Integrated Disaster Science and Management: Global Case Studies in Mitigation and Recovery 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. Edited by global experts in disaster management and engineering, the book offers case studies that focus on the critical phases of disaster management. Identifies advanced techniques and models based on natural disaster science for forecasting disasters and analyzing risk Offers a holistic approach to the problem of disaster management, including preparation, recovery, and resilience Includes coverage of social, economic, and environmental impacts on disasters
This timely Handbook is based on the principle that disasters are social constructions and focuses on social science disaster research. It provides an interdisciplinary approach to disasters with theoretical, methodological, and practical applications. Attention is given to conceptual issues dealing with the concept "disaster" and to methodological issues relating to research on disasters. These include Geographic Information Systems as a useful research tool and its implications for future research. This seminal work is the first interdisciplinary collection of disaster research as it stands now while outlining how the field will continue to grow.
Disasters undermine societal well-being, causing loss of lives and damage to social and economic infrastructures. Disaster resilience is central to achieving the 2030 Sustainable Development Goals, especially in regions where extreme inequality combines with the increasing frequency and intensity of natural disasters. Disaster risk reduction and resilience requires participation of wide array of stakeholders ranging from academicians to policy makers to disaster managers. Disaster Resilient Cities: Adaptation for Sustainable Development offers evidence-based, problem-solving techniques from social, natural, engineering and other disciplinary perspectives. It connects data, research, conceptual work with practical cases on disaster risk management, capturing the multi-sectoral aspects of disaster resilience, adaptation strategy and sustainability. The book links disaster risk management with sustainable development under a common umbrella, showing that effective disaster resilience strategies and practices lead to achieving broader sustainable development goals. Provides foundational knowledge on integrated disaster risk reduction and management to show how resilience and its associated concept such as adaptive and transformative strategies can foster sustainable development Brings together disaster risk reduction and resilience scientists, policy-makers and practitioners from different disciplines Case studies on disaster risk management from natural science, social science, engineering and other relevant disciplinary perspectives
This is the first English language book to systematically introduce basic theories, methods and applications of disaster risk science from the angle of different subjects including disaster science, emergency technology and risk management. Viewed from basic theories, disaster risk science consists of disaster system, formation mechanism and process, covering 3 chapters in this book. From the perspective of technical methods, disaster risk science includes measurement and assessment of disasters, mapping and zoning of disaster risk, covering 4 chapters in this book. From the angle of application practices, disaster risk science contains disaster management, emergency response and integrated disaster risk paradigm, covering 3 chapters in the book. The book can be a good reference for researchers, students, and practitioners in the field of disaster risk science and natural disaster risk management for more actively participating in and supporting the development of "disaster risk science".
Multi-Criteria Decision-Making (MCDM) includes methods and tools for modeling and solving complex problems. MCDM has become popular in the production and service sectors to improve the quality of service, reduce costs, and make people more prosperous. This book illustrates applications through case studies focused on disaster management. With a presentation of both Multi-Attribute Decision-Making (MADM) and Multi-Objective Decision-Making (MODM) models, this is the first book to merge these methods and tools with disaster management. This book raises awareness for society and decision-makers on how to measure readiness and what necessary preventive measures need to be taken. It offers models and case studies that can be easily adapted to solve complex problems and find solutions in other fields. Multi-Criteria Decision Analysis: Case Studies in Disaster Management will offer new insights to researchers working in the areas of industrial engineering, systems engineering, healthcare systems, operations research, mathematics, business, computer science, and disaster management, and, hopefully, the book will also stimulate further work in MCDM.
This book reports on original research and practical findings fostering sustainable and smart urban mobility transformation. Gathering contributions presented at the 6th Conference on Sustainable Urban Mobility, held from August 31 to September 2, 2022, on Skiathos Island, Greece, it covers topics relating to electric and clean energy, intelligent technologies and automation, green travel modes, and transport safety. It highlights solutions for inclusive transportation, sustainable and resilient supply chains, and describes novel strategies for urban planning and innovative transport infrastructure. This book offers extensive information to academicians, researchers, practitioners and decision makers working on effective strategies to transform urban mobility in a sustainable and equitable way.
