ScholarGate
助手
Process / pipelineDisaster epidemiology / loss data analysis

EM-DAT Disaster Database Analysis

EM-DAT, the Emergency Events Database maintained by the Centre for Research on the Epidemiology of Disasters (CRED) at UCLouvain, is the most widely used global compilation of disaster occurrence and impact, and its analysis is a standard empirical method in disaster studies. The database records mass disasters from 1900 to the present according to explicit entry criteria, classifies each event by a natural or technological hazard taxonomy, and captures human and economic impacts — deaths, people affected, and damage. Analyzing EM-DAT means querying these records, adjusting economic losses for inflation and exposure, normalizing human impacts by population, and examining trends and patterns across hazard types, regions, and time. Because the data carry known inclusion thresholds and reporting biases, rigorous EM-DAT analysis is as much about understanding what the database can and cannot say as about the statistics themselves.

在 MethodMind 中打开即将推出应用、比较、获取指导
工具与资源
下载幻灯片
学习与探索
视频即将推出

阅读完整方法

仅限会员

使用免费账户登录即可阅读本节。

登录

方法图谱

相关方法的邻域——选择一个节点以展开探索。

来源

  1. Delforge, D., Wathelet, V., Below, R., Lanfredi Sofia, C., Tonnelier, M., van Loenhout, J. A. F., & Speybroeck, N. (2025). EM-DAT: the Emergency Events Database. International Journal of Disaster Risk Reduction, 124, 105509. DOI: 10.1016/j.ijdrr.2025.105509
  2. United Nations Office for Disaster Risk Reduction (2015). Sendai Framework for Disaster Risk Reduction 2015-2030. UNDRR, Geneva. link

如何引用本页

ScholarGate. (2026, June 23). EM-DAT Emergency Events Database Analysis. ScholarGate. https://scholargate.app/zh/disaster-studies/em-dat-disaster-database-analysis

选用哪种方法?

将本方法与其最相近的同类并置,并排研读——本馆将书籍铺陈于案上,取舍则由您定夺。

并排比较

被引用于

ScholarGateEM-DAT Disaster Database Analysis (EM-DAT Emergency Events Database Analysis). 于 2026-06-24 检索自 https://scholargate.app/zh/disaster-studies/em-dat-disaster-database-analysis · 数据集: https://doi.org/10.5281/zenodo.20539026