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2025 Vol.58, Issue 11 Preview Page

Research Article / 우수학생논문상

Validation of a large-scale rainfall-runoff-flood model for the Seomjin River basin

대유역 강우 유출-범람 모형의 섬진강 유역 적용성 검토

Heonsung Kua
,
Hyunuk Anb*
,
Hansol Kangc
구 현승a
,
안 현욱b*
,
강 한솔c
aMaster Student, Department of Agricultural and Rural Engineering, Chungnam National University, Daejeon, Korea
bProfessor, Department of Agricultural and Rural Engineering, Chungnam National University, Daejeon, Korea
cPh.D Student, Department of Agricultural and Rural Engineering, Chungnam National University, Daejeon, Korea
a충남대학교 지역환경토목학과 석사과정
b충남대학교 지역환경토목학과 교수
c충남대학교 지역환경토목학과 박사과정
*Corresponding Author
30 November 2025. pp. 1069-1083
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Abstract

This study validated a large-scale integrated rainfall-runoff-inundation model through its application to the Seomjin River Basin, which experienced a significant flood event in August 2020. The model simultaneously simulates hydrological rainfall-runoff processes using the one-dimensional kinematic wave equation and hydraulic flood inundation using the two-dimensional shallow water equation, while incorporating an Adaptive Mesh Refinement (AMR) scheme to improve computational efficiency at the basin scale. In addition, the Thiessen polygon method was applied to distribute rainfall spatially, and the model was designed to account for reservoir releases, which are essential in large-scale flood inundation analysis. For this purpose, outflow data from four major dams in the basin were collected and used to establish two simulation scenarios depending on whether dam releases were included. The simulation results indicated that, when dam releases were considered, the model reproduced more than 89% of the observed inundation areas across all regions, and discharge validation at major bridge stations showed a coefficient of determination (R2) of up to 0.92, successfully capturing peak discharge timing and flow variations. These findings demonstrate the model’s capability for large-scale flood inundation analysis, and it is expected that further improvements through the incorporation of more detailed flow processes and parameter calibration will enhance its potential use in flood disaster prevention and management.

Keywords
Large-scale flood inundation analysis
1D-2D coupled model
AMR Method

본 연구에선 2020년 8월 대규모 홍수가 발생한 섬진강 유역을 대상으로 대유역 통합형 강우 유출-범람 모형의 적용성 검토를 수행하였다. 모형은 1D Kinematic wave Eq을 사용한 수문학적 강우 유출 현상과 2D shallow water Eq을 사용한 수리학적 흐름 해석 및 침수계산을 동시에 수행하며, 유역 단위 분석에서 계산 효율성 향상을 위하여 적응형 격자 세분화 기법(Adaptive Mesh Refinement; AMR)을 도입하였다. 또한 Thiessen 알고리즘을 적용하여 강우를 공간적으로 분포시키며, 대유역 범람 해석이라는 특수성을 고려해 댐 방류량을 적용한 계산이 가능하도록 설계되었다. 이에 본 연구의 경우 섬진강 유역 4개 주요 댐 방류량을 수집하였으며 자료 반영 여부에 따라 두 가지 시나리오로 구분하여 모의를 수행하였다. 모의 결과 댐 방류량 적용 시 침수 면적은 관측 침수 피해 면적 대비 전 구역에서 89% 이상을 재현하며, 주요 교량 지점에서 수행한 유출량 검증에서 R2가 최대 0.92로 계산되어 첨두 유량 발생 시점과 유량 변동 패턴을 우수하게 재현하는 것으로 확인되었다. 이를 통하여 모형의 대유역 범람 해석 능력이 검증되었으며 추후 실제 유동 현상 알고리즘화 적용 및 매개변수 조절 등을 통한 모형의 고도화로 향후 홍수 재해 예방 및 대응책 마련에 활용될 수 있을 것으로 기대된다.

키워드
대유역 범람 해석
수리-수문 통합형 모형
AMR method
References
1

Abu-Aly, T.R., Pasternack, G.B., Wyrick, J.R., Barker, R., Massa, D., and Johnson, T. (2014). “Effects of LiDAR-derived, spatially distributed vegetation roughness on two-dimensional hydraulics in a gravel-cobble river at flows of 0.2 to 20 times bankfull.” Geomorphology, 206, 468-482.

