Literature DB >> 29936160

Flood-induced mortality across the globe: Spatiotemporal pattern and influencing factors.

Pan Hu1, Qiang Zhang1, Peijun Shi2, Bo Chen1, Jiayi Fang1.   

Abstract

Impacts of floods on human society have been drawing increasing human concerns in recent years. In this study, flood observations from EM-DAT (Emergency Events Database) and DFO (Dartmouth Flood Observatory) datasets were analyzed to investigate frequency and intensity of floods, and flood-induced mortality, flood-affected population as well during 1975-2016 across the globe. Results indicated that: (1) occurrence rate of floods, flood-induced mortality and flood-affected population were generally increasing globally. However, flood-induced mortality and flood-affected people per flood event were in slight decrease, indicating that flood-induced mortality and flood-affected people due to increased floods exceeded those by individual flood event; (2) annual variation of mortality per flood event is highly related to floods with higher intensity. Specifically, the flood frequency and flood-induced mortality are the largest in Asia, specifically in China, India, Indonesia and Philippine; while significantly increased flood-affected population and mean annual mortality was detected in China, USA and Australia; (3) tropical cyclones (TC) are closely related to flood-induced mortality in parts of the countries along the western coast of the oceans. The frequency of channel floods in these regions is the largest and large proportion of flood-induced deaths and the highest flood-induced mortality can be attributed to TC-induced flash floods; (4) Population density and GDP per unit area are in significantly positive correlation with the number of flood-related victims per unit area, number of deaths and economic losses with exception of low-income countries. However, the flood-affected population and flood-induced mortality increase with decrease of per capita GDP; while the per capita economic loss increases with the increase of per capita GDP, indicating that the higher the population density and GDP per unit for a region, the higher sensitivity of this area to flood hazards.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Flood disaster; Flood-induced mortality; Influencing factors; Spatiotemporal pattern

Mesh:

Year:  2018        PMID: 29936160     DOI: 10.1016/j.scitotenv.2018.06.197

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  7 in total

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Journal:  Environ Manage       Date:  2021-04-16       Impact factor: 3.644

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4.  An Entropic Approach to Estimating the Instability Criterion of People in Floodwaters.

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5.  Poplar's Waterlogging Resistance Modeling and Evaluating: Exploring and Perfecting the Feasibility of Machine Learning Methods in Plant Science.

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6.  Spatial pattern of the population casualty rate caused by super typhoon Lekima and quantification of the interactive effects of potential impact factors.

Authors:  Xiangxue Zhang; Juan Nie; Changxiu Cheng; Chengdong Xu; Xiaojun Xu; Bin Yan
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7.  Differential Mental Health Impact Six Months After Extensive River Flooding in Rural Australia: A Cross-Sectional Analysis Through an Equity Lens.

Authors:  Veronica Matthews; Jo Longman; Helen L Berry; Megan Passey; James Bennett-Levy; Geoffrey G Morgan; Sabrina Pit; Margaret Rolfe; Ross S Bailie
Journal:  Front Public Health       Date:  2019-12-06
  7 in total

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