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Titlebook: Economic Impacts and Emergency Management of Disasters in China; Xianhua Wu,Ji Guo Book 2021 The Editor(s) (if applicable) and The Author(

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樓主: OBESE
21#
發(fā)表于 2025-3-25 05:21:50 | 只看該作者
Economic Impacts and Emergency Management of Disasters in China
22#
發(fā)表于 2025-3-25 10:58:56 | 只看該作者
Economic Impacts and Emergency Management of Disasters in China978-981-16-1319-7
23#
發(fā)表于 2025-3-25 13:17:50 | 只看該作者
Book 2021art aid policy and international aid policy for disasters...This book is an academic monograph devoted to the China’s case study. The intended readership includes academics, government officials,graduate students and people concerned about China..
24#
發(fā)表于 2025-3-25 18:17:22 | 只看該作者
https://doi.org/10.1057/9780230372016the impacts of such factors as coefficient of risk aversion and elasticity coefficient of substitution on the optimal proportion of disaster prevention and reduction expenditure. Third, through constant elasticity of sub-situation (CES) production function and ridge regression method, this paper ver
25#
發(fā)表于 2025-3-25 21:26:38 | 只看該作者
https://doi.org/10.1007/978-3-030-41441-2for the four scales, which includes a seasonal cycle of 46?days (about 1.5?months), a short cycle of 101?days (about 3.5?months), a medium cycle of 294?days (about 10?months), and a long cycle of 671?days (about 22.5?months), respectively. (3) The results are consistent in terms of season, short and
26#
發(fā)表于 2025-3-26 02:48:10 | 只看該作者
27#
發(fā)表于 2025-3-26 04:17:43 | 只看該作者
28#
發(fā)表于 2025-3-26 08:53:34 | 只看該作者
29#
發(fā)表于 2025-3-26 15:48:28 | 只看該作者
https://doi.org/10.1007/978-1-349-10170-2ere reduced by 79, 60, and 20%, respectively in Houbai Town. (2) Residential property types and their display heights in families with different income levels have similar flood-damage rate curves in mainland China and Taiwan (Su et al. 2002); (3) The loss rate reached the maximum at the depth of 3?
30#
發(fā)表于 2025-3-26 18:30:55 | 只看該作者
Andrea Isoni,Robert Sugden,Jiwei Zhengrisk management of urban rainstorm and waterlogging disasters, together with social media data, is a feasible way to obtain on-site data of disasters and carry out risk assessment of disasters. At the same time, the emergency logistics location-positioning model and algorithm can provide a reference
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