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How useful and reliable are disaster databases in the context of climate and global change? A comparative case study analysis in Peru

机译:气候和全球变化背景下的灾难数据库有多么有用和可靠?秘鲁的比较案例研究分析

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Damage caused by weather- and climate-related disasters have increased over the past decades, and growing exposure and wealth have been identified as main drivers of this increase. Disaster databases are a primary tool for the analysis of disaster characteristics and trends at global or national scales, and they support disaster risk reduction and climate change adaptation. However, the quality, consistency and completeness of different disaster databases are highly variable. Even though such variation critically influences the outcome of any study, comparative analyses of different databases are still rare to date. Furthermore, there is an unequal geographic distribution of current disaster trend studies, with developing countries being underrepresented. Here, we analyze three different disaster databases in the developing-country context of Peru: a global database (Emergency Events Database: EM-DAT), a multinational Latin American database (DesInventar) and a national database (Peruvian National Information System for the Prevention of Disasters: SINPAD). The analysis is performed across three dimensions: (1) spatial scales, from local to regional (provincial) and national scale; (2) timescales, from single events to decadal trends; and (3) disaster categories and metrics, including the number of single disaster event occurrence, or people killed and affected. Results show limited changes in disaster occurrence in the Cusco and Apurímac regions in southern Peru over the past four decades but strong positive trends in people affected at the national scale. We furthermore found large variations of the disaster metrics studied over different spatial and temporal scales, depending on the disaster database analyzed. We conclude and recommend that the type, method and source of documentation should be carefully evaluated for any analysis of disaster databases; reporting criteria should be improved and documentation efforts strengthened.
机译:在过去的几十年里,天气和气候相关灾害造成的损害已经增加,并且越来越多的曝光和财富被确定为这一增加的主要驱动因素。灾难数据库是分析全球或国家规模的灾难特征和趋势的主要工具,他们支持减少灾害风险和气候变化适应。但是,不同灾难数据库的质量,一致性和完整性是高度变量的。尽管这种变异批判性地影响了任何研究的结果,但不同数据库的比较分析仍然很少见。此外,目前灾害趋势研究的地理分布不平等,发展中国家受到了不足的。在这里,我们在秘鲁的发展中国家背景下分析了三个不同的灾难数据库:全球数据库(紧急事件数据库:EM-DAT),跨国拉丁美洲数据库(Desinventar)和国家数据库(预防秘鲁国家信息系统)灾难:Sinpad)。分析跨三个维度进行:(1)空间尺度,来自当地到区域(省级)和国家规模; (2)时间尺度,从单一事件到截止趋势; (3)灾难类别和指标,包括单次灾难事件发生的数量,或人们丧生和受影响。结果在过去的四十年中显示了秘鲁南部灾难和Apurímac地区灾难发生的有限变化,但在全国范围内受到影响的强烈积极趋势。此外,我们发现在不同的空间和时间尺度上研究的灾害指标的大变化,具体取决于分析的灾难数据库。我们得出结论并建议应仔细评估文档的类型,方法和来源,以便对灾难数据库进行任何分析;报告标准应得到改善,并加强了文件的努力。

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