All Issue

2022 Vol.32, Issue 4 Preview Page

Research Article

Sensitivity Analysis of Debris Flow Simulation in Flo-2D Using Flow Discharge and Topographic Information

유량과 지형조건에 따른 Flo-2D에서의 토석류 확산 민감도 분석

Namgyun Kim1
,
Byonghee Jun2*
김 남균1
,
전 병희2*
1Senior Researcher, Forest Technology Division, National Forestry Cooperative Federation
2Professor, Graduate School of Disaster Prevention, Kangwon National University
1산림조합중앙회 산림종합기술본부 선임연구원
2강원대학교 방재전문대학원 교수
*Corresponding Author
31 December 2022. pp. 547-558
PDF XML Citation
Abstract

2020년 8월 집중호우로 인하여 전라남도 곡성지역에 토석류가 발생하여 5명이 사망하는 재난이 발생하였다. 이 지역을 대상으로 하여 사진 측량을 통해 0.03 m의 고해상도 지형정보를 구축하고 토사의 붕괴량을 측정하였다. 또한 Flo-2D를 이용하여 토석류의 유량과 지형정보의 차이에 따라 유동심, 유속, 확산면적에 대하여 민감도 분석을 수행하였다. 유량이 높아질수록 토석류의 유동심, 유속, 확산면적이 높아지며 고해상도 지형정보와 저해상도 지형정보와의 결과 차이도 높아지는 것으로 나타났다. 그리고, 고해상도의 지형정보를 적용하였을 때 실제의 토석류 흐름방향과 유사하게 계산되어 고해상도 지형정보의 적용이 토석류 해석 결과의 정확성을 높이는 결과를 정량적으로 분석하였다. 추가로 항복응력과 점성과 같은 지질정보에 대해 고려하면 전반적으로 실제 토석류의 확산 정보보다 작게 계산된 결과를 보완할 수 있을 것으로 판단된다.

키워드
토석류
유량
고해상도 지형정보
수치고도모델
수치시뮬레이션

In August 2020, a debris flow occurred in Gokseon, Jeollanam-do, that resulted in the death of five residents. In this study area, high-resolution 0.03 m topographic information was generated through photogrammetry, and the amount of soil movement/loss was measured. In addition, sensitivity analysis was performed for flow depth, flow velocity, and debris flow area with the program Flo-2D using the difference in simulation parameter that discharge and topographic information. Wth increasing debris flow input discharge, increases were seen in flow depth, flow velocity, and debris flow area, as ell as in the gap in results from high-resolution topographic information and low-resolution topographic information. Also, when high-resolution topographic information was used, the results were similar to the actual (measured) flow direction of the debris flow. Therefore, the application of high-resolution topographic information increases the accuracy of the debris flow analysis results compared with low-resolution information. Results could be further imporved in the future by considering geological information such as yield stress and viscosity.