10.1016/j.geomorph.2013.10.017
2

An, H., Jeong, A., Kim, Y., and Noh, J. (2018). “Development of 2D inundation model based on adaptive cut cell mesh (K-Flood).” Journal of Korea Water Resources Association, Vol. 51, No. 10, pp. 853-862.

10.3741/JKWRA.2018.51.10.853
3

An, H.-U., and Yu, S. (2011). “Numerical simulation of urban flash flood experiments using adaptive mesh refinement and cut cell method.” Journal of Korea Water Resources Association, Vol. 44, No. 7, pp. 511–522. doi: 10.3741/JKWRA.2011.44.7.511.

10.3741/JKWRA.2011.44.7.511
4

Anselmo, V., Galeati, G., Palmieri, S., Rossi, U., and Todini, E. (1996). “Flood risk assessment using an integrated hydrological and hydraulic modelling approach: A case study.” Journal of Hydrology, Vol. 175, No. 1-4, pp. 533-554.

10.1016/S0022-1694(96)80023-0
5

Bates, P.D., and De Roo, A.P.J. (2000). “A simple raster-based model for flood inundation simulation.” Journal of Hydrology, Vol. 236, No. 1-2, pp. 54-77.

10.1016/S0022-1694(00)00278-X
6

Choi, H., Lee, S., Woo, H., Kim, M., and Noh, S.J. (2023). “Applying deep learning based super-resolution technique for high-resolution urban flood analysis.” Journal of Korea Water Resources Association, Vol. 56, No. 10, pp. 641-653.

7

Chow, V.T., Maidment, D.R., and Mays, L.W. (1988). Applied hydrology. International edition. McGraw-Hill Book Company, New York, NY, U.S.

8

Cristina, C.M., and Sansalone, J.J. (2003). “Kinematic wave model of urban pavement rainfall-runoff subject to traffic loadings.” Journal of Environmental Engineering, Vol. 129, No. 7, pp. 629-636.

10.1061/(ASCE)0733-9372(2003)129:7(629)
9

Dasallas, L., An, H., and Lee, S. (2022). “Developing an integrated multiscale rainfall-runoff and inundation model: Application to an extreme rainfall event in Marikina-Pasig River Basin, Philippines.” Journal of Hydrology: Regional Studies, Vol. 39, 100995.

10.1016/j.ejrh.2022.100995
10

Dasallas, L., An, H., and Lee, S. (2024). “Providing solutions for data scarcity in urban flood modeling through sensitivity analysis and DEM modifications.” Journal of Hydroinformatics, Vol. 26, No. 2, pp. 459-479.

10.2166/hydro.2024.173
11

Green, W.H., and Ampt, G.A. (1911). “Studies in soil physics, part 1, the flow of air and water through soils.” The Journal of Agriculture Science, Vol. 4, pp. 11-24. doi: 10.1017/S0021859600001441.

10.1017/S0021859600001441
12

Huang, W., Cao, Z., Pender, G., Liu, Q., and Carling, P. (2015). “Coupled flood and sediment transport modelling with adaptive mesh refinement. Science China Technological Sciences,” Vol. 58, No. 8, pp. 1425-1438.

10.1007/s11431-015-5880-6
13

Kale, R.V., and Sahoo, B. (2011). “Green-Ampt infiltration models for varied field conditions: A revisit.” Water Resources Management, Vol. 25, No. 14, pp. 3505-3536.

10.1007/s11269-011-9868-0
14

Kim, Y.S., No, J.U., Heo, Y.T., and An, H.U. (2019). “Introduction to K-water’s River-linked flood inundation analysis model (K-River & K-Flood).” Water for Future, Vol. 52, No. 2, pp. 43-51.

15

Kudo, S., Yorozuya, A., Koseki, H., Iwami, Y., and Nakatsugawa, M. (2016). “Inundation process in the lower Mekong River basin.” Journal of Disaster Research, Vol. 11, No. 6, pp. 1062-1072.

10.20965/jdr.2016.p1062
16

Lee, D.E., An, H.U., Lee, G.H., and Jung, K.S. (2013). “Applicability evaluation of flood inundation analysis using quadtree grid-based model.” Journal of Korea Water Resources Association, Vol. 46, No. 6, pp. 655-666.

