Authors:
- Discusses case studies to elaborate on the introduced model
- Elaborates the role of land, water and soil in landslide phenomena
- Provides knowledge and understanding about the causes and consequences of landslides, as well as suitable methods to mitigate landslips
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Natural Hazards (SPRINGERNAT)
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Table of contents (8 chapters)
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Front Matter
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Back Matter
About this book
In the present authors attempted to have a clear insight into the interworking of geotectonic, geomorphic, hydrologic and anthropogenic factors leading to landslide in the Shiv khola Watershed, the most worst affected region of Darjiling Himalaya. This book includes the parameters responsible for landslide events in mountainous areas. It provides knowledge and understanding to the local people, planners, and policy makers about the causes and consequences of landslides as well as provides a suitable method to mitigate the landslips. The book deals with the role of land, water and soil in landslide phenomena. These three attributes have been described in terms of critical rainfall, critical slope, critical height and changes and development of drainage network in landslides. Mitigations and site-specific management options are evaluated considering the roles of local govt., community and other organizations in both pre-slide and post-slide periods. Various scientific methods have been used to assess the landslides that will bring about tremendous help to researchers in the field. In particular, Researchers in Mountain Geomorphology and Geological and Geographical Society will get tremendous help from some topics such as 1-D slope stability model, SCS Curve Number Technique, Assessment of morphological parameters, application of RS & GIS, Application of Analytical Hierarchy Process. Semi-quantitative approach is followed for understanding spatial distribution of cohesion, friction angle slope, lithology and lineaments, drainage, upslope contributing area, land use and land cover types etc. This book also reveals some techniques and models for initiating slope instability.
Authors and Affiliations
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Department of Geography, Raja N. L. Khan Women’s College, Paschim Medinipur 721102, West Bengal, India
Sujit Mandal
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Ramkrishna Maiti, Department of Geography and Environment Management, Vidyasagar University, Paschim Medinipur 721102, West Bengal, India
Ramkrishna Maiti
About the authors
Dr. Sujit Mandal is an Assistant Professor in the Department of Geography at Raja N.L. Khan Women’s College, Midnapore, West Bengal, India. He has worked in the area of Applied Geomorphology consisting Hazards, Risk and related Community Responses. He has over 20 publications in various journals. He is currently a principal investigator of research projects funded by the University Grant Commission.
Dr. Ramkrishna Maiti is an Associate Professor in the Department of Geography and Environment Management at Vidyasagar University, West Bengal, India. His significant contributions have been in the area of Geomorphology, Hydrology, Environment, Ecology and Sociology. He heads several research projects funded by the UGC and ICSSR. He had over 60 publications to his credit.
Bibliographic Information
Book Title: Semi-quantitative Approaches for Landslide Assessment and Prediction
Authors: Sujit Mandal, Ramkrishna Maiti
Series Title: Springer Natural Hazards
DOI: https://doi.org/10.1007/978-981-287-146-6
Publisher: Springer Singapore
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: Springer Science+Business Media Singapore 2015
Hardcover ISBN: 978-981-287-145-9Published: 26 November 2014
Softcover ISBN: 978-981-10-1371-3Published: 23 August 2016
eBook ISBN: 978-981-287-146-6Published: 07 November 2014
Series ISSN: 2365-0656
Series E-ISSN: 2365-0664
Edition Number: 1
Number of Pages: XVII, 292
Number of Illustrations: 63 b/w illustrations, 34 illustrations in colour
Topics: Natural Hazards, Geoengineering, Foundations, Hydraulics, Monitoring/Environmental Analysis, Math. Appl. in Environmental Science, Simulation and Modeling