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dc.contributor.authorBoyacıoğlu, Hülyaen_US
dc.contributor.authorGunecti, Mert Canen_US
dc.contributor.authorBarbaros, Filizen_US
dc.contributor.authorGül, Alien_US
dc.contributor.authorGül, Gülay Onuşluelen_US
dc.contributor.authorÖztürk, Tuğbaen_US
dc.contributor.authorKurnaz, M. Leventen_US
dc.date.accessioned2024-02-27T14:33:08Z
dc.date.available2024-02-27T14:33:08Z
dc.date.issued2024-03
dc.identifier.citationBoyacıoğlu, H., Gunecti, M. C., Barbaros, F., Gül, A., Gül, G. O., Öztürk, T. & Kurnaz, M. L. (2024). Impact of climate change and land cover dynamics on nitrate transport to surface waters. Environmental Monitoring and Assessment, 196(3), 1-15. doi:10.1007/s10661-024-12402-xen_US
dc.identifier.issn0167-6369en_US
dc.identifier.issn1573-2959en_US
dc.identifier.urihttps://hdl.handle.net/11729/5906
dc.identifier.urihttp://dx.doi.org/10.1007/s10661-024-12402-x
dc.descriptionThis research was supported by the 1003 Programme of the Scientific and Technological Research Council of Turkey (TUBITAK) under Grant Agreement No 116Y423.en_US
dc.description.abstractThe study investigated the impact of climate and land cover change on water quality. The novel contribution of the study was to investigate the individual and combined impacts of climate and land cover change on water quality with high spatial and temporal resolution in a basin in Turkey. The global circulation model MPI-ESM-MR was dynamically downscaled to 10-km resolution under the RCP8.5 emission scenario. The Soil and Water Assessment Tool (SWAT) was used to model stream flow and nitrate loads. The land cover model outputs that were produced by the Land Change Modeler (LCM) were used for these simulation studies. Results revealed that decreasing precipitation intensity driven by climate change could significantly reduce nitrate transport to surface waters. In the 2075–2100 period, nitrate-nitrogen (NO3-N) loads transported to surface water decreased by more than 75%. Furthermore, the transition predominantly from forestry to pastoral farming systems increased loads by about 6%. The study results indicated that fine-resolution land use and climate data lead to better model performance. Environmental managers can also benefit greatly from the LCM-based forecast of land use changes and the SWAT model’s attribution of changes in water quality to land use changes. Graphical abstract: (Figure presented.).en_US
dc.description.sponsorshipTürkiye Bilimsel ve Teknolojik Araştırma Kurumuen_US
dc.language.isoenen_US
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.relation.ispartofEnvironmental Monitoring and Assessmenten_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectClimate changeen_US
dc.subjectSWAT modelen_US
dc.subjectWater quality modelingen_US
dc.subjectRiver-basinen_US
dc.subjectQualityen_US
dc.subjectHydrologyen_US
dc.subjectModeleren_US
dc.subjectRegionen_US
dc.titleImpact of climate change and land cover dynamics on nitrate transport to surface watersen_US
dc.typeArticleen_US
dc.description.versionPublisher's Versionen_US
dc.departmentIşık Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Fizik Bölümüen_US
dc.departmentIşık University, Faculty of Engineering and Natural Sciences, Department of Physicsen_US
dc.authorid0000-0001-8598-8596
dc.authorid0000-0001-8598-8596en_US
dc.identifier.volume196
dc.identifier.issue3
dc.identifier.startpage1
dc.identifier.endpage15
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.institutionauthorÖztürk, Tuğbaen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.indekslendigikaynakScience Citation Index Expanded (SCI-EXPANDED)en_US
dc.identifier.wosqualityQ3
dc.identifier.wosqualityQ3en_US
dc.identifier.wosWOS:001163189300002
dc.identifier.wosWOS:001163189300002en_US
dc.identifier.pmidPMID:38358427
dc.identifier.pmid38358427en_US
dc.identifier.scopus2-s2.0-85185222112en_US
dc.identifier.doi10.1007/s10661-024-12402-x
dc.identifier.scopusqualityQ2en_US


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