Author : Faming Huang
Publisher : Frontiers Media SA
Page : 541 pages
File Size : 24,10 MB
Release : 2022-10-07
Category : Science
ISBN : 283250177X
Author : Faming Huang
Publisher : Frontiers Media SA
Page : 527 pages
File Size : 40,39 MB
Release : 2023-08-01
Category : Science
ISBN : 2832531024
Author : Faming Huang
Publisher : Frontiers Media SA
Page : 243 pages
File Size : 42,84 MB
Release : 2024-09-12
Category : Science
ISBN : 2832554237
This Research Topic is Volume III of a series. The previous volume can be found here: Spatial Modelling and Failure Analysis of Natural and Engineering Disasters through Data-based Methods - Volume II and Spatial Modelling and Failure Analysis of Natural and Engineering Disasters through Data-based Methods Natural and engineering disasters, which include landslides, rock fall, rainstorm, dam failure, floods, earthquakes, road and building disasters and wildfires, appear as results of the progressive or extreme evolution of climatic, tectonic and geomorphological processes and human engineering activities. It is significant to explore the failure mechanism and carry out spatial modeling of these engineering and natural disasters due to their serious harm to the safety of people's lives and property. The data-based methods, including advanced and successful remote sensing, geographic information systems, machine learning and numerical simulation techniques methods, are promising tools to analyze these complex disasters. Machine Learning models such as neurofuzzy logic, decision tree, artificial neural network, deep learning and evolutionary algorithms are characterized by their abilities to produce knowledge and discover hidden and unknown patterns and trends from large databases, whereas remote sensing and Geographic Information Systems appear as significant technology equipped with tools for data manipulation and advanced mathematical modeling. What is more, the numerical simulation can also be acknowledged as advanced technologies for discovering hidden failure mechanism of disasters. The main objective of this Research Topic is to provide a scientific forum for advancing the successful implementation of Machine Learning (ML) and numerical simulation techniques in operation rules, failure mechanism, spatial and time series prediction, susceptibility mapping, hazard assessment, vulnerability modeling, risk assessment and early warning of complex natural and engineering disasters.
Author : Yasuhide Okuyama
Publisher : Springer Science & Business Media
Page : 324 pages
File Size : 45,22 MB
Release : 2013-06-29
Category : Business & Economics
ISBN : 3540247874
This volume is dedicated to the memory of Barclay G. Jones, Professor of City and Regional Planning and Regional Science at Cornell University. Over a decade ago, Barclay took on a fledgling area of study - economic modeling of disasters - and nurtured its early development. He served as the social science program director at the National Center for Earthquake Engineering Research (NCEER), a university consortium sponsored by the National Science Foundation and the Federal Emergency Management Agency of the United States. In this capacity, Barclay shepherded and attracted a number of regional scientists to the study of disasters. He organized a conference, held in the ill-fated World Trade Center in September 1995, on "The Economic Consequences of Earthquakes: Preparing for the Unexpected. " He persistently advocated the importance of social science research in an establishment dominated by less-than-sympathetic natural scientists and engineers. In 1993, Barclay organized the first of a series of sessions on "Measuring Regional Economic Effects of Unscheduled Events" at the North American Meetings of the Regional Science Association International (RSAI). This unusual nomenclature brought attention to the challenge that disasters -largely unanticipated, often sudden, and always disorderly - pose to the regional science modeling tradition. The sessions provided an annual forum for a growing coalition of researchers, where previously the literature had been fragmentary, scattered, and episodic. Since Barclay's unexpected passing in 1997, we have continued this effort in his tradition.
Author : Yu Huang
Publisher : Springer
Page : 208 pages
File Size : 35,7 MB
Release : 2014-08-22
Category : Nature
ISBN : 3662442116
Through application of the Smoothed Particle Hydrodynamics (SPH) method, this monograph mainly focuses on large deformations and flow failure simulations of geomaterials and movement behavior, which are always involved in geo-disasters. The work covers the theoretical background, numerical techniques, code implementation issues, and many novel and interesting applications. Two-dimensional and three-dimensional SPH models in the framework of both hydrodynamics and solid mechanics are established, with detailed descriptions. The monograph also contains many appealing and practical examples of geo-disaster modeling and analysis, including the fluidized movement of flow-like landslides, lateral spread of liquefied soils, and flow slides in landfills. In the documented SPH simulations, the propagation of geo-disasters is effectively reproduced. Dynamic behaviors of geomaterials during propagation are ascertained, including sliding path, flow velocity, maximum distance reached, and distribution of deposits. In this way, the monograph presents a means for mapping hazardous areas, estimating hazard intensity, and identifying and designing appropriate protective measures.
