http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Integrating disaster science and management
global case studies in mitigation and recovery
Annotation 'Integrated Disaster Science and Management' bridges the gap between scientific research on natural disasters and the practice of disaster management. It examines natural hazards, including earthquakes, landslides and tsunamis, and uses integrated disaster management techniques, quantitative methods and big data analytics to create early warning models to mitigate impacts of these hazards and reduce the risk of disaster. It also looks at mitigation as part of the recovery process after a disaster, as in the case of the Nepal earthquake.
Cover; Title page; Copyright page; Dedication; Contents; List of Contributors; Introduction; Part I -- Assessment and Mitigation; Chapter 1 -- A Risk Index for Mitigating Earthquake Damage in Urban Structures; 1.1 -- Introduction; 1.2 -- Fault-tree analysis; 1.3 -- Methodology; 1.4 -- Case study; 1.5 -- Results; 1.6 -- Summary; References; Chapter 2 -- Importance of Geological Studies in Earthquake Hazard Assessment; 2.1 Introduction; 2.2 Identification of suspected active faults; 2.2.1 Delineation of Lineaments; 2.2.2 Regional Geomorphic Analysis; 2.2.3 Geomorphic Indices
2.2.4 Active Fault Identification in Peninsular India2.3 Reading past seismic events from geological records; 2.3.1 Timing of the Events; 2.4. On fault studies; 2.4.1 Studies from Sedimentary Terrains; 2.4.2 Studies in the Central Seismic Gap of the Himalayas; 2.4.3 Fault Studies from Crystalline Rocks; 2.4.4 Studies in Desamangalam Fault; 2.5 Off fault features; 2.5.1 Liquefaction and Related Soft Sedimentary Deformations; 2.5.2 Studies in Gangetic Plains; 2.6 Local site conditions; 2.6.1 Chandigarh Microzonation Studies; 2.7 Summary; References
Assessment of Soil Liquefaction Based on Capacity Energy Concept and Back-Propagation Neural Networks3.1 -- Introduction; 3.2 -- Bpnn methodology; 3.3 -- Evaluation criteria; 3.4 -- Development of capacity energy model using bpnn; 3.4.1 -- The Database; 3.4.2 -- BPNN Model Results; 3.4.3 -- Parameter Relative Importance; 3.4.4 -- Easy-to-Interpret ANN Model; 3.5 -- Performance comparisons; 3.6 -- Summary and conclusion; Appendix A -- Procedures for Partitioning of ANN Weights for Log(W) Model; Appendix B -- Calculation of ANN output Log(W) model; Acknowledgments; References
Chapter 4 -- Recent Earthquakes and Volcanic Activities in Kyushu Island, Japan4.1 -- Introduction; 4.2 -- Recent earthquakes in kyushu island, southwestern japan; 4.2.1 -- The 2005 West Off Fukuoka Prefecture Earthquake; 4.2.2 -- The 2016 Kumamoto Earthquake; 4.3 -- Volcanoes in kyushu island; 4.3.1 -- Unzen Volcano; 4.3.2 -- Kuju Volcano; 4.3.3 -- Monitoring and Studying Activity of Volcanoes; 4.4 -- Disaster prevention and mitigation in japan; 4.5 -- Conclusions; References; Chapter 5 -- Winter Storms; 5.1 -- Overview; 5.2 -- The significance of winter storms
5.3 -- Formation mechanism and properties of winter storms5.4 -- Mitigation; 5.4.1 -- Risk Management; 5.4.2 -- Mitigation; 5.4.2.1 -- Structured Mitigation; 5.4.2.2 -- Unstructured Mitigation; 5.4.3 -- Insurance; 5.5 -- Recovery; 5.5.1 -- Planning; 5.5.2 -- Public Information and Warning; 5.5.3 -- Operational Coordination; 5.5.4 -- Economic Recovery; 5.5.5 -- Health and Social Services; 5.5.6 -- Housing; 5.5.7 -- Infrastructure Systems; 5.5.8 -- Natural and Cultural Resources; 5.6 -- Winter storms and public health operation: mitigation and recovery; References
Chapter 6 -- Spatial Association Between Forest Fires Incidence and Socioeconomic Vulnerability in Portugal, at Municipal Level
edited by Pijush Samui, Dookie Kim, Chandan Ghosh.
Amsterdam, Netherlands : Elsevier, [2018]