Preprints
https://doi.org/10.5194/egusphere-2025-2706
https://doi.org/10.5194/egusphere-2025-2706
01 Jul 2025
 | 01 Jul 2025
Status: this preprint is open for discussion and under review for Natural Hazards and Earth System Sciences (NHESS).

Global Disaster Risk Assessment from Emergency Events Database (2013–2023)

Qingzhao Kong and Erqi Zhu

Abstract. This paper defines an Accumulated Risk Index (ARI) to quantify regional risk levels in a global perspective utilizing Emergency Events Database (EM-DAT) from 2013 to 2023. Building on the World Risk Index (WRI) released from World Risk Report 2023, the ARI focuses more on major events caused by multiple natural hazards within 5°×5° latitude-longitude grids, and calculates their accumulative effects during the period. ARI results are presented in two forms including normalized global maps and index rankings of each grid to identify high-risk areas that warrant increased attention. To provide a data foundation for subsequent research at smaller scales, this paper integrates and supplements existing remote sensing images within high-risk areas, publishing them as an open-source 3H Dataset partitioned by grids after standardizing their formats. The unified imagery establishes a valuable resource for deeper insights and more precise analyses in future disaster risk research of developing countries.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
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Qingzhao Kong and Erqi Zhu

Status: open (until 12 Aug 2025)

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Qingzhao Kong and Erqi Zhu
Qingzhao Kong and Erqi Zhu

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Short summary
This study introduces a new way to measure disaster risk by combining country-level and local data, with a focus on recent impacts. The research aims to support fairer and more effective use of global aid and increase awareness of the growing risk from natural hazards, especially in vulnerable areas. A new open-access dataset is also shared to help future studies and encourage the use of satellite data in disaster research.
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