A progressive entrainment runout model for debris flow analysis and Check for its application

被引:13
|
作者
Kang, Chao [1 ]
Chan, Dave [1 ,2 ]
机构
[1] Univ Alberta, Dept Civil & Environm Engn, Edmonton, AB T6G 2R3, Canada
[2] Three Gorges Univ, China Coll Civil Engn & Architecture, Yichang 443003, Hubei, Peoples R China
基金
加拿大自然科学与工程研究理事会;
关键词
Debris flow; Entrainment; Tsingshan debris flow; Runout modeling; Landslides; granular flow; ELEMENT METHOD; BED; LANDSLIDES; PRESSURE; BEHAVIOR; SLIDES; AREA;
D O I
10.1016/j.geomorph.2018.09.003
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
A progressive entrainment model has been incorporated into an energy-based runout model to calculate the kinematic characteristics of debris flow. The progressive entrainment model considers both rolling and sliding motions of erodible material. To study the effect of the controlling parameters in the entrainment model, sensitivity analyses have been carried out by varying model parameters such as the internal friction angle of the debris, the basal friction angle of the channel, the turbulent flow coefficient, and the mean value of the probabilistic density function (PDF) for the resting angle. The results are evaluated by calculating the change of the maximum entrainment rate, the maximum frontal velocity, the final total volume, the longitudinal length of deposition, the maximum debris flow height, and the runout distance of the debris. The progressive entrainment runout model is sensitive to the characteristic particle size, basal friction angle and turbulent coefficient. Measurements from the 1990 Tsingshan debris flow, Hong Kong, China, are used to validate the model. Velocities at different channel sections estimated using the super-elevation method and entrainment depth are used to evaluate the simulation results. Comparing the results between simulated and observed maximum velocity and entrainment depth indicate that the progressive entrainment model together with the runout model can capture the erosion characteristics of the granular material. The results are also compared with that using a dynamic entrainment model. The results demonstrate that the progressive entrainment model provides a more realistic calculation of entrainment for this case compared with the dynamic entrainment model. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:25 / 40
页数:16
相关论文
共 50 条
  • [1] Elementary analysis on the bed-sediment entrainment by debris flow and its application using the TopFlowDF model
    Han, Zheng
    Chen, Guangqi
    Li, Yange
    Zhang, Hong
    He, Yi
    GEOMATICS NATURAL HAZARDS & RISK, 2016, 7 (02) : 764 - 785
  • [2] A MODEL FOR THE RUNOUT ANALYSIS OF RAPID FLOW SLIDES, DEBRIS FLOWS, AND AVALANCHES
    HUNGR, O
    CANADIAN GEOTECHNICAL JOURNAL, 1995, 32 (04) : 610 - 623
  • [3] The importance of entrainment and bulking on debris flow runout modeling: examples from the Swiss Alps
    Frank, F.
    McArdell, B. W.
    Huggel, C.
    Vieli, A.
    NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2015, 15 (11) : 2569 - 2583
  • [4] A MASS CHANGE MODEL FOR THE ESTIMATION OF DEBRIS FLOW RUNOUT - A DISCUSSION
    HUNGR, O
    CANNON, SH
    SAVAGE, WZ
    JOURNAL OF GEOLOGY, 1990, 98 (05): : 791 - 792
  • [5] Analysis of the characteristics of progressive erosion and the formation mechanism of debris flow inrush: Numerical simulation and its application
    Zhang, BoWen
    Zhang, GuoHua
    Dan, LuZhao
    Li, ShengLian
    Li, WeiJian
    Jiao, YuYong
    Hua, DongJie
    Tunnelling and Underground Space Technology, 2025, 155
  • [6] Variable hydrograph inputs for a numerical debris-flow runout model
    Mitchell, Andrew
    Zubrycky, Sophia
    McDougall, Scott
    Aaron, Jordan
    Jacquemart, Mylene
    Huebl, Johannes
    Kaitna, Roland
    Graf, Christoph
    NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2022, 22 (05) : 1627 - 1654
  • [7] Runout prediction of Aizi gully debris flow based on model calculation
    Na, He
    Chen, N. Sh.
    Mei, Zeng
    Rong, Chen
    Electronic Journal of Geotechnical Engineering, 2014, 19 (Z4): : 17039 - 17051
  • [8] A MASS-CHANGE MODEL FOR THE ESTIMATION OF DEBRIS-FLOW RUNOUT
    CANNON, SH
    SAVAGE, WZ
    JOURNAL OF GEOLOGY, 1988, 96 (02): : 221 - 227
  • [9] Analysis on the Influence of Debris Flow Entrainment of Path Material
    Fan, Yunyun
    Liang, Li
    Wang, Enzhi
    Wang, Sijing
    ADVANCES IN BUILDING MATERIALS, PTS 1-3, 2011, 261-263 : 1124 - +
  • [10] GIS-based cell model for simulating debris flow runout on a fan
    Gregoretti, Carlo
    Degetto, Massimo
    Boreggio, Mauro
    JOURNAL OF HYDROLOGY, 2016, 534 : 326 - 340