Identification of extreme rainfall events and disasters triggered by rain in the city of Petrópolis-RJ

Authors

DOI:

https://doi.org/10.18472/SustDeb.v14n2.2023.49463

Keywords:

extreme precipitation, Petropolis-RJ, Disasters related to precipitation, Occurrence of disasters

Abstract

The municipality of Petrópolis/RJ/Brazil is prone to extreme rainfall events that cause damage and direct and indirect economic losses. In order to verify the increase or not of these events, this study evaluates the temporal pattern of rainfall in the municipality (1976-2022), identifying whether the event that occurred in 2022 can be considered an extreme event, as well as the relationship between rainfall and impact intensity, in terms of damage and losses triggered. The accumulated rainfall over 24 hours (RX1), over 5 days (RX5), the 95th and 99th percentiles (R95 and R99), the Rainfall Anomaly Index (RAI) and trend analyses using the Mann-Kendall method, as well as loss and damage data were then calculated. The results did not indicate a trend towards an increase in precipitation extremes, although they did confirm the February 2022 event as an extreme event, which stood out as the largest within the historical series analysed. 

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Author Biographies

Sara Carolina Soares Guerra Fardin, Master’s Degree in Environmental Engineer, Professor, Instituto Federal de Educação Ciência e Tecnologia do Espírito Santo, Vitória, ES, Brazil

I am a Forestry Engineer (Federal University of Espírito Santo, 2010), with a Master's in Environmental Engineering (Federal University of Espírito Santo, 2014). CurrentlyI work as a professor at the Federal Institute of Education, Science and Technology of Espírito Santo, Vitória Campus. I've experience in Water Resources Management in urban areas, Urban Planning and risk management,  developing research on the following topics: environmental urban planning, assessment of hydro-environmental impacts and natural disasters.

Viviana Aguilar-Muñoz, PhD in Remote Sensing, Researcher, Cemaden, São José dos Campos, SP, Brazil

I am a Topographical Engineer (Universidad del Valle, Cali, Colombia, 2002); Specialist in Geographic Information Systems (UN, 2005); Master (2009) and PhD (2014) in Remote Sensing (National Institute for Space Research, INPE/MCTIC, Brazil) and a researcher in disaster risk reduction.

Leonardo Freire Dias, Master’s in Defense and Civil Security, Consultant, Thalweg Project, Niterói, RJ, Brazil

Graduated in Geography ( Federal University of Juiz de Fora, 2013). Post Graduated in Economics and Environment (Federal University of Paraná, 2014). Post Graduated in Public Management in Protection and Civil Defense (Federal University of Juiz de Fora, 2022). Master in Defense and Civil Security (Universidade Federal Fluminense, 2021) and PhD student in Natural Disasters from Universidade Estadual Paulista.

Beatriz Justen Mussi Tanus e Bastos, Geographer, Master’s Student, Fluminense Federal University, Rio de Janeiro, RJ, Brazil

Master's student in the Geochemistry Program at UFF. Geographer from the Fluminense Federal University. Undergraduate student in Geography at UFF.

Ana Paula Martins do Amaral Cunha, PhD in Meteorology, Professor, Cemaden, São José dos Campos, SP, Brazill

Graduated in Physics (Universidade Estadual Paulista Júlio de Mesquita Filho, 2004). Master in Meteorology (National Institute for Space Research, 2007). PhD in Meteorology (National Institute for Space Research, 2013). I am currently a researcher at the National Center for Monitoring and Alerting Natural Disasters (CEMADEN).

References

ACCIARI, L.; RIBEIRO, M. Risk, resilience and gender in the current Petrópolis tragedy. UN Women, 2022. Available at: https://wrd.unwomen.org/explore/insights/risk-resilience-and-gender-current-petropolis-tragedy. Accessed on: 5 aug. 2023.

ALCÂNTARA, E. et al. Deadly disasters in Southeastern South America: flash floods and landslides of February 2022 in Petrópolis, Rio de Janeiro, Nat. Hazards Earth Syst. Sci. Discuss. Available at: https://doi.org/10.5194/ nhess-2022-163, 2022.

