{"title":"Probabilistic seismic risk assessment of Africa","authors":"Nicole Paul , Vitor Silva","doi":"10.1016/j.ijdrr.2025.105303","DOIUrl":null,"url":null,"abstract":"<div><div>Several destructive earthquakes have occurred throughout the African continent over the past century. However, few comprehensive seismic risk models exist for the region. This study presents a probabilistic earthquake loss model for Africa, which is comprised of open model components and data sets that enable the calculation of a range of risk metrics useful for disaster risk management. Across the continent, Algeria faces the most significant predicted building damage, economic loss, population displacement, and fatality risks due to earthquakes. After Algeria, the order of highest risk countries depends on the considered risk metric, with countries such as Egypt, Morocco, and Uganda joining Algeria in the top three. When measured in relative terms, smaller countries that face disproportionate risks are highlighted, such as Djibouti, Burundi, Rwanda, and Malawi. These countries are exposed to moderate seismic hazard, but have limited evidence of earthquake-resistant design and construction practices that imply significant risk of damages in future earthquakes.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"119 ","pages":"Article 105303"},"PeriodicalIF":4.2000,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of disaster risk reduction","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S221242092500127X","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Several destructive earthquakes have occurred throughout the African continent over the past century. However, few comprehensive seismic risk models exist for the region. This study presents a probabilistic earthquake loss model for Africa, which is comprised of open model components and data sets that enable the calculation of a range of risk metrics useful for disaster risk management. Across the continent, Algeria faces the most significant predicted building damage, economic loss, population displacement, and fatality risks due to earthquakes. After Algeria, the order of highest risk countries depends on the considered risk metric, with countries such as Egypt, Morocco, and Uganda joining Algeria in the top three. When measured in relative terms, smaller countries that face disproportionate risks are highlighted, such as Djibouti, Burundi, Rwanda, and Malawi. These countries are exposed to moderate seismic hazard, but have limited evidence of earthquake-resistant design and construction practices that imply significant risk of damages in future earthquakes.
期刊介绍:
The International Journal of Disaster Risk Reduction (IJDRR) is the journal for researchers, policymakers and practitioners across diverse disciplines: earth sciences and their implications; environmental sciences; engineering; urban studies; geography; and the social sciences. IJDRR publishes fundamental and applied research, critical reviews, policy papers and case studies with a particular focus on multi-disciplinary research that aims to reduce the impact of natural, technological, social and intentional disasters. IJDRR stimulates exchange of ideas and knowledge transfer on disaster research, mitigation, adaptation, prevention and risk reduction at all geographical scales: local, national and international.
Key topics:-
-multifaceted disaster and cascading disasters
-the development of disaster risk reduction strategies and techniques
-discussion and development of effective warning and educational systems for risk management at all levels
-disasters associated with climate change
-vulnerability analysis and vulnerability trends
-emerging risks
-resilience against disasters.
The journal particularly encourages papers that approach risk from a multi-disciplinary perspective.