Evaluating Slope Stability in Forest Uplands with Deterministic and Probabilistic Models

Koler, T. E.

doi:10.2113/gseegeosci.iv.2.185

Cited by 7 publications

(4 citation statements)

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“…The sediment model follows the same conceptual foundation that has been used in stochastic slope‐stability models [e.g., Hammond et al , 1992; Koler , 1998]. The main difference is that slope failures are based on the dynamic simulation of soil saturation by DHSVM, from which time‐varying pore pressure, and hence failure probabilities, are computed.…”

Section: Model Descriptionmentioning

confidence: 99%

A spatially distributed model for the dynamic prediction of sediment erosion and transport in mountainous forested watersheds

Doten

Bowling

Lanini

et al. 2006

Water Resources Research

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[1] Erosion and sediment transport in a temperate forested watershed are predicted with a new sediment model that represents the main sources of sediment generation in forested environments (mass wasting, hillslope erosion, and road surface erosion) within the distributed hydrology-soil-vegetation model (DHSVM) environment. The model produces slope failures on the basis of a factor-of-safety analysis with the infinite slope model through use of stochastically generated soil and vegetation parameters. Failed material is routed downslope with a rule-based scheme that determines sediment delivery to streams. Sediment from hillslopes and road surfaces is also transported to the channel network. A simple channel routing scheme is implemented to predict basin sediment yield. We demonstrate through an initial application of this model to the Rainy Creek catchment, a tributary of the Wenatchee River, which drains the east slopes of the Cascade Mountains, that the model produces plausible sediment yield and ratios of landsliding and surface erosion when compared to published rates for similar catchments in the Pacific Northwest. A road removal scenario and a basin-wide fire scenario are both evaluated with the model.

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Section: Model Descriptionmentioning

confidence: 99%

A spatially distributed model for the dynamic prediction of sediment erosion and transport in mountainous forested watersheds

Doten

Bowling

Lanini

et al. 2006

Water Resources Research

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“…Depending on the classification system, nine types of flora have been found: primary forests, secondary jungles, rubber, bush trees, grass, clear land, recreation and recreation, urban areas and lakes ( Figure 6). The tropical vegetation cover in the study area has a surcharge of 0 to 2.95 kN/m 3 from the Department of Forestry (PWD) of the Malaysian Ministry of Agriculture (MOA) and the Malaysian Public Works Department (Table 2) [45][46][47][48][49][50]. The root cohesion of the plant cover ranged from 0 to 2.75 kPa depending on the root density, species and soil characteristics [45][46][47].…”

Section: Soil Properties and Zonationmentioning

confidence: 99%

Susceptibility Assessments of Landslides in Hulu Kelang Area Using a Geographic Information System-Based Prediction Model

et al. 2018

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This study was conducted to estimate the susceptibility of landslides on a test site in Malaysia (Hulu Kelang area). A Geographic Information system (GIS)-based physical model named YS-Slope, which integrates a mechanistic infinite slope stability method and the geo-hydrological model was applied to calculate the safety factor of the test site. Input data, slopes, soil-depth, elevations, soil properties and plant covers were constructed as GIS datasets. The factor of safety of shallow landslides along the wetting front and deep-seated landslides at the bottom of the groundwater were estimated to compare with the analysis results of the existing model and actual landslides in 2008. According to the results of the study, shallow landslides mainly occurred in the central area which has many historical landslides, while deep-seated landslides were predominant in the east side of the study area. A ROC analysis was conducted and it is shown that the prediction result at the end of the northeast monsoon for shallow landslides showed relatively high accuracy compared with other predictions.

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“…This slope is greater than the 18°, which the US Department of Agriculture considers to be an optimal slope for sustained stability (Simons et al, 1978;Koler, 1998Koler, , 2000Friedel et al, 2006). The total volume of materials deposited in the accumulation zone was estimated to vary between 95,000 and 100,000 m 3 (Esu et al, 2009).…”

Section: The Obot Ekpo Landslide Sitementioning

confidence: 99%

Geophysical investigation of Obot Ekpo Landslide site, Cross River State, Nigeria

Akpan

Ilori

Essien

2015

Journal of African Earth Sciences

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Evaluating Slope Stability in Forest Uplands with Deterministic and Probabilistic Models

Cited by 7 publications

References 0 publications

A spatially distributed model for the dynamic prediction of sediment erosion and transport in mountainous forested watersheds

A spatially distributed model for the dynamic prediction of sediment erosion and transport in mountainous forested watersheds

Susceptibility Assessments of Landslides in Hulu Kelang Area Using a Geographic Information System-Based Prediction Model

Geophysical investigation of Obot Ekpo Landslide site, Cross River State, Nigeria

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