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Statistical analysis of possible trends for extreme floods in northern Sweden
Author(s) -
Rydén Jesper
Publication year - 2022
Publication title -
river research and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.679
H-Index - 94
eISSN - 1535-1467
pISSN - 1535-1459
DOI - 10.1002/rra.3980
Subject(s) - trend analysis , extreme value theory , environmental science , climate change , generalized extreme value distribution , climatology , physical geography , flow (mathematics) , hydrology (agriculture) , statistics , geography , geology , mathematics , oceanography , geometry , geotechnical engineering
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.