World Atlas of Natural Disaster Risk (IHDP/Future Earth-Integrated Risk Governance Project Series)
Language: English
Pages: 368
ISBN: 3662454297
Format: PDF / Kindle (mobi) / ePub
This is the first English-language atlas to systematically introduce the environment, hazard, vulnerability and risk mapping for 11 natural disasters, i.e. earthquake, volcano, landslide, flood, storm surge, sand-dust storm, tropical cyclone, heat wave, cold wave, drought and wildfire, and risk mapping for multi-hazard disaster in the world. The above 11 hazards are assessed and mapped at grid unit, comparable-geographic unit and national unit, and the multi-hazard is assessed and mapped at grid unit and national unit. The expected annual mortality and/or affected population risks and expected annual economic loss and/or affected property risk of 11 hazards and multi-hazard of the world at national level are unprecedentedly derived and ranked. The atlas can be a good reference for researchers and students in the field of natural disaster risk management and risk governance, and enterpriser and risk manager as well to understand the global natural disaster risk.
Prof. Peijun Shi works at Beijing Normal University, China; Prof. Roger Kasperson works at Clark University, USA.
the USGS prompt assessment of global earthquakes 39 for response (Pager) system. In Proceedings of the 2nd international workshop on disaster casualties, 15–16 June, University of Cambridge, Cambridge, UK. Peduzzi, P., H. Dao, C. Herold, et al. 2009. Assessing global exposure and vulnerability towards natural hazards: The disaster risk index. Natural Hazards and Earth System Sciences 9(4): 1149–1159. United Nations Development Programme (UNDP). 2010. Human development report 2010—The real wealth
Compared to the Natural Disaster Hotspots results, the present study considers both frequency and intensity of historical volcanic eruption events. It also uses longer series of volcano mortality data since 1700s, a certain time before which the completeness of the data decreases remarkably as suggested by an earlier study (Newhall and Self 1982). Mapping Editors: Jing’ai Wang (Key Laboratory of Regional Geography, Beijing Normal University, Beijing 100875, China) and Chunqin Zhang (School of
Equatorial Guinea, Bhutan, Western Sahara, Iceland top 10 % countries are United States, China, Japan, the Netherlands, India, Germany, France, Argentina, Bangladesh, Brazil, United Kingdom, Thailand, Myanmar, Cambodia, and Canada. 4 Maps 74 J. Fang et al. Mapping Flood Risk of the World 75 76 J. Fang et al. Mapping Flood Risk of the World 77 78 J. Fang et al. Mapping Flood Risk of the World 79 80 J. Fang et al. Mapping Flood Risk of the World 81 82 J. Fang et al.
CP, NEP and NA, data from CMA-track and HURDAT are adopted respectively, and for the other 3 basins, tracks from IBTrACs are used. For some TCs, critical parameters, e.g., maximum wind speed (MWS) or radius of maximum wind (RMW), needed for wind field model are missing. In order to estimate these missing parameters, empirical regression functions between P0 and MWS, P0 and RMW are developed. In order to compute wind snapshot by every 10 minutes, the parameters (longitude, latitude, time, P0, MWS,
1,010 with wind speeds at the return period of annual expectation, 10a, 20a, 50a, and 100a are produced, based on EVT modeling output. 2.2 population and GDP are aggregated to obtain affected population and GDP at national level. 3 Results 3.1 Wind Hazard Affected Population and GDP Risks Affected Population and affected GDP in this study are defined as the population and GDP within the area of 2-min sustained winds equal or larger than Beaufort Scale 10. The 2-min sustained winds are