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Flood forecasting in the upper Uruguay River basin

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Abstract

Floods are common in the upper Uruguay River, and they may occur almost at any moment, because there are not defined rainfall seasonal patterns. Moreover, there is not an official model for flood forecasting in this basin. This study developed a methodology for 1-month flood forecasting in the upper region of the Uruguay River basin (≥3000 m3 s−1), from the headwaters to the Itá reservoir. The monthly version of the SMAP (Soil Moisture Accounting Procedure) model was presented and used to describe the transformation of rainfall into runoff, and the CFSv2 (Climate Forecast System version 2) model was used to provide rainfall forecasts. Twenty-five 1-month-lead rainfall forecasts were used to calculate 25 flow predictions for every month. Ensembles with different number of members were compared among them and with the official model currently used for 1-month flow forecasting in the upper Uruguay River. The best accuracy was achieved with the average of the first seven members, which showed a mean relative error of 10.8 % during the floods, while the official model presented 64.0 %, predicting remarkably lower flows. Furthermore, during the period assessed, the correlation between the natural flow and the first-seven-member ensemble was >0.77, while with the official model was 0.34. Thus, coupling SMAP and CFS is a valid approach that can be useful to anticipate mitigating actions to decrease the effects of severe floods in the upper Uruguay River and, probably, in other Brazilian basins.

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References

  • Ahern M, Kovats RS, Wilkinson P, Few R, Matthies F (2005) Global health impacts of floods: epidemiologic evidence. Epidemiol Rev 27:36–46. doi:10.1093/epirev/mxi004

    Article  Google Scholar 

  • Alfieri L, Salamon P, Pappenberger F, Wetterhall F, Thielen J (2012) Operational early warning systems for water-related hazards in Europe. Environ Sci Policy 21:35–49. doi:10.1016/j.envsci.2012.01.008

    Article  Google Scholar 

  • Alfieri L, Pappenberger F, Wetterhall F, Haiden T, Richardson D, Salamon P (2014) Evaluation of ensemble streamflow predictions in Europe. J Hydrol 517:913–922. doi:10.1016/j.jhydrol.2014.06.035

    Article  Google Scholar 

  • Alfieri L, Burek P, Feyen L, Forzieri G (2015) Global warming increases the frequency of river floods in Europe. Hydrol Earth Syst Sci 19:2247–2260. doi:10.5194/hess-19-2247-2015

    Article  Google Scholar 

  • Bartholmes JC, Thielen J, Ramos MH, Gentilini S (2009) The European flood alert system EFAS—Part 2: statistical skill assessment of probabilistic and deterministic operational forecasts. Hydrol Earth Syst Sci 13:141–153

    Article  Google Scholar 

  • Block PJ, Souza Filho FA, Sun L, Kwon H-H (2009) A streamflow forecasting framework using multiple climate and hydrological models. J Am Water Resour As 45:828–843. doi:10.1111/j.1752-1688.2009.00327.x

    Article  Google Scholar 

  • Cataldi M, Saturnino Braga R, Dias TL, Sá RV, Rocha VF, Souza Filho FA (2012) Assessment of precipitation climate forecasting of models ECHAM 4.5, CFS, COLA/IRI and CCM3 for hydrographic basins in Southwest Brazil. In: CLIVAR VAMOS Workshop on Modeling and Predicting Climate in the Americas

  • Cloke HL, Pappenberger F (2009) Ensemble flood forecasting: a review. J Hydrol 375:613–626

    Article  Google Scholar 

  • Collischonn W, Tucci CEM, Clarke RT, Dias PL, Oliveira GS (2005) Previsão sazonal de vazão na bacia do rio Uruguai 2: previsão climática-hidrológica. Revista Brasileira de Recursos Hídricos 10:60–72 (In Portuguese)

    Google Scholar 

  • Consórcio ITÁ (2015) Ficha técnica da UHE ITÁ. http://www.consorcioita.com.br/paginas/visualizar/ficha_tecnica/#conteudo. Accessed Jan 2015 (in Portuguese)

  • De Groeve T, Thielen J, Brakenridge R, Adler R, Alfieri L, Kull D, Lindsay F, Imperiali O, Pappenberger F, Rudari R, Salamon P, Villars N, Wyjad K (2014) Joining forces in a global flood partnership. Bull Am Meteorol Soc. doi:10.1175/BAMS-D-14-00147.1

