Landslide susceptibility analysis using remote sensing and GIS in the western Ecuadorian Andes

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• 作者：Nicolás Younes Cárdenas ; Estefanía Erazo Mera
• 关键词：Landslide susceptibility analysis ; Yule coefficient ; Landslide inventory ; Distance distribution analysis ; Ecuador ; Risk assessment ; Spatial association
• 刊名：Natural Hazards
• 出版年：2016
• 出版时间：April 2016
• 年：2016
• 卷：81
• 期：3
• 页码：1829-1859
• 全文大小：3,827 KB
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• 作者单位：Nicolás Younes Cárdenas (1)
  Estefanía Erazo Mera (1)
  
  1. College of Science, Technology and Engineering, James Cook University, Gaspar de Villarroel E11-95 y 6 de diciembre, Quito, Ecuador
  
• 刊物类别：Earth and Environmental Science
• 刊物主题：Earth sciences
  Hydrogeology
  Geophysics and Geodesy
  Geotechnical Engineering
  Civil Engineering
  Environmental Management
  
• 出版者：Springer Netherlands
• ISSN：1573-0840

文摘

In this paper we created and validated a predictive model for assessing the susceptibility of landslides along highway E-20 in Ecuador, by measuring the degree of spatial association of a landslide inventory with a set of spatial factors in an empirical way. The main aims of this paper are to: (1) determine what spatial factors are most associated with landslide occurrence, (2) determine whether the E-20 has any type of influence on landslide occurrence and, if so, up to what distance. For this, we created a landslide inventory based on multi-temporal images from different sources and used the Yule coefficient and the distance distribution analysis, which enabled us to determine which spatial factors are more closely related to the occurrence of landslides. The findings support the idea that landslides are not randomly distributed, but are associated (positively or negatively) to the different geo-environmental conditions of the study area; in this case, landslides have shown positive association with areas of active erosive processes, granitic rocks, volcanic sandstone and rainfall ranging from 1500 to 1750 mm. The statistical significance of the model was tested in two different ways; thus, it can be considered as valid, showing that each spatial factor has some influence on the occurrence of landslides.