Evaluating effectiveness of frequency ratio, fuzzy logic and logistic regression models in assessing landslide susceptibility: a case from Rudraprayag district, India
文献类型：期刊论文
| 作者 | Mehebub SAHANA; Haroon SAJJAD |
| 刊名 | Journal of Mountain Science
 |
| 出版日期 | 2017-11 |
| 卷号 | 14期号:11页码:2150-2167 |
| 关键词 | Landslide Susceptibility Frequency Ratio Logistic Regression Natural Breaks Classification Remote Sensing Geographic Information System |
| ISSN号 | 1672-6316 |
| DOI | https://doi.org/10.1007/s11629-017-4404-1 |
| 通讯作者 | Haroon SAJJAD |
| 文献子类 | 期刊论文 |
| 英文摘要 | 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. |
| 语种 | 英语 |
| 源URL | [http://ir.imde.ac.cn/handle/131551/19187]  |
| 专题 | Journal of Mountain Science _Journal of Mountain Science-2017_Vol14 No.11 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：成都山地灾害与环境研究所
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