scholarly journals Debris Flow Simulation by Applying the Hyper KANAKO System for Water and Sediment Runoff from Overtopping Erosion of a Landslide Dam

2016 ◽  
Vol 9 (2) ◽  
pp. 43-57
Author(s):  
Go YANAGISAKI ◽  
Masashi AONO ◽  
Hironori TAKENAKA ◽  
Masayuki TAMAMURA ◽  
Kana NAKATANI ◽  
...  
Keyword(s):  
Debris Flow ◽  
Flow Simulation ◽  
Landslide Dam ◽  
Sediment Runoff ◽  
Water And Sediment Runoff ◽  
Water And Sediment ◽  
Overtopping Erosion

Natural and Human-Induced Variations in Water and Sediment Runoff in the Danube River Mouth

2004 ◽  
Vol 31 (3) ◽  
pp. 235-246 ◽  
Author(s):  
E. A. Levashova ◽  
V. N. Mikhailov ◽  
M. V. Mikhailova ◽  
V. N. Morozov
Keyword(s):  
River Mouth ◽  
Danube River ◽  
Sediment Runoff ◽  
Water And Sediment Runoff ◽  
The Danube River ◽  
Water And Sediment

Observation evaluating water and sediment runoff at Sabo dam in Kiso river basin

2016 ◽  
pp. 324-328
Author(s):  
S. Matsuda ◽  
T. Nagayama ◽  
T. Ikeshima ◽  
K. Goto ◽  
Y. Nishi ◽  
...  
Keyword(s):  
River Basin ◽  
Sediment Runoff ◽  
Water And Sediment Runoff ◽  
Water And Sediment

scholarly journals Water and sediment runoff and soil moisture response to grass cover in sloping citrus land, Southern China

2019 ◽  
Vol 14 (No. 1) ◽  
pp. 10-21 ◽  
Author(s):  
Minghao Mo ◽  
Zhao Liu ◽  
Jie Yang ◽  
Yuejun Song ◽  
Anguo Tu ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Soil Erosion ◽  
Southern China ◽  
Mean Value ◽  
Bermuda Grass ◽  
Sediment Runoff ◽  
Grass Cover ◽  
Water And Sediment Runoff ◽  
Moisture Contents ◽  
Water And Sediment

Soil erosion is recognized as one of the major environmental problems in the hilly red soil region of Jiangxi province, southern China. An eight-year field experiment was conducted to evaluate the effects of grass cover in the sloping citrus land on water and sediment runoff. Soil moisture regimes were also analysed based on the in-situ soil moisture measurement. Four treatments were carried out in the runoff plot experiment: (1) no vegetation, bare land (BL); (2) conventional treatment, citrus without grass cover (CK); (3) citrus with strip planting of Bermuda grass (SP); (4) citrus with full cover of Bermuda grass (FC). Results showed that the annual runoff volumes were significantly (P &lt; 0.05) reduced using SP (27.2 mm) and FC (33.0 mm) compared with CK (311.4 mm) and BL (456.7 mm) treatments. The SP and FC treatments significantly (P &lt; 0.05) reduced the annual average sediment yield by as much as 99.38% to 99.67%, compared with CK treatment. Soil moisture variations at the four depths (0–10, 10–20, 20–30, and 30–40 cm) were consistent with the seasonal precipitation patterns. Within the soil profile, soil moisture content increased with depth. In 3 of the 4 depths, the soil moisture contents of SP (21.20–27.84 m<sup>3</sup>/m<sup>3</sup>, mean value) were the highest. Soil moisture contents of FC (14.92–26.30 m<sup>3</sup>/m<sup>3</sup>,<br /> mean value) were lower than in SP because of the water consumption by plant transpiration, but were still higher than those of CK (16.03–25.00 m<sup>3</sup>/m<sup>3</sup>, mean value). Based on Richards’ equation numerical model, optimization tool and observed soil moisture data, actual evapotranspiration was calculated, and water balance analysis was carried out during drought and rain periods. The results indicated that planting grass in sloping citrus land can effectively reduce surface water runoff and soil erosion and increase water infiltration, but the risk of drought, resulting from planting grass, should be noticed. Compared with FC, the drought risk of SP was much lower during the drought period, and SP contributed to storage of more water in the root zone during the rain period. In conclusion, SP was a recommendable treatment.  

scholarly journals Numerical simulation method for predicting a flood hydrograph due to progressive failure of a landslide dam

Landslides ◽  
2021 ◽  
Author(s):  
S. Takayama ◽  
S. Miyata ◽  
M. Fujimoto ◽  
Y. Satofuka
Keyword(s):  
Field Experiments ◽  
Failure Modes ◽  
Initial Conditions ◽  
Progressive Failure ◽  
Landslide Dam ◽  
Failure Model ◽  
Reservoir Water ◽  
Erosion Model ◽  
Flood Hydrograph ◽  
Overtopping Erosion

