Identification of landslide susceptibility zones in Gish River basin, West Bengal, India

被引:40
作者
Basu, Tirthankar [1 ]
Pal, Swades [1 ]
机构
[1] Univ Gour Banga, Dept Geog, Malda 732103, W Bengal, India
关键词
Landslide susceptibility; logistic regression; responsible factors' cluster; model validation and ROC curve; ANALYTICAL HIERARCHY PROCESS; ARTIFICIAL NEURAL-NETWORK; LOGISTIC-REGRESSION; TURKEY; MODEL; CATCHMENT; BIVARIATE; MALAYSIA; ISLAND; AREAS;
D O I
10.1080/17499518.2017.1343482
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
The occurrence of landslide in the hilly region of Darjeeling during monsoon season is a matter of serious concern. Every year this natural hazard damages the major roads at several places and thus disrupts the transport and communication system in this region. This paper tries to prepare a landslide susceptibility zone (LSZ) map for the Gish River basin. A total number of 16 spatial parameters have been taken for this study and these are categorised under six factor clusters or groups for example, triggering factors, protective factor, lithological factors, morphometric factors, hydrological factors and anthropogenic factors. The LSZ map is prepared by integrating all the parameters adopting the weighting base as logistic regression. The landslide susceptibility map shows that nearly 9.11% of the area falls under the very high landslide-susceptible zone while 40.28% of the area of the total basin lies under the very low landslide-susceptible zone. The landslide-susceptible model is validated through the receiver operating characteristic curve. This curve shows 86% success rate in defining landslide-susceptible zones and 83.40% prediction rate for the occurrence of landslides. The spatial relationship between the landslide susceptibility model and other factors' groups shows that the morphometric factors' cluster (mainly slope) is the focalone for the determination of landslide-susceptible zone.
引用
收藏
页码:14 / 28
页数:15
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