Occurrence of landslides in Nepal and their mitigation options

Thapa, Prem Bahadur

doi:10.3126/jngs.v49i1.23138

Cited by 14 publications

(5 citation statements)

References 15 publications

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“…In the context of Nepal, Landslides are the most occurrences natural hazards in the Nepalese mountain areas [1] and have become one of the main natural hazards among other natural hazards like earthquake and lighting [6]. Many hill slopes in Nepal are situated on or adjacent to unstable slopes and old landslides, which are reactivated from time to time [7]. In recent years, globally, landslide has been previously assumed hazard, both in terms of economic losses and injuries [8].…”

Section: Introductionmentioning

confidence: 99%

GIS-Based Frequency Ratio Method for Identification of Potential Landslide Susceptible Area in the Siwalik Zone of Chatara-Barahakshetra Section, Nepal

Thapa¹,

Bhandari²

2019

OJG

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The hilly regions of Nepal are potential for land sliding in rainy season. Lying between two major thrusts: Main Frontal Thrust (MFT) and Main Boundary Thrust (MBT), the rocks of Siwalik zone are very weak and fragile. Shallow and deep landslides are very common in the Siwalik zone during heavy and continuous rainfall. The landslide in the busy road and agglomerate settlements are destroying the life and properties every year in rainy season. This study aims to develop a landslide susceptibility map of Chatara-Barahakshetra area, Siwalik zones of eastern Nepal by the means of frequency ratio model. The paper utilized the remote sensing and GIS to develop a landslide susceptibility map. Total of 382 landslide polygons were mapped from Google earth and by field verification. The validation results showed that the success rate curve with 72.55 percentage of the area lying under the curve and the prediction rate curve with 71.73 percentage of the area lying under the curve indicating that prediction ability of the Frequency Ratio model. These landslide susceptibility maps can be used as a planning tool by prioritizing areas for controlling the landslide effects. More than 71% success rate indicate that frequency ratio model is suitable model for the landslide susceptibility in the study area.

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Section: Introductionmentioning

confidence: 99%

GIS-Based Frequency Ratio Method for Identification of Potential Landslide Susceptible Area in the Siwalik Zone of Chatara-Barahakshetra Section, Nepal

Thapa¹,

Bhandari²

2019

OJG

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“…Human actions are the most manageable and modifiable causes leading to landslides in Nepal [45]. Several landslides are happening along the roads and transportation corridors.…”

Section: Discussionmentioning

confidence: 99%

“…Landslides are concentrated in certain areas near major highways and newly developed country roads, leading to increased losses and damages. When trying to repair the damaged roadways, the alignment consistently moves towards the hillside, causing additional destabilization of the delicate colluvial slope [45,46]. Engineering works are typically conducted during dry seasons by modifying the slope and surface morphology.…”

Section: Discussionmentioning

confidence: 99%

Assessing the Prediction Accuracy of Frequency Ratio, Weight of Evidence, Shannon Entropy, and Information Value Methods for Landslide Susceptibility in the Siwalik Hills of Nepal

Bhandari,

Dhakal,

Tsou

2024

Sustainability

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The main objective of this study is to assess the prediction and success rate based on bivariate frequency ratio (FR), weight of evidence (WoE), Shannon entropy (SE), and information value (IV) models for landslide susceptibility in the sedimentary terrain of Nepal Himalaya, as the area is facing threat for sustainable development as well as sustainable resource management. This study also seeks to evaluate the causative factors for landslide susceptibility. Initially, a landslide inventory map was created, consisting of 1158 polygons. These polygons were randomly divided into two sets, with a ratio of 70% for training and 30% for testing data. The multicollinearity approach was evaluated to assess the relevance of selected conditioning variables and their inclusion in the model construction process. The area under the curve (AUC) and other arithmetic evaluation methods were employed to validate and compare the outcomes of the models. In comparison, the predictive accuracy of the FR model surpasses that of the IV and SE models. The success rates, ranked in descending order, are as follows: WoE (79.9%), FR (75.3%), IV (74.4%), and SE (73.2%). Similarly, the success rates of four distinct models, namely WoE, FR, IV, and SE, are 85%, 78.75%, 78.57%, and 77.2%, correspondingly. All models have an accuracy and prediction rate exceeding 70%, making them suitable for assessing landslide susceptibility in the Siwalik Hills of Nepal. Nevertheless, the weight of evidence model provides more precise outcomes than other models. This study is expected to provide important information for road and settlement sustainability in the study area.

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“…It affects the lives and livelihoods of locals and the local economy along with psychological effects that can take decades to heal. During the summer monsoon, landslide has been mostly affecting infrastructure, lives, and properties in Nepal (Thapa, 2015).…”

Section: Introductionmentioning

confidence: 99%

Landslide susceptibility assessment in the Rangun Khola watershed of far western Nepal

Pathak

Devkota

2022

Journal of Nepal Geological Society

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Considering the serious threat of landslides to life, property, and the environment, this study aimed at exploring past landslides (2005-2020) to evaluate landslide susceptibility. The study is carried out in the Rangun Khola watershed, in western Nepal covering an area of 488 km2. The landslide inventory map was prepared, recognizing 494 landslides, among them 70% were used for susceptibility mapping, and the rest 30% for validation purposes. The size of the landslide was found in the range of 103.53 m2 to 149120.1 m2, with an average of 4677.35 m2. Frequency ratio (FR) and logistic regression (LR) models were implemented for landslide susceptibility assessment based on the various intrinsic factors. The validity of the models was assessed by using receiver operating characteristic (ROC) curves. The success rate was 87.6% for the LR model with a prediction rate of 87.3% indicating a good degree of fit. Similarly, with a success rate of 76.4% and a prediction rate of 75.1%, the result obtained from the FR model was a fairly good performance. Thus, both exhibited reasonably good accuracy in predicting the susceptibility of the landslide and are considered to be in land management and hazard mitigation, and policy formulating purposes.

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Occurrence of landslides in Nepal and their mitigation options

Cited by 14 publications

References 15 publications

GIS-Based Frequency Ratio Method for Identification of Potential Landslide Susceptible Area in the Siwalik Zone of Chatara-Barahakshetra Section, Nepal

GIS-Based Frequency Ratio Method for Identification of Potential Landslide Susceptible Area in the Siwalik Zone of Chatara-Barahakshetra Section, Nepal

Assessing the Prediction Accuracy of Frequency Ratio, Weight of Evidence, Shannon Entropy, and Information Value Methods for Landslide Susceptibility in the Siwalik Hills of Nepal

Landslide susceptibility assessment in the Rangun Khola watershed of far western Nepal

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