AbstractReducing the damage due to landslide dam failures requires the prediction of flood hydrographs. Although progressive failure is one of the main failure modes of landslide dams, no prediction method is available. This study develops a method for predicting progressive failure. The proposed method consists of the progressive failure model and overtopping erosion model. The progressive failure model can reproduce the collapse progression from a dam toe to predict the longitudinal dam shape and reservoir water level when the reservoir water overflows. The overtopping erosion model uses these predicted values as the new initial conditions and reproduces the dam erosion processes due to an overtopping flow in order to predict a flood hydrograph after the reservoir water overflows. The progressive failure model includes physical models representing the intermittent collapse of a dam slope, seepage flow in a dam, and surface flow on a dam slope. The intermittent collapse model characterizes the progressive failure model. It considers a stabilization effect whereby collapse deposits support a steep slope. This effect decreases as the collapse deposits are transported downstream. Such a consideration allows the model to express intermittent, not continuous, occurrences of collapses. Field experiments on the progressive failure of a landslide dam were conducted to validate the proposed method. The progressive failure model successfully reproduced the experimental results of the collapse progression from the dam toe. Using the value predicted by the progressive failure model, the overtopping erosion model successfully reproduced the flood hydrograph after the reservoir water started to overflow.

scholarly journals 3-Dimensional modeling of 2014-Malin Landslide, Maharashtra using satellite-derived data: A quantitative approach to numerical simulation technique

2018 ◽  
Author(s):  
Shovan Lal Chattoraj ◽  
Prashant K. Champati ray ◽  
Sudhakar Pardeshi ◽  
Vikram Gupta ◽  
Yateesh Ketholia
Keyword(s):  
High Resolution ◽  
Debris Flow ◽  
Flow Simulation ◽  
Simulation Models ◽  
Quantitative Information ◽  
Simulation Technique ◽  
Maximum Height ◽  
Deccan Volcanic Province ◽  
South Indian ◽  
High Resolution Satellite Images

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.

scholarly journals Peak Discharge and Hydrograph Assessments Induced by Heavy Rainfall Events Using Tank Model

2018 ◽  
Vol 207 ◽  
pp. 02001
Author(s):  
Yen-Kun Hsu ◽  
Szu-Hsien Peng ◽  
Chiao-Wen Tsai
Keyword(s):  
Debris Flow ◽  
Flow Simulation ◽  
Rain Gauge ◽  
Peak Discharge ◽  
Soil Horizon ◽  
Tank Model ◽  
Rainfall Events ◽  
The Mean ◽  
Heavy Rainfall Events ◽  
Better Than

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.

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):  
Debris Flow ◽  
Flow Simulation

scholarly journals Dimensionless Assessment Method of Landslide Dam Formation Caused by Tributary Debris Flow Events

Geofluids ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Kun-Ting Chen ◽  
Xiao-Qing Chen ◽  
Gui-Sheng Hu ◽  
Yu-Shu Kuo ◽  
Yan-Rong Huang ◽  
...  
Keyword(s):  
Debris Flow ◽  
Water Depth ◽  
Debris Flows ◽  
Landslide Dam ◽  
Assessment Method ◽  
Main Stream ◽  
Deposition Thickness ◽  
The Relationship ◽  
Prepared Response

In this study, we develop a dimensionless assessment method to evaluate landslide dam formation by considering the relationship between the run-out distance of a tributary debris flow and the width of the main stream, deposition thickness of the tributary debris flow, and the water depth of the main stream. Based on the theory of debris flow run-out distance and fan formation, landslide dam formation may result from a tributary debris flow as a result of two concurrent formation processes: (1) the run-out distance of the tributary debris flow must be greater than the width of the main stream, and (2) the minimum deposition thickness of the tributary debris flow must be higher than the in situ water depth of the main stream. At the confluence, one of four types of depositional scenarios may result: (1) the tributary debris flow enters into the main stream and forms a landslide dam; (2) the tributary debris flow enters into the main stream but overflow occurs, thus preventing complete blockage of the main stream; (3) the tributary debris flow enters into the main stream, does not reach the far bank, and sediment remains partially above the water elevation of the main stream; or (4) the tributary debris flow enters into the main stream, does not reach the far bank, and sediment is fully submerged in the main stream. This method was applied to the analysis of 11 tributary debris flow events during Typhoon Morakot, and the results indicate that the dimensionless assessment method can be used to estimate potential areas of landslide dam formation caused by tributary debris flows. Based on this method, government authorities can determine potential areas of landslide dam formation caused by debris flows and mitigate possible disasters accordingly through a properly prepared response plan, especially for early identification.

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