Statistical analysis of possible trends for extreme floods in northern Sweden
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-dependen...
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ftslunivuppsala:oai:pub.epsilon.slu.se:29158 2023-05-15T17:44:11+02:00 Statistical analysis of possible trends for extreme floods in northern Sweden Rydén, Jesper 2022 application/pdf https://pub.epsilon.slu.se/29158/ https://pub.epsilon.slu.se/29158/1/ryden-j-20221007.pdf en eng eng https://pub.epsilon.slu.se/29158/1/ryden-j-20221007.pdf Rydén, Jesper (2022). Statistical analysis of possible trends for extreme floods in northern Sweden. River Research and Applications. 38 :6 , 1041-1050 [Research article] Oceanography Hydrology Water Resources Water Engineering Research article NonPeerReviewed info:eu-repo/semantics/article 2022 ftslunivuppsala 2022-10-13T16:13:51Z 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. Article in Journal/Newspaper Northern Sweden Swedish University of Agricultural Sciences (SLU): Epsilon Open Archive Kendall ENVELOPE(-59.828,-59.828,-63.497,-63.497) |
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Swedish University of Agricultural Sciences (SLU): Epsilon Open Archive |
op_collection_id |
ftslunivuppsala |
language |
English |
topic |
Oceanography Hydrology Water Resources Water Engineering |
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Oceanography Hydrology Water Resources Water Engineering Rydén, Jesper Statistical analysis of possible trends for extreme floods in northern Sweden |
topic_facet |
Oceanography Hydrology Water Resources Water Engineering |
description |
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. |
format |
Article in Journal/Newspaper |
author |
Rydén, Jesper |
author_facet |
Rydén, Jesper |
author_sort |
Rydén, Jesper |
title |
Statistical analysis of possible trends for extreme floods in northern Sweden |
title_short |
Statistical analysis of possible trends for extreme floods in northern Sweden |
title_full |
Statistical analysis of possible trends for extreme floods in northern Sweden |
title_fullStr |
Statistical analysis of possible trends for extreme floods in northern Sweden |
title_full_unstemmed |
Statistical analysis of possible trends for extreme floods in northern Sweden |
title_sort |
statistical analysis of possible trends for extreme floods in northern sweden |
publishDate |
2022 |
url |
https://pub.epsilon.slu.se/29158/ https://pub.epsilon.slu.se/29158/1/ryden-j-20221007.pdf |
long_lat |
ENVELOPE(-59.828,-59.828,-63.497,-63.497) |
geographic |
Kendall |
geographic_facet |
Kendall |
genre |
Northern Sweden |
genre_facet |
Northern Sweden |
op_relation |
https://pub.epsilon.slu.se/29158/1/ryden-j-20221007.pdf Rydén, Jesper (2022). Statistical analysis of possible trends for extreme floods in northern Sweden. River Research and Applications. 38 :6 , 1041-1050 [Research article] |
_version_ |
1766146383380742144 |