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Flood hazard in Hunan province of China: an economic loss analysis

机译:湖南省洪涝灾害:经济损失分析

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摘要

Natural and man-made disasters have been increasing and affecting millions of people throughout the world. Floods are the most common natural disasters affecting more people across the globe than all other natural or technological disasters and also are the most costly in terms of human hardship and economic loss. In order to explore the total economic loss, components of economic loss, and factors influencing economic loss during flooding, a retrospective study was carried out in year 2000 in areas that suffered floods in 1998 in Hunan province, China. A total of 10,722 families were investigated using a multistage sampling method. We found that the total economic loss to the 10,722 families investigated was US$ 8.925 million; translating into an average economic loss of US$ 832.45 per family and US$ 216.75 per person. Economic loss related to property loss, income loss, and increased medical cost accounted for 57.38%, 40.00%, and 2.62% of the total economic loss, respectively. Economic loss was significantly related to a family’s pre-flood income; duration of the flood; severity of flood; and type of flood. River floods yielded the highest economic loss and drainage problem floods yielded the lowest loss. We recommended that flood-related preventive measures should focus on the prevention of river floods and shortening the duration of floods with the view of significantly minimizing economic losses associated with floods.
机译:自然和人为灾难不断增加,并影响着全世界数百万人。洪灾是最普遍的自然灾害,比所有其他自然灾害或技术灾害影响全球更多的人,而且就人类的苦难和经济损失而言,洪灾代价最高。为了探讨洪水期间的总经济损失,经济损失的组成部分以及影响洪水造成的经济损失的因素,我们于2000年对1998年湖南省遭受洪灾的地区进行了回顾性研究。使用多阶段抽样方法对总共10,722个家庭进行了调查。我们发现,调查的10,722个家庭的总经济损失为892.5万美元;这意味着每个家庭平均损失832.45美元,每人平均损失216.75美元。与财产损失,收入损失和医疗费用增加有关的经济损失分别占总经济损失的57.38%,40.00%和2.62%。经济损失与家庭的水灾前收入有很大关系;洪水持续时间;洪水严重程度;和洪水的类型。河流洪水造成的经济损失最高,而排水问题洪水造成的损失最低。我们建议与洪水有关的预防措施应着重于预防河流洪水和缩短洪水持续时间,以期最大程度地减少与洪水有关的经济损失。

著录项

  • 来源
    《Natural Hazards》 |2008年第1期|65-73|共9页
  • 作者单位

    Epidemiology School of Public Health Central South University Xiangya Road 110 Changsha Hunan 410078 China;

    Epidemiology School of Public Health Central South University Xiangya Road 110 Changsha Hunan 410078 China;

    Epidemiology School of Public Health Central South University Xiangya Road 110 Changsha Hunan 410078 China;

    Epidemiology School of Public Health Central South University Xiangya Road 110 Changsha Hunan 410078 China;

    Epidemiology School of Public Health Central South University Xiangya Road 110 Changsha Hunan 410078 China;

    Epidemiology School of Public Health Central South University Xiangya Road 110 Changsha Hunan 410078 China;

    Epidemiology School of Public Health Central South University Xiangya Road 110 Changsha Hunan 410078 China;

    Epidemiology School of Public Health Central South University Xiangya Road 110 Changsha Hunan 410078 China;

    Epidemiology School of Public Health Central South University Xiangya Road 110 Changsha Hunan 410078 China;

    Epidemiology School of Public Health Central South University Xiangya Road 110 Changsha Hunan 410078 China;

    Epidemiology School of Public Health Central South University Xiangya Road 110 Changsha Hunan 410078 China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Flood disaster; Economic loss; Retrospective study; Robust multiple linear regression analysis; China;

    机译:洪灾;经济损失;回顾性研究;稳健多元线性回归分析;中国;

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