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Heavy rainfalls in Poland and their hyetographs

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dc.abstract.enIn the light of observed variability in precipitation patterns, there is a growing need for comprehensive data mining of regularly updated rainfall recording databases. Therefore, an analysis of heavy rainfall and hyetographs was conducted using a 30-year high-resolution dataset from 100 rain gauges across Poland, covering 31 646 rainfall events. Distributions of rainfall depths, durations, and intensities were explored, and maxima were compared to global records. Spatial analysis revealed significant variations in the frequency, depths, and durations of extreme rainfall across different regions. Cluster analysis determined model hyetographs for each station. The likelihood of regions belonging to clusters with three to five model hyetographs was assessed using Indicator Kriging. Findings underscore the importance of using local, characteristics rainfalls in hydrodynamic modelling of drainage systems and future rainfall scenarios. These results provide a foundational step towards understanding and monitoring the impacts of climate change on rainfall characteristics, especially extremes, in future decades.
dc.affiliationWydział Inżynierii Środowiska i Inżynierii Mechanicznej
dc.affiliation.instituteKatedra Budownictwa i Geoinżynierii
dc.contributor.authorMikołajewski, Karol
dc.contributor.authorStach, Alfred
dc.contributor.authorRuman, Marek
dc.contributor.authorKosek, Klaudia
dc.contributor.authorKundzewicz, Zbigniew W.
dc.contributor.authorLicznar, Paweł
dc.date.access2025-10-10
dc.date.accessioned2025-10-10T12:41:47Z
dc.date.available2025-10-10T12:41:47Z
dc.date.copyright2024-09-16
dc.date.issued2025
dc.description.abstract<jats:title>Abstract</jats:title><jats:p>In the light of observed variability in precipitation patterns, there is a growing need for comprehensive data mining of regularly updated rainfall recording databases. Therefore, an analysis of heavy rainfall and hyetographs was conducted using a 30-year high-resolution dataset from 100 rain gauges across Poland, covering 31 646 rainfall events. Distributions of rainfall depths, durations, and intensities were explored, and maxima were compared to global records. Spatial analysis revealed significant variations in the frequency, depths, and durations of extreme rainfall across different regions. Cluster analysis determined model hyetographs for each station. The likelihood of regions belonging to clusters with three to five model hyetographs was assessed using Indicator Kriging. Findings underscore the importance of using local, characteristics rainfalls in hydrodynamic modelling of drainage systems and future rainfall scenarios. These results provide a foundational step towards understanding and monitoring the impacts of climate change on rainfall characteristics, especially extremes, in future decades.</jats:p>
dc.description.accesstimeat_publication
dc.description.bibliographyil., bibliogr.
dc.description.financepublication_nocost
dc.description.financecost0,00
dc.description.if5,1
dc.description.number1
dc.description.points140
dc.description.versionfinal_published
dc.description.volume54
dc.identifier.doi10.1007/S13280-024-02069-6
dc.identifier.eissn1654-7209
dc.identifier.issn0044-7447
dc.identifier.urihttps://sciencerep.up.poznan.pl/handle/item/5395
dc.identifier.weblinkhttps://link.springer.com/article/10.1007/s13280-024-02069-6
dc.languageen
dc.relation.ispartofAmbio
dc.relation.pages86-104
dc.rightsCC-BY
dc.sciencecloudnosend
dc.share.typeOTHER
dc.subject.enclassification quality assessment indices
dc.subject.encluster analysis
dc.subject.enheavy rainfalls
dc.subject.enmodel hyetographs
dc.subject.enPoland
dc.subject.enprecipitation modelling
dc.titleHeavy rainfalls in Poland and their hyetographs
dc.typeJournalArticle
dspace.entity.typePublication
oaire.citation.issue1
oaire.citation.volume54