LEADER 04321nam 22006735 450 001 9910742484403321 005 20230826195205.0 010 $a981-9939-55-0 024 7 $a10.1007/978-981-99-3955-8 035 $a(MiAaPQ)EBC30721662 035 $a(Au-PeEL)EBL30721662 035 $a(DE-He213)978-981-99-3955-8 035 $a(PPN)272260576 035 $a(CKB)28062198500041 035 $a(EXLCZ)9928062198500041 100 $a20230826d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aGeohazards $eAnalysis, Modelling and Forecasting /$fedited by Sandeep, Parveen Kumar, Himanshu Mittal, Roshan Kumar 205 $a1st ed. 2023. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023. 215 $a1 online resource (201 pages) 225 1 $aAdvances in Natural and Technological Hazards Research,$x2213-6959 ;$v53 311 08$aPrint version: Sandeep Geohazards Singapore : Springer,c2023 9789819939541 327 $aRole of active tectonics in the estimation of seismic hazard of an area: A case study of western India -- Stress Scenario In The North-West Himalaya: What We Learnt From Post-Seismic Stress Changes -- The crust and upper mantle structure beneath the Bangladesh and its effects on seismic hazard -- Seismological data quality controls ? a synthesis -- Use of Geophysical techniques in Seismic Hazard Assessment and Microzonation -- Earthquake response and its implications towards the structural design codes for Himalayan and adjoining regions of India -- Liquefaction Potential Index (LPI): A Parameter to Assess Liquefaction Hazard -- Earthquake Precursory Studies Using Radon Time Series Data in Taiwan: An Overview -- Spatial prediction of earthquake-induced landslide susceptible zones - A case study from Indian Himalaya -- Tsunamis in the past and recent years over Indian coasts: A review -- Instrumentation of India?s First Regional Earthquake Early Warning System and Site Characterization of its Stations -- Overview of Artificial Intelligence (AI) and Machine Learning (ML) in Seismology. . 330 $aThis book presents a comprehensive analysis of diverse aspects of geohazards. The growing vulnerability and exposure to failures in risk reduction and policy-making increases the severity of geohazard impacts by many folds. Therefore, detailed geohazard analysis, modelling and forecasting are needed to reduce the impacts of extreme events. An interdisciplinary approach to hazard mitigation provides an advanced tool for risk reduction. The book thus summarizes recent modelling and analysis techniques for hazard assessment and risk mitigation. Topics discussed in the book are hazard and risk associated with earthquakes, vulnerability assessment for landslides and avalanches, the assessment of tsunami risk in coastal regions, the implementation of early warning systems to prevent catastrophic consequences, climate change risk modelling and risk communication. The convergent approach with the aspects of natural, engineering, and social sciences attracts a vast audience working to advance disaster science. This book also significantly facilitates the acquisition of policy-relevant knowledge for risk reduction, which is beneficial to the general public. 410 0$aAdvances in Natural and Technological Hazards Research,$x2213-6959 ;$v53 606 $aNatural disasters 606 $aGeophysics 606 $aGeology 606 $aArtificial intelligence 606 $aNatural Hazards 606 $aGeophysics 606 $aGeology 606 $aArtificial Intelligence 615 0$aNatural disasters. 615 0$aGeophysics. 615 0$aGeology. 615 0$aArtificial intelligence. 615 14$aNatural Hazards. 615 24$aGeophysics. 615 24$aGeology. 615 24$aArtificial Intelligence. 676 $a551 676 $a363.34 700 $aSandeep$01425541 701 $aKumar$b Parveen$01425542 701 $aMittal$b Himanshu$01425543 701 $aKumar$b Roshan$01425544 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910742484403321 996 $aGeohazards$93555964 997 $aUNINA