Mapping earthquake-triggered landslide susceptibility by use of artificial neural network (ANN) models: an example of the 2013 Minxian (China) Mw 5.9 event

Mapping earthquake-triggered landslide susceptibility by use of artificial neural network (ANN) models: an example of the 2013 Minxian (China) Mw 5.9 event

A landslide susceptibility map, which describes the quantitative relationship between known landslides and control factors, is essential to link the theoretical prediction with practical disaster reduction measures. In this work, the artificial neural network (ANN) model, a promising tool for mappin...

Full description

Bibliographic Details
Main Authors: Yingying Tian, Chong Xu, Haoyuan Hong, Qing Zhou, Duo Wang
Format: Article
Language:English
Published: Taylor & Francis Group 2019-01-01
Series:Geomatics, Natural Hazards & Risk
Subjects:
seismic landslides
minxian earthquake
artificial neural network
susceptibility assessment
seismic factors
Online Access:http://dx.doi.org/10.1080/19475705.2018.1487471

Internet

http://dx.doi.org/10.1080/19475705.2018.1487471

Similar Items