10.3741/JKWRA.2013.46.6.655
17

Lee, G.H. (2022). “Case study on rainfall–runoff–inundation analysis in the Mekong River Basin.” Water for Future, Vol. 55, No. 2, pp. 54-61.

18

Lee, G.H., Ryu, Y.U., and Park, J.S. (2020). “Investigation and cause analysis of flood damage in the Yeongsan and Seomjin River Basins, August 2020.” Water for Future, Vol. 53, No. 11, pp. 21-48.

19

Liang, Q., Du, G., Hall, J.W., and Borthwick, A.G. (2008). “Flood inundation modeling with an adaptive quadtree grid shallow water equation solver.” Journal of Hydraulic Engineering, Vol. 134, No. 11, pp. 1603-1610.

10.1061/(ASCE)0733-9429(2008)134:11(1603)
20

Ma, Y., Feng, S., Su, D., Gao, G., and Huo, Z. (2010). “Modeling water infiltration in a large layered soil column with a modified Green–Ampt model and HYDRUS-1D.” Computers and Electronics in Agriculture, Vol. 71, pp. S40-S47.

10.1016/j.compag.2009.07.006
21

Ministry of the Interior and Safety (MOIS) (2020). Republic of Korea, accessed 29 April 2025, <https://www.safemap.go.kr/main/smap.do?flag=2>.

22

Nastiti, K.D., Kim, Y., Jung, K., and An, H. (2015). “The application of rainfall-runoff-inundation (RRI) model for inundation case in upper Citarum watershed, West Java-Indonesia.” Procedia Engineering, Vol. 125, pp. 166-172.

10.1016/j.proeng.2015.11.024
23

Pappenberger, F., Matgen, P., Beven, K.J., Henry, J.B., and Pfister, L. (2006). “Influence of uncertain boundary conditions and model structure on flood inundation predictions.” Advances in Water Resources, Vol. 29, No. 10, pp. 1430-1449.

10.1016/j.advwatres.2005.11.012
24

Park, J.-H., and Hur, Y.-T. (2008). “Development of kinematic wave-based distributed model for flood discharge analysis.” Journal of Korea Water Resources Association, Vol. 41, No. 5, 455-462.

10.3741/JKWRA.2008.41.5.455
25

Saksena, S., Dey, S., Merwade, V., and Singhofen, P.J. (2020). “A computationally efficient and physically based approach for urban flood modeling using a flexible spatiotemporal structure.” Water Resources Research, Vol. 56, No. 1, e2019WR025769.

10.1029/2019WR025769
26

Sayama, T., Ozawa, G., Kawakami, T., Nabesaka, S., and Fukami, K. (2012). “Rainfall–runoff–inundation analysis of the 2010 Pakistan flood in the Kabul River basin.” Hydrological Sciences Journal, Vol. 57, No. 2, pp. 298-312.

10.1080/02626667.2011.644245
27

Sayama, T., Tatebe, Y., and Tanaka, S. (2017). “Simulation for 2011 Thailand floods.” Journal of Flood Risk Management, Vol. 10, No. 1, pp. 65-78. doi: 10.1111/jfr3.12147.

10.1111/jfr3.12147
28

U.S. Army Corps of Engineers (USACE) (2021). HEC-RAS user’s manual version 6.0, accessed 8 April 2021, <https://www.hec.usace.army.mil/confluence/rasdocs/r2dum/latest>.

29

Vieux, B.E. (2004). Distributed hydrologic modeling using GIS. Springer Netherlands, Dordrecht, Netherlands.

30

Wang, J.P., and Liang, Q. (2011). “Testing a new adaptive grid‐based shallow flow model for different types of flood simulations.” Journal of Flood Risk Management, Vol. 4, No. 2, pp. 96-103.

10.1111/j.1753-318X.2011.01094.x
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 :11
  • Pages :1069-1083
  • Received Date : 2025-07-21
  • Revised Date : 2025-09-18
  • Accepted Date : 2025-10-13
  • DOI :https://doi.org/10.3741/JKWRA.2025.58.11.1069
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