제적 효율성을 고려한 영산강 중상류 유역의 최적 LID 시설 적용 방안

Minjeong Kima
,
Inhwan Parkb*
,
Seung Taek Chaec
김 민정a
,
박 인환b*
,
채 승택c
aGraduate Student, Department of Civil Engineering, Seoul National University of Science and Technology, Seoul, Korea
bAssistant Professor, Department of Civil Engineering, Seoul National University of Science and Technology, Seoul, Korea
cGraduate Student, Department of Civil Engineering, Seoul National University of Science and Technology, Seoul, Korea
a서울과학기술대학교 건설시스템공학과 석사과정
b서울과학기술대학교 건설시스템공학과 조교수
c서울과학기술대학교 건설시스템공학과 박사과정
*Corresponding Author
30 June 2025. pp. 483-495
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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.

Keywords
Low Impact Development (LID)
SWMM
Design parameter optimization
Runoff reduction
Construction and maintenance cost

본 연구에서는 영산강 중상류 유역을 대상으로 유출 저감 성능과 경제성을 고려한 최적 Low Impact Development (LID) 적용 방안을 결정하였다. 강우-유출 및 LID 적용 전략을 모의하기 위해 Storm Water Management Model (SWMM)을 사용하였으며, 불투수면적 비율 50% 이상 지역에 대해 Permeable Pavement (PP), Infiltration Trench (IT), Bio-Retention Cell (BRC), Rain Garden(RG)의 최적 설계 인자 결정 및 유출 저감 성능을 비교했다. 최적 설계 인자는 영역 전체의 유출량을 최소화하는 단일 설계 인자를 결정하는 방법(Case 1)과 개별 소유역의 유출량을 최소화하는 개별 설계 인자를 결정하는 방법(Case 2)을 각각 적용하여 결정했다. Case 1과 Case 2에서 결정된 최적 설계 인자를 적용하여 유출 저감 성능을 비교한 결과, Case 1보다 Case 2의 설계 인자를 적용했을 때 유출 저감 능력이 향상되었다. Case 1의 설계 인자를 적용했을 때 모든 소유역에서 IT가 최적 시설로 결정됐고 Case 2에서는 유역의 유출 특성에 따라 서로 다른 최적 LID 시설 유형이 결정됐고 이중 BRC가 가장 많은 소유역에서 최적 시설로 결정됐다. LID의 설치 및 유지관리 비용의 경제성을 함께 고려한 경우에는 Case 1과 Case 2 모두 RG의 비용 대비 홍수 저감 효율이 다른 시설에 비해 효과적인 것으로 나타났다. 이에 따라 유출 저감 성능과 경제성을 모두 고려한 LID 시설 최적 배치안을 적용한 경우 Case 1에서는 6.36%, Case 2에서 7.16%의 총유출량 저감 효과를 나타냈다.

키워드
LID
SWMM
설계 인자 최적화
유출 저감 성능
설치 및 유지관리 비용
References
1

Ansari, M.S., Sharma, S., Armstrong, F.P., Delisio, M., and Ehsani, S. (2024). "Exploring PCSWMM for large mixed land use watershed by establishing monitoring sites to evaluate stream water quality." Hydrology, Vol. 11, No. 7, 104.

10.3390/hydrology11070104
2

Bai, Y., Zhao, N., Zhang, R., and Zeng, X. (2018). "Storm water management of low impact development in urban areas based on SWMM." Water, Vol. 11, No. 1, 33.

10.3390/w11010033
3

Cho, J., and Lee, J. (2006). "Parameter Optimization for runoff calibration of SWMM." Journal of Environmental Impact Assessment, Vol. 15, No. 6, pp. 435-441.

4

Choi, J., Kim, K., Sim, I., Lee, O., and Kim, S. (2020). "Cost- effectiveness analysis of low-impact development facilities to improve hydrologic cycle and water quality in urban watershed." Journal of Korean Society on Water Environment, Vol. 36, No. 3, pp. 206-219.

5

Hyung, J., Park, S., and Ryu, S. (2012). "A study on the low impact development in urban flood prevention sector." Proceedings of the Korea Water Resources Association Conference, pp. 824-828.

6

Jung, Y., Han, S., and Jo, D. (2017). "Optimal design of LID facilities using multi objective harmony search." Journal of the Korean Society of Hazard Mitigation, Vol. 17, No. 6, pp. 559-565.

10.9798/KOSHAM.2017.17.6.559
7

Kim, B., Lim, S.H., Lee, S., Baek, J., and Kim, J. (2020). "A study on the water cycle improvement plan of low impact development." Journal of Korean Society on Water Environment, Vol. 36, No. 2, pp. 109-115.

8

Kim, E.S. (2020). "Analysis of runoff according to application of SWMM-LID element technology (I): Parameter sensitivity analysis." Journal of the Korean Society of Hazard Mitigation, Vol. 20, No. 6, pp. 437-444.

