| 书目名称 | Statistical Approaches for Landslide Susceptibility Assessment and Prediction | | 编辑 | Sujit Mandal,Subrata Mondal | | 视频video | | | 概述 | Discusses and compares statistical models to predict landslides.Evaluates geomorphic and geographic attributes used in models that are conducive to landslide occurrences.Focuses on an audience of envi | | 图书封面 |  | | 描述 | .This book focuses on the spatial distribution of landslide hazards of the Darjeeling Himalayas. Knowledge driven methods and statistical techniques such as frequency ratio model (FRM), information value model (IVM), logistic regression model (LRM), index overlay model (IOM), certainty factor model (CFM), analytical hierarchy process (AHP), artificial neural network model (ANN), and fuzzy logic have been adopted to identify landslide susceptibility. In addition, a comparison between various statistical models were made using success rate cure (SRC) and it was found that artificial neural network model (ANN), certainty factor model (CFM) and frequency ratio based fuzzy logic approach are the most reliable statistical techniques in the assessment and prediction of landslide susceptibility in the Darjeeling Himalayas. The study identified very high, high, moderate, low and very low landslide susceptibility locations to take site-specific management options as well as to ensure developmental activities in theDarjeeling Himalayas..Particular attention is given to the assessment of various geomorphic, geotectonic and geohydrologic attributes that help to understand the role of different | | 出版日期 | Book 2019 | | 关键词 | landslide modeling; Landslide Susceptibility Assessment and Prediction; Logistic multiple regression; A | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-93897-4 | | isbn_softcover | 978-3-030-06739-7 | | isbn_ebook | 978-3-319-93897-4 | | copyright | Springer International Publishing AG, part of Springer Nature 2019 |
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发表于 2025-3-21 20:03:36
