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Titlebook: Reducing Disaster: Early Warning Systems For Climate Change; Ashbindu Singh,Zinta Zommers Book 2014 Springer Science+Business Media Dordre

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發(fā)表于 2025-3-21 17:31:40 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Reducing Disaster: Early Warning Systems For Climate Change
編輯Ashbindu Singh,Zinta Zommers
視頻videohttp://file.papertrans.cn/825/824543/824543.mp4
概述This book will be of interest to scientists involved in climate change, experts in international organizations donor institutions and government agencies.Will offer practical tools with which to bette
圖書封面Titlebook: Reducing Disaster: Early Warning Systems For Climate Change; Ashbindu Singh,Zinta Zommers Book 2014 Springer Science+Business Media Dordre
描述Around the world, extreme weather events are becoming increasingly "the new normal" and are expected to increase in the 21st century as a result of climate change. Extreme weather events have devastating impacts on human lives and national economies. This book examines ways to protect people from hazards using early warning systems, and includes contributions from experts from four different continents representing 14 different universities, 8 government agencies and two UN agencies. Chapters detail critical components of early warning systems, ways to identify vulnerable communities, predict hazards and deliver information. Unique satellite images illustrate the transnational impact of disasters, while case studies provide detailed examples of warning systems. With contributors from the fields of economics, ethics, meteorology, geography and biology, this book is essential reading for anyone interested in disaster risk reduction or climate change.
出版日期Book 2014
關(guān)鍵詞climate change; disasters; early warning systems
版次1
doihttps://doi.org/10.1007/978-94-017-8598-3
isbn_softcover978-94-024-0746-4
isbn_ebook978-94-017-8598-3
copyrightSpringer Science+Business Media Dordrecht 2014
The information of publication is updating

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Sandra Banholzer,James Kossin,Simon Donnerlyse. Allerdings besteht zwischen der Strukturform linearer dynamischer Modelle (dem SA) und dem Zeitreihenansatz (ZA) über die finale Form des SA ein direkter, auch empirisch nutzbarer Zusammenhang. SA und ZA sind somit keine Gegens?tze. Von gro?er Bedeutung für die empirische Anwendung ist auch, d
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Ritesh Gautamlyse. Allerdings besteht zwischen der Strukturform linearer dynamischer Modelle (dem SA) und dem Zeitreihenansatz (ZA) über die finale Form des SA ein direkter, auch empirisch nutzbarer Zusammenhang. SA und ZA sind somit keine Gegens?tze. Von gro?er Bedeutung für die empirische Anwendung ist auch, d
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J. Ryan Hogarth,Donovan Campbell,Johanna Wandellyse. Allerdings besteht zwischen der Strukturform linearer dynamischer Modelle (dem SA) und dem Zeitreihenansatz (ZA) über die finale Form des SA ein direkter, auch empirisch nutzbarer Zusammenhang. SA und ZA sind somit keine Gegens?tze. Von gro?er Bedeutung für die empirische Anwendung ist auch, d
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Lindsey M. HarrimanCole, 2007 for a more detailed analysis). We also know that it is hard to separate this stress from the social and institutional conditions within which parents raise their children. However, we want to subvert the tendency to understand maternal and parental feelings as inevitably tied up with bere
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S. H. M. FakhruddinCole, 2007 for a more detailed analysis). We also know that it is hard to separate this stress from the social and institutional conditions within which parents raise their children. However, we want to subvert the tendency to understand maternal and parental feelings as inevitably tied up with bere
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