scholarly journals A Saturation Excess Erosion Model

2011 ◽  
Author(s):  
Tammo S Steenhuis ◽  
Seifu Admassu Tilahun
Keyword(s):  
Erosion Model ◽  
Saturation Excess

scholarly journals A Saturation Excess Erosion Model

2013 ◽  
Vol 56 (2) ◽  
pp. 681-695 ◽  
Author(s):  
Seifu Admassu Tilahun ◽  
Rajith Mukundan ◽  
Bezawit A. Demisse ◽  
Tegenu A. Engda ◽  
Christian D. Guzman ◽  
...  
Keyword(s):  
Erosion Model ◽  
Saturation Excess

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.

High-mode wave reliefs in a spatially nonlocal erosion model

2014 ◽  
Vol 43 (4) ◽  
pp. 277-283
Author(s):  
A. S. Rudyi ◽  
A. N. Kulikov ◽  
D. A. Kulikov ◽  
A. V. Metlitskaya
Keyword(s):  
High Mode ◽  
Erosion Model ◽  
Mode Wave

New Soil Erosion Model Erodes Farmers' Patience

Science ◽  
1994 ◽  
Vol 264 (5166) ◽  
pp. 1661-1662 ◽  
Author(s):  
J. Glanz
Keyword(s):  
Soil Erosion ◽  
Erosion Model

Evaluation of a wind erosion model in a desert area of northern Asia by eddy covariance

2009 ◽  
Vol 34 (13) ◽  
pp. 1743-1757 ◽  
Author(s):  
Gerardo Fratini ◽  
Monia Santini ◽  
Paolo Ciccioli ◽  
Riccardo Valentini
Keyword(s):  
Eddy Covariance ◽  
Wind Erosion ◽  
Desert Area ◽  
Northern Asia ◽  
Erosion Model

scholarly journals An efficient semi-distributed hillslope erosion model for the subhumid Ethiopian Highlands

2013 ◽  
Vol 17 (3) ◽  
pp. 1051-1063 ◽  
Author(s):  
S. A. Tilahun ◽  
C. D. Guzman ◽  
A. D. Zegeye ◽  
T. A. Engda ◽  
A. S. Collick ◽  
...  
Keyword(s):  
Surface Runoff ◽  
Source Area ◽  
Sediment Concentration ◽  
Erosion Model ◽  
Ethiopian Highlands ◽  
Source Areas ◽  
Blue Nile Basin ◽  
Field Evidence ◽  
Sediment Loss ◽  
Main Variable

Abstract. Erosion modeling has been generally scaling up from plot scale but not based on landscape topographic position, which is a main variable in saturation excess runoff. In addition, predicting sediment loss in Africa has been hampered by using models developed in western countries and do not perform as well in the monsoon climate prevailing in most of the continent. The objective of this paper is to develop a simple erosion model that can be used in the Ethiopian Highlands in Africa. We base our sediment prediction on a simple distributed saturated excess hydrology model that predicts surface runoff from severely degraded lands and from bottom lands that become saturated during the rainy season and estimates interflow and baseflow from the remaining portions of the landscape. By developing an equation that relates surface runoff to sediment concentration generated from runoff source areas, assuming that baseflow and interflow are sediment-free, we were able to predict daily sediment concentrations from the Anjeni watershed with a Nash–Sutcliffe efficiency ranging from 0.64 to 0.78 using only two calibrated sediment parameters. Anjeni is a 113 ha watershed in the 17.4 million ha Blue Nile Basin in the Ethiopian Highlands. The discharge of the two watersheds was predicted with Nash–Sutcliffe efficiency values ranging from 0.80 to 0.93. The calibrated values in Anjeni for degraded (14%) and saturated (2%) runoff source area were in agreement with field evidence. The analysis suggests that identifying the runoff source areas and predicting the surface runoff correctly is an important step in predicting the sediment concentration.

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