Skip to main content

Advertisement

SpringerLink
Log in

Use of Teleconnection Indices for Water Management in the Cantareira System - São Paulo – Brazil

  • Original Article
  • Published:
Environmental Processes Aims and scope Submit manuscript

Abstract

The drought that occurred in 2014/2015 over the Metropolitan Region of São Paulo (MRSP) was considered one of the most intense in the region’s history, causing a crisis in the state of São Paulo’s public water-supply sector. The objectives of this study were: (1) to generate a hydroclimatological baseline for the Cantareira System region; (2) to evaluate the local potential relationship between teleconnections based on global climatic indices and rainfall/flow anomalies; and (3) to propose a tool to assist in the management of the MRSP’s largest water-production system. Precipitation and natural-flow data in the Cantareira System for 1948–2015 were used in this study. The evaluated teleconnection indices included the Oceanic Niño Index (ONI), Antarctic Oscillation (AAO), Pacific Decadal Oscillation (PDO), Atlantic Multidecadal Oscillation (AMO) and North Atlantic Oscillation (NAO). We verified that these indices were more sensitive on a seasonal scale to the occurrence of excess rainfall and flow events than drought events. For the ONI and AAO positive phases, the Cantareira System’s flow was above-average in summer and winter, which is associated with flood events. The AAO’s negative phase was associated with deficit events in summer and winter, but not extreme deficit events. The PDO’s positive phase was associated with flood events in winter and spring. The results from this study could be used as an additional climatic tool for managing the Cantareira System through the monitoring of average flows and seasonal indices.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  • ANA, DAEE (2016) Dados de Referência Acerca da Outorga do Sistema Cantareira. Agência Nacional de Águas. Departamento de Águas e Energia Elétrica. São Paulo. Available at: http://www2.sabesp.com.br/mananciais/dadoscantareira/DDR_Sistema_Cantareira-Anexo2.pdf. Accessed 1 Dec 2017

  • Andreoli RV, Kayano MT (2005) ENSO-related rainfall anomalies in South America and associated circulation features during warm and cold Pacific decadal oscillation regimes. Int J Climatol 25:2017–2030

    Article  Google Scholar 

  • Anji S, Fernandes K, Camargo SJ (2015) Two summers of São Paulo drought: origins in the western tropical Pacific Geophys. Res Lett 42:10816–10823

    Article  Google Scholar 

  • Bernardino BS, Vasconcellos FC, Nunes AM (2018) Impact of the equatorial Pacific and South Atlantic SST anomalies on extremes in austral summer precipitation over Grande river basin in Southeast Brazil. Int J Climatol 38(Suppl.1):e131–e143

    Article  Google Scholar 

  • Cabrera VE, Solís D, Baigorria A, Letson D (2009) Managing climate variability in agricultural analysis. In: Long JA, Wells DS (eds) Ocean circulation and El Niño: new research. Nova Science Publishers, Inc, Hauppauge, pp 163–179

    Google Scholar 

  • Carvalho L, Jones C, Liebman B (2004) The South Atlantic convergence zone: intensity, form, persistence, and relationship with intraseasonal to interanual activity and extreme rainfall. J. Clim 17:88–108

    Article  Google Scholar 

  • Cavalcanti IFA, Ferreir NJ, Silva MGAJ, Dias MAFS (Org). (2009) Tempo e clima no Brasil. Oficina de Textos, São Paulo, p 260–275

  • Chiessi CM, Mulitza S, Pätzold J, Wefer G, Marengo JA (2009) Possible impact of the Atlantic multidecadal oscillation on the South American summer monsoon. Geophys Res Lett 36:L21707. https://doi.org/10.1029/2009GL039914

    Article  Google Scholar 

  • Coelho CAS, Cardoso D, Firpo M (2015a) Precipitation diagnostics of an exceptionally dry event in Sao Paulo. Brazil. Theor and App Clim 125:769–784

