Skip to main content

Spatiotemporal Analysis of Extreme Precipitation Characteristics for Prairie Region of Canada

  • Conference paper
  • First Online:
Recent Advancements from Aquifers to Skies in Hydrogeology, Geoecology, and Atmospheric Sciences (MedGU 2022)

Abstract

The Canadian Prairies are identified as a potential climate change “hotspot” due to their relatively high latitude and central location on the continent. Agriculture is very vital in the southern part of the region, particularly the Prairie’s ecozone. Droughts are a frequent visitor in this region and so as floods from convective heavy precipitation events. Over a 24-h period, one single extreme precipitation event could deliver more than 25% of the mean annual precipitation. The behavior of extreme precipitation poses many challenges to flood management, adaptation, and coping mechanisms. The goal of this research is to uncover temporal and spatial aspects of 24-h maximum precipitation in the Canadian Prairie region, including change points, trends, long-term persistence, spatial correlation, upper tail properties, and any clustering to facilitate adaptation and coping mechanisms to extreme floods. 24-h precipitation data collected by tipping bucket rain gauges (TBRG) for 26 stations distributed across Alberta, Manitoba, and Saskatchewan provinces were used. We have investigated abrupt changes in the first two moments of the distribution by applying the Pettit test. The lag-1 (r1) serial correlation coefficient was used to calculate the auto- or serial correlation in the extreme rainfall datasets. The pre-whitening scheme was applied where there was statistically significant serial correlation before trend analysis. Nonparametric Mann–Kendall (MK) test and Theil-Sen’s slope estimator were applied for trend detection at 5% significance level. The presence of long-term persistence determined by estimating the Hurst exponent. Statistical modeling was conducted by applying the generalized extreme value (GEV) distribution. The results of the trend analysis suggest that the 24-h extreme precipitation trend is decreasing. Hurst exponent of > 0.5 was found in 65% of the stations demonstrating long-term persistence, while the remaining 35% showed no long-term persistence. In general, 24-h extreme precipitation in the Prairie region is heavy tailed as found in the GEV analysis. All three GEV parameters demonstrate a pronounced decreasing trend from the north to the south while plotted against latitude. Plotted map of 100-year return period values displays three clusters of high precipitation and flood vulnerable areas. One is in the northwest of Alberta and the other two in the South of Saskatchewan and Manitoba.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 219.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 279.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Fu, W. J., Jiang, P. K., Zhou, G. M., & Zhao, K. L. (2014). Using Moran’s I and GIS to study the spatial pattern of forest litter carbon density in a subtropical region of Southeastern China. Biogeosciences, 11, 2401–2409.

    Article  Google Scholar 

  • Gil-Alana, L. A., Gupta, R., Sauci, L., & Carmona-González, N. (2022). Temperature and precipitation in the US states: Long memory, persistence, and time trend. Theoretical and Applied Climatology, 150, 1731–1744.

    Google Scholar 

  • Gupta, N., & Chavan, S. R. (2021). Assessment of temporal change in the tails of probability distribution of daily precipitation over India due to climatic shift in the 1970s. Journal of Water and Climate Change, 12(6), 2753–2773.

    Article  Google Scholar 

  • Hogg et al. (2000). Postulated feedbacks of deciduous forest phenology on seasonal climate patterns in the Western Canadian Interior. Journal of Climate, 13, 4229–4243.

    Google Scholar 

  • Katz et al. (2005). Statistics of extremes: Modeling ecological disturbances. Ecology, 86(5), 1124–1134.

    Google Scholar 

  • Ledvinka, O., & Recknagel, T. (2020). Long-term persistence in discharge time series of mountainous catchments in the Elbe River basin. Proceedings of IAHS, 383, 135–140. https://doi.org/10.5194/piahs-383-135-2020

    Google Scholar 

  • Mudelsee, M. (2006). Long memory of rivers from spatial aggregation. Water Resources Research, 43. https://doi.org/10.1029/2006WR005721

  • Pettitt, A. N. (1979). A non-parametric approach to the change-point problem. Applied Statistics, 28(2), 126–135.

    Article  Google Scholar 

  • Serinaldi, S., & Kilsby, G. S. (2016). The importance of prewhitening in change point analysis under persistence. Stochastic Environmental Research and Risk Assessment, 14, 763–777.

    Article  Google Scholar 

  • Wheater, H. S., & Gober, P. (2013). Water security in the Canadian prairies: Science and management challenges. Philosophical Transactions of the Royal Society A. https://doi.org/10.1098/rsta.2012.0409

    Article  Google Scholar 

  • Woren, R. (2002). Estimating long-range dependence: Finite sample properties and confidence intervals. Physica A: Statistical Mechanics and Its Applications, 312(1–2), 285–299.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to M. Monirul Qader Mirza .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Mirza, M.M.Q., Gough, W.A., Noorisameleh, Z. (2024). Spatiotemporal Analysis of Extreme Precipitation Characteristics for Prairie Region of Canada. In: Chenchouni, H., et al. Recent Advancements from Aquifers to Skies in Hydrogeology, Geoecology, and Atmospheric Sciences. MedGU 2022. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-031-47079-0_58

Download citation

Publish with us

Policies and ethics