    Google Scholar 

  • FAO (2003) Review of water resources by country. ftp://fao.org/agl/aglw/docs/wr23e.pdf. Accessed Jan 2015

  • FAO (2015) Freshwater Availability - Precipitation and Internal Renewable Water Resources (IRWR). AQUASTAT database. http://www.fao.org/nr/water/aquastat/data/query/index.html. Accessed January 2015

  • Lopes J, Braga B, Conejo J (1982) SMAP—a simplified hydrological model, applied modelling in catchment hydrology. In: Singh (ed) Water Resources Publications

  • Lorenz EN (1967) The nature and theory of the general circulation of the atmosphere. World Meteorological Organization, Geneva

    Google Scholar 

  • Milly PCD, Wetherald R, Dunne KA, Delworth TL (2002) Increasing risk of great floods in a changing climate. Nature 415:514–517. doi:10.1038/415514a

    Article  Google Scholar 

  • Ministério do Meio Ambiente (2006) Uruguay river hidrologic region report. Brasília, Environment Ministry (in Portuguese)

    Google Scholar 

  • Nash J, Sutcliffe J (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

    Article  Google Scholar 

  • ONS (2007) Technical note 133/2007. Electric System National Operator, Rio de Janeiro (in Portuguese)

    Google Scholar 

  • Saha S, Nadiga S, Thiaw C, Wang J, Wang W, Zhang Q, Van Den Dool HM, Pan H-L, Moorthi S, Behringer D, Stokes D, Pena M, Lord S, White G, Ebisuzaki W, Peng P, Xie P (2006) The NCEP climate forecast system. J Clim 19:3483–3517. doi:10.1175/JCLI3812.1

    Article  Google Scholar 

  • Saha S, Moorthi S, Wu X, Wang J, Nadiga S, Tripp P, Behringer D, Hou Y-T, Chuang H, Iredell M, Ek M, Meng J, Yang R, Peña Mendez M, van den Dool H, Zhang Q, Wang W, Chen M, Becker E (2014) The NCEP climate forecast system version 2. J Clim 27:2185–2208. doi:10.1175/JCLI-D-12-00823.1

    Article  Google Scholar 

  • Sorensen JH (2000) Hazard warning systems: review of 20 years of progress. Nat Hazards Rev 1:119–125. doi:10.1061/(ASCE)1527-6988(2000)1:2(119)

    Article  Google Scholar 

  • Stillwell HD (1992) Natural hazards and disasters in Latin America. Nat Hazards 6:131–159. doi:10.1007/BF00124620

    Article  Google Scholar 

  • Thielen J, Bartholmes J, Ramos M-H, De Roo A (2009) The European flood alert system—part 1: concept and development. Hydrol Earth Syst Sci 13:125–140

    Article  Google Scholar 

  • Werner M, Reggiani P, De Roo AD, Bates P, Sprokkereef E (2005) Flood forecasting and warning at the river basin and at the European scale. Nat Hazards 36:25–42. doi:10.1007/s11069-004-4537-8

    Article  Google Scholar 

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Acknowledgments

The authors express their sincere gratitude to Danielle Cristine Carvalho Muniz e Silva and to Prof. Thomas C. Harmon. They also thank Talmo Manhães de França Rodrigues, Carlos Henrique Silva and Yan Ferreira. Furthermore, the authors gratefully acknowledge the financial support provided by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, CAPES, and by the Conselho Nacional de Desenvolvimento Científico e Tecnológico, CNPq.

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Authors and Affiliations

  1. Fluminense Federal University, Rua Passo da Pátria, 156, bl E, sl 302, São Domingos, Campus da Praia Vermelha, Niterói, RJ, CEP: 24210-240, Brazil

    A. S. Fernández Bou & M. Cataldi

  2. Federal University of Rio de Janeiro, Rio de Janeiro, Brazil

    R. Ventura De Sá

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  1. A. S. Fernández Bou
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  2. R. Ventura De Sá
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  3. M. Cataldi
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Correspondence to M. Cataldi.

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Fernández Bou, A.S., De Sá, R.V. & Cataldi, M. Flood forecasting in the upper Uruguay River basin. Nat Hazards 79, 1239–1256 (2015). https://doi.org/10.1007/s11069-015-1903-7

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  • DOI: https://doi.org/10.1007/s11069-015-1903-7

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