    Article  Google Scholar 

  • Coelho CAS, Oliveira C, Ambrizi T, Reboita M, Carpenedo C, Campos J, Tomaziello A, Pampuch L, Custodio MS, Dutra L, Da Rocha R, Rehbein A (2015b) The 2014 Southeast Brazil austral summer drought: regional scale mechanisms and teleconnections. Clim Dynam 46:3737–3752

    Article  Google Scholar 

  • Coelho CAS, Firpo MAF, Maia HN, Maclachlan G (2017) Exploring the feasibility of empirical, dynamical and combined probabilistic rainy season onset forecasts for São Paulo. Brazil Int J Climatol 37:1–10. https://doi.org/10.1002/joc.5010

    Google Scholar 

  • Cunningham CC, Cavalcanti IF (2006) Intraseasonal modes of variability affecting the South Atlantic convergence zone. Int J Climatol 26:1165–1180

    Article  Google Scholar 

  • Friederike EL et al (2015) Factors other than climate change, main drivers of 2014/15 water shortage in Southeast Brazil [in “explaining extremes of 2014 from a climate perspective”]. Bull Amer Meteor Soc 96(12):S35–S40

    Article  Google Scholar 

  • FABHAT - Fundação Agência da Bacia Hidrográfica do Alto Tietê (2014) Relatório de Situação dos Recursos Hídricos: Bacia Hidrográfica do Alto Tietê - UGRHI 06 - Ano Base 2013. São Paulo. Available at: <http://www.sigrh.sp.gov.br/public/uploads/documents//CBH-AT/12322/ relatorio_situacao_dos_recursos_hidricos_ugrhi_06_2017.pdf>. Accessed: February 25, 2018

  • Hurrell JW, Kushnir Y, Ottersen G, Visbeck M (2003) An overview of the North Atlantic Oscillation. In: Hurrell JW, Kushnir Y, Ottersen G, Visbeck M (eds) The North Atlantic Oscillation. Climate Significance and Environmental Impact, Geophysical Monograph Series, 134. American Geophysical Union, Washington, DC, p 1–35

  • IPCC (2013) Annex III: glossary [Planton, S. (ed.)]. In: Stocker TF, Qin D, Plattner G-K, Tignor M, Allen SK, Boschung J, Nauels A, Xia Y, Bex V, Midgley PM (eds) Climate change 2013: the physical science basis. Contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge and New York

    Google Scholar 

  • Kayano MT, Andreoli RV (2006) Relationships between rainfall anomalies over Northeastern Brazil and El Niño/Southern Oscillation. J Geophys Res, Washington, DC, EUA 111:D13101

    Article  Google Scholar 

  • Kayano MT, Capistrano VB (2014) How the Atlantic multidecadal oscillation (AMO) modifies the ENSO influence on the south American rainfall. Int J Climatol 34:162–178

    Article  Google Scholar 

  • Kendall MG (1975) Rank correlation measures. London, U.K, Charles Griffin, 220 p

    Google Scholar 

  • Mann HB (1945) Econometrica. Econ Soc 13(3):245–259

    Google Scholar 

  • Mantua NJ, Hare SR (2002) The Pacific decadal oscillation. J Oceanogr 58(1):35–44

    Article  Google Scholar 

  • Martinez CJ, Baigorria GA, Jones JW (2009) Use of climate indices to predict corn yields in Southeast USA. Int J Climatol 29(11):1680–1691. https://doi.org/10.1002/joc.1817

    Article  Google Scholar 

  • Milano M, Reynard E, Muniz-Miranda G, Guerin J (2018) Water supply basins of São Paulo metropolitan region: hydro-climatic characteristics of the 2013–2015 water crisis. Water 10:1517

    Article  Google Scholar 

  • Millington N (2018) Producing water scarcity in São Paulo, Brazil: The 2014–2015 water crisis and the binding politics of infrastructure. Polit. Geogr, pg 26–34

  • Moraes JM, Pellegrino GQ, Ballester MV, Martinelli LA, Victoria RL, Krusche AV (1998) Trends in hydrological parameters of a southern brazilian watershed and its relation to human induced changes. Water Resourc Manag 12(295):311

