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Statistical analysis of possible trends for extreme floods in northern Sweden
Responsible organisation
2022 (English)In: River Research and Applications, ISSN 1535-1467, Vol. 38, no 6, p. 1041-1050Article in journal (Refereed) Published
Abstract [en]

With ongoing climate change, analysis of trends in maximum annual daily river flow is of interest. Flow magnitude and timing during the year were investigated in this study. Observations from 11 unregulated rivers in northern Sweden were analysed, using extreme-value distributions with time-dependent parameters. The Mann–Kendall test was used to investigate possible trends. The extreme-value statistics revealed no significant trends for the stations considered, but the Mann–Kendall test showed a significant upward trend for some stations. For timing of maximum flow (day of the year), the Mann–Kendall test revealed significant downward trends for two stations (with the longest records). This implies that the day of the maximum flow is occurring earlier in the year in northern Sweden.

Place, publisher, year, edition, pages
2022. Vol. 38, no 6, p. 1041-1050
Keywords [en]
extreme values, GEV distribution, river discharge, stationarity, trend detection
National Category
Probability Theory and Statistics Water Engineering Oceanography, Hydrology and Water Resources
Identifiers
URN: urn:nbn:se:polar:diva-8912DOI: 10.1002/rra.3980OAI: oai:DiVA.org:polar-8912DiVA, id: diva2:1715938
Available from: 2022-12-04 Created: 2022-12-04 Last updated: 2022-12-04Bibliographically approved

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Publisher's full texthttps://onlinelibrary.wiley.com/doi/abs/10.1002/rra.3980
Probability Theory and StatisticsWater EngineeringOceanography, Hydrology and Water Resources

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  • apa
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