The 1974 Tubarão River flood, Brazil: reconstruction of the catastrophic flood

References

• Assunção VK. 2018. Memories of the flood of 1974 and the production of space in Tubarão (SC). Mercator. Fortaleza. 17:1–16. Doi: 10.4215/rm2018.e17001
   Google Scholar
• Balasch JC, Ruiz-Bellet JL, Tuset J, Oliva JM. 2010. Reconstruction of the 1874 Santa Tecla’s rainstorm in Western Catalonia (NE Spain) from floodmarks and historical accounts. Nat Hazards Earth Syst Sci. 10:2317–2325. Doi: 10.5194/nhess-10-2317-2010
   Web of Science ®Google Scholar
• Bates PD, Horritt MS, Fewtrell TJ. 2010. A simple inertial formulation of the shallow water equations for efficient two-dimensional flood inundation modelling. J Hydrol. 387:33–45. Doi: 10.1016/j.jhydrol.2010.03.027
   Web of Science ®Google Scholar
• Bigarrella JJ, Bigarrella IEK, Jost H. 1975. Catastrophic events in the Tubarão area. Boletim Paranaense de Geociências. 33:200–206.
   Google Scholar
• BlöschL G, Bierkens MFP, Chambel A, Cudennec C, Destouni G, Fiori A, et al. 2019. Twenty-three unsolved problems in hydrology – a community perspective. Hydrol Sci J. 64(10):1141–1158. Doi: 10.1080/02626667.2019.1620507
   Web of Science ®Google Scholar
• Brázdil R, Demarée GR, Kiss A, Dobrovolný P, Chromá K, Trnka M, Dolák L, Reznícková L, Zahradnícek P, Limanowka D, Jourdain S. 2019. The extreme drought of 1842 in Europe as described by both documentary data and instrumental measurements. Clim Past. 15:1861–1884. Doi: 10.5194/cp-15-1861-2019
   Web of Science ®Google Scholar
• Brázdil R, Kundzewicz ZW, Benito G. 2006. Historical hydrology for studying flood risk in Europe. Hydrol Sci J. 51(5):739–764. Special issue: Historical Hydrology. Doi: 10.1623/hysj.51.5.739. doi: 10.1623/hysj.51.5.739
   Web of Science ®Google Scholar
• Brazil. 2017. Centro Nacional de Monitoramento e Alertas de Desastres Naturais. Estudos apontam que processos costeiros/oceânicos impactam os municípios litorâneos monitorados pelo CEMADEN. Notícia veiculada em 27 de dezembro de 2017.
   Google Scholar
• Bürger K, Dostal P, Seidel J, Imbery F, Barriendos M, Mayer H, Glaser R. 2006. Hydrometeorological reconstruction of the 1824 flood event in the Neckar River basin (southwest Germany). Hydrol Sci J. 51(5):864–877. Special issue: Historical Hydrology. Doi: 10.1623/hysj.51.5.864.
   Web of Science ®Google Scholar
• Centro Universitário de Estudos e Pesquisas sobre Desastres (CEPED). Universidade Federal de Santa Catarina. Atlas brasileiro de desastres naturais: 1991 a 2012. Centro Universitário de Estudos e Pesquisas sobre Desastres. 2. ed. rev. ampl. – Florianópolis: CEPED UFSC, 2013. 168 p.
   Google Scholar
• Collischonn W, Allasia D, Silva BC, Tucci CEM. 2007. The MGB-IPH model for large-scale rainfall-runoff modelling. Hydrol Sci J. 52(5):878–897. Doi: 10.1623/hysj.52.5.878
   Web of Science ®Google Scholar
• Elleder L. 2010. Reconstruction of the 1784 flood hydrograph for the Vltava River in Prague, Czech Republic. Global Planet Change. 70(1-4):117–124. Doi: 10.1016/j.gloplacha.2009.11.012
   Web of Science ®Google Scholar
• EM-DAT: The Emergency Events Database. 2019. Université catholique de Louvain (UCLouvain) - CRED, D. Guha-Sapir. Brussels, Belgium. Database update: January 29, 2019 [accessed 2019 Mar 21].  <www.emdat.be>.
   Google Scholar
• European Union. 2007. Directive 2007/60/EC of the European Parliament and of the Council of 23 October 2007 on the assessment and management of flood risks. Off J European Union. 1:1–18.
   Google Scholar
• Gupta HV, Kling H, Yilmaz KK, Martinez GF. 2009. Decomposition of the mean squared error and NSE performance criteria: implications for improving hydrological modelling. J Hydrol. 377:80–91. Doi: 10.1016/j.jhydrol.2009.08.003
   Web of Science ®Google Scholar
• Gupta HV, Sorrooshian S, Yapo PO. 1999. Status of automatic calibration for hydrologic models: comparison with multilevel expert calibration. J Hydrol Eng. 4(2):135–143. Doi: 10.1061/(ASCE)1084-0699(1999)4:2(135)
   Web of Science ®Google Scholar
• Horrit MS, Di Baldassarre G, Bates PD, Brath A. 2007. Comparing the performance of a 2-D finite elemento and a 2-D finite volume model of floodplain inundation using airborne SAR imagery. Hydrol Process. 2:2745–2759. Doi: 10.1002/hyp.6486
   Google Scholar
• INMET. 2018. Instituto Nacional de Meteorologia. Normais climatológicas do Brasil. Brasília, DF: 2018.
