Abstract
AbstractThis study aims at providing an overview of the socioeconomic consequences that debris-flow events have caused in Brazil, positioning the country in the international scenario and identifying areas where targeted actions are necessary. The analysis is conducted by calculating the debris-flow mortality rate (MR) and by using the so-called F-N plots (frequency of events that have caused N or more fatalities vs. the number of fatalities), based on a compilation of debris-flow-related disasters from 1920 to 2021. In total, 45 debris-flow events were documented in the considered period, responsible for 5771 fatalities and more than 5.5 billion USD in economic losses. The Serra do Mar Mountain Range is the main site of reported debris-flow occurrences (64.5%), followed by Serra da Mantiqueira (13.3%), and Serra Geral (13.3%). Southeast Brazil (SEB) is the region most affected by debris-flow events, due to the highest population density and the development of several cities in hilly areas, such as Petrópolis (Rio de Janeiro state) and Cubatão (São Paulo state). The debris-flow MR of SEB is higher than any other region in Brazil, pushing the national debris-flow MR upwards, and the F-N curve of SEB consolidates the region as the one with the highest risk to the phenomenon, indicating a higher probability of fatal events. The F-N plots further show that debris-flow events in Brazil represent a higher societal risk than in countries such as China, Japan and Italy. While there are differences in country size and the scale effect should be considered, these results highlight the urgent need for investments in disaster prevention and preparedness programs.
Funder
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Eberhard Karls Universität Tübingen
Publisher
Springer Science and Business Media LLC
Subject
Geotechnical Engineering and Engineering Geology
Reference90 articles.
1. Ab’Sáber AN (1991) Política de Meio Ambiente. Anais dos Seminários Temáticos: política de meio ambiente e aproveitamento do potencial hidrelétrico brasileiro. Eletrobrás, Rio de Janeiro, pp 43–54
2. Alcántara‐Ayala I (2019) Time in a bottle: challenges to disaster studies in Latin America and the Caribbean. Disasters 43(S1). https://doi.org/10.1111/disa.12325
3. Alcántara-Ayala I (2002) Geomorphology, natural hazards, vulnerability and prevention of natural disasters in developing countries. Geomorphology 47(2–4):107–124. https://doi.org/10.1016/S0169-555X(02)00083-1
4. Alvalá RS, Assis Dias M, Saito S, Stenner C, Franco C, Amadeu P, Ribeiro J, Santana RSM, Nobre C (2019) Mapping characteristics of at-risk population to disasters in the context of Brazilian early warning system. Int J Disaster Risk Reduc 41:101326. https://doi.org/10.1016/j.ijdrr.2019.101326
5. Andres N, Badoux A (2018) The Swiss flood and landslide damage database: Normalisation and trends. J Flood Risk Manag 12(S1). https://doi.org/10.1111/jfr3.12510
Cited by
13 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献