Zahran Sammy, Brody Samuel D, Peacock Walter Gillis, Vedlitz Arnold, Grover Himanshu
Department of Sociology, Colorado State University, United States.
Disasters. 2008 Dec;32(4):537-60. doi: 10.1111/j.1467-7717.2008.01054.x. Epub 2008 Apr 24.
Studies on the impacts of hurricanes, tropical storms, and tornados indicate that poor communities of colour suffer disproportionately in human death and injury.(2) Few quantitative studies have been conducted on the degree to which flood events affect socially vulnerable populations. We address this research void by analysing 832 countywide flood events in Texas from 1997-2001. Specifically, we examine whether geographic localities characterised by high percentages of socially vulnerable populations experience significantly more casualties due to flood events, adjusting for characteristics of the natural and built environment. Zero-inflated negative binomial regression models indicate that the odds of a flood casualty increase with the level of precipitation on the day of a flood event, flood duration, property damage caused by the flood, population density, and the presence of socially vulnerable populations. Odds decrease with the number of dams, the level of precipitation on the day before a recorded flood event, and the extent to which localities have enacted flood mitigation strategies. The study concludes with comments on hazard-resilient communities and protection of casualty-prone populations.
关于飓风、热带风暴和龙卷风影响的研究表明,贫困的有色人种社区在人员伤亡方面遭受的影响尤为严重。很少有定量研究探讨洪水事件对社会弱势群体的影响程度。我们通过分析1997年至2001年德克萨斯州832次县级洪水事件来填补这一研究空白。具体而言,我们研究以高比例社会弱势群体为特征的地理区域是否因洪水事件而遭受显著更多的人员伤亡,并对自然和建成环境的特征进行了调整。零膨胀负二项回归模型表明,洪水造成人员伤亡的几率会随着洪水发生当天的降水量、洪水持续时间、洪水造成的财产损失、人口密度以及社会弱势群体的存在而增加。几率会随着水坝数量、记录的洪水事件前一天的降水量以及当地实施洪水缓解策略的程度而降低。该研究最后对具有灾害抵御能力的社区以及易伤亡人群的保护进行了评论。