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dc.contributor.authorKırdemir, Umut
dc.contributor.authorOkkan, Umut
dc.contributor.authorFıstıkoğlu, Okan
dc.date.accessioned2023-09-12T13:00:06Z
dc.date.available2023-09-12T13:00:06Z
dc.date.issued2022en_US
dc.identifier.issn2040-2244 / 2408-9354
dc.identifier.urihttps://doi.org/10.2166/wcc.2022.109
dc.identifier.urihttps://hdl.handle.net/20.500.12462/13359
dc.descriptionKırdemir, Umut (Balikesir Author)en_US
dc.description.abstractDue to climatological changes, a study was conducted in the Gediz Basin, Turkey, where agricultural production holds an important place. In the study prepared, 12 general circulation models (GCMs) were utilized under representative concentration pathway (RCP)4.5, RCP6.0, and RCP8.5 scenarios of the fifth assessment report (AR5) of IPCC for the period 2015–2050. The statistical downscaling methods were employed and the projections were derived right after applying the weighted-averaged ensemble mean by the Bayesian Model Averaging (BMA) method and bias correction by equidistant quantile mapping (EDQM). The temperature-based potential evapotranspiration (PET) formulas were modified in accordance with the Penman–Monteith method and the aridity indexes were calculated by UNEP’s formula. According to the projections, the mean annual temperature increases between 1.5 and 2.2 °C and the mean total annual PET increases between 5 and 8% are foreseen in the Gediz Basin for the near future. It is foreseen that a semi-arid climate regime may predominate over the region for all of the RCP scenarios under the increasing dryness in basin climate. In addition, it was obtained in the study that sub-humid climate state occurrence for all of the regions included by the basin may be unexpected in the future for the RCP8.5 scenario. The presence of semiarid climate conditions may be more potent with the increasing trend of radiative forcing over time.en_US
dc.language.isoengen_US
dc.publisherIwa Publishingen_US
dc.relation.isversionof10.2166/wcc.2022.109en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subjectAridity Indexen_US
dc.subjectBayesian Model Averagingen_US
dc.subjectEquidistant Quantile Mappingen_US
dc.subjectStatistical Downscalingen_US
dc.titleProjecting aridity from statistically downscaled and bias-corrected variables for the Gediz Basin, Turkeyen_US
dc.typearticleen_US
dc.relation.journalJournal of Water and Climate Changeen_US
dc.contributor.departmentMühendislik Fakültesien_US
dc.contributor.authorID0000-0002-9483-1563en_US
dc.contributor.authorID0000-0001-5336-4842en_US
dc.identifier.volume13en_US
dc.identifier.issue8en_US
dc.identifier.startpage3061en_US
dc.identifier.endpage3082en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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