IMHE OpenIR  > Journal of Mountain Science  > Journal of Mountain Science-2017  > Vol14 No.11
Evaluating effectiveness of frequency ratio, fuzzy logic and logistic regression models in assessing landslide susceptibility: a case from Rudraprayag district, India
Mehebub SAHANA; Haroon SAJJAD
Corresponding AuthorHaroon SAJJAD
2017-11
Source PublicationJournal of Mountain Science
ISSN1672-6316
Volume14Issue:11Pages:2150-2167
Subtype期刊论文
AbstractRudraprayag in Garhwal Himalayan division is one of the most vulnerable districts to landslides in India. Heavy rainfall, steep slope and developmental activities are important factors for the occurrence of landslides in the district. Therefore, specific assessment of landslide susceptibility and its accuracy at regional level is essential for disaster management and proper land use planning. The article evaluates effectiveness of frequency ratio, fuzzy logic and logistic regression models for assessing landslide susceptibility in Rudraprayag district of Uttarakhand state, India. A landslide inventory map was prepared and verified by field data. Fourteen landslide parameters and generated inventory map were utilized to prepare landslide susceptibility maps through frequency ratio, fuzzy logic and logistic regression models. Landslide susceptibility maps generated through these models were classified into very high, high, medium, low and very low categories using natural breaks classification. Receiver operating characteristics (ROC) curve, spatially agreed area approach and seed cell area index (SCAI) method were used to validate the landslide models. Validation results revealed that fuzzy logic model was found to be more effective in assessing landslide susceptibility in the study area. The landslide susceptibility map generated through fuzzy logic model can be best utilized for landslide disaster management and effective land use planning.
KeywordLandslide Susceptibility Frequency Ratio Logistic Regression Natural Breaks Classification Remote Sensing Geographic Information System
DOIhttps://doi.org/10.1007/s11629-017-4404-1
Indexed BySCI
Language英语
Citation statistics
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/19187
CollectionJournal of Mountain Science_Journal of Mountain Science-2017_Vol14 No.11
Recommended Citation
GB/T 7714
Mehebub SAHANA,Haroon SAJJAD. Evaluating effectiveness of frequency ratio, fuzzy logic and logistic regression models in assessing landslide susceptibility: a case from Rudraprayag district, India[J]. Journal of Mountain Science,2017,14(11):2150-2167.
APA Mehebub SAHANA,&Haroon SAJJAD.(2017).Evaluating effectiveness of frequency ratio, fuzzy logic and logistic regression models in assessing landslide susceptibility: a case from Rudraprayag district, India.Journal of Mountain Science,14(11),2150-2167.
MLA Mehebub SAHANA,et al."Evaluating effectiveness of frequency ratio, fuzzy logic and logistic regression models in assessing landslide susceptibility: a case from Rudraprayag district, India".Journal of Mountain Science 14.11(2017):2150-2167.
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