10.9798/KOSHAM.2020.20.6.437
9

Kim, J., and Jung, K.S. (2024). "A study on the analysis of reduction effects and comparison of economic feasibility by applying the LID technique." Journal of the Korean Society of Hazard Mitigation, Vol. 24, No. 5, pp. 39-47.

10.9798/KOSHAM.2024.24.5.39
10

Kim, J., Choi, S., and Joo, J. (2017). "EPA SWMM-LID modeling for low impact development." Journal of the Korean Society of Hazard Mitigation, Vol. 17, No. 2, pp. 415-424.

10.9798/KOSHAM.2017.17.2.415
11

Ko, H., Choi, H., Lee, Y., and Lee, C. (2016). "Analysis on the water circulation and water quality improvement effect of low impact development techniques by test-bed monitoring." Journal of Korean Geo-Environmental Society, Vol. 17, No. 5, pp. 27-36.

10.14481/jkges.2016.17.5.27
12

Lee, J.M., Park, M., Min, J., Kim, J., Lee, J., Jang, H., and Na, E.H. (2022). "Evaluation of SWMM-LID modeling applicability considering regional characteristics for optimal management of non-point pollutant sources." Sustainability, Vol. 14, No. 21, 14662.

10.3390/su142114662
13

Liou, S.M., Lo, S.L., and Wang, S.H. (2004). "A generalized water quality index for Taiwan." Environmental Monitoring and Assessment, Vol. 96, pp. 35-52.

10.1023/B:EMAS.0000031715.83752.a115327148
14

Mariani, F., and Ciommi, M. (2022). "Aggregating composite indicators through the geometric mean: A penalization approach." Computation, Vol. 10, No. 4, pp. 1-17.

10.3390/computation10040064
15

Ministry of Land, Infrastructure, and Transport (MOLIT) (2008). The comprehensive watershed management plan for the Yeongsan River basin.

16

Mohammad, G.Z., Khashayar, S., Banafsheh, N., Zahra, Z., Mohammad, M.P., and Mohammad, R.N. (2023). "Developing sustainable strategies by LID optimization in response to annual climate change impacts." Journal of Cleaner Production, Vol. 416, 137931.

10.1016/j.jclepro.2023.137931
17

Mullen, K.M., Ardia, D., Gil, D.L., Windover, D., and Cline, J. (2011). "DEoptim: an R package for global optimization by differential evolution." Journal of Statistical Software, Vol. 40, No. 6, pp. 1-26.

10.18637/jss.v040.i06
18

Park, J.P., Lee, S.H., and Nahm, Y.E. (2024). "A simulation-based comparative study of normalization methods for multi-criteria decision-making." Journal of Korean Society of Industrial and Systems Engineering, Vol. 47, No. 4, pp. 186-195.

10.11627/jksie.2024.47.4.186
19

United States Environmental Protection Agency (USEPA) (2016). Storm water management model reference manual, 3 (Water quality). Washington, D.C., U.S., pp. 1-159.

20

Yeon, J., Kim, S., Choi, H., Shin, H., and Kim, E. (2015). "Rainfall runoff reduction analysis for the construction and maintenance costs of LID Facilities." Journal of the Korean Society and Hazard Mitigation, Vol. 15, No. 4, pp. 281-287.

10.9798/KOSHAM.2015.15.4.281
21

Yu, J., Noh, J., and Cho, Y. (2020). "SWAT model calibration/validation using SWAT-CUP I: Analysis for uncertainties of objective functions." Journal of Korea Water Resources Association, Vol. 53, No. 1, pp. 45-56.

10.3741/JKWRA.2020.53.1.45
22

Zeng, J., Huang, G., Mai, Y., and Chen, W. (2020). "Optimizing the cost-effectiveness of low impact development (LID) practices using an analytical probabilistic approach." Urban Water Journal, Vol. 17, No. 2, pp. 136-143.

10.1080/1573062X.2020.1748208
23

Zhang, L., Lu, Q., Ding, Y., and Wu, J. (2021). "A procedure to design road bioretention soil media based on runoff reduction and pollutant removal performance." Journal of Cleaner Production, Vol. 287, 125524.

10.1016/j.jclepro.2020.125524
24

Zhang, Z., Hu, W., Wang, W., Zhou, J., Liu, D., Qi, X., and Zhao, X. (2022). "The hydrological effect and uncertainty assessment by runoff indicators based on SWMM for various LID facilities." Journal of Hydrology, Vol. 613, 128418.

10.1016/j.jhydrol.2022.128418
Information
  • Publisher :KOREA WATER RESOURECES ASSOCIATION
  • Publisher(Ko) :한국수자원학회
  • Journal Title :Journal of Korea Water Resources Association
  • Journal Title(Ko) :한국수자원학회 논문집
  • Volume : 58
  • No :6
  • Pages :483-495
  • Received Date : 2025-02-18
  • Revised Date : 2025-04-11
  • Accepted Date : 2025-04-22
  • DOI :https://doi.org/10.3741/JKWRA.2025.58.6.483
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