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Viser: Impact of Climate Change, Land Use and Land Cover, and Socio-Economic Dynamics on Landslides
Impact of Climate Change, Land Use and Land Cover, and Socio-economic Dynamics on Landslides Vital Source e-bog
(2022)
Impact of Climate Change, Land Use and Land Cover, and Socio-economic Dynamics on Landslides Vital Source e-bog
(2022)
Impact of Climate Change, Land Use and Land Cover, and Socio-economic Dynamics on Landslides Vital Source e-bog
(2022)
Impact of Climate Change, Land Use and Land Cover, and Socio-Economic Dynamics on Landslides
Raju Sarkar, Rajib Shaw og Biswajeet Pradhan
(2022)
Sprog: Engelsk
Detaljer om varen
- Vital Source 90 day rentals (dynamic pages)
- Udgiver: Springer Nature (Januar 2022)
- ISBN: 9789811673146R90
Bookshelf online: 90 dage fra købsdato.
Bookshelf appen: 90 dage fra købsdato.
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Detaljer om varen
- Vital Source 180 day rentals (dynamic pages)
- Udgiver: Springer Nature (Januar 2022)
- ISBN: 9789811673146R180
Bookshelf online: 180 dage fra købsdato.
Bookshelf appen: 180 dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
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Detaljer om varen
- Vital Source 365 day rentals (dynamic pages)
- Udgiver: Springer Nature (Januar 2022)
- ISBN: 9789811673146R365
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: 5 år fra købsdato.
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Detaljer om varen
- Hardback
- Udgiver: Springer (Januar 2022)
- Forfattere: Raju Sarkar, Rajib Shaw og Biswajeet Pradhan
- ISBN: 9789811673139
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.
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.