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Titlebook: Landslide Risk Assessment and Mitigation in India; Proceedings of the N Haroon Sajjad,Masood Ahsan Siddiqui,Asif Conference proceedings 202

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书目名称Landslide Risk Assessment and Mitigation in India
副标题Proceedings of the N
编辑Haroon Sajjad,Masood Ahsan Siddiqui,Asif
视频video
概述Includes the latest evidence-based approach in diagnosis and management of landslides.Is supplemented with necessary figures and tables.Compares research findings with those in the existing literature
丛书名称Springer Proceedings in Earth and Environmental Sciences
图书封面Titlebook: Landslide Risk Assessment and Mitigation in India; Proceedings of the N Haroon Sajjad,Masood Ahsan Siddiqui,Asif Conference proceedings 202
描述.This book focuses on landslide hazard mapping, identification of site-specific drivers of landslide occurrence, and assessment of landslide susceptibility, vulnerability, risk and mitigation using advanced techniques and approaches. The book encompasses the use of geospatial technologies, artificial intelligence, machine learning algorithms, and advanced statistical models to explore multi-dimensionality of landslide hazard. The book is a synthesis of research papers presented at the National Conference on Landslide Risk Assessment and Mitigation in India, organized by the Department of Geography, Jamia Millia Islamia, New Delhi, India, 01–02 November 2022. The book is organized into four parts made up of 21 chapters. Part I deals with landslide hazard mapping. Part II covers landslide susceptibility mapping and assessment. Part III evaluates landslide risk. Finally, Part IV presents multi-disciplinary approach and holistic mechanism to devise landslide mitigation strategies. The chapters help better understand the intertwined physical processes, causes of landslides, potential risk factors, movement characteristics, and role of engineering and technology to minimize upcoming huma
出版日期Conference proceedings 2024
关键词Landslide risk; Landslide susceptibility; Landslide vulnerability; Landslide mitigation; Early warning s
版次1
doihttps://doi.org/10.1007/978-981-97-5485-4
isbn_softcover978-981-97-5487-8
isbn_ebook978-981-97-5485-4Series ISSN 2524-342X Series E-ISSN 2524-3438
issn_series 2524-342X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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GIS-Based Landslide Hazard Zonation Using Weighted Overlay Method (WOM) – A Case Study of National Haya, India. Landslides were mapped using high-resolution from primary as well as secondary sources. Knowledge-driven weighted overlay analysis of various influencing parameters such as elevation, geology, slope gradient, rainfall, slope curvature, Earthquake, proximity analysis (drainage, lineament,
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Slope Stability Evaluation Along National Highway – 05 from Parwanoo to Solan, Himachal Pradesh Himachal Pradesh has undergone severe landslides in the past. Intense rainfall from July to September results in intensive landslides. The road blockage problem is prevalent in this area, especially in the monsoon season. These roads serve as major transit routes for pilgrims and tourists, and play
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Slope Stability Assessment by Using Rock Mass Rating and Kinematic Analysis Along NH-5 from Kandaghake and flood etc. The present study is mainly focused on the slope stability assessment by using rock mass rating and kinematic analysis along national highway- 5 (NH-5) from Kandaghat to Waknaghat, HP, India. It is one of the important highways, which carries millions of tourists, acts as a main me
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Landslide Susceptibility Analysis in the Ramban Basin, Jammu and Kashmir: A Statistical Approach forto landslides. This region consistently faces a repetitive occurrence of landslides that result in loss of life and cause significant harm to both cultivated and non-cultivated regions, essential infrastructure, and properties. Given the need to reduce these negative effects, the creation of a lands
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A Comparative Study of Landslide Susceptibility Mapping Using Bivariate Statistical and Artificial Iradesh, India having history of number of destructive landslides. Therefore, landslide susceptibility maps (LSM) become important tool for future land use planning and infrastructure development of the area. In the present study, two quantitative methods namely weight of evidence (WoE) which is a bi
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