Minervino Aline Costa, Duarte Elisabeth Carmen
Instituto Nacional de Criminalística, Brasília, DF, Brasil,
Faculdade de Medicina, Universidade de Brasília, Brasília, DF, Brasil.
Cien Saude Colet. 2016 Mar;21(3):685-94. doi: 10.1590/1413-81232015213.19922015.
This article outlines the results of a descriptive study that analyses loss and damage caused by hydrometeorological disasters in Brazil between 2010 and 2014 using the EM DAT (global) and S2iD (national) databases. The analysis shows major differences in the total number of disaster events included in the databases (EM-DAT = 36; S2iD = 4,070) and estimated costs of loss and damage (EM-DAT - R$ 9.2 billion; S2iD - R$331.4 billion). The analysis also shows that the five states most affected by these events are Santa Catarina, Rio Grande do Sul, Minas Gerais, São Paulo and Paraná in Brazil's South and Southeast regions and that these results are consistent with the findings of other studies. The costs of disasters were highest for housing, public infrastructure works, collectively used public facilities, other public service facilities, and state health and education facilities. The costs associated with public health facilities were also high. Despite their limitations, both databases demonstrated their usefulness for determining seasonal and long-term trends and patterns, and risk areas, and thus assist decision makers in identifying areas that are most affected by and vulnerable to natural disasters.
本文概述了一项描述性研究的结果,该研究使用EM DAT(全球)和S2iD(国家)数据库分析了2010年至2014年期间巴西水文气象灾害造成的损失和破坏。分析表明,数据库中包含的灾害事件总数(EM - DAT = 36;S2iD = 4070)以及估计的损失和破坏成本(EM - DAT - 92亿雷亚尔;S2iD - 3314亿雷亚尔)存在重大差异。分析还表明,受这些事件影响最严重的五个州是巴西南部和东南部地区的圣卡塔琳娜州、南里奥格兰德州、米纳斯吉拉斯州、圣保罗州和巴拉那州,这些结果与其他研究的结果一致。灾害成本在住房、公共基础设施工程、集体使用的公共设施、其他公共服务设施以及州卫生和教育设施方面最高。与公共卫生设施相关的成本也很高。尽管存在局限性,但这两个数据库都证明了它们在确定季节性和长期趋势及模式以及风险区域方面的有用性,从而有助于决策者识别受自然灾害影响最严重和最易受影响的地区。