KMS Institute of Mountain Hazards and Environment,CAS
| 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 Author | Haroon SAJJAD |
| 2017-11 | |
| Source Publication | Journal of Mountain Science
 |
| ISSN | 1672-6316 |
| Volume | 14Issue:11Pages:2150-2167 |
| Subtype | 期刊论文 |
| Abstract | Rudraprayag 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. |
| Keyword | Landslide Susceptibility Frequency Ratio Logistic Regression Natural Breaks Classification Remote Sensing Geographic Information System |
| DOI | https://doi.org/10.1007/s11629-017-4404-1 |
| Indexed By | SCI |
| Language | 英语 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.imde.ac.cn/handle/131551/19187 |
| Collection | Journal 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. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| 2.pdf（7143KB） | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | View Application Full Text | |
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