Keywords
debris flow
flow discharge
high-resolution DSM
DEM
numerical simulation
References
1
Chae, B.G., Kim, W.Y., Cho, Y.C., Kim, K.S., Lee, C.O., Choi, Y.S., 2004, Development of a logistic regression model for probabilistic prediction of debris flow, The Journal of Engineering Geology, 14(2), 211-222 (in Korean with English abstract).
2
Choi, J.H., Choi, B.J., Kim, N.G., Lee, C.W., Seo, J.P., Jun, B.H., 2021, Estimation of potential risk and numerical simulations of landslide disaster based on UAV photogrammetry, Journal of Civil and Environmental Engineering Research, 41(6), 675-686 (in Korean with English abstract).
3
Di, B., Zhang, H., Liu, Y., Li, J., Chen, N., Stamatopoulos, C.A., Luo, Y., Zhan, Y., 2019, Assessing susceptibility of debris flow in southwest china using gradient boosting machine, Nature, 9, 1-12, Article number: 122532. 10.1038/s41598-019-48986-531467342PMC6715629
4
Flo-2D, 2009, Reference manual, Retrieved from https://flo-2d.com/product/modeling-theory/ .
5
Jitousono, T., Shimokawa, E., Tsuchiya, S., 1996, Debris flow following the 1994 eruption with pyroclastic flows in Merapi volcano, Indonesia, Journal of the Japan Society of Erosion Control Engineering, 48, 109-116.
6
Jun, B.H., Jang, C.D., Kim, N.G., 2010, Analysis of erosion and deposition by debris-flow with LiDAR, Journal of the Korean Association of Geographic Information Studies, 13(2), 54-63 (in Korean with English abstract).
7
Kim, K.N., Jang, S.J., Lee, K.Y., Seo, G.B., Kim, B.S., Chun, K.W., 2015, Prediction of the debris flow-prone area in the hilly district within urban, Journal of the Korean Society of Hazard Mitigation, 15(3), 141-146 (in Korean with English abstract). 10.9798/KOSHAM.2015.15.3.141
8
Kim, M.I., Kim, N.G., 2021, Analysis of debris flow reduction effect of check dam types considering the mountain stream shape: A case study of 2016 debris flow hazard in Ulleung-do Island, South Korea, Advances in Civil Engineering, 2021, 1-12, Article ID: 8899368. 10.1155/2021/8899368
9
Kim, P.G., Han, K.Y., 2017, Numerical modeling for the detection of debris flow using detailed soil map and GIS, Journal of the Korean Society of Civil Engineers, 37(1), 43-59 (in Korean with English abstract). 10.12652/Ksce.2017.37.1.0043
10
Kim, S.E., Paik, J.C., Kim, K.S., 2013, Run-out modeling of debris flows in Mt. Umyeon using FLO-2D, Journal of the Korean Society of Civil Engineers, 33(3), 965-974 (in Korean with English abstract). 10.12652/Ksce.2013.33.3.965
11
Lee, H.N., Kim, G.H., 2019, Flow-R simulation of debris flow on Mt. Woomyeon, Journal of Korean Society for Geospatial Information Science, 27(6), 61-71 (in Korean with English abstract). 10.7319/kogsis.2019.27.6.061
12
Li, Y., Chen, W., Rezaie, F., Rahmati, O., Moghaddam, D.D., Tiefenbacher, J., Panahi, M., Lee, M.J., Kulakowski, D., Bui, D.T., Lee, S., 2022, Debris flows modeling using geo-environmental factors: developing hybridized deep-learning algorithms, Geocarto International, 37(17), 5150-5173. 10.1080/10106049.2021.1912194
13
Malgorzata, C., Fabian, W., Michaela, W., Zhen, Z., Brian, W.M., Clement, H., 2020, Machine learning improves debris flow warning, Geophysical Research Letters, 48(3), 1-11. 10.1029/2020GL090874
14
Okuda, S., Suwa, H., 1981, Some relationships between debris flow motion and micro-topography for the Kamikamihori Fan, North Japan Alps, In: Burt, T.P., Walling, D.E. (Eds.), Catchment Experiments in Fluvial Geomorphology, GeoBooks, Norwick, UK, 447-464.
15
Ou, G., Kobashi, S., Mizuyama, T., 1991, Prediction of debris flow peak discharge, Journal of the Japan Society of Erosion Control Engineering, 44(4), 24-29 (in Japanese with English abstract).
16
Rickenmann, D., 1999, Empirical relationships for debris flows, Natural Hazards, 19, 47-77. 10.1023/A:1008064220727
17
Rickenmann, D., Zimmermann, M., 1993, The 1987 debris flows in Switzerland: documentation and analysis, Geomorphology, 8, 175-189. 10.1016/0169-555X(93)90036-2
18
Song, C.H., Lee, J.S., Kim, Y.T., 2021, Predicting the initiation area of a debris flow using geomorphological characteristics and a physically-based model, Journal of the Korean Society of Hazard Mitigation, 21(2), 137-147 (in Korean with English abstract). 10.9798/KOSHAM.2021.21.2.137
19
Tak, W.J., Jeon, K.W., Jeon, B.H., Lee, H.J., 2015, Comparsion between RAMMS and FLO-2D through danaged by debris flow analysis, Proceedings of the Korea Water Resources Association Conference, Goseong, 112.
Information
  • Publisher :Korean Society of Engineering Geology
  • Publisher(Ko) :대한지질공학회
  • Journal Title :The Journal of Engineering Geology
  • Journal Title(Ko) :지질공학
  • Volume : 32
  • No :4
  • Pages :547-558
  • Received Date :2022. 11. 08
  • Revised Date :2022. 11. 28
  • Accepted Date : 2022. 11. 28
  • DOI :https://doi.org/10.9720/kseg.2022.4.547
Journal Informaiton The Journal of Engineering Geology The Journal of Engineering Geology
Online Submission
  • NRF
  • KOFST
  • KISTI Current Status
  • KISTI Cited-by
  • crosscheck
  • orcid
  • open access
  • ccl
Journal Informaiton Journal Informaiton - close