With an increasing need for experts to provide solutions to complex disaster scenarios and related management issues across the globe, universities and governments are finding it highly relevant to introduce courses on disaster management. Disaster management education could help in disaster mitigation and could save several lives, as well as assets. Written in simple language by disaster professionals, most of whom have dedicated their entire careers to disaster management, this book will be an important textbook for graduate and postgraduate research students. It provides the history of disaster management, especially governance issues and scientific and technological development in the areas of disasters including recovery processes, which have drastically reduced the loss of lives. This book not only unfolds the process of evolution of disaster management and challenges faced by experts in the field, but also suggests various ways in which we can build a resilient country.
Sundarbans, a UNESCO heritage site, is the world’s largest single chunk of mangroves distributed on the Indian and Bangladesh coasts. The mangroves and associated ecosystems are one of the most fertile ecosystems of the earth. Sundarbans Mangrove Systems: A Geo-Informatics Approach portrays different perspectives of studying Sundarbans and mangroves using geospatial analysis. This book highlights the major issues with the Sundarbans mangrove forest, its future conservation strategies and its ecological importance using geo-informatics technology. It explains the usage of remote sensing data for providing information about the present state of mangroves and their tropic status, including assessment in terms of extent, density of community, condition, diversity, identifying potential habitats and heterogeneity. Furthermore, it discusses the use of hyperspectral remote sensing data for species level classification of mangroves, community zonation for biodiversity assessment and for preparing management plans for conservation. KEY FEATURES Exclusively covers the ecological state of Sundarbans (mangrove systems) through geo-informatic studies Describes the application of a combination of geomorphological, biogeochemical and remote sensing methods to the analysis of temporal changes Includes environmental factors affecting the health and decline of mangroves Covers biodiversity and ecological controls in mangroves ecosystems Discusses a remote sensing approach for tropical forested island and mangroves mapping This book is aimed at graduate students and researchers in environmental sciences, ecology, marine sciences, biology, geosciences and GIS/remote sensing areas.
The text offers a comprehensive and unique perspective on disaster risk associated with natural hazards. It covers a wide range of topics, reflecting the most recent debates but also older and pioneering discussions in the academic field of disaster studies as well as in the policy and practical areas of disaster risk reduction (DRR). This book will be of particular interest to undergraduate students studying geography and environmental studies/science. It will also be of relevance to students/professionals from a wide range of social and physical science disciplines, including public health and public policy, sociology, anthropology, political science and geology.
Emerging Voices in Natural Hazards Research provides a synthesis of the most pressing issues in natural hazards research by new professionals. The book begins with an overview of emerging research on natural hazards, such as hurricanes, earthquakes, floods, wildfires, sea-level rise, global warming, climate change, and tornadoes, among others. Remaining sections include topics such as socially vulnerable populations and the cycles of emergency management. Emerging Voices in Natural Hazards Research is intended to serve as a consolidated resource for academics, students, and researchers to learn about the most pressing issues in natural hazard research today. Provides a platform for readers to keep up-to-date with the interdisciplinary research that new professionals are producing Covers the multidisciplinary perspectives of the hazards and disasters field Includes international perspectives from new professionals around the world, including developing countries
This two-volume set (CCIS 1045 and CCIS 1046) constitutes the refereed proceedings of the Third International Conference on Advances in Computing and Data Sciences, ICACDS 2019, held in Ghaziabad, India, in April 2019. The 112 full papers were carefully reviewed and selected from 621 submissions. The papers are centered around topics like advanced computing, data sciences, distributed systems organizing principles, development frameworks and environments, software verification and validation, computational complexity and cryptography, machine learning theory, database theory, probabilistic representations.
