Skip to main content

Statistical Method for the Depth-Duration-Frequency Curves Estimation Under Changing Climate: Case Study of the Južna Morava River (Serbia)

  • Conference paper
  • First Online:
Disruptive Information Technologies for a Smart Society (ICIST 2023)

Abstract

This paper addresses the influence of climate change on flood occurrence within the Veternica river stream, a tributary of the Južna Morava River. Depth-Duration-Frequency (DDF) curves serve as the indicators of climate change impacts. The Generalized Extreme Value (GEV) distribution is selected as the theoretical distribution function, and the Modified Method proposed by the Indian Meteorological Department (MIMD method) is employed to downscale daily precipitation data to sub-daily levels. DDF curves are established using both the standard and Koutsoyiannis’ methods, respectively. In addition, the HEC-HMS model will be utilized for the computation of flood hydrographs, and a comparative analysis will subsequently be carried out. Under climate change conditions, the hydro-graph peak for a 100-year return period, based on the standard method, exhibits variation ranging from a decrease of 17% to an increase of 2% compared to the reference period. However, the peak based on Koutsoyiannis’ method shows variation from a decrease of 4% to an increase of 12%, thereby indicating it as a more conservative approach.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Similar content being viewed by others

References

  1. IPCC Homepage. https://www.ipcc.ch. Accessed 15 May 2023

  2. Stojković, M., Plavšić, J., Prohaska, S.: Annual and seasonal discharge prediction in the middle Danube River basin based on a modified TIPS (Tendency, Intermittency, Periodicity, Stochasticity) methodology. J. Hydrol. Hydromech. 62(2), 165–174 (2017)

    Article  Google Scholar 

  3. Solaiman, T., Simonović, S.: Development of Probability Based Intensity-Duration-Frequency Curves under ClimateChange. Department of Civil and Environmental Engineering, The University of Western Ontario, Canada, Report No: 072, 1913-3219 (2011)

    Google Scholar 

  4. Simonović, S.: Bringing future climatic change into water resources management practice today. Water Resour. Manage 31, 2933–2950 (2017)

    Article  Google Scholar 

  5. Koutsoyiannis, D., et al.: A mathematical framework for studying rainfall intensity-duration-frequency relationships. J. Hydrol. 206, 118–135 (1998)

    Google Scholar 

  6. Mauriño, M.: Generalized rainfall-duration-frequency relationships: applicability in different climatic regions of Argentina. J. Hydrol. Eng. 9, 269–274 (2004)

    Article  Google Scholar 

  7. AlHassoun, S.: Developing an empirical formulae to estimate rainfall intensity in Riyadh region. J. King Saud Univ. Eng. Sci. 23, 81–88 (2011)

    Google Scholar 

  8. Kawara, A., Elsebaie, I.: Development of rainfall intensity, duration and frequency relationship on a daily and sub-daily basis (case study: Yalamlam Area, Saudi Arabia). Water 14, 897 (2022)

    Article  Google Scholar 

  9. Wheater, H., Larentis, P., Hamilton, G.: Design rainfall characteristics for south-west Saudi Arabia. Proc. Inst. Civil Eng. Part 87, Part 2, 517–538 (1989)

    Google Scholar 

  10. Galoie, M., et al.: Converting daily rainfall data to sub‑daily—introducing the MIMD method. Water Resour. Manage. 35, 3861–3871 (2021)

    Google Scholar 

  11. Copernicus EU-DEM v1.1. https://land.copernicus.eu/imagery-in-situ/eu-dem/eu-dem-v1.1. Accessed 19 May 2023

  12. Copernicus CORINE Land Cover. https://land.copernicus.eu/pan-european/corine-land-cover. Accessed 19 May 2023

  13. Climate Information Homepage. https://climateinformation.org. Accessed 19 May 2023

  14. Silva, D., et al.: Introducing non-stationarity into the development of intensity-duration-frequency curves under a changing climate. Water 13, 1008 (2021)

    Google Scholar 

  15. Scielo. https://shorturl.at/acGH5. Accessed 30 May 2023

  16. Silva, D., Simonović, S.: Development of nonstationary rainfall Intensity Duration Frequency curves for future Climate conditions. Department of Civil and Environmental Engineering, The University of Western Ontario, Canada, Report No: 106, (2020)

    Google Scholar 

  17. Markiewicz, I.: Depth–duration–frequency relationship model of extreme precipitation in flood risk assessment in the upper Vistula basin. Water 13, 3439 (2021)

    Article  Google Scholar 

  18. Millington, N., Das, S., Simonović, S.: The Comparison of GEV, Log-Pearson Type 3 and Gumbel Distributions in the Upper Thames River Watershed under Global Climate Models. Department of Civil and Environmental Engineering, The University of Western Ontario, Canada, Report No: 077, 1913-3219 (2011)

    Google Scholar 

  19. Plavšić, J., et al.: Konsistentno određivanje racunskih kiša [Consistent assessment of computational rainfall]. Vodoprivreda 4, 151–159 (2015)

    Google Scholar 

Download references

Acknowledgment

This research is supported by the Science Fund of the Republic of Serbia, Grant No. 6707, REmote WAter Quality monitoRing and INtelliGence, REWARDING.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Luka Vinokić .

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

Vinokić, L., Stojković, M., Kolaković, S. (2024). Statistical Method for the Depth-Duration-Frequency Curves Estimation Under Changing Climate: Case Study of the Južna Morava River (Serbia). In: Trajanovic, M., Filipovic, N., Zdravkovic, M. (eds) Disruptive Information Technologies for a Smart Society. ICIST 2023. Lecture Notes in Networks and Systems, vol 872. Springer, Cham. https://doi.org/10.1007/978-3-031-50755-7_24

Download citation

Publish with us

Policies and ethics