Global Multihazard Total Economic Loss Risk Deciles

The Global Multihazard Total Economic Loss Risk Deciles is a 2.5 minute grid of global multihazard total economic loss risks. First, for each of the considered hazards (cyclones, droughts, earthquakes, floods, landslides, and volcanoes), subnational distributions of Gross Domestic Product (GDP) are computed using a methodology developed from Sachs et al. (2003). Where applicable, the contributions of subnational units to national GDP estimates, the contribution ratio, are determined using data of varied origin. World Bank Development Indicators are substituted for GDP estimates of varied origin and the subnational GDP is estimated using the fore mentioned contribution ratios. A subnational, per capita GDP is derived and a final GDP estimate per grid cell is made based on grid cell population density. A raw, total economic loss is computed per grid cell using a regional economic loss rate derived from EM-DAT records. To more accurately reflect the confidence surrounding the economic loss estimate, the range of losses are classified into deciles, 10 classes of an approximately equal number of grid cells. A multihazard index is generated by summing the top three deciles of the individual hazards. This data set is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR), International Bank for Reconstruction and Development/The World Bank, and Columbia University Center for International Earth Science Information Network (CIESIN).
To identify areas of the world that are at greater risk of multihazard total economic loss.

全球多灾种总经济损失风险十分位数据集是分辨率为2.5弧分的全球多灾种总经济损失风险网格数据。首先，针对所考量的各类灾害（气旋、干旱、地震、洪涝、滑坡与火山活动），采用Sachs等（2003）提出的方法，计算各行政分区的国内生产总值（Gross Domestic Product, GDP）分布。在适用场景下，通过多源数据确定各分区对全国GDP估算的贡献比例。针对多源来源的GDP估算数据，采用世界银行发展指标作为替代值，并通过前述贡献比例估算分区GDP。由此推导出分区人均GDP，并基于网格单元的人口密度，计算得到每个网格单元的最终GDP估算值。利用源自EM-DAT记录的区域经济损失率，计算每个网格单元的原始总经济损失。为更精准地反映经济损失估算结果的置信水平，将损失范围划分为十分位——即包含近似相等数量网格单元的10个等级。通过对单个灾害的前3个十分位等级求和，生成多灾种风险指数。本数据集由哥伦比亚大学灾害与风险研究中心（CHRR）、国际复兴开发银行/世界银行以及哥伦比亚大学国际地球科学信息网络中心（CIESIN）合作完成。本数据集旨在识别全球范围内多灾种总经济损失风险更高的区域。