   Google Scholar
• Klein AHF, Short AD, Bonetti J. 2016. Santa Catarina Beach systems. In: Short AD, Klein AHF, editors. Brazil Beach systems. Coastal research library, 17. Boca Raton, FL: Springer; p. 465–506.
   Google Scholar
• Kobiyama M, Michel GP, Engster EC, Paixão MA. 2015. Historical analyses of debris flow disaster occurrences and of their scientific investigation in Brazil. Labor Engenho. 9(4):76–89. doi: 10.20396/lobore.v9i4.8639477
   Google Scholar
• Lago PF. 1983. Calamidade: a enchente do Rio Tubarão. Florianópolis: UFSC.
   Google Scholar
• Lima M, Rodrigues MLG, Sacco F, Cruz GS, Alves MPA. 2009. Análise da configuração atmosférica associada a eventos extremos de chuva no litoral do Estado de Santa Catarina, Sul do Brasil. In: Simpósio Internacional de Climatologia. 3. Gramado, RS: Sociedade Brasileira de Meteorologia; p. 1–17.
   Google Scholar
• Lopes VAR, Fan FM, Pontes PRM, Siqueira VA, Collischonn W, Marques DM. 2018. A first integrated modelling of a river-lagoon large-scale hydrological system for forecasting purposes. J Hydrol. 565:177–196. Doi: 10.1016/j.jhydrol.2018.08.011
   Web of Science ®Google Scholar
• Lorenzo-Lacruz J, Amengual A, Garcia C, Morán-Tejeda E, Homar V, Maimó-Far A, Hermoso A, Ramis C, Romero R. 2019. Hydro-meteorological reconstruction and geomorphological impact assessment of the October 2018 catastrophic flash flood at Sant Llorenç. Mallorca (Spain). Nat Hazards Earth Syst Sci. 19:2597–2617. Doi: 10.5194/nhess-19-2597-2019
   Web of Science ®Google Scholar
• Machado CC. 2005. Tubarão 1974: Fatos E Relatos Da Grande Enchente. Tubarão: Ed. Unisul.
   Google Scholar
• Marques R. 2010. Variabilidade da precipitação na bacia hidrográfica do Rio Tubarão/SC de 1946 a 2006. 206 f. Dissertação (Mestrado) – Curso de Pós-Graduação em Geografia. Florianópolis: Universidade Federal de Santa Catarina.
   Google Scholar
• Masoero A, Claps P, Asselman NEM, Mosselman E, Di Baldassarre G. 2013. Reconstruction and analysis of the Po River inundation of 1951. Hydrol Process. 27(9):1341–1348. Doi: 10.1002/hyp.9558
   Web of Science ®Google Scholar
• Mcmillan HK, Westerberg IK, Krueger T. 2018. Hydrological data uncertainty and its implications. WIRES Water. 5:1–14. Doi: 10.1002/wat2.1319
   Google Scholar
• Mctaggart-Cowan R, Bosart LF, Davis CA, Atallah EH, Gyakum JR, Emanuel KA. 2006. Analysis of Hurricane Catarina (2004). Monthly Weather Rev. 134:3029–3053. doi: 10.1175/MWR3330.1
   Web of Science ®Google Scholar
• Moftakhari HR, Salvadori G, Aghakouchak A, Sanders BF, Matthew RA. 2017. Compounding effects of sea level rise and fluvial flooding. Proc Natl Acad Sci USA. 114(37):1–6. Doi: 10.1073/pnas.1620325114
   Web of Science ®Google Scholar
• Moriasi DN, Arnold JG, Van Liew MW, Bingner RL, Harmel RD, Veith TL. 2007. Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Am Soc Agric Biol Eng. 5(3):885–900. Doi: 10.13031/2013.23153
   Google Scholar
• Nash JE, Sutcliffe JV. 1970. River flow forecasting through conceptual models part I – a discussion of principles. J Hydrol. 10:282–290. Doi: 10.1016/0022-1694(70)90255-6
   Google Scholar
• NCDC/NOAA. 2018 National climatic data center/national oceanic and atmospheric administration. Marine Beaufort Scale [accessed 2018 Nov 26]. https://www.ncdc.noaa.gov/sites/default/files/attachments/Marine_Beaufort_Scale.pdf.
