Articles | Volume 21, issue 12
https://doi.org/10.5194/hess-21-6461-2017
https://doi.org/10.5194/hess-21-6461-2017
Research article
 | 
18 Dec 2017
Research article |  | 18 Dec 2017

Does nonstationarity in rainfall require nonstationary intensity–duration–frequency curves?

Poulomi Ganguli and Paulin Coulibaly

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Cited articles

Adamowski, K. and Bougadis, J.: Detection of trends in annual extreme rainfall, Hydrol. Process., 17, 3547–3560, 2003.
Agilan, V. and Umamahesh, N. V.: What are the best covariates for developing non-stationary rainfall Intensity–Duration–Frequency relationship?, Adv. Water Resour., 101, 11–22, 2017.
Ali, H. and Mishra, V.: Contrasting response of rainfall extremes to increase in surface air and dewpoint temperatures at urban locations in India, Sci. Rep.-UK, 7, 1228, https://doi.org/10.1038/s41598-017-01306-1, 2017.
ASCE: Standard Guidelines for the Design of Urban Stormwater Systems, Standard Guidelines for Installation of Urban Stormwater Systems, and Standard Guidelines for the Operation and Maintenance of Urban Stormwater Systems, ASCE/EWRI 45-05, 46-05, and 47-05, American Society of Civil Engineers, Reston, VA, available at: https://ascelibrary.org/doi/book/10.1061/9780784408063 (last access: 9 December 2016), 2006.
Baldwin, D. J. B., Desloges, J. R., and Band, L. E.: Physical geography of Ontario, in: Ecology of a Managed Terrestrial Landscape: Patterns and Processes of Forest Landscapes in Ontario, University of British Columbia Press, Vancouver, 2011.
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Short summary
Using statistical models, we test whether nonstationary versus stationary models show any significant differences in terms of design storm intensity at different durations across Southern Ontario. We find that detectable nonstationarity in rainfall extremes does not necessarily lead to significant differences in design storm intensity, especially for shorter return periods. An update of 2–44 % is required in current design standards to mitigate the risk of storm-induced urban flooding.
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