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Titlebook: Hurricane Risk in a Changing Climate; Jennifer M. Collins,James M. Done Book 2022 The Editor(s) (if applicable) and The Author(s), under e

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發(fā)表于 2025-3-21 19:34:37 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Hurricane Risk in a Changing Climate
編輯Jennifer M. Collins,James M. Done
視頻videohttp://file.papertrans.cn/431/430006/430006.mp4
概述Provides a perspective on hurricane risk management strategies in the built environment.Highlights the characteristics of tropical cyclone risks.A focus on new climate risk research related to hurrica
叢書名稱Hurricane Risk
圖書封面Titlebook: Hurricane Risk in a Changing Climate;  Jennifer M. Collins,James M. Done Book 2022 The Editor(s) (if applicable) and The Author(s), under e
描述How is a changing climate affecting hurricanes, and how are these changes intersecting with our changing exposure and vulnerability in ways that affect tropical cyclone risk? Crucially, how should this understanding be incorporated into risk management practice? This book takes a cross-sectoral look at how damaging tropical cyclone characteristics are changing and presents novel approaches to integrate science with risk assessment. In this new era of tropical cyclone impacts, understanding effective risk management practice in a changing climate is more important than ever..This book details the outcomes of new research focusing on climate risk related to hurricanes in a changing climate. Topics include characteristics of tropical cyclone risk, perspectives on hurricane risk management strategies in the built environment, and implications for commercial risk. Inspired by the Symposium on Hurricane Risk in a Changing Climate, this book brings together leading international academics and researchers, and provides a source reference for both risk managers and climate scientists for research on the interface between tropical cyclones, climate, and risk..8 chapters are available open ac
出版日期Book 2022
關(guān)鍵詞Climate Change Management; Meteorology; Vulnerability and natural hazards; Hurricanes in a changing cli
版次1
doihttps://doi.org/10.1007/978-3-031-08568-0
isbn_softcover978-3-031-08570-3
isbn_ebook978-3-031-08568-0Series ISSN 2662-3064 Series E-ISSN 2662-3072
issn_series 2662-3064
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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The Response of Hurricane Inland Penetration to the Nearshore Translation Speed,d the translation speed are critical components for estimating the damage potential for inland regions. By employing the modified version of the decay period and the decay distance, this study investigates the relationship between hurricane inland decay and nearshore translation speed. We find that
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Analysis of the Future Change in Frequency of Tropical Cyclone-Related Impacts Due to Compound Extressments focus on one factor rather than the compound nature of multiple forcing mechanisms. It is possible that extreme event analysis in a univariate context may underestimate the probabilities and impacts of extreme events. In this study, a framework addresses multivariate analysis of risk due to
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發(fā)表于 2025-3-22 15:11:45 | 只看該作者
Current and Future Tropical Cyclone Wind Risk in the Small Island Developing States, Developing States (SIDS) are particularly vulnerable to TCs, as they generally have limited financial resources to overcome past impacts and mitigate future risk. However, risk assessments for SIDS are scarce due to limited meteorological, exposure, and vulnerability data. In this study, we combine
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Climate Change Impacts to Hurricane-Induced Wind and Storm Surge Losses for Three Major Metropolitate. In: Reidmiller DR, Avery CW, Easterling DR, Kunkel KE, Lewis KLM, Maycock TK, Stewart BC (eds) Impacts, risks, and adaptation in the United States: fourth national climate assessment, volume II. U.S. Global Change Research Program, Washington, DC, pp 72:144. ., 2018). A key concern for private i
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Identifying Limitations when Deriving Probabilistic Views of North Atlantic Hurricane Hazard from Cinsurance industry to identify, quantify, and mitigate against as-yet-unrealised “grey-swan” catastrophic events. While useful for informing site-specific adaptation strategies, the extraction of probabilistic information remains intangible from such downside-only focused analytics. We hypothesise t
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