Probabilistic analysis of landslide hazard: considering the dependence between hazard components
Author:
Affiliation:
1. School of Civil Engineering, Harbin Institute of Technology, Harbin, China
2. School of Engineering and Technology, China University of Geosciences (Beijing), Beijing, China
Funder
the National Key Research and Development Program of China
Publisher
Informa UK Limited
Subject
Water Science and Technology,Geography, Planning and Development
Link
https://www.tandfonline.com/doi/pdf/10.1080/10106049.2022.2089241
Reference65 articles.
1. How do machine learning techniques help in increasing accuracy of landslide susceptibility maps?
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3. Rock avalanches and other landslides in the central Southern Alps of New Zealand: a regional study considering possible climate change impacts
4. Landslide hazard and risk assessment mapping of mountainous terrains — a case study from Kumaun Himalaya, India
5. Comparing the prediction performance of a Deep Learning Neural Network model with conventional machine learning models in landslide susceptibility assessment
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