    Google Scholar 

  • Nam WH, Baigorria GA (2015) Analyzing changes to the spatial structures of precipitation and temperature under different ENSO phases in the Southeast and Midwest United States. Meteorol. Appl 22(4):797–805

    Article  Google Scholar 

  • National Oceanic and Atmospheric Administration – NOAA (2016) Climate Indices: Monthly Atmospheric and Ocean Time Series. EUA. Available at: https://www.esrl.noaa.gov/psd/data/ climateindices/. Accessed: May 20, 2016

  • Nobre CA, Marengo JA, Seluchi ME, Cuartas LA, Alves LM (2016) Some characteristics and impacts of the drought and water crisis in southeastern Brazil during 2014 and 2015. J Water Resource Prot 8:252–262 Available at: https://doi.org/10.4236/jwarp.2016.82022

    Article  Google Scholar 

  • Prado LF, Waimer I (2013) Planetary-scale climatic indices and relationship between decadal variability of rainfall in northeastern and southern Brazil. Rev Bras Geofís 31(1):31–41

    Article  Google Scholar 

  • Rosso FV, Boiask NT, Ferraz ET (2018) Influence of the Antartic oscillation on the South Atlantic convergence zone. Atmosphere 9:431

    Article  Google Scholar 

  • SABESP (2015) Companhia de Saneamento Básico do Estado de São Paulo. Complexo Metropolitano. Available at: http://site.sabesp.com.br/site/interna/Default.aspx?secaoId=36. Accessed 10 July 2015

  • Salmi T, Maatta A, Anttila P, Ruoho-Airola T, Amnell T (2002) Detecting trends of annual values of atmospheric pollutants by the Mann-Kendall test and Sen’s slope estimates-the excel template application Makesens. Finnish Meteorological Institute publications on air quality no. 31, Helsinki, Finland

  • Satyamurty P, Nobre CA, Dias PLS (1998) Tropics - South America. In: D. J. Karoly; D. G. Vincent. (Org.). Meteorology of the Southern Hemisphere. Boston: meteorology monograph, v. 49, p. 119-139

  • Sentas A, Psilovikos A, Psilovikos T (2016) Statistical analysis and assessment of water quality parameters in Pagoneri. River Nestos European Water 55:115–124

    Google Scholar 

  • Shin DW, Baigorria GA (2012) Potential influence of land development patterns on regional climate: a summer case study in Central Florida. Nat Hazards 62(3):877–885

    Article  Google Scholar 

  • Targa MS, Batista GT (2015) Benefits and legacy of the water crisis in Brazil. Rev. Ambient. Água vol. 10 n. 2 Taubaté – Apr. / Jun.

  • Valverde MC, Marengo JA (2014) Extreme rainfall indices in the hydrographic basins of Brazil. Open J of Modern Hydrol 4(1):10–26

    Article  Google Scholar 

  • Vasconcellos FC, Cavalcanti IF (2010) Extreme precipitation over Southeastern Brazil in the austral summer and relations with the Southern Hemisphere annular mode. Atmos Sci Let 11:21–26

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Universidade Federal do ABC (UFABC), Avenida dos Estados, 5001, Santo André/SP, CEP 09210-580, Brazil

    Gabrielle Gomes Calado & Maria Cleofé Valverde

  2. University of Nebraska (Lincoln), Lincoln, NE, USA

    Guillermo Antonio Baigorria

Authors
  1. Gabrielle Gomes Calado
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Maria Cleofé Valverde
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Guillermo Antonio Baigorria
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Gabrielle Gomes Calado.

Ethics declarations

Conflict of Interest

The authors declare that they have no conflict of interest.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Calado, G.G., Valverde, M.C. & Baigorria, G.A. Use of Teleconnection Indices for Water Management in the Cantareira System - São Paulo – Brazil. Environ. Process. 6, 413–431 (2019). https://doi.org/10.1007/s40710-019-00368-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40710-019-00368-9

Keywords

Search

Navigation