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This book explains to governments, decision makers and disaster professionals the potential uses of recent technologies for disaster monitoring and risk reduction based on the knowledge and experience of prominent experts/researchers in the relevant fields. It discusses the application of recent technological developments for emerging disaster risks in today's societies and deliberates on the various aspects of disaster risk reduction strategies, especially through sustainable community resilience and responses. This book consists of selected invited papers on disaster management, which focus on community resilience and responses towards disaster risk reduction based on experiences, and closely examines the coordinated research activities involving all stakeholders, especially the communities at risk. Many regions of the world and aspects of disaster risk and its management are covered. It is described how recent technologies will support better understanding and action to reduce the number and impact of disasters in future. The principal audience for this book is researchers, urban planners, policy makers, as well as students.
A comprehensive guide to managing and mitigating natural disasters Recent years have seen a surge in the number, frequency, and severity of natural disasters, with further increases expected as the climate continues to change. However, advanced computational and geospatial technologies have enabled the development of sophisticated early warning systems and techniques to predict, manage, and mitigate disasters.Techniques for Disaster Risk Management and Mitigation explores different approaches to forecasting disasters and provides guidance on mitigation and adaptation strategies. Volume highlights include: Review of current and emerging technologies for disaster prediction Different approaches to risk management and mitigation Strategies for implementing disaster plans and infrastructure improvements Guidance on integrating artificial intelligence with GIS and earth observation data Examination of the regional and global impacts of disasters under climate variability
Science and Technology in Disaster Risk Reduction in Asia: Potentials and Challenges provides both a local and global perspective on how to implement the Sendai Framework for Disaster Risk Reduction. Topics demonstrate the advancement of scientific research as it applies to early warning systems, including identifying risk and the strengthening of infrastructure for different types of hazards. Through different major disasters, it has become evident that there must be a balance between hard and soft technology and physical, process and social solutions. This book demonstrates how this has been successfully implemented in Asia, and how these applications can apply on a global basis. - Covers new research on the role of science in Disaster Risk Reduction and lessons learned when research has been applied - Utilizes case studies to outline the broader lessons learned - Focuses on the Sendai Framework, which was adopted in the Third UN World Conference in 2015
Initial priorities for U.S. participation in the International Decade for Natural Disaster Reduction, declared by the United Nations, are contained in this volume. It focuses on seven issues: hazard and risk assessment; awareness and education; mitigation; preparedness for emergency response; recovery and reconstruction; prediction and warning; learning from disasters; and U.S. participation internationally. The committee presents its philosophy of calls for broad public and private participation to reduce the toll of disasters.
Information technology (IT) has the potential to play a critical role in managing natural and human-made disasters. Damage to communications infrastructure, along with other communications problems exacerbated the difficulties in carrying out response and recovery efforts following Hurricane Katrina. To assist government planning in this area, the Congress, in the E-government Act of 2002, directed the Federal Emergency Management Agency (FEMA) to request the NRC to conduct a study on the application of IT to disaster management. This report characterizes disaster management providing a framework for considering the range and nature of information and communication needs; presents a vision of the potential for IT to improve disaster management; provides an analysis of structural, organizational, and other non-technical barriers to the acquisition, adoption, and effective use of IT in disaster; and offers an outline of a research program aimed at strengthening IT-enabled capabilities for disaster management.
"This book address the difficulties, challenges and solution in Smart Technologies for Emergency Response & Disaster Management. The chapters address different aspects of Smart Technologies for Emergency Response & Disaster Management, ranging from network technology for emergency response and disaster management, big data for emergency response and disaster management to robotics emergency response and disaster management"--
This book presents a case study-based analysis of the consequences of external interventions, critically evaluating them from community perspectives. Communities – from rural to urban, and around the world – that are experiencing disasters and changes in climatic variables can perceive the associated risks and evaluate the impacts of interventions. Accordingly, community perspectives, including their perceptions, concerns, awareness, realizations, reactions and expectations, represent a valuable resource. The case-based analysis of impacts on communities can provide a ‘means of learning’ from the experiences of others, thus expanding professionals’ knowledge base, especially regarding disaster mitigation and climate change adaptation practices in varied settings. This book offers valuable insights and lessons learned, in an effort to promote and guide innovative changes in the current planning, management and governance of human settlements, helping them face the future challenges of a changing environment.
Losses of life and property from natural disasters in the United States-and throughout the world-have been enormous and the potential for substantially greater future losses looms. It is clearly in the public interest to reduce these impacts and to encourage the development of communities that are resilient to disasters. This goal can be achieved through wise and sustained efforts involving mitigation, preparedness, response, and recovery. Implementing such efforts, particularly in the face of limited resources and competing priorities, requires accurate information that is presented in a timely and appropriate manner to facilitate informed decisions. Substantial information already exists that could be used to this end, but there are numerous obstacles to accessing this information, and methods for integrating information from a variety of sources for decision-making are presently inadequate. Implementation of an improved national or international network for making better information available in a more timely manner could substantially improve the situation. As noted in the Preface, a federal transition team is considering the issues and needs associated with implementing a global or national disaster information network as described in the report by the Disaster Information Task Force (1997). This National Research Council report was commissioned by the transition team to provide advice on how a disaster information network could best make information available to improve decision making, with the ultimate goal of reducing losses from natural disasters. The report is intended to provide the basis for a better appreciation of which types of data and information should be generated in an information program and how this information could best be disseminated to decision makers.
This book promotes a meaningful and appropriate dialogue and cross-disciplinary partnerships on Artificial Intelligence (AI) in governance and disaster management. The frequency and the cost of losses and damages due to disasters are rising every year. From wildfires to tsunamis, drought to hurricanes, floods to landslides combined with chemical, nuclear and biological disasters of epidemic proportions has increased human vulnerability and ecosystem sustainability. Life is not as it used to be and governance to manage disasters cannot be a business as usual. The quantum and proportion of responsibilities with the emergency services has increased many times to strain them beyond their human capacities. Its time that the struggling disaster management services get supported and facilitated by new technology of combining Artificial Intelligence (AI) and Machine Learning (ML) with Data Analytics Technologies (DAT)to serve people and government in disaster management. AI and ML have advanced to a state where they could be utilized for many operations in disaster risk reduction. Even though many disasters cannot be prevented and a number of them are blind natural disasters yet through an appropriate application of AI and ML quick predictions, vulnerability identification and classification of relief and rescue operations could be achieved.
There is a perennial gap between theory and practice, between academia and active professionals in the field of disaster management. This gap means that valuable lessons are not learned and people die or suffer as a result. This book opens a dialogue between theory and practice. It offers vital lessons to practitioners from scholarship on natural hazards, disaster risk management and reduction and developments studies, opening up new insights in accessible language with practical applications. It also offers to academics the insights of the enormous experience practitioners have accumulated, highlighting gaps in research and challenging assumptions and theories against the reality of experience. Disaster Management covers issues in all phases of the disaster cycle: preparedness, prevention, response and recovery. It also addresses cross-cutting issues including political, economic and social factors that influence differential vulnerability, and key areas of practice such as vulnerability mapping, early warning, infrastructure protection, emergency management, reconstruction, health care and education, and gender issues. The team of international authors combine their years of experience in research and the field to offer vital lessons for practitioners, academics and students alike.