Abstract

This paper aims to assess the necessity of updating the intensity-duration-frequency (IDF) curves used in Portugal to design building storm-water drainage systems. A comparative analysis of the design was performed for the three predefined rainfall regions in Portugal using the IDF curves currently in use and estimated for future decades. Data for recent and future climate conditions simulated by a global and regional climate model chain are used to estimate possible changes of rainfall extremes and its implications for the drainage systems. The methodology includes the disaggregation of precipitation up to subhourly scales, the robust development of IDF curves, and the correction of model bias. Obtained results indicate that projected changes are largest for the plains in southern Portugal (5–33%) than for mountainous regions (3–9%) and that these trends are consistent with projected changes in the long-term 95th percentile of the daily precipitation throughout the 21st century. The authors conclude there is a need to review the current precipitation regime classification and change the new drainage systems towards larger dimensions to mitigate the projected changes in extreme precipitation.

Get full access to this article

View all available purchase options and get full access to this article.

Acknowledgments

We thank the MPI for Meteorology (Germany), the WDCC/CERA database and the COSMO-CLM community for providing the COSMO-CLM data. This work was supported by European Union Funds (FEDER/COMPETE—Operational Competitiveness Programme) and by Portuguese national funds (FCT—Portuguese Foundation for Science and Technology) under the project PEst-OE/AGR/UI4033/2014. We thank Sven Ulbrich (University Cologne) for help with data handling, Sandra Dias (UTAD), Fátima Ferreira (UTAD) and Cristina Costa (ISEGI) for discussions. We acknowledge the E-OBS dataset from the EU-FP6 project ENSEMBLES (http://ensembles-eu.metoffice.com) and the data providers in the ECA&D project (http://www.ecad.eu).

