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Multivariate statistical algorithms for landslide susceptibility assessment in Kailash Sacred landscape, Western Himalaya

AbstractLandslide susceptibility mapping plays an imperative role in mitigating hazards and determining the future direction of developmental activities in mountainous regions. Here, we used 518 landslide occurrences and nine landslide-conditioning parameters to build landslide vulnerability models...

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Kaydedildi:
Asıl Yazarlar: Arvind Pandey, Mriganka Shekhar Sarkar, Sarita Palni, Deepanshu Parashar, Gajendra Singh, Saurabh Kaushik, Naveen Chandra, Romulus Costache, Ajit Pratap Singh, Arun Pratap Mishra, Hussein Almohamad, Motrih Al-Mutiry, Hazem Ghassan Abdo
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Taylor & Francis Group 2023-12-01
Seri Bilgileri:Geomatics, Natural Hazards & Risk
Konular:
Landslide susceptibility modelling
landslide conditioning
landscape vulnerability
Boyce Index
risk assessment
Himalaya
Online Erişim:https://www.tandfonline.com/doi/10.1080/19475705.2023.2227324
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