Publication:
Investigation of Rain-On Floods Under Climate Change

dc.authorscopusid57207685341
dc.authorscopusid23096457300
dc.authorscopusid57209021291
dc.authorscopusid56019823000
dc.contributor.authorSezen, S.
dc.contributor.authorSraj, M.
dc.contributor.authorMedved, A.
dc.contributor.authorBezak, N.
dc.date.accessioned2020-06-21T12:18:32Z
dc.date.available2020-06-21T12:18:32Z
dc.date.issued2020
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Sezen] Cenk, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Sraj] Mojca, Univerza v Ljubljani, Ljubljana, Slovenia; [Medved] Anže, Slovenian Environment Agency, Ljubljana, Slovenia; [Bezak] Nejc, Univerza v Ljubljani, Ljubljana, Sloveniaen_US
dc.description.abstractRain-on-snow (ROS) floods can cause economic damage and endanger human lives due to the compound effect of rainfall and snowmelt, especially under climate change. In this study, possible future changes of seasonality, magnitude and frequency characteristics of ROS floods were investigated for the selected catchments in Slovenia, Europe. For this purpose, five global/regional climate models (GCM/RCM) combinations were applied using the RCP4.5 climate scenario for the period 1981-2100. To determine ROS floods' characteristics in the future, a lumped conceptual hydrological model Genie Rural a 6 parametres Journalier (GR6J) with snow module CemaNeige was applied. The results indicate that the number of ROS floods could increase in the future. Moreover, also the magnitudes of extreme ROS floods could increase, while a slight decrease in the median values of ROS flood magnitudes was observed. The strength of seasonality for a high-altitude catchment could decrease in the future. A slight shift in the average ROS floods' timing could be expected. Furthermore, a catchment located in a temperate continental climate could have a different response to the climate change impact in comparison to a catchment located in a mountain climate with alpine characteristics. Additionally, differences among investigated climate models show a large variability. © 2020 by the authors.en_US
dc.identifier.doi10.3390/app10041242
dc.identifier.issn2076-3417
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85081223691
dc.identifier.scopusqualityQ3
dc.identifier.urihttps://doi.org/10.3390/app10041242
dc.identifier.volume10en_US
dc.identifier.wosWOS:000525287900049
dc.identifier.wosqualityQ2
dc.language.isoenen_US
dc.publisherMDPI AG membranes@mdpi.comen_US
dc.relation.ispartofApplied Sciences-Baselen_US
dc.relation.journalApplied Sciences-Baselen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectClimate Changeen_US
dc.subjectCompound Eventsen_US
dc.subjectHydrological Modellingen_US
dc.subjectLumped Modelen_US
dc.subjectPeak Dischargesen_US
dc.subjectRain-on-Snow Floodsen_US
dc.titleInvestigation of Rain-On Floods Under Climate Changeen_US
dc.typeArticleen_US
dspace.entity.typePublication

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