Landslide susceptibility zonation using GIS and evidential belief function model

doi:10.1007/s12517-016-2722-1

	Landslide susceptibility zonation using GIS and evidential belief function model
	Wu, YL; Ke, YT; Wu, YL (reprint author), China Univ Min & Technol, Sch Resources & Geosci, Xuzhou 221116, Peoples R China.
刊名	ARABIAN JOURNAL OF GEOSCIENCES
	2016-11
卷号	9 期号:1-17
关键词	Landslide Zonation GIS Evidential belief function (EBF) China
ISSN号	1866-7511
DOI	10.1007/s12517-016-2722-1
文献子类	Article
英文摘要	The main goal of this paper is to generate a landslide susceptibility map through evidential belief function (EBF) model by using Geographic Information System (GIS) for Qianyang County, Shaanxi Province, China. At first, a detailed landslide inventory map was prepared, and the following ten landslide-conditioning factors were collected: slope angle, slope aspect, curvature, plan curvature, profile curvature, altitude, distance to rivers, geomorphology, lithology, and rainfall. The landslides were detected from the interpretation of aerial photographs and supported by field surveys. A total of 81 landslides were randomly split into the following two parts: the training dataset 70 % (56 landslides) were used for establishing the model and the remaining 30 % (25 landslides) were used for the model validation. The ArcGIS was used to analyze landslide-conditioning factors and evaluate landslide susceptibility; as a result, a landslide susceptibility map was generated by using EBF and ArcGIS 10.0, thus divided into the following five susceptibility classes: very low, low, moderate, high, and very high. Finally, when we validated the accuracy of the landslide susceptibility map, both the success-rate and prediction-rate curve methods were applied. The results reveal that a final susceptibility map has the success rate of 83.31 % and the prediction rate of 79.41 %.
学科主题	Geology
出版地	HEIDELBERG
语种	英语
WOS记录号	WOS:000387152300015
内容类型	期刊论文
源URL	[http://ir.lzu.edu.cn/handle/262010/189435]
专题	土木工程与力学学院_期刊论文
通讯作者	Wu, YL (reprint author), China Univ Min & Technol, Sch Resources & Geosci, Xuzhou 221116, Peoples R China.
推荐引用方式 GB/T 7714	Wu, YL,Ke, YT,Wu, YL . Landslide susceptibility zonation using GIS and evidential belief function model[J]. ARABIAN JOURNAL OF GEOSCIENCES,2016,9(1-17).
APA	Wu, YL,Ke, YT,&Wu, YL .(2016).Landslide susceptibility zonation using GIS and evidential belief function model.ARABIAN JOURNAL OF GEOSCIENCES,9(1-17).
MLA	Wu, YL,et al."Landslide susceptibility zonation using GIS and evidential belief function model".ARABIAN JOURNAL OF GEOSCIENCES 9.1-17(2016).