Abstract
Cold wave is one of the major extreme climate events which threat the life and property security in the world. This research mapped the population risk affected by cold wave at grids and national scales with calculating intensity curves of cold wave by Weibul extreme value theory and vulnerability curves of affected population by multivariate linear regression analysis. The results show that the highest temperature drop (TD) intensity mainly concentrated in: Western Siberia near Kara Sea, Central Siberia, Alaska region near Bering Sea. The top 10 countries with the highest expected annual affected populations by cold wave are China, India, United States, Russia, Pakistan, Bangladesh, Brazil, Mexico, Germany, and Egypt.
Mapping Editors: Jing’ai Wang (Key Laboratory of Regional Geography, Beijing Normal University, Beijing 100875, China) and Chunqin Zhang (School of Geography, Beijing Normal University, Beijing 100875, China).
Language Editor: Ming Wang (State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China).
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Lu, L., Wang, Z., Shi, P. (2015). Mapping Cold Wave Risk of the World. In: Shi, P., Kasperson, R. (eds) World Atlas of Natural Disaster Risk. IHDP/Future Earth-Integrated Risk Governance Project Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45430-5_10
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DOI: https://doi.org/10.1007/978-3-662-45430-5_10
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