Analysis and evaluation of landslide susceptibility: a review on articles published during 2005-2016 (periods of 2005-2012 and 2013-2016)

被引:180
作者
Pourghasemi, Hamid Reza [1 ]
Yansari, Zeinab Teimoori [2 ]
Panagos, Panos [3 ]
Pradhan, Biswajeet [4 ]
机构
[1] Shiraz Univ, Dept Nat Resources & Environm Engn, Coll Agr, Shiraz, Iran
[2] Ferdowsi Univ Mashhad, Fac Letters & Humanities, Dept Geomorphol, Mashhad, Iran
[3] European Commiss, Joint Res Ctr, Ispra, Varese, Italy
[4] Univ Technol Sydney, Fac Engn & Informat Technol, Sch Syst Management & Leadership, Ultimo, NSW 2007, Australia
关键词
Landslide susceptibility; Logistic regression; Conditioning factors; Temporal trend; Modeling; ANALYTICAL HIERARCHY PROCESS; SUPPORT VECTOR MACHINE; LOGISTIC-REGRESSION; FREQUENCY RATIO; STATISTICAL INDEX; RIVER-BASIN; MODELS; MULTIVARIATE; BIVARIATE; GIS;
D O I
10.1007/s12517-018-3531-5
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Landslides are one of the most important environmental hazards occur naturally or human-induced with large-scale social, economic, and environmental impacts. Landslide susceptibility zoning, which has been widely performed in the last decades, allows identifying spatial prediction of areas of landslides, which could be used for land use planning and land management. The present study was conducted as a review with the aim of investigating the research background of landslide susceptibility in the world during the period of 2005-2016. The results showed that the publication of papers related to landslide susceptibility during the period of investigation has been on the rise, and China has produced a larger number of papers and authors (13% of total). In addition, this article reviews the most popularly used models and the most frequently used input factors. Among different models, the logistic regression has been used as the most common method for assessing landslide susceptibility in 28.4% of the articles, and the slope gradient is considered as the most important conditioning factor in landslide occurrence in 94.2% of the articles. Finally, it is concluded that the recent technological developments in the field of remote sensing, computing technologies and Geographic Information Systems (GIS), the increased data availability, and the awareness has arisen among media and recent policy developments are important elements for increasing the research interest in landslide susceptibility.
引用
收藏
页数:12
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