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Full Description
This book discusses the impact of climate change, land use and land cover, and socio-economic dynamics on landslides in Asian countries. Scholars recently have brought about a shift in their focus regarding triggering factors for landslides, from rainfall or earthquake to claiming rapid urbanization, extreme population pressure, improper land use planning, illegal hill cutting for settlements and indiscriminate deforestation. This suggests that the occurrence or probabilities of landslides are shaped by both climate-related and non-climate-related anthropogenic factors. Among these issues, land use and land cover change or improper land use planning is one of the key factors. Further climate change shapes the rainfall pattern and intensity in different parts of the world, and consequently rainfall-triggered landslides have increased. These changes cause socio-economic changes. Conversely, socio-economic and lifestyle changes enhance inappropriate land use and climate change. All these changes in land use, climate and socio-economic aspects are dynamics in nature and shape landslide risks in Asian countries, where they are given serious attention by governments, disaster management professionals, researchers and academicians.
This book comprises 21 chapters divided into three major sections highlighting the effect of climate change on landslide incidence with the influence on vegetation and socio-economic aspects. The sections address how climate change and extreme events have triggered landslides. The advances in geospatial techniques with the focus on land use and land cover change along with the effect on socio-economic aspects are also explored.
Contents
Association of climate change to landslide vulnerability and occurrences in Bhutan.- A framework for assessing landslide risk in hilly terrains.- Landslide dam outburst in Myagdi, Nepal: early warning and preparedness key to minimizing disaster.- Landslide risk along the Sichuan-Tibetan railway.- Landslide, agricultural vulnerability and community initiatives: a case study in south-east part of Bangladesh.- Landslide, land-cover and land-use changes and its impacts in Nepal.- Comparison between two different methods applied to define rainfall thresholds for landslide forecasting in Idukki district of Kerala, India.- Prediction of amount of rainfall on landslide day using artificial neural network for Bhutan.- Measuring landslide susceptibility of Phuentsholling, Bhutan using novel ensemble machine learning methods.- Application of RBF and MLP neural networks integrating with rotation forest in modelling landslide susceptibility of Sampheling, Bhutan.- Use of Probabilistically Generated Scenario Earthquakes in Landslide Hazard Zonation: A Semi-Qualitative Approach.- Predicting the landslide susceptibility using ensembles of Bagging with RF and REPTree in Logchina, Bhutan.- Assessing social vulnerability to landslide disasters in Chittagong City, Bangladesh.- The vulnerability of human population to landslide disaster: A case study of Sikkim Himalayas.- Integration of Socio-economic dynamics and Communities' Resilience to Landslides in Swat valley, Pakistan.- Refugee Camps at Landslide Risk: Studying Mitigation Measures.- Introducing Japanese Landslide Warning System to Sri Lanka: Analyzing the Social Differences for Successful Technology Transfer.- Land Cover Changes and Landslide Risk in Sri Lanka.- Urban-rural connectivity for forest management and landslide risk reduction: case of Japan.- Slope stabilization using soil nails, practice and construction realities: a case study on the construction of soil nailed wall along Phuentsholing-Thimphu highway, Bhutan.- Cross cutting issues in landslide hazard of Japan: forest management, climate change, demographic change, and aging society.
