RiTiCE: River Flow Timing Characteristics and Extremes in the Arctic Region

Author:

Jalali Shahrood Abolfazl1ORCID,Ahrari Amirhossein1,Rossi Pekka M.1,Klöve Björn1,Torabi Haghighi Ali1ORCID

Affiliation:

1. Water, Energy and Environmental Engineering Research Unit, University of Oulu, P.O. Box 8000 Oulu, Finland

Abstract

(1) Background: river ice has a significant impact on nearly 66% of rivers in the Northern Hemisphere. Ice builds up during winter when the flow gradually reduces to its lowest level before the spring melt is initiated. Ice-induced floods can happen quickly, posing a risk to infrastructure, hydropower generation, and public safety, in addition to ecological repercussions from the scouring and erosion of the riverbeds. (2) Methods: we used the annual daily hydrograph to develop a RiTiCE tool that detects the break-up date and develops indices to analyze timing characteristics of extreme flow in the Tana and Tornio Rivers. (3) Results: the study showed that low-flow periods in two rivers had a significant trend with a confidence level of 95%. Additionally, it was observed that the occurrence date of seasonal 90-day low- and high-flow periods occurred earlier in recent years. Conversely, the Tana River showed a negative trend in its annual minimum flow over the century, which is the opposite of what happened with the Tornio River. (4) Conclusions: the method can be used to detect the date when the river ice breaks up in a given year, leading to a better understanding of the river ice phenomenon.

Funder

University of Oulu & the Academy of Finland Profi4 TTK Arcl

Maa- ja vesitekniikan tuki ry

Publisher

MDPI AG

Subject

Water Science and Technology,Aquatic Science,Geography, Planning and Development,Biochemistry

Reference29 articles.

1. Beltaos, S. (1995). River Ice Jams, Water Resources Publication.

2. Internal structure and sources of selected ice jams on the lower Vistula River;Pawlowski;Hydrol. Process.,2016

3. The past and future of global river ice;Yang;Nature,2020

4. Climate impacts on extreme ice-jam events in Canadian rivers;Beltaos;Hydrol. Sci. J.,2001

5. Chokmani, K., Khalil, B., Ouarda, T., and Bourdages, R. (2007, January 19–22). Estimation of river ice thickness using artificial neural networks. Proceedings of the 14th Workshop Hydraulics Ice Covered Rivers, CGU HS/CRIPE, Quebec City, QC, Canada.

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