ARAÚJO, L. M. N. et al. Avaliação da distribuição espaço-temporal histórica de eventos chuvosos no Rio de Janeiro. In: XIV WORLD WATER CONGRESS, 2011, Porto de Galinhas. Proceedings [...], 2010.

ASSUMPÇÃO, R. S. F. V. Petrópolis – um histórico de desastres sem solução? Do Plano Koeller ao Programa Cidades Resilientes. 2015. Tese (Doutorado em Ciências na área de Saúde Pública) – Escola Nacional de Saúde Pública Sérgio Arouca, Rio de Janeiro, 2015. Available at: https://www.arca.fiocruz.br/handle/icict/40233. Accessed on: 12 nov. 2022.

AVILA-DIAZ, A. et al. Assessing current and future trends of climate extremes across Brazil based on reanalyzes and earth system model projections. Climate Dynamics, v. 55, p. 1403–1426, 2020. Available at: https://doi. org/10.1007/s00382-020-05333-z.

BECK, Z. J. V. Meio ambiente e cidades resilientes: reflexões sobre o desastre em Petrópolis no ano de 2022. Revista da Emerj, v. 24, n. 2, p. 202–216. 2023.

BRASIL. Ministério do Desenvolvimento Regional. Secretaria de Proteção e Defesa Civil. Universidade Federal de Santa Catarina. Centro de Estudos e Pesquisas em Engenharia e Defesa Civil. Atlas Digital de Desastres no Brasil. Brasília: MDR, 2022. Available at: http://atlasdigital.mdr.gov.br/paginas/index.xhtml

BUNHAK, A. C. S.; WANDERLEY, H. S. Change in number of rainy days in the municipality of Visconde de Mauá, Rio de Janeiro. Journal of Biotechnology and Biodiversity, v. 8, n. 4. 2020. Available at: https://doi.org/10.20873/ jbb.uft.cemaf.v8n4.bunhak

CABRAL, V. et al. The consequences of debris flows in Brazil: a historical analysis based on recorded events in the last 100 years. Landslides, v. 20, p. 511–529, 2023. Available at: https://doi.org/10.1007/s10346-022-01984-7

CAMARINHA, P. I.; DEBORTOLI, N. S.; HIROTA, M. Índice de vulnerabilidade aos desastres naturais relacionados às secas no contexto de mudanças climáticas. Produto II: Relatório com os resultados e discussões sobre o índice de vulnerabilidade e avaliação dos impactos relacionados às secas para as diferentes regiões do Brasil. Florianópolis: WWF Brasil. 2015.

CEMADEN; IBGE. População em áreas de risco no Brasil. 2018. Available at: https://www.ibge.gov.br/ geociencias/organizacao-do-territorio/tipologias-do-territorio/21538-populacao-em-areas-de-risco-no-brasil. html?=&t=acesso-ao-produto. Accessed on: 15 nov. 2022.

COSTA, J. et al. Validação dos dados de precipitação estimados pelo Chirps para o Brasil. Revista Brasileira de Climatologia, v. 24, jan-jul. 2019. Available at: http://dx.doi.org/10.5380/abclima.v24i0.60237

COSTA, A. A. et al. Precipitation extremes over the tropical Americas under RCP4.5 and RCP8.5 climate change scenarios: results from dynamical downscaling simulations. International Journal of Climatology, p. 1–17. 2022. Available at: https://doi.org/10.1002/joc.7828.

COUTINHO, S. M. V. et al. The Nexus+ approach applied to studies of Impacts, vulnerability and adaptation to climate change in Brazil. Sustainability in Debate, [s. l.], v. 11, n. 3, p. 24–56, 2020. DOI 10.18472/SustDeb. v11n3.2020.33514.

DEBORTOLI, N. S. et al. An index of Brazil’s vulnerability to expected increases in natural flash flooding and landslide disasters in the context of climate change. Nat Hazards, v. 86, p. 557–582. 2017. DOI 10.1007/s11069- 016-2705-2.

