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This two-volume encyclopedia provides the science behind such heart-pumping geophysical hazards as volcanic eruptions, earthquakes, cyclones, and floods, as well as authoritative entries on notable natural disasters around the world and the agencies that help those they impact. Natural Hazards and Disasters explores the sometimes harsh effects of nature on human life. The set discusses the physical science behind specific types of hazards and disasters (such as blizzards and tsunamis), their impact on our lives, how damage is mitigated or prevented, recovery and reconstruction, and the current research and technology used for managing or even eliminating the hazards. Written by experts in the field, the set also explores a variety of extreme events from around the world, including the 2010–2011 Christchurch Earthquakes (New Zealand), the 2017–2018 Thomas Fire (United States), and the 2018 Kerala Floods (India). Also covered are the world's major international and nonprofit aid agencies, like the Salvation Army and Oxfam, that assist disaster victims.
The main focus of this important book is on civil liability regimes to compensate for ecological/environmental damage, the impact of EC decision-making on the international regime for oil pollution damage, the use of environmental funds in this respect, the economic valuation of damage to the environment from a theoretical perspective and the application of the Contingent Valuation Method in Belgium for ecological damage at sea.
This volume contains the proceedings of the 13th International Conference on Damage Assessment of Structures DAMAS 2019, 9-10 July 2019, Porto, Portugal. It presents the expertise of scientists and engineers in academia and industry in the field of damage assessment, structural health monitoring and non-destructive evaluation. The proceedings covers all research topics relevant to damage assessment of engineering structures and systems including numerical simulations, signal processing of sensor measurements and theoretical techniques as well as experimental case studies.
Although upwards of 50,000 environmental assessments (EAs) are prepared annually-compared to some 500 environmental impact statements (EISs)-the focus of U.S. National Environmental Policy Act (NEPA) regulations is on defining requirements for preparing EISs. Written by Charles Eccleston and J. Peyton Doub, who have established themselves among the
The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic. The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
This volume covers the latest results on novel methods in Risk Analysis and assessment, with applications in Biostatistics (which is providing food for thought since the first ICRAs, covering traditional areas of RA, until now), Engineering Reliability, the Environmental Sciences and Economics. The contributions, based on lectures given at the 9th International Conference on Risk Analysis (ICRA 9), at Perugia, Italy, May 2022, detail a wide variety of daily risks, building on ideas presented at previous ICRA conferences. Working within a strong theoretical framework, supporting applications, the material describes a modern extension of the traditional research of the 1980s. This book is intended for graduate students in Mathematics, Statistics, Biology, Toxicology, Medicine, Management, and Economics, as well as quantitative researchers in Risk Analysis.