05345nam 22008535 450 991029945520332120200702180848.0981-287-146-210.1007/978-981-287-146-6(CKB)3710000000277961(EBL)1966909(OCoLC)894893488(SSID)ssj0001386180(PQKBManifestationID)11798983(PQKBTitleCode)TC0001386180(PQKBWorkID)11373882(PQKB)11117144(DE-He213)978-981-287-146-6(MiAaPQ)EBC1966909(PPN)183093909(EXLCZ)99371000000027796120141107d2015 u| 0engur|n|---|||||txtccrSemi-quantitative Approaches for Landslide Assessment and Prediction /by Sujit Mandal, Ramkrishna Maiti1st ed. 2015.Singapore :Springer Singapore :Imprint: Springer,2015.1 online resource (300 p.)Springer Natural Hazards,2365-0656Description based upon print version of record.981-287-145-4 Includes bibliographical references at the end of each chapters and index.Introduction -- Geo-spatial Variability Geomorphic Parameters and Slope Instability -- Hydrologic Parameters and Slope Instability -- Surface Run-off, Soil Erosion and Slope Instability -- Geomorphic threshold Landslide -- Stability Model and Landslide Susceptibility Using Geo-technical Properties of Soil -- Application of Analytical Hierarchy Process (AHP)&Frequency Ratio (FR) in Assessing Landslide Susceptibility and Risk -- Landslide Mitigation.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 Shivkhola 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.Springer Natural Hazards,2365-0656Natural disastersEngineering geologyEngineering—GeologyFoundationsHydraulicsEnvironmental monitoringEnvironmental sciencesComputer simulationNatural Hazardshttps://scigraph.springernature.com/ontologies/product-market-codes/G32000Geoengineering, Foundations, Hydraulicshttps://scigraph.springernature.com/ontologies/product-market-codes/T23020Monitoring/Environmental Analysishttps://scigraph.springernature.com/ontologies/product-market-codes/U1400XMath. Appl. in Environmental Sciencehttps://scigraph.springernature.com/ontologies/product-market-codes/U24005Simulation and Modelinghttps://scigraph.springernature.com/ontologies/product-market-codes/I19000Natural disasters.Engineering geology.Engineering—Geology.Foundations.Hydraulics.Environmental monitoring.Environmental sciences.Computer simulation.Natural Hazards.Geoengineering, Foundations, Hydraulics.Monitoring/Environmental Analysis.Math. Appl. in Environmental Science.Simulation and Modeling.003.3333.7363.706355Mandal Sujitauthttp://id.loc.gov/vocabulary/relators/aut929728Maiti Ramkrishnaauthttp://id.loc.gov/vocabulary/relators/autBOOK9910299455203321Semi-quantitative Approaches for Landslide Assessment and Prediction2519431UNINA