DOURADO, F.; ARRAES, T. C.; SILVA, M. O Megadesastre da Região Serrana do Rio de Janeiro – as Causas do Evento, os Mecanismos dos Movimentos de Massa e a Distribuição Espacial dos Investimentos de Reconstrução no Pós-Desastre. Anuário do Instituto de Geociências, v. 35, n. 2, p. 43-54. 2012. Available at: http://dx.doi. org/10.11137/2012_2_43_54

FREITAS, M. A. S. Um sistema de suporte à decisão para o monitoramento de secas meteorológicas em regiões semiáridas. Revista Tecnologia, v. suplem, p. 84-95, 2005.

FUNK, C. et al. The climate hazards infrared precipitation with stations – a new environmental record for monitoring extremes. Scientific data, v. 2, n. 1, p. 1-21, 2015. Available at: https://doi.org/10.1038/sdata.2015.66

GRUBERTT, B. Seis meses após tragédia em Petrópolis, famílias retornam para áreas de risco e obras de contenção ainda não foram realizadas. G1, 15 ago. 2022. Bom Dia Rio. Available at: https://g1.globo.com/rj/rio- de-janeiro/noticia/2022/08/15/seis-meses-apos-tragedia-em-petropolis-familias-retornam-para-areas-de-risco. ghtml. Accessed on: 13 nov. 2022.

IBGE. Conselho Nacional de Estatística, Serviço Nacional de Recenseamento. Censo Demográfico de 1940. Available at: https://biblioteca.ibge.gov.br/visualizacao/periodicos/65/cd_1940_p15_rj.pdf. Accessed on: 18 nov. 2022.

IBGE. População em áreas de risco no Brasil. Rio de Janeiro: IBGE. 2018. 91 p.

IBGE. Censo Demográfico 2010. Rio de Janeiro, 2010. Available at: https://censo2010.ibge.gov.br/resultados.

html. Accessed on: 14 nov. 2022.

IBGE. Biomas e Sistema Costeiro Marinho do Brasil compatível com a escala 1:250.000. Série Relatórios Metodológicos. 2019. Available at: https://www.ibge.gov.br/apps/biomas/#/home. Accessed on: 4 nov. 2022.

IBGE. Cidades. Available at: http://cidades.ibge.gov.br/. Accessed on: 8 nov. 2022.

IPCC. Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change [FIELD, C. B. et al. (eds.)]. Cambridge University Press, Cambridge, UK, and New York, NY, USA, 2012. 582 p.

IPCC. Climate Change 2021: the physical science basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V. et al. (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, p. 3−32. 2022. DOI 10.1017/9781009157896.001.

IPCC. Climate Change 2022: impacts, adaptation, and vulnerability. Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [PÖRTNER, H.-O. et al. (eds.)]. Cambridge University Press. In Press. 2022. DOI 10.1017/9781009325844

KENDALL, M. G. Rank Correlation Measures. Ed. Charles Griffin. London. Lira, C. S. 1975.

LAHSEN, M.; RIBOT, J. Politics of attributing extreme events and disasters to climate change. Wires Climate

change, v. 13. 2022. DOI 10.1002/wcc.750

MANN, H. B. Nonparametric tests against trend. Econometrica: Journal of the econometric society, p. 245-259.

MAPBIOMAS. Mapeamento anual das áreas urbanizadas no Brasil entre 1985 e 2020. 2021. Available at: https://drive.google.com/file/d/1cZ7KoUywnDcLAkokanjxoYmNAPffsVBW/view?usp=sharing. Accessed on: 28 nov. 2022.