References

Ahammed, F., and Hewa, G. A. (2012). “Development of hydrological tools using extreme rainfall events for Dhaka, Bangladesh.” Water Int., 37(1), 43–52.
Arganis-Juárez, M. L., Mora, R. D., Cisneros-Iturbe, H. L., and Fuentes-Mariles, G. E. (2008). “Synthetic sample generation of monthly inflows into two dams using the modified Svanidze method.” Hydrolog. Sci. J., 53(1), 130–141.
Ariff, N. M., Jemain, A. A., Ibrahim, K., and Zin, W. Z. W. (2012). “IDF relationships using bivariate copula for storm events in Peninsular Malaysia.” J. Hydrol., 470, 158–171.
Bara, M., Gaal, L., Kohnova, S., Szolgay, J., and Hlavcova, K. (2010). “On the use of the simple scaling of heavy rainfall in a regional estimation of idf curves in Slovakia.” J. Hydrol. Hydromech., 58(1), 49–63.
Beijo, L. A., Muniz, J. A., and Neto, P. C. (2005). “Maximum rainfall return period by extreme values type I distribution in Lavras, Minas Gerais state, Brazil.” Cienc. Agrotec., 29(3), 657–667.
Ben-Zvi, A. (2009). “Rainfall intensity-duration-frequency relationships derived from large partial duration series.” J. Hydrol., 367(1–2), 104–114.
Bougadis, J., and Adamowski, K. (2006). “Scaling model of a rainfall intensity-duration-frequency relationship.” Hydrol. Process., 20(17), 3747–3757.
Brandão, C., Rodrigues, R., and Costa, J. P. (2001). “Analysis of extreme events, intense precipitation in continental Portugal.” DSRH, Lisbon, Portugal, 〈http://snirh.pt/snirh/download/relatorios/relatorio_prec_intensa.pdf〉 (Feb. 1, 2013).
Coles, S. (2001). An introduction to statistical modeling of extreme values, Springer, London.
Costa, A. C., Santos, J. A., and Pinto, J. G. (2012). “Climate change scenarios for precipitation extremes in Portugal.” Theor. Appl. Climatol., 108(1–2), 217–234.
Dame, R. d. C. F., Teixeira, C. F. A., and Terra, V. S. S. (2008). “Comparison of different methodologies to estimate intensity-duration-frequency curves for Pelotas - rs, Brazil.” Eng. Agr. Jaboticabal, 28(2), 245–255.
Das, S., Millington, N., and Simonovic, S. P. (2013). “Distribution choice for the assessment of design rainfall for the city of London (Ontario, Canada) under climate change.” Can. J. Civil Eng., 40(2), 121–129.
Diodato, N., Bellocchi, G., Romano, N., and Chirico, G. B. (2011). “How the aggressiveness of rainfalls in the Mediterranean lands is enhanced by climate change.” Clim. Change, 108(3), 591–599.
Endreny, T. A., and Imbeah, N. (2009). “Generating robust rainfall intensity-duration-frequency estimates with short-record satellite data.” J. Hydrol., 371(1–4), 182–191.
Fowler, H. J., and Kilsby, C. G. (2003). “Implications of changes in seasonal and annual extreme rainfall.” Geophys. Res. Lett., 30(13), 1720–1723.
Frich, P., et al. (2002). “Observed coherent changes in climatic extremes during the second half of the twentieth century.” Clim. Res., 19(3), 193–212.
Garcia-Marin, A. P., Ayuso-Munoz, J. L., Jimenez-Hornero, F. J., and Estevez, J. (2013). “Selecting the best IDF model by using the multifractal approach.” Hydrol. Process., 27(3), 433–443.
Godinho, S. (1984). “Valores máximos anuais da quantidade da precipitação. Estimativa dos valores relativos a durações inferiores a 24 horas/ Annual maximums on the amount of rainfall. Estimate of values related to durations less than 24 hours”., Lisbon, Portugal.
Godinho, S. (1987). “Valores máximos anuais da quantidade da precipitação. Estimativa dos valores relativos a durações inferiores a 24 horas/ Annual maximums on the amount of rainfall (ii)”. Estimate of values related to durations less than 24 hours”., Lisbon, Portugal.
Godinho, S. (1989). “Valores máximos anuais da quantidade da precipitação. Estimativa dos valores relativos a durações inferiores a 24 horas/ Annual maximums on the amount of rainfall (ii)”. Estimate of values related to durations less than 24 hours”., Lisbon, Portugal.
Haslinger, K., Anders, I., and Hofstätter, M. (2012). “Regional climate modelling over complex terrain: An evaluation study of COSMO-CLM hindcast model runs for the Greater Alpine Region.” Clim. Dynam., 40(1–2), 511–529.
Haylock, M. R., Hofstra, N., Klein Tank, A. M. G., Klok, E. J., Jones, P. D., and New, M. (2008). “A European daily high-resolution gridded dataset of surface temperature and precipitation.” J. Geophys. Res., 113(D20), D20119.
He, J., Valeo, C., Chu, A., and Neumann, N. F. (2011). “Stormwater quantity and quality response to climate change using artificial neural networks.” Hydrol. Process., 25(8), 1298–1312.
Holland, P. W., and Welsch, R. E. (1977). “Robust regression using iteratively reweighted least-squares.” Commun. Stat., Theory Methods, 6(9), 813–827.
Huber, P. J. (1981). Robust statistics, Wiley, New York.
Instituto Geográfico Português (IGP). (2008). “Portuguese Geographic Institute (Instituto Geográfico Português).” 〈http://www.igeo.pt/〉 (Apr. 3, 2008).
Intergovernmental Panel on Climate Change (IPCC). (2012). “Managing the risks of extreme events and disasters to advance climate change adaptation.” A special Rep. of Working Groups I and II of the Intergovernmental Panel on Climate Change, C. B. Field, et al. eds., Cambridge University Press, Cambridge, U.K.
Karl, T. R., Nicholls, N., and Ghazi, A. (1999). “CLIVAR/GCOS/WMO workshop on indices and indicators for climate extremes: Workshop summary.” Clim. Change, 42(1), 3–7.
Kingumbi, A., and Mailhot, A. (2010). “Intensity-duration-frequency (IDF) curves: Comparison of annual maximum and partial duration estimators.” Hydrolog. Sci. J., 55(2), 162–176.
Kotlarski, S., Bosshard, T., Lüthi, D., Pall, P., and Schär, C. (2012). “Elevation gradients of European climate change in the regional climate model COSMO-CLM.” Clim. Change, 112(2), 189–215.
Kuo, C.-C., Gan, T. Y., and Chan, S. (2013). “Regional intensity-duration-frequency curves derived from ensemble empirical mode decomposition and scaling property.” J. Hydrol. Eng., 66–74.
