Nutrient Dynamics in Flooded Wetlands. II: Model Application

dc.contributor.authorKalın, Latif
dc.contributor.authorHantush, Mohamed M.
dc.contributor.authorIşık, Sabahattin
dc.contributor.authorYücekaya, Ahmet
dc.contributor.authorJordan, T.
dc.date.accessioned2019-06-27T08:03:17Z
dc.date.available2019-06-27T08:03:17Z
dc.date.issued2013
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.description.abstractIn this paper the authors applied and evaluated the wetland nutrient model that was described in Paper I. Hydrologic and water quality data from a small restored wetland located on Kent Island Maryland which is part of the Delmarva Peninsula on the eastern shores of the Chesapeake Bay was used for this purpose. The model was assessed through various methods against the observed data in simulating nitrogen (N) phosphorus (P) and total suspended sediment (TSS) dynamics. Time series plots of observed and simulated concentrations and loads generally compared wellen_US]
dc.description.abstractbetter performance was demonstrated with dissolved forms of nitrogen i.e.ammonia and nitrate. Through qualitative and quantitative sensitivity analysis dominant processes in the study wetland were scrutinized. Nitrification plant uptake and mineralization were the most important processes affecting ammonia. Denitrification in the sediment layer and diffusion to bottom sediments were identified as key processes for nitrate. Settling and resuspension were the most important processes for particulate matter (organic N sediment) and sediment-bound phosphate (inorganic P). Order of parameter sensitivities and dominant processes exhibited seasonality. Uncertainty bands created from Monte Carlo simulations showed that parameter uncertainty is relatively smallen_US]
dc.description.abstracthowever uncertainty in the wetland inflow rates and loading concentrations have much more bearing on model predictive uncertainty. N P and TSS mass balance analysis showed that the wetland removed approximately 23 33 and 46% respectively of the incoming load (runoff + atmospheric deposition) over the two-year period with more removal in year 1 (34 43 and 55% respectively) which had a long stretch of a dry period. The developed model can be employed for exploring wetland response to various climatic and input conditions and for deeper understanding of key processes in wetlands.en_US]
dc.identifier.citation8
dc.identifier.doi10.1061/(ASCE)HE.1943-5584.0000750en_US
dc.identifier.endpage1738
dc.identifier.issn1084-0699en_US
dc.identifier.issn1943-5584en_US
dc.identifier.issn1084-0699
dc.identifier.issn1943-5584
dc.identifier.issue12
dc.identifier.scopus2-s2.0-84888023143en_US
dc.identifier.scopusqualityQ2
dc.identifier.startpage1724en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12469/766
dc.identifier.urihttps://doi.org/10.1061/(ASCE)HE.1943-5584.0000750
dc.identifier.volume18en_US
dc.identifier.wosWOS:000334026600015en_US
dc.identifier.wosqualityN/A
dc.institutionauthorYücekaya, Ahmeten_US
dc.language.isoenen_US
dc.publisherASCE-AMER SOC CIVIL ENGINEERSen_US
dc.relation.journalJournal Of Hydrologic Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectFloodsen_US
dc.subjectWetlandsen_US
dc.subjectWater qualityen_US
dc.subjectSedimenten_US
dc.subjectNitrogenen_US
dc.subjectPhosphorusen_US
dc.subjectNitrificationen_US
dc.subjectDenitrificationen_US
dc.subjectAmmoniaen_US
dc.subjectNitratesen_US
dc.subjectVegetationen_US
dc.subjectChesapeake Bayen_US
dc.subjectWetlanden_US
dc.subjectWater qualityen_US
dc.subjectModelen_US
dc.subjectSedimenten_US
dc.subjectNitrogenen_US
dc.subjectPhosphorusen_US
dc.subjectNitrificationen_US
dc.subjectDenitrificationen_US
dc.subjectAmmoniaen_US
dc.subjectNitrateen_US
dc.subjectAlgaeen_US
dc.subjectPlant growthen_US
dc.titleNutrient Dynamics in Flooded Wetlands. II: Model Applicationen_US
dc.typeArticleen_US
dspace.entity.typePublication

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