MORAES, O. L. L. Proposing a metric to evaluate early warning system applicable to hydrometeorological disasters in Brazil. International Journal of Disaster Risk Reduction, v. 87, 13p. 2023. Available at: https://doi.org/10.1016/j. ijdrr.2023.103579

OSCAR JÚNIOR, A. C. Precipitation Trends and Variability in River Basins in Urban Expansion Areas. Water Resour Manage, v. 35, p. 661–674, 2021. Available at: https://doi.org/10.1007/s11269-020-02749-4

PAINEL BRASILEIRO DE MUDANÇAS CLIMÁTICAS. Base científica das mudanças climáticas. Contribuição do Grupo de Trabalho 1 do Painel Brasileiro de Mudanças Climáticas ao Primeiro Relatório da Avaliação Nacional sobre Mudanças Climáticas [AMBRIZZI, T.; ARAÚJO, M. (eds.)]. COPPE. Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brasil, 464 p. 2-14. 2014.

PRABHAKAR, S. V. R. K.; SRINIVASAN, A.; SHAW, R. Climate change and local level disaster risk reduction planning: need, opportunities and challenges. Mitig Adapt Strateg Glob Change, v. 14, p. 7–33. 2009.

PREFEITURA MUNICIPAL DE PETRÓPOLIS. Plano Municipal de Redução de Risco (PMRR): 1a (Revisão), 2o, 3o, 4o e 5o Distritos – Petrópolis, RJ - Programa de Urbanização, Regularização e Integração de Assentamentos Precários – 6a Etapa Reflexão e Proposição de Estratégias de Intervenções não estruturais para a Redução do Risco. Petrópolis: Prefeitura Municipal de Petrópolis (PMP) – Secretaria de Habitação (SEH), 2017. Available at: https://sig.petropolis.rj.gov.br/cpge/Reflexoes.pdf. Accessed on: 30 oct. 2022.

ROOY, M. P. V. A rainfall anomaly index independent of time and space. Notes. Weather Bureau of South Africa, v. 14, p. 43-48, 1965.

ROZANTE, J. R. et al. Combining TRMM and Surface Observations of Precipitation: technique and validation over South America. Weather and Forecasting, v. 25, p. 885-894, 2010.

SERVIÇO GEOLÓGICO DO ESTADO DO RIO DE JANEIRO. Cartografia Geotécnica de Aptidão Urbana, 1:10.000 de Petrópolis a “CGU do DRM” – junho/2015 – Relatório Técnico. 73 p. 2015.

SILVA, S. V. C. da. et al. Modelagem bayesiana da precipitação máxima de Petrópolis (RJ) e Poços de Caldas (MG). Engenharia Sanitária e Ambiental, v. 28, 2023. Available at: https://doi.org/10.1590/S1413-415220210342

SILVA, F. P. et al. Identification of rainfall and atmospheric patterns associated with Quitandinha River flooding events in Petrópolis, Rio de Janeiro (Brazil). Nat Hazards, v. 103, p. 3745–3764, 2020. Available at: https://doi. org/10.1007/s11069-020-04153-y

STOTT, P. A. et al. Attribution of extreme weather and climate-related events. Wiley Interdisciplinary Reviews: climate change, [s. l.], v. 7, n. 1, p. 23–41, 2016. DOI 10.1002/wcc.380.

TORRES, G. P.; CARMO, L. F. R.; PALMEIRA, A. C. P. Estudo da relação entre precipitação e deslizamentos no município de Petrópolis-RJ. Revista S&G, n. 15, 2020.

VILLARINI, G. et al. Examining flood frequency distributions in the midwest U.S. Journal of the American Water Resources Association, v. 47, n. 3, p. 447-463, 2011. Available at: https://doi.org/10.1111/j.1752- 1688.2011.00540.x

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Published

2023-08-31

How to Cite

Fardin, S. C. S. G., Aguilar-Muñoz, V., Dias, L. F., Bastos, B. J. M. T. e, & Cunha, A. P. M. do A. (2023). Identification of extreme rainfall events and disasters triggered by rain in the city of Petrópolis-RJ. Sustainability in Debate, 14(2), 84–113. https://doi.org/10.18472/SustDeb.v14n2.2023.49463

Issue

Vol. 14 No. 2 (2023): Sustainability in Debate / Sustentabilidade em Debate

Section

Articles - Varia

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