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This book focuses on the recent results of the research project funded by a Grant-in-Aid for Scientific Research (S) of the Japan Society for the Promotion of Science (No. 23226017) from FY 2011 to FY 2015 on an autonomous spilled oil and gas tracking buoy system and its applications to marine disaster prevention systems from a scientific point of view. This book spotlights research on marine disaster prevention systems related to incidents involving oil tankers and offshore platforms, approaching these problems from new scientific and technological perspectives. The most essential aspect of this book is the development of a deep-sea underwater robot for real-time monitoring of blowout behavior of oil and gas from the seabed and of a new type of autonomous surface vehicle for real-time tracking and monitoring of oil spill spread and drift on the sea surface using an oil sensor. The mission of these robots is to provide the simulation models for gas and oil blowouts or spilled oil drifting on the sea surface with measured data for more precision of predictions of oil and gas behavior.
Concern for environment hazards, plus the real or potential disasters they may prompt, is growing fast as populations and living standards rise. Fortunately, at the same time both the science and technology of space-based mapping and monitoring of our terrestrial environment are maturing fast. This book explores the principles and practices of environmental remote sensing, especially the techniques available for data processing, interpretation and analysis. The applicability of remotely sensed data to marine and coastal hazard monitoring and disaster assessment is described and discussed with special reference to problems endemic to he Mediterranean region, including earthquakes, vulcanicity, soil erosion and degradation, vegetation and crop damage, severe weather phenomena, marine conditions, and air and water pollution. This book will be of particular interest to graduate students, scientists and technical officers involved in environmental protection and management, and to national international relief agencies, both in the Mediterranean region itself and elsewhere.
This collection of symposium papers covers such topics as: environmental change; desertification; rainfall; erosion and geomorphological hazards; and land degradation and marine pollution. Other presentations dealt with practical applications of remote sensing and geographic information systems.
As the volume of marine big data has increased dramatically, one of the main concerns is how to fully exploit the value of such data in the development of marine economy and marine science and technology.The book covers data acquisition, feature classification, processing and applications of marine big data in evaluation and decision-making, using case studies such as storm surge and marine oil spill disaster.
Frontiers of Civil Engineering and Disaster Prevention and Control is a compilation of selected papers from The 3rd International Conference on Civil, Architecture and Disaster Prevention and Control (CADPC 2022) and focuses on the research of architecture and disaster prevention in civil engineering. The proceedings features the most cutting-edge research directions and achievements related to construction technology and prevention and control of disaster. Subjects in this proceedings include: Construction Technology Seismicity in Civil Engineering High-Rise Building Construction Disaster Preparedness and Risk Reduction Smart Post-Disaster Rescue These proceedings will promote development of civil engineering and risk reduction, resource sharing, flexibility and high efficiency. Moreover, promote scientific information interchange between scholars from the top universities, research centers and high-tech enterprises working all around the world.
This book provides comprehensive coverage of the latest advances and trends in information technology, science and engineering. Specifically, it addresses a number of broad themes, including multi-modal informatics, data mining, agent-based and multi-agent systems for health and education informatics, which inspire the development of intelligent information technologies. The contributions cover a wide range of topics such as AI applications and innovations in health and education informatics; data and knowledge management; multi-modal application management; and web/social media mining for multi-modal informatics. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals, and a useful reference guide for newcomers to the field. This book is a compilation of the papers presented in the 2021 International Conference on Multi-modal Information Analytics, held in Huhehaote, China, on April 23–24, 2021.
"Geotechnical Engineering for Disaster Mitigation and Rehabilitation" presents the latest developments and case studies in the field. All contributions to this proceedings were rigorously reviewed to cover the newest developments in disasters related to earthquakes, landslides and slopes, soil dynamics, risk assessment and management, disaster mitigation and rehabilitation, and others. The book will be a useful reference for geotechnical scientists, engineers and professionals in these areas.
Acute events of natural origin, spanning atmospheric, biological, geophysical, hydrologic, and oceanographic realms, persistently menace societies globally. Approximately 160 million people annually bear the brunt of these disasters, with certain regions facing disproportionate impacts. The lack of predictability intensifies the challenge, creating intercommunal capacity gaps and amplifying the dire consequences. Utilizing AI and Machine Learning for Natural Disaster Management provides instances of ML in predicting earthquakes. By leveraging seismic data, AI systems can analyze magnitude and patterns, providing invaluable insights to forecast earthquake occurrences and aftershocks. Similarly, the book unveils the potential of ML in simulating floods by recording and analyzing rainfall patterns from previous years. The predictive power extends to hurricanes, where data on wind speed, rainfall, temperature, and moisture converge to anticipate future occurrences, potentially saving millions in property damage.
The contents of this book consist of papers presented at the 5th International Conference on Disaster Management and Human Health: Reducing Risk, Improving Outcomes, part of a series of conferences convened to assess the potential risk from various disasters and discuss ways to prevent or alleviate damage. These latest developments, contained in this volume, have been contributed by academics and experts on public health, security and disaster management in order to exchange knowledge and experience on the way to handle the increasing risk of natural and human-made disasters. As the human population has continued to concentrate in urban areas the number of people and the value of property affected by both natural and man-produced disasters has also grown. Earthquakes, floods, hurricanes, cyclones, tornadoes and forest fires have all taken their toll, as have man-made catastrophes such as industrial spillages and terrorist attacks. The included paper cover various subject areas, including: Disaster analysis; Disaster monitoring and mitigation; Emergency preparedness; Risk mitigation; Risk and security; Resilience; Socio-economic issues; Health risk; Human factors; Multi-hazard risk assessment; Case studies; Learning from disasters and man-made disasters.