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Titlebook: Impact of Climate Change, Land Use and Land Cover, and Socio-economic Dynamics on Landslides; Raju Sarkar,Rajib Shaw,Biswajeet Pradhan Boo

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Comparison Between Two Different Methods Applied to Define Rainfall Thresholds for Landslide Forecaside and rainfall data but also the topographic properties, soil parameters, and porewater pressure of the soil. For the comparison, these models were applied to the same location, i.e. Idukki. Hazard assessment for each model was done by using various indexes, i.e. sensitivity, specificity and likel
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Measuring Landslide Susceptibility of Phuentsholling, Bhutan Using Novel Ensemble Machine Learning Med to be the most effective for the prediction of landslide susceptibility. The research study found that the methods incorporated for the area under consideration could be applied to similar areas worldwide.
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Use of Probabilistically Generated Scenario Earthquakes in Landslide Hazard Zonation: A Semi-qualitas required in selecting an appropriate earthquake intensity measure (IM) parameter for such multi-hazard integration, and after careful consideration, peak ground acceleration (PGA) characteristic of the scenario earthquakes is used. For the study area, six preparatory landslide causative factors ar
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The Vulnerability of Human Population to Landslide Disaster: A Case Study of Sikkim Himalayas risk. The Sendai Framework for Disaster Risk Reduction (SFDRR) 2015–2030 urges to engage in a series of actions at different levels (local, national, and global) to reduce the landslide susceptibility, risk, and losses in terms of human population and physical infrastructures. The Human vulnerabili
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Refugee Camps at Landslide Risk: Studying Mitigation Measuresallowed to understand the process of applying the ‘low-tech bioengineering’ method or a more nature-based resilient method that requires to construct protected terraces along with drainage channels and plantations while maintaining the temporal nature of the built environment. This method, along wit
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