Landslide and slope stability evaluation in the historical town of Kruja, Albania

Muceku, Ylber; Korini, Oltion

doi:10.5194/nhess-14-545-2014

Cited by 9 publications

(4 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Slope-angle is a quantitative description of the extent of ground tilt, but also a basic landform index, through the influence of gravity, surface runoff and soil erosion affect the occurrence and intensity of erosion. For medium-sized basin and regional scale distributed hydrological and soil erosion model, the slope-angle of the surface is the most basic model parameters (Pedrazzini et al 2013;Muceku and Korini 2014). The slope-angle map was prepared from the DEM, and reclassified into four categories: (1) 0-5 , (2) 5-15 , (3) 15-30 , (4) >30 (Figure 3a).…”

Section: Digital Elevation Model and Derivativesmentioning

confidence: 99%

Comparison of four kernel functions used in support vector machines for landslide susceptibility mapping: a case study at Suichuan area (China)

Hong

Pradhan

Bui

et al. 2016

Geomatics, Natural Hazards and Risk

107

View full text Add to dashboard Cite

Suichuan is a mountainous area at the Jiangxi province in Central China, where rainfall-induced landslides occur frequently. The purpose of this study is to assess landslide susceptibility of this region using support vector machine (SVM) with four kernel functions: polynomial (PL), radial basis function (RBF), sigmoid (SIG), and linear (LN). A total of 178 landslides were used to accomplish this approach, of which, 125 (70%) landslides were randomly selected for training the landslide susceptibility models, whereas the remaining 53 (30%) were used for the model validation. Fifteen landslide conditioning factors were considered including slopeangle, altitude, slope-aspect, topographic wetness index (TWI), sediment transport index (STI), stream power index (SPI), plan curvature, profile curvature, distance to rivers, distance to faults, distance to roads, precipitation, landuse, normalized difference vegetation index (NDVI), and lithology. Using the training dataset, nine landslide susceptibility models for the Suichuan area were constructed with the four kernel functions. To evaluate the performance of these models, the receiver-operating characteristic curve (ROC) and area under the curve (AUC) were used. Using the training dataset, AUC values for the SVM-PL models with six degrees PL function (1-6) are 0.715, 0.801, 0.856, 0.891, 0.919, 0.953, respectively, and for the SVM-RBF model, the SVM-SIG model, and the SVM-LN model are 0.716, 0.741, and 0.740, respectively. Using the validation dataset, AUC values for the SVM-PL models with six degrees PL function (1-6) are 0.738, 0.730, 0.683, 0.648, 0.608, and 0.598, respectively, and for the SVM-RBF model, the SVM-SIG model, and the SVM-LN model are 0.716, 0.741, and 0.740, respectively. Our results suggested that the SVM-RBF model is the most suitable for landslide susceptibility assessment for the study area.

show abstract

Section: Digital Elevation Model and Derivativesmentioning

confidence: 99%

Comparison of four kernel functions used in support vector machines for landslide susceptibility mapping: a case study at Suichuan area (China)

Hong

Pradhan

Bui

et al. 2016

Geomatics, Natural Hazards and Risk

107

View full text Add to dashboard Cite

show abstract

“…The finite element method can be used to assess the stability of slopes using a failure definition, such as the finite element strength reduction method. In the strength reduction method, soil strength parameters is reduced until the slope becomes unstable and, thus, the factor of safety is calculated as the ratio between the initial strength parameter and the critical strength parameter [13,41,[43][44][45][46][47][48][49][50][51].…”

Section: Introductionmentioning

confidence: 99%

Stability Analysis of Plant-Root-Reinforced Shallow Slopes along Mountainous Road Corridors Based on Numerical Modeling

2019

View full text Add to dashboard Cite

Engineering methods such as soil nails, geosynthetic reinforcement, retaining structures, gabions, and shotcrete are implemented to stabilize road cut slopes along mountainous areas. However, these structures are not environmentally friendly and, particularly in Ethiopia, it is impossible to address all road problems due to financial limitations. Nowadays, soil reinforcement with plant roots is recognized as an environmentally sustainable alternative to improve shallow slope failure along mountainous transportation corridors. The aims of this study was, therefore, to conduct slope stability analysis along a road corridor by incorporating the effect of plant roots. Five plant species were selected for the analysis based on their mechanical characteristics. Namely, Eucalyptus globules (tree), Psidium guajava (shrub), Salix subserrata (shrub), Chrysopogon zizanioides, and Pennisetum macrourum (grasses). The roots' tensile strength and soil parameters were determined through tensile strength testing and triaxial compression tests, respectively. The factor of safety of the slope was calculated by the PLAXIS-2D software. The study showed that when the slope was reinforced with plant roots, the factor of safety (FOS) improved from 22-34%. The decreasing effect of vegetation on slope stability was observed when soil moisture increased. The sensitivity analysis also indicated that: (1) as the spacing between plants decreased, the effect of vegetation on the slope increased. (2) Slope angle modification with a combination of plant roots had a significant impact on slope stabilization. Of the five-selected plant species, Salix subserrata was the promising plant species for slope stabilization as it exhibited better root mechanical properties among selected plant species.

show abstract

“…It's very important to emphasize that, mostly of studied area is generally built from rocks with low geotechnical parameters-soft rocks, which induce the mass movement phenomena. Furthermore, it is subject to the occurrence of many earthquakes with magnitude range from 4.6 -5.0 [22], up to 6.3 and rainfall in high quantities that are 1200 -1300 mm/year [6,20], which are the main causes of mass movements [15], in studied area. From the field work data, it results that over the studied zone have occurred several landslides.…”

Section: Mass Movementmentioning

confidence: 99%

Geotechnical Analysis of Hill’s Slopes Areas in Heritage Town of Berati, Albania

Muceku¹,

Korini²,

Kuriqi³

2016

Period. Polytech. Civil Eng.

View full text Add to dashboard Cite

show abstract

Landslide and slope stability evaluation in the historical town of Kruja, Albania

Cited by 9 publications

References 8 publications

Comparison of four kernel functions used in support vector machines for landslide susceptibility mapping: a case study at Suichuan area (China)

Comparison of four kernel functions used in support vector machines for landslide susceptibility mapping: a case study at Suichuan area (China)

Stability Analysis of Plant-Root-Reinforced Shallow Slopes along Mountainous Road Corridors Based on Numerical Modeling

Geotechnical Analysis of Hill’s Slopes Areas in Heritage Town of Berati, Albania

Contact Info

Product

Resources

About