Author : Gero Michel
Publisher : Elsevier
Page : 342 pages
File Size : 47,45 MB
Release : 2017-08-29
Category : Science
ISBN : 0128040939
Risk Modeling for Hazards and Disasters covers all major aspects of catastrophe risk modeling, from hazards through to financial analysis. It explores relevant new science in risk modeling, indirect losses, assessment of impact and consequences to insurance losses, and current changes in risk modeling practice, along with case studies. It also provides further insight into the shortcomings of current models and examines model risk and ideas to diversify risk assessment. Risk Modeling for Hazards and Disasters instructs readers on how to assess, price and then hedge the losses from natural and manmade catastrophes. This book reviews current model development and science and explains recent changes in the catastrophe modeling space, including new initiatives covering uncertainty and big data in the assessment of risk for insurance pricing and portfolio management. Edited by a leading expert in both hazards and risk, this book is authored by a global panel including major modeling vendors, modeling consulting firms, and well-known catastrophe modeling scientists. Risk Modeling for Hazards and Disasters provides important insight into how models are used to price and manage risk. Includes high profile case studies such as the Newcastle earthquake, Hurricane Andrew and Hurricane Katrina Provides crucial information on new ideas and platforms that will help address the new demands for risk management and catastrophe risk reporting Presents the theory and practice needed to know how models are created and what is and what is not important in the modeling process Covers relevant new science in risk modeling, indirect losses, assessment of impact and consequences to insurance losses, and current changes in risk modeling practice, along with case studies
Author : Biswajeet Pradhan
Publisher : Springer Nature
Page : 248 pages
File Size : 11,72 MB
Release : 2022-04-06
Category : Computers
ISBN : 3030945448
Floods and flash floods with hydro-meteorological and tropical cyclones are the some of the most devastating natural disasters causing massive damages to natural and man-made features. Flood hazards are a major threat to human life, properties (agricultural area, yield production, building and homes) and infrastructures (bridges, roads, railways, urban infrastructures, etc). Flood hazards susceptibility mapping (risk assessment) and modelling is an essential step for early warning systems, emergency services, prevention and mitigation of future environmental and social hazards and implementation of risk management strategies. Due to the lack of proper information, technology-based policies and strategies, mapping and modelling can often not be implemented to the best possible level. Geo-spatial techniques have enjoyed rising interest in recent decades among the earth environmental and social sciences research communities for their powerful ability to solve and understand various complex problems and develop novel approaches toward sustainable earth and human society. By linking geo-spatial computational intelligence techniques with societal and environmental-oriented problems, this book demonstrates geospatial technology approaches to data mining techniques, data analysis, modelling, risk assessment and visualization and management strategies in different aspects of flood hazards. We believe that a diverse group of academics, scientists, geographers, hydrologist, remote sensing and GIS expertise, environmentalists, meteorologists and computing experts with a common interest in geospatial sciences within the earth environmental sciences and humanistic and social sciences will find this book to be of great value.
Author : Hamid Reza Pourghasemi
Publisher :
Page : 311 pages
File Size : 49,4 MB
Release : 2019
Category : Data mining
ISBN : 9783319733845
"This edited volume assesses capabilities of data mining algorithms for spatial modeling of natural hazards in different countries based on a collection of essays written by experts in the field. The book is organized on different hazards including landslides, flood, forest fire, land subsidence, earthquake, and gully erosion. Chapters were peer-reviewed by recognized scholars in the field of natural hazards research. Each chapter provides an overview of the topic, methods applied, and discusses examples used. The concepts and methods are explained at a level that allows undergraduates to understand and other readers learn through examples. This edited volume is shaped and structured to provide the reader with a comprehensive overview of all covered topics. It serves as a reference for researchers from different fields including land surveying, remote sensing, cartography, GIS, geophysics, geology, natural resources, and geography. It also serves as a guide for researchers, students, organizations, and decision makers active in land use planning and hazard management"--Print version, page 4 of cover.
Author : Debarati Guha-Sapir
Publisher : Oxford University Press
Page : 341 pages
File Size : 22,90 MB
Release : 2013-05-23
Category : Business & Economics
ISBN : 0199841934
This work combines research and empirical evidence on the economic costs of disasters with theoretical approaches. It provides new insights on how to assess and manage the costs and impacts of disaster prevention, mitigation, recovery and adaption, and much more.
Author : Milan Gocić
Publisher : Springer Nature
Page : 243 pages
File Size : 20,70 MB
Release : 2020-03-12
Category : Science
ISBN : 3030393917
This book summarizes the research being pursued as part of the Erasmus+ CBHE KA2 project entitled "Development of master curricula for natural disasters risk management in Western Balkan countries” (NatRisk), which aims to educate experts on the prevention and management of natural disasters in the Western Balkan region in line with national and EU policies. The project has successfully developed and implemented master curricula and educational training in the field of natural disasters risk management, and a methodology for the identification and prevention of natural disasters. Consisting of 11 chapters, the book analyzes and discusses topics such as risk assessment tools and quality methods, the different approaches for civil-military collaboration, natural disasters risk management in Bosnia and Herzegovina, leadership models for managing crises resulting from natural disasters, natural disasters in industrial areas, natural risk management in geotechnics, flood risk modeling, adaptive neuro-fuzzy inference models for flood prediction, collapse prediction of masonry arches, an algorithm for fire truck dispatch in emergency situations, and processing drought data in a GIS environment.
