Debris Flow Simulation for Highway Cross Culverts

2001 ◽  
Vol 1770 (1) ◽  
pp. 220-226 ◽  
Author(s):  
Albert Molinas ◽  
Baosheng Wu ◽  
Roger D. Koester
Keyword(s):  
Author(s):  
Shovan Lal Chattoraj ◽  
Prashant K. Champati ray ◽  
Sudhakar Pardeshi ◽  
Vikram Gupta ◽  
Yateesh Ketholia

Abstract. Debris flows, a type of landslides, are not nowadays limited only to the periodic devastation of the geologically fragile Himalaya but also ubiquitous in weathered Deccan Volcanic Province of the cratonic south Indian peninsula. Comprehensive assessment of landslide hazard, pertinently, requires process-based modeling using simulation methods. Development of precipitation triggered debris flow simulation models of real events are still at a young stage in India, albeit, especially in tectonically less disturbed regions. A highly objective simulation technique has therefore been envisaged herein to model the debris flow run-out happened in Malin. This takes cues from a high- resolution DEM and other ancillary ground data including geotechnical and frictional parameters. The algorithm is based on Voellmy frictional (dry and turbulent frictional coefficients, μ and ξ respectively) parameters of debris flow with pre-defined release area identified on high-resolution satellite images like LISS-IV and Cartosat-1. The model provides critical quantitative information on flow 1) Velocity, 2) Height, 3) Momentum, and 4) Pressure along the entrainment path. The simulated velocity of about 16 m/s at mid-way the slide plummeted to 6.2 m/s at the base with intermittently increased and decreased values. The simulated maximum height was 3.9 m which gradually declined to 1.5 m near the bottom. The results can be beneficial in engineering intervention like the construction of check dams to digest the initial thrust of the flow and other remedial measures designed for vulnerable slope protection.


2018 ◽  
Vol 207 ◽  
pp. 02001
Author(s):  
Yen-Kun Hsu ◽  
Szu-Hsien Peng ◽  
Chiao-Wen Tsai

Tank Model is a kind of simulation of rainfall movement in soil horizon. With the runoff and piping rate, the peak discharge could be effectively calculated. Having 17 rain gauge stations in 13 debris flow events during 1996-2010 as the studied cases, the peak discharge at 12 control points along Chenyulan River is simulated. Furthermore, the data in Neimaopu discharge station is established parameters of Tank Model to estimate the peak discharge in Shenmu Village. By comparing with the parameters of Shueili Station and Japanese Granite, the mean error of the parameter in this study is 51.0%, which is better than those of Japanese Granite 189% and Shueili discharge stations 251%. The parameter in this study appears the highest in allowance analysis, showing that it is more suitable for simulating the peak discharge than the other two. In spite that the percentage of the three parameters is still low, Shenmu Village could be ignored as it locates in the sub-basin of Chenyulan River with few factors. The parameters of Tank Model are applied to transform average rainfall into hydrograph so as to solve the problem of no discharge records when analysing the areas with various debris flow simulation programs.


2006 ◽  
Vol 10 (2) ◽  
pp. 241-264 ◽  
Author(s):  
D. Rickenmann ◽  
D. Laigle ◽  
B. W. McArdell ◽  
J. Hübl

2020 ◽  
Author(s):  
Seungjun Lee ◽  
Hyunuk An ◽  
Minseok Kim

<p>The shallow landslide-generated debris flow on hillside catchment plays a critical role in the change of landscape features caused by natural hazards. Numerous studies has been conducted on the analysis of the transported and deposited sediments by debris flows that were developed at the hillside catchments. Among these researches, the debris flow numerical modeling approach has an advantage of being able to predict and simulate the movement of the flow over irregular topographic terrains. A number of modeling approaches have been studied to explore the process of debris flow development. However, there are still a lot of uncertainties in the erosion-entrainment process, although several erosion models have been proposed to simulate debris flow. The objective of this study is to test and analyze several erosion models for debris flow simulation. Deb2D model, a two-dimensional debris flow simulation software based on quadtree-grid, is used to simulate the debris flow. The study case was 2011 Mt. Umyeon landslide in the Republic of Korea. The total debris flow volume, maximum velocity and inundated depth generated from Deb2D were compared with the field validation data. In particular, the spatial distribution of erosion depth was extracted from the LiDAR-based DEM data gauged before and after the event to compare the performance of the erosion model. The research showed each erosion model accuracy and shortcomings through comparison with field validation data.</p><p>Keywords : debris flow, numerical simulation, entrainment, erosion model, Deb2D</p>


2016 ◽  
Vol 10 (1) ◽  
pp. 848-858
Author(s):  
Jun Wang ◽  
Yan Yu ◽  
Xinfeng Wei ◽  
Qinghua Gong ◽  
Haixian Xiong

Debris flows are a common natural disaster in mountainous areas and often cause severe casualties and property loss. Debris-flow run-out effects analysis can provide an idea of the spatial risks posed to the downstream area of a debris flow, which is extremely important for local populations’ lives, disaster mitigation and planning the layout of economic construction. The objective of this study is to develop a new method to quantify debris flow run-out effects by combining debris flow simulation results and data for different types of land use within the inundated area. After a three-dimensional numerical simulation platform was established, the numerical simulation method was applied as a modeling tool to simulate the inundated areas and final buried depths under rainfalls with different return periods. The simulated result for flow depth under a 100-year return period rainfall event was validated based on field measurements. Finally, the debris-flow run-out effects under different return periods were analyzed by combining the simulation results and land use data. The proposed method can enhance the accuracy of debris-flow spatial risk assessment and has great value for application.


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