Debris flows analysis through quantitative evaluation of soil depth distribution under limited data

被引:0
作者
Lee, Seungjun [1 ]
An, Hyunuk [2 ]
Kim, Minseok [1 ]
Lee, Daeeop [1 ]
Lee, Jaeuk [1 ]
机构
[1] Korea Inst Geosci & Mineral Resources, Geol Hazards Div, Daejeon 34132, South Korea
[2] Chungnam Natl Univ, Dept Agr & Rural Engn, Daejeon 34134, South Korea
基金
新加坡国家研究基金会;
关键词
Debris flow; Soil depth; Erosion-entrainment; Numerical model; Landslides; LANDSLIDE SUSCEPTIBILITY; SUBSURFACE FLOW; DEM RESOLUTION; MODEL; ENTRAINMENT; THICKNESS; PREDICTIONS; TOPOGRAPHY; BEHAVIOR; RUNOUT;
D O I
10.1016/j.catena.2024.108379
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Soil depth is essential in studying natural disasters such as landslides and debris flow hazards. Despite the importance of soil depth in the mechanism of erosion-entrainment during the debris flow process, research on soil-depth data for analyzing debris flows is limited. Therefore, this study focused on the Gallam-ri area with a watershed of 0.9 km(2) to evaluate the soil depth mapping under limited data and significance of these maps for debris flow simulations. Based on the knocking pole test data, two-dimensional distribution soil depth maps were constructed using the S and Z models, the Kriging method, and a method that applies some values uniformly as the soil depth (U model). The accuracy of soil depth mapping methods was quantitatively evaluated using R-2 and root mean squared error analysis. Since soil depth demonstrated independent patterns with land-surface data, soil depth maps using S and Z models have structural limitations showing R-2 of 0.0003 and 0.002, respectively. The debris flows were analyzed through numerical model Deb2D, and the soil depth most significantly influenced the erosion volume and the damaged area. Analyses using S and U models showed 94 % and 98 % high similarity to the simulation results through the Kriging method, respectively. However, considering overall analyses, the S model was analyzed to be the most stable in constructing soil depth maps and simulating debris flows for ungauged basins.
引用
收藏
页数:14
相关论文
共 65 条
  • [1] Estimate of the debris-flow entrainment using field and topographical data
    Abanco, Claudia
    Huerlimann, Marcel
    [J]. NATURAL HAZARDS, 2014, 71 (01) : 363 - 383
  • [2] Estimation of the area of sediment deposition by debris flow using a physical-based modeling approach
    An, Hyunuk
    Kim, Minseok
    Lee, Giha
    Kim, Yeonsu
    Lim, Hyuntaek
    [J]. QUATERNARY INTERNATIONAL, 2019, 503 : 59 - 69
  • [3] Baum RL., 2008, TRIGRS A FORTRAN PRO, DOI DOI 10.3133/OFR20081159
  • [4] A GIS-based numerical model for simulating the kinematics of mud and debris flows over complex terrain
    Begueria, S.
    Van Asch, Th. W. J.
    Malet, J. -P.
    Groendahl, S.
    [J]. NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2009, 9 (06) : 1897 - 1909
  • [5] Weathering grade of rock masses as a predisposing factor to slope instabilities:: Reconnaissance and control procedures
    Borrelli, L.
    Greco, R.
    Gulla, G.
    [J]. GEOMORPHOLOGY, 2007, 87 (03) : 158 - 175
  • [6] Strength of fine-grained soils at the solid-fluid transition
    Boukpeti, N.
    White, D. J.
    Randolph, M. F.
    Low, H. E.
    [J]. GEOTECHNIQUE, 2012, 62 (03): : 213 - 226
  • [7] Braun J, 2001, GEOLOGY, V29, P683, DOI 10.1130/0091-7613(2001)029<0683:STMOSM>2.0.CO
  • [8] 2
  • [9] An empirical geomorphology-based approach to the spatial prediction of soil thickness at catchment scale
    Catani, Filippo
    Segoni, Samuele
    Falorni, Giacomo
    [J]. WATER RESOURCES RESEARCH, 2010, 46
  • [10] Including root reinforcement variability in a probabilistic 3D stability model
    Cislaghi, Alessio
    Chiaradia, Enrico Antonio
    Bischetti, Gian Battista
    [J]. EARTH SURFACE PROCESSES AND LANDFORMS, 2017, 42 (12) : 1789 - 1806