DOI: 10.1007/s11069-021-04599-8
论文题名: Landslide susceptibility mapping of Gdynia using geographic information system-based statistical models
作者: Małka A.
刊名: Natural Hazards
ISSN: 0921030X
出版年: 2021
卷: 107, 期: 1 起始页码: 639
结束页码: 674
语种: 英语
中文关键词: Logistic regression
; Mass movement
; Statistical landslide index
; Susceptibility assessment
; Urbanized area
; Weight of evidence
英文关键词: accuracy assessment
; geological hazard
; geomorphological response
; GIS
; hazard assessment
; hydrogeology
; landslide
; logistics
; mass movement
; regression analysis
; slope dynamics
; slope failure
; urban area
; Gdynia
; Poland [Central Europe]
; Pomorskie
英文摘要: This work aims to prepare a reliable landslide susceptibility model and to analyse the factors contributing to landslides in a dynamic environment by considering the city of Gdynia, Poland as a case study. Geological, geomorphological, hydrological, hydrogeological, and anthropogenic predisposing factors are considered using geographic information systems. Ground types at different depths (1 m and 4 m b.g.l.) are used in the statistical susceptibility assessment for the first time. Landslide susceptibility maps are developed using two techniques in presenting landslides, 13 conditioning factors, and three statistical methods: landslide index, weight of evidence, and logistic regression. The considered factors have an influence on mass movement formation, but their roles are different. Many of these passive factors are interrelated and some of them are also related to active factors, i.e. triggers. Consideration of many thematic layers in the statistical approach allows for the selection of the most appropriate geo-environmental variables. The most significant conditioning factors that affect the likelihood of landsliding include land use and land cover as well as topography. The susceptibility maps generated by the index model and many interrelated passive factors appear to be over-predicted. The logistic regression model and only independent controlling factors (slope angle, slope aspect, and lithology) are sufficient to compile a reliable susceptibility map of Gdynia. Prediction rate curve plots show that the susceptibility map produced using logistic regression exhibits the highest prediction accuracy. The results emphasize the need to check independence in the selection of instability factors and the use of an independent subset of landslides for validation. © 2021, The Author(s). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/169204
Appears in Collections: 气候变化与战略
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作者单位: Polish Geological Institute, National Research Institute, Branch of Marine Geology, 5 Koscierska St., Gdańsk, 80-328, Poland
Recommended Citation:
Małka A.. Landslide susceptibility mapping of Gdynia using geographic information system-based statistical models[J]. Natural Hazards,2021-01-01,107(1)