Analysis of bi-variate statistical and multi-criteria decision-making models in landslide susceptibility mapping in lower Mandakini Valley, India

被引:0
作者
Habib Ali Mirdda
Somnath Bera
Masood Ahsan Siddiqui
Bhoop Singh
机构
[1] Jamia Millia Islamia,Department of Geography
[2] Tata Institute of Social Sciences (TISS),Centre for Geoinformatics
[3] Natural Resource Data Management System,Department of Science and Technology
来源
GeoJournal | 2020年 / 85卷
关键词
Landslide susceptibility; Frequency ratio; Analytical hierarchy process; Receiver operating characteristics; Seed cell area index;
D O I
暂无
中图分类号
学科分类号
摘要
Landslide is recurrent phenomena in the Mandakini valley of Uttarakhand, India. This study concentrates on the analysis of landslide susceptibility mapping using Frequency Ratio (FR) and Analytical Hierarchical Process (AHP) models in the lower Mandakini valley. The models are applied by integrating eleven causative factors and 160 past landslides. Both models are validated and compared using Receiver Operating Characteristics and Seed Cell Area Index method. The validation result shows that the FR model gives better success rate and prediction rate than AHP model. Seed cell index values of high and very high susceptibility classes are more in the case of the FR model than AHP model. Thus, the landslide prediction capability of the FR model is more reliable in the study area. The study will contribute to understand future landslide risk and help in disaster reduction planning in the region.
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页码:681 / 701
页数:20
相关论文
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