   Google Scholar
• Paiva RCD, Buarque DC, Collischonn W, Bonnet MP, Frappart F, Calmant S, Mendes CAB. 2013. Large-scale hydrologic and hydrodynamic modeling of the Amazon River basin. Water Resour Res. 49:1226–1243. doi: 10.1002/wrcr.20067
   Web of Science ®Google Scholar
• Pontes PRM, Fan FM, Fleischmann AS, Paiva RCD, Buarque DC, Siqueira VA, Jardim PF, Sorribas MV, Collischonn W. 2017. MGB-IPH model for hydrological and hydraulic simulation of large floodplain river systems coupled with open source GIS. Environ Model Softw. 94:1–20. Doi: 10.1016/j.envsoft.2017.03.029
   Web of Science ®Google Scholar
• Pontius Jr. RG, Parmentier B. 2014. Recommendations for using the relative operationg characteristics (ROC). Landsc Ecol. 29(3):1–16. Doi: 10.1007/s10980-013-9984-8
   Google Scholar
• Remo JWF, Pinter N. 2007. Retro-modeling the Middle Mississipi River. J Hydrol. 337:421–435. Doi: 10.1016/j.jhydrol.2007.02.008
   Web of Science ®Google Scholar
• Ribeiro Neto A, Cirilo JA, Dantas CEO, Silva ER. 2015. Caracterização da formação de cheias na bacia do rio Una em Pernambuco: simulação hidrológica-hidrodinâmica. Revista Brasileira de Recursos Hídricos. 20(2):394–403. Doi: 10.21168/rbrh.v20n2.p394-403
   Google Scholar
• Rivera-Trejo F, Soto-Cortés G, Méndez-Antonio B. 2010. The 2007 flood in Tabasco, Mexico: an integral analysis of a devastating phenomenon. Int J River Basin Manag. 8(3-4):255–267. Doi: 10.1080/15715124.2010.508746
   Google Scholar
• Rodríguez MG, Nicolodi JL, Gutiérrez OQ, Losada VC, Hermosa AE. 2016. Brazilian coastal processes: wind,wave climate and sea level. In: Short A. D., Klein A. H. F., editors. Brazil Beach systems. Coastal research library, 17. Boca Raton, FL: Springer; p. 37–66.
   Google Scholar
• Ruiz-Bellet JL, Balasch JC, Tuset J, Barriendos M, Mazon J, Pino D. 2015. Historical, hydraulic, hydrological and meteorological reconstruction of 1874 Santa Tecla flash floods in Catalonia (NE Iberian Peninsula). J Hydrol. 524:279–295. Doi: 10.1016/j.jhydrol.2015.02.023
   Web of Science ®Google Scholar
• Segura-Beltrán F, Sanchis-Ibor C, Morales-Hernández M, González-Sanchis M, Bussi G, Ortiz E. 2016. Using post-flood surveys and geomorphologic mapping to evaluate hydrological and hydraulic models: The flash flood of the Girona River (Spain) in 2007. J Hydrol. 541:310–329. Doi: 10.1016/j.jhydrol.2016.04.039
   Web of Science ®Google Scholar
• Sudhaus D, Seidel J, Bürger K, Dostal P, Imbery F, Mayer H, Glaser R, Konold W. 2008. Discharges of past flood events based on historical river profiles. Hydrol Earth Syst Sci. 12:1201–1209. Doi: 10.5194/hess-12-1201-2008
   Web of Science ®Google Scholar
• Sy B, Frischknecht C, Dao H, Consuegra D, Giuliani G. 2020. Reconstituing past flood events: contribution of citizen science. Hydrol Earth Syst Sci. 24:61–74. Doi: 10.5194/hess-24-61-2020
   Web of Science ®Google Scholar
• Vanelli FM. 2019. Reconstrução hidrológica e hidrodinâmica do evento de 1974 em Tubarão, SC [master’s thesis]. Porto Alegre (RS): Universidade Federal do Rio Grande do Sul. Available on https://lume.ufrgs.br/handle/10183/194861
   Google Scholar
• Velásquez N, Hoyos CD, Vélez JI, Zapata E. 2020. Reconstructing the Salgar 2015 flash flood using radar retrievals and a conceptual modeling framework: a basis for a better flood generating mechanisms discrimination. Hydrol Earth Syst Sci Discuss. 24:1367–1392. Doi: 10.5194/hess-2018-452 doi: 10.5194/hess-24-1367-2020
   Web of Science ®Google Scholar
• Vettoretti A. 1992. História de Tubarão das origens ao século XX. Tubarão, SC: Ed. Prefeitura Municipal de Tubarão, 426 p.VETTORETTI, A. 2004. Estação da Piedade. Tubarão, SC: Ed. Copiart. 169 p.
   Google Scholar
• Vettoretti A. 2004. Estação da Piedade. Tubarão, SC: Ed. Copiart.
   Google Scholar
• WMO. 2008. Guide to hydrological practice: hydrology from measurement to hydrological information. Geneva: World Meteorological Organization. 168, 6.ed.
   Google Scholar
• Yang L, Li J, Sun H, Guo Y, Engel BA. 2018. Calculation of nonstationary flood return period considering historical extraordinary flood events. J Flood Risk Manage. 12(3):e12463. Doi: 10.1111/jfr3.12463
   Google Scholar