IMHE OpenIR  > Journal of Mountain Science  > Journal of Mountain Science-2017  > Vol14 No.10
Landslide initiation and runout susceptibility modeling in the context of hill cutting and rapid urbanization: a combined approach of weights of evidence and spatial multi-criteria
RAHMAN Md. Shahinoor; AHMED Bayes; DI Liping
Corresponding AuthorDI Liping
2017-10
Source PublicationJournal of Mountain Science
ISSN1672-6316
Volume14Issue:10Pages:1919-1937
Subtype期刊论文
AbstractRainfall induced landslides are a common threat to the communities living on dangerous hill-slopes in Chittagong Metropolitan Area, Bangladesh. Extreme population pressure, indiscriminate hill cutting, increased precipitation events due to global warming and associated unplanned urbanization in the hills are exaggerating landslide events. The aim of this article is to prepare a scientifically accurate landslide susceptibility map by combining landslide initiation and runout maps. Land cover, slope, soil permeability, surface geology, precipitation, aspect, and distance to hill cut, road cut, drainage and stream network factor maps were selected by conditional independence test. The locations of 56 landslides were collected by field surveying. A weight of evidence (WoE) method was applied to calculate the positive (presence of landslides) and negative (absence of landslides) factor weights. A combination of analytical hierarchical process (AHP) and fuzzy membership standardization (weighs from 0 to 1) was applied for performing a spatial multi-criteria evaluation. Expert opinion guided the decision rule for AHP. The Flow-R tool that allows modeling landslide runout from the initiation sources was applied. The flow direction was calculated using the modified Holmgren's algorithm. The AHP landslide initiation and runout susceptibility maps were used to prepare a combined landslide susceptibility map. The relative operating characteristic curve was used for model validation purpose. The accuracy of WoE, AHP, and combined susceptibility map was calculated 96%, 97%, and 98%, respectively.
KeywordLandslide Susceptibility Landslide Runout Gis Remote Sensing Weights Of Evidence (Woe) Analytical Hierarchical Process (Ahp) Relative Operating Characteristic (Roc) Bangladesh
DOIhttps://doi.org/10.1007/s11629-016-4220-z
Indexed BySCI
Language英语
Citation statistics
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/19087
CollectionJournal of Mountain Science_Journal of Mountain Science-2017_Vol14 No.10
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RAHMAN Md. Shahinoor,AHMED Bayes,DI Liping. Landslide initiation and runout susceptibility modeling in the context of hill cutting and rapid urbanization: a combined approach of weights of evidence and spatial multi-criteria[J]. Journal of Mountain Science,2017,14(10):1919-1937.
APA RAHMAN Md. Shahinoor,AHMED Bayes,&DI Liping.(2017).Landslide initiation and runout susceptibility modeling in the context of hill cutting and rapid urbanization: a combined approach of weights of evidence and spatial multi-criteria.Journal of Mountain Science,14(10),1919-1937.
MLA RAHMAN Md. Shahinoor,et al."Landslide initiation and runout susceptibility modeling in the context of hill cutting and rapid urbanization: a combined approach of weights of evidence and spatial multi-criteria".Journal of Mountain Science 14.10(2017):1919-1937.
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