Global Earthquake Total Economic Loss Risk Deciles

The Global Earthquake Total Economic Loss Risk Deciles is a 2.5 minute grid of global earthquake total economic loss risks. A process of spatially allocating Gross Domestic Product (GDP) based upon the Sachs et al. (2003) methodology is utilized. First the proportional contributions of subnational Units to their respective national GDP are determined using sources of various origin. The contribution rates are then applied to published World Bank Development Indicators to determine a GDP value for the subnational Unit. Once the national GDP has been spatially stratified into the smallest administrative Units available, GDP values for grid cells are derived using Gridded Population of the World, Version 3 (GPWv3) data population distributions. A per capita contribution value is determined within each subnational Unit, and then this value is multiplied by the population per grid cell. Once a GDP value has been determined on a per grid cell basis, then the regionally variable loss rate as derived from the historical records of EM-DAT is used to determine the total economic loss risks posed to a grid cell by earthquake hazards. The final surface does not present absolute values of total economic loss, but rather a relative decile (1-10 with increasing risk) ranking of grid cells based upon the calculated economic loss risks. 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).

全球地震总经济损失风险十等分数据集系以2.5分钟网格形式呈现的全球地震总经济损失风险分布。本数据集采用Sachs等人（2003年）提出的方法，基于空间分配国内生产总值（GDP）。首先，通过多种来源确定各地方行政单位对其所属国家GDP的贡献比例。随后，将贡献率应用于世界银行发布的开发指标，以确定各地方行政单位的GDP值。在国家GDP按最小行政单位进行空间分层后，利用《世界人口网格》第三版（GPWv3）的人口分布数据，推导出网格单元的GDP值。在每个地方行政单位内，确定人均贡献值，并将其与每个网格单元的人口数相乘。在确定每个网格单元的GDP值后，再利用从EM-DAT历史记录中获得的区域变量损失率，确定地震灾害对网格单元造成的总经济损失风险。最终表面数据不呈现绝对的总经济损失值，而是基于计算出的经济损失风险，对网格单元进行相对十等分（1-10，风险递增）的排名。该数据集是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）合作的结果。