Landslides in Forests around the World
Causes and Mitigation

Download Url(s)
https://mdpi.com/books/pdfview/book/7250Contributor(s)
Wen, Haijia (editor)
Li, Weile (editor)
Xu, Chong (editor)
Daimaru, Hiromu (editor)
Language
EnglishAbstract
This reprint, named “Landslides in Forests around the World: Causes and Mitigation”, covers various topics, such as the impact mechanism of tree roots on landslide stability, landslide deformation monitoring, landslide disaster prevention and control engineering technology, the automatic identification of regional landslides, susceptibility and hazard assessment, and a rainfall-induced mass landslide warning.
Keywords
shallow landslide; probability of occurrence; typhoon; data-driven model; Ningguo City; landslide susceptibility; antecedent effective precipitation; daily precipitation; hybrid landslide warning model; multibaseline InSAR techniques; Guang’an Village Landslide; InSAR; time-series analysis; post-event deformation mapping; root-soil composite; root reinforcement coefficient; shear strength parameters; root distribution angle; root diameter; landslide susceptibility mapping; random forest model; qualitative analysis; quantitative evaluation; Yunyang County; granular flow; ring-shear test; fluctuation characteristics; landslide; susceptibility; tree species; age group; woodland type; forest origin; YOLOv3; deep learning; automatic landslide identification; remote sensing image; flexible rockfall barrier; energy capacity; landslide debris; field investigation; coupled numerical simulation; land-use suitability; Hechuan District; landslide susceptibility assessment; machine learning; Three Gorges Reservoir area; early-warning model; Random Forest; model study; nucleation process; waveform similarity; repeating earthquakes; neighboring earthquakes; reinforcement of roots; slope stability; growth and decay; Japanese cedar trees; shallow landslides; n/aWebshop link
https://mdpi.com/books/pdfview ...ISBN
9783036575070, 9783036575063Publisher website
www.mdpi.com/booksPublication date and place
Basel, 2023Classification
Research and information: general
Environmental economics

