Using Geospatial Analysis and Hydrologic Modeling to Estimate Climate Change Impacts on Nitrogen Export: Case Study for a Forest and Pasture Dominated Watershed in North Carolina

Basit Öğe Kaydı
dc.authoridErcan, Mehmet B/0000-0002-6799-8990
dc.authoridGoodall, Jonathan/0000-0002-1112-4522
dc.authoridZahura, Faria/0000-0001-9005-9951
dc.authorwosidAlam, J/Q-6342-2018
dc.authorwosidErcan, Mehmet B./ABG-8062-2020
dc.authorwosidErcan, Mehmet B/E-9141-2010
dc.authorwosidGoodall, Jonathan/B-3663-2009
dc.contributor.authorAlam, Md Jahangir
dc.contributor.authorErcan, Mehmet B.
dc.contributor.authorZahura, Faria Tuz
dc.contributor.authorGoodall, Jonathan L.
dc.date.accessioned2024-08-04T20:46:47Z
dc.date.available2024-08-04T20:46:47Z
dc.date.issued2018
dc.departmentİnönü Üniversitesien_US
dc.description.abstractMany watersheds are currently experiencing streamflow and water quality related problems that are caused by excess nitrogen. Given that weather is a major driver of nitrogen transport through watersheds, the objective of this study was to predict climate change impacts on streamflow and nitrogen export. A forest and pasture dominated watershed in North Carolina Piedmont region was used as the study area. A physically-based Soil and Water Assessment Tool (SWAT) model parameterized using geospatial data layers and spatially downscaled temperature and precipitation estimates from eight different General Circulation Models (GCMs) were used for this study. While temperature change predictions are fairly consistent across the GCMs for the study watershed, there is significant variability in precipitation change predictions across the GCMs, and this leads to uncertainty in the future conditions within the watershed. However, when the downscaled GCM projections were taken as a model ensemble, the results suggest that both high and low emission scenarios would result in an average increase in streamflow of 14.1% and 12.5%, respectively, and a decrease in the inorganic nitrogen export by 12.1% and 8.5%, respectively, by the end of the century. The results also show clear seasonal patterns with streamflow and nitrogen loading both increasing in fall and winter months by 97.8% and 50.8%, respectively, and decreasing by 20.2% and 35.5%, respectively, in spring and summer months by the end of the century.en_US
dc.description.sponsorshipUnited States National Science Foundation (NSF) [CBET-0846244]en_US
dc.description.sponsorshipThe research was funded in part by the United States National Science Foundation (NSF) through award number CBET-0846244.en_US
dc.identifier.doi10.3390/ijgi7070280
dc.identifier.issn2220-9964
dc.identifier.issue7en_US
dc.identifier.scopus2-s2.0-85072569789en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.3390/ijgi7070280
dc.identifier.urihttps://hdl.handle.net/11616/98963
dc.identifier.volume7en_US
dc.identifier.wosWOS:000445150900047en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherMdpien_US
dc.relation.ispartofIsprs International Journal of Geo-Informationen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectclimate changeen_US
dc.subjectnitrogenen_US
dc.subjectenvironmental modelingen_US
dc.subjectSWATen_US
dc.subjectGISen_US
dc.titleUsing Geospatial Analysis and Hydrologic Modeling to Estimate Climate Change Impacts on Nitrogen Export: Case Study for a Forest and Pasture Dominated Watershed in North Carolinaen_US
dc.typeArticleen_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu