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The effects of extremes and temporal scale on multifractal properties of river flow time series

Hekmatzadeh, Ali Akbar; Torabi Haghighi, Ali; Hosseini Guyomi, Kianoosh; Amiri, Seyed Mehrab; Kløve, Bjørn (2019-11-19)

 
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https://doi.org/10.1002/rra.3550

Hekmatzadeh, Ali Akbar
Torabi Haghighi, Ali
Hosseini Guyomi, Kianoosh
Amiri, Seyed Mehrab
Kløve, Bjørn
John Wiley & Sons
19.11.2019

Hekmatzadeh, AA, Torabi Haghighi, A, Hosseini Guyomi, K, Amiri, SM, Kløve, B. The effects of extremes and temporal scale on multifractal properties of river flow time series. River Res Applic. 2020; 36: 171– 182. https://doi.org/10.1002/rra.3550

https://rightsstatements.org/vocab/InC/1.0/
© 2019 John Wiley & Sons, Ltd. This is the peer reviewed version of the following article: Hekmatzadeh, AA, Torabi Haghighi, A, Hosseini Guyomi, K, Amiri, SM, Kløve, B. The effects of extremes and temporal scale on multifractal properties of river flow time series. River Res Applic. 2020; 36: 171– 182, which has been published in final form at https://doi.org/10.1002/rra.3550. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving."
https://rightsstatements.org/vocab/InC/1.0/
doi:https://doi.org/10.1002/rra.3550
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https://urn.fi/URN:NBN:fi-fe2019112243732
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Abstract

For accurate forecasting of extreme events in rivers, streamflow time series with sub‐daily temporal resolution (1–6 hour) are preferable, but discharge time series for long rivers are usually available at daily or monthly resolution. In this study, the scaling properties of hourly and daily streamflow time series were measured. As an innovation, the effects of extreme values on the multifractal behavior of these series were evaluated. Interestingly, both hourly and daily discharge records led to nearly identical scaling trends and identical crossover times. Daily and hourly discharge time series appeared to be non‐stationary when the timescale ranged from 75 to 366 days. Otherwise, the signals may be considered stationary time series. In addition, the results indicated that the extreme values strongly contribute to the multifractality of the series. The width of singularity spectra decreased considerably when the extreme events were removed from both hourly and daily discharge records.

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