Landslide Susceptibility Zonation Mapping Using Bivariate Statistical Frequency Ratio method and GIS: A Case Study in Part of SH 37 Ghat Road, Nadugani, Panthalur Taluk, The Nilgiris

被引:10
|
作者
Saranaathan, S. E. [1 ]
Mani, S. [1 ]
Ramesh, V. [2 ]
Prasanna Venkatesh, S. [3 ]
机构
[1] SASTRA Deemed Univ, Sch Civil Engn, Thanjavur 613401, Tamil Nadu, India
[2] Jamsetji Tata Sch Disaster Studies, Tata Inst Social Sci, Ctr Geoinformat, Mumbai, Maharashtra, India
[3] Univ Madras, Sch Earth & Atmospher Sci, Dept Appl Geol, Chennai, Tamil Nadu, India
关键词
Landslide susceptibility; Remote sensing and GIS; Frequency ratio model; LOGISTIC-REGRESSION; HAZARD ZONATION; TAMIL-NADU; GEOSPATIAL APPROACH; SECTION; DISTRICT; MODELS; REGION; BASIN; AREA;
D O I
10.1007/s12524-020-01207-3
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Landslide is more universal calamity in mountain areas. It is a threat to life and socio-economy. The ghat section Calicut-Nilampur-Gudalur State Highway 37 (SH-37) comes under the Survey of India toposheet 58A/7. It is important road network to connect Calicut. The study area is covered in 6.5 km ghat section of 103/6 to 109/8 km stone on SH 37. This study was carried out to prepare landslide susceptibility zonation (LSZ) mapping on 1:50,000 scale using frequency ratio model. Seventeen parameters such as elevation, slope, slope aspect, curvature, road buffer, drainage buffer, lineament buffer, land use, geomorphology, run-off, drainage density, drainage frequency, lineament density, lineament frequency, weathering condition, soil thickness and geology were considered as landslide-inducing factors. LSZ map was organized by manipulating association between the landslide persuade factors and old landslide using this model. Study area has grouped into five levels of susceptibility groups such as very low, low, moderate, high and very high. The LSZ map was validated by the old landslide record data collected from field. The landslide inventory percentage fall in very low hazard is 1.02%, 1.03% under low-susceptibility, 7.22% in moderate-susceptibility, 39.18% present in high-susceptibility and 51.55% noticed in very high-susceptibility zone, and using these data, the 18 rock vulnerable cut slopes were identified.
引用
收藏
页码:275 / 291
页数:17
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