Show simple item record

dc.contributor.authorKwon, H.Y.
dc.contributor.authorGrunwald, S.
dc.contributor.authorBeck, H.
dc.contributor.authorJung, Y.
dc.date.accessioned2015-10-02T07:43:56Z
dc.date.available2015-10-02T07:43:56Z
dc.date.issued2014
dc.identifier.citationKwon, H.Y., Grunwald, S., Beck, H. and Jung, Y. 2014. Automatic calibration of a hydrologic model for simulating groundwater table fluctuations on farms in the everglades agricultural area of south Florida. Irrigation and Drainage 63(4): 538-549.en_US
dc.identifier.urihttp://hdl.handle.net/10568/68417
dc.description.abstractThe Shuffled Complex Evolution—Universal Algorithm (SCE-UA) is an automatic