Data analysis reveals that extreme events have increased the flood inundations in the Taquari River Valley, southern Brazil

Authors

DOI:

https://doi.org/10.53805/lads.v1i1.20

Keywords:

Climate change, Sustainable Development Goals, Urban planning, Territorial management, Resilient cities

Abstract

Flood inundations represented 43.5% of the world’s deaths caused by natural disasters in 2019 and have caused uncountable damages in cities and human settlements in the last years, especially in Brazil. The dataset comprises the records of the Encantado´s pluviometric station, a municipality located beside the margin of the Taquari River in southern Brazil, which comprises the rainfall time series (n = 36,466) over 78 years, from April 1943 to December 2020. Complementary datasets also include the annual volume of precipitation per year and the level reached by the Taquari River during 44 flood inundations since 1941. The number of events is subsampled because only 32 years have the complete record of the river level. Three of the five major flood inundations at Encantado occurred after 2001, and the more severe flood recorded the maximum level of the Taquari River (20,27 meters) on July 8th, 2020. Thirty-four percent of all flood inundations in the city were recorded between 2011 and 2020. The months of July to October record 70% of all the events, but there is no record of floods in February and December throughout the data series. The human occupation of the floodplain has been fast in the last decades, and most of the urban area has a potential risk of being affected by flood inundations. Moreover, extreme rainfall events and flood events have been more frequent in the last 30 years. Therefore, this database can contribute as a starting point for developing predictive models and verifying a possible correlation of floods with extreme events and global climatic changes.

Author Biographies

Francisco Manoel Wohnrath Tognoli, Universidade do Vale do Rio dos Sinos

Geologist with a doctorate in Regional Geology from São Paulo State University (UNESP). Coordinator of the VizGEO Sci Data Lab at the University of Vale do Rio dos Sinos, Brazil. The main research interest is Quantitative Digital Geology and Geological Modeling.

Sabrina Deconti Bruski, Universidade do Vale do Rio dos Sinos

Geologist, with a bachelor´s degree from the University of Vale do Rio dos Sinos in 2021. Her academic interest includes GIS-based geological risk analysis. 

Thiago Peixoto de Araujo, A&T Geotecnia

Geologist, received the bachelor´s degree from the Rio de Janeiro Federal Rural University and the master degree from the São Paulo University (EESC-USP). Teacher at UNISINOS and technical director in the A&T Geotecnia.

References

ANA. Hidroweb 3.1.1: Séries históricas de estações. Available in: <https://www.snirh.gov.br/hidroweb/serieshistoricas>. Accessed in: 05/25/2021.

BRUSKI, S. D.; TOGNOLI, F. M. W.; ARAÚJO, T. P. Geotecnologias no contexto das cidades mais resilientes: zoneamento de áreas de risco a inundações como ferramenta de planejamento urbano. Engenharia Urbana em Debate, 1(1), 30-57, 2020.

EMDAT. OFDA/CRED International Disaster Database. Université Catholique de Louvain, Brussels, 2021. Available in: <https://ourworldindata.org/natural-disasters#natural-disasters-kill-on-average-60-000-people-per-year-and-are-responsible-for-0-1-of-global-deaths>. Accessed in: 07/05/2021.

MARCUZZO, F. F. N. Mapas e opções de divisão territorial do estado do Rio Grande do Sul por bacias hidrográficas. Congresso Brasileiro de Geologia, 49, 2018, Rio de Janeiro. Anais do 49º Congresso Brasileiro de Geologia. Porto Alegre: Sociedade Brasileira de Geologia, 2018. Available in: <http://rigeo.cprm.gov.br/jspui/bitstream/doc/19906/2/cbg2018_mapas_opcoes_poster.pdf>. Accessed in: 25/05/2021.

KUREK, R. K. M. Análise das Inundações no Vale do Taquari/RS como Subsídio à Elaboração de um Modelo de Previsão. 2016, 178p. Dissertação de Mestrado em Engenharia Civil, Centro de Tecnologia, Universidade Federal de Santa Maria, Santa Maria. Available in: <https://repositorio.ufsm.br/bitstream/handle/1/7908/KUREK%2c%20ROBERTA%20KARINNE%20MOCVA.pdf?sequence=1&isAllowed=y>. Accessed in: 25/05/2021.

OLIVEIRA, G. G. et al. Caracterização espacial das áreas suscetíveis a inundações e enxurradas na Bacia Hidrográfica do Rio Taquari-Antas. Geociências, 37(4), 849-863, 2018. DOI: https://doi.org/10.5016/geociencias.v37i4.12312.

PEIXOTO, C. A. B.; LAMBERTY, D. Setorização de áreas em alto e muito alto risco a movimentos de massa, enchentes e inundações: Encantado – Rio Grande do Sul. Ministério de Minas e Energia, 23p. 2019. Available in: <http://rigeo.cprm.gov.br/jspui/handle/doc/20097>. Accessed in: 25/05/2021.

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Published

26-07-2021

How to Cite

TOGNOLI, F. M. W.; BRUSKI, S. D. .; ARAUJO, T. P. de. Data analysis reveals that extreme events have increased the flood inundations in the Taquari River Valley, southern Brazil. Latin American Data in Science, [S. l.], v. 1, n. 1, p. 16–25, 2021. DOI: 10.53805/lads.v1i1.20. Disponível em: https://ojs.datainscience.com.br/index.php/lads/article/view/20. Acesso em: 1 mar. 2024.