Llasat, M. C. (2001). “An objective classification of rainfall events on the basis of their convective features: Application to rainfall intensity in the northeast of Spain.” Int. J. Climatol., 21(11), 1385–1400.
Lumbroso, D. M., Boyce, S., Bast, H., and Walmsley, N. (2011). “The challenges of developing rainfall intensity-duration-frequency curves and national flood hazard maps for the Caribbean.” J. Flood Risk Manag., 4(1), 42–52.
Mailhot, A., Duchesne, S., Caya, D., and Talbot, G. (2007). “Assessment of future change in intensity-duration-frequency (IDF) curves for southern Quebec using the Canadian regional climate model (CRCM).” J. Hydrol., 347(1–2), 197–210.
Maraun, D., et al. (2010). “Precipitation downscaling under climate change: Recent developments to bridge the gap between dynamical models and the end user.” Rev. Geophys., 48(3), RG3003.
Matos, R., and Silva, M. (1986). “Studies of precipitation with application in the design of storm drainage systems.”, Lisbon, Portugal.
Meehl, G. A., et al. (2007). “Global climate projections.” Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Rep. of the Intergovernmental Panel on Climate Change, S. Solomon, et al. eds., Cambridge University Press, Cambridge, U.K., 747–845.
Mohymont, B., Demaree, G. R., and Faka, D. N. (2004). “Establishment of IDF-curves for precipitation in the tropical area of Central Africa—Comparison of techniques and results.” Nat. Hazard. Earth Sys. Sci., 4(3), 375–387.
Nakicenovic, N., et al. (2000). Special Rep. on Emissions Scenarios, Cambridge University Press, Cambridge, U.K.
Nie, L., Lindholm, O., Lindholm, G., and Syversen, E. (2009). “Impacts of climate change on urban drainage systems—A case study in Fredrikstad, Norway.” Urban Water J., 6(4), 323–332.
Olsson, J., Gidhagen, L., Gamerith, V., Gruber, G., Hoppe, H., and Kutschera, P. (2012). “Downscaling of short-term precipitation from regional climate models for sustainable urban planning.” Sustainability, 4(5), 866–887.
Peck, A., Prodanovic, P., and Simonovic, S. P. (2012). “Rainfall intensity duration frequency curves under climate change: City of London, Ontario, Canada.” Can. Water Resour. J., 37(3), 177–189.
Pereira, M. G., Calado, T. J., DaCamara, C. C., and Calheiros, T. (2013). “Effects of regional climate change on rural fires in Portugal.” Clim. Res., 57(3), 187–200.
Peterson, T. C. (2005). “Climate change indices.” WMO Bull., 54(2), 83–86.
Pizarro, R., et al. (2012). “Latitudinal analysis of rainfall intensity and mean annual precipitation in Chile.” Chil. J. Agr. Res., 72(2), 252–261.
Portuguese Environment Agency (PEA). (2008). “Portuguese Environment Agency (Agência Portuguesa do Ambiente).” 〈http://sniamb.apambiente.pt/portalmetadados/index.php?option=com_dnls&task=request&did=89〉 (Apr. 8, 2008).
Pui, A., Sharma, A., Mehrotra, R., Sivakumara, B., and Jeremiaha, E. (2012). “A comparison of alternatives for daily to sub-daily rainfall disaggregation.” J. Hydrol., 470–471, 138–157.
Regulation-decree (RD). (1995). “Regulation-decree n° 23/95.” Diário da República, 194/95(I-B), 〈http://www.dre.pt〉 (Feb. 1, 2013).
Rockel, B., Will, A., and Hense, A. (2008). “The regional climate model COSMO-CLM (CCLM).” Meteorol. Z., 17(4), 347–348.
Rosenberg, E. A., et al. (2010). “Precipitation extremes and the impacts of climate change on stormwater infrastructure in Washington State.” Clim. Change, 102(1–2), 319–349.
Rosenzweig, C., Major, D. C., Demong, K., Stanton, C., Horton, R., and Stults, M. (2007). “Managing climate change risks in New York City’s system: Assessment and adaptation planning.” Mitig. Adapt. Strat. Glob. Change, 12(8), 1391–1409.
Sandvik, B. (2009). “World borders dataset.” 〈http://thematicmapping.org/downloads/world_borders.php〉 (Jun. 18, 2014).
Sharif, M., and Burn, D. (2007). “Improved K-nearest neighbor weather generating model.” J. Hydrol. Eng., 12, 42–51.
Street, J. O., Carroll, R. J., and Ruppert, D. (1988). “A note on computing robust regression estimates via iteratively reweighted least squares.” Am. Statistician, 42(2), 152–154.
Svanidze, G. G. (1964). Principles of estimating river-flow regulation by the Monte Carlo method, Metsniereba Press, Tbilisi, USSR.
Svanidze, G. G. (1980). Mathematical modeling of hydrologic series, Water Resources Publications, Fort Collins, CO.
Taylor, L. L., Banwart, S. A., Valdes, P. J., Leake, J. R., and Beerling, D. J. (2012). “Evaluating the effects of terrestrial ecosystems, climate and carbon dioxide on weathering over geological time: A global-scale process-based approach.” Phil. Trans. R. Soc. B, 367(1588), 565–582.
Vasiljevic, B., McBean, E., and Gharabaghi, B. (2012). “Trends in rainfall intensity for stormwater designs in Ontario.” J. Water Clim. Change, 3(1), 1–10.
Veneziano, D., Lepore, C., Langousis, A., and Furcolo, P. (2007). “Marginal methods of intensity-duration-frequency estimation in scaling and nonscaling rainfall.” Water Resour. Res., 43(10), W10418.
Veneziano, D., and Yoon, S. (2013). “Rainfall extremes, excesses, and intensity-duration-frequency curves: A unified asymptotic framework and new nonasymptotic results based on multifractal measures.” Water Resour. Res., 49(7), 4320–4334.
World Meteorological Organization (WMO). (1994). “Guide to hydrological practice: data acquisition and processing, analysis, forecasting and other applications.”, Geneva, Switzerland.
Zhu, J. (2013). “Impact of climate change on extreme rainfall across the United States.” J. Hydrol. Eng., 1301–1309.
Zhu, J., Forsee, W., Schumer, R., and Gautam, M. (2013). “Future projections and uncertainty assessment of extreme rainfall intensity in the United States from an ensemble of climate models.” Clim. Change, 118(2), 469–485.
Zhu, J., Stone, M. C., and Forsee, W. (2012). “Analysis of potential impacts of climate change on intensity-duration-frequency (IDF) relationships for six regions in the United States.” J. Water Clim. Change, 3(3), 185–196.

Information & Authors

Information

Published In

Go to Journal of Irrigation and Drainage Engineering
Journal of Irrigation and Drainage Engineering
Volume 141Issue 2February 2015

History

Received: Feb 4, 2014
Accepted: Jun 10, 2014
Published online: Jul 21, 2014
Discussion open until: Dec 21, 2014
Published in print: Feb 1, 2015

Permissions

Request permissions for this article.

Authors

Affiliations

Mário Jorge Modesto Gonzalez Pereira [email protected]
Assistant Professor, Centre for the Research and Technology of Agro-Environmental and Biological Sciences, CITAB, Univ. of Trás-os-Montes and Alto Douro, UTAD, Quinta de Prados, 5000-801 Vila Real, Portugal; and Instituto Dom Luiz, IDL, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, Edifício C8, Piso 3, 1749-016 Lisboa, Portugal (corresponding author). E-mail: [email protected]
Luís Filipe Sanches Fernandes [email protected]
Assistant Professor, Centre for the Research and Technology of Agro-Environmental and Biological Sciences, CITAB, Univ. of Trás-os-Montes and Alto Douro, UTAD, Quinta de Prados, 5000-801 Vila Real, Portugal; and Dept. of Engineering, Univ. of Trás-os-Montes and Alto Douro, UTAD, Quinta de Prados, 5000-801 Vila Real, Portugal. E-mail: [email protected]
Eduarda Maria Barros Macário [email protected]
M.Sc. Graduate of Civil Engineering, Dept. of Engineering, Univ. of Trás-os-Montes and Alto Douro, UTAD, Quinta de Prados, 5000-801 Vila Real, Portugal. E-mail: [email protected]
Sónia Morgado Gaspar [email protected]
M.Sc. Graduate of Civil Engineering, Dept. of Engineering, Univ. of Trás-os-Montes and Alto Douro, UTAD, Quinta de Prados, 5000-801 Vila Real, Portugal. E-mail: [email protected]
Joaquim Ginete Pinto [email protected]
Associate Professor, Dept. of Meteorology, Univ. of Reading, Whiteknights, P.O. Box 217, Reading, Berkshire RG6 6AH, U.K.; and Institute for Geophysics and Meteorology, Univ. of Cologne, Pohligstr. 3, D-50969 Köln, Germany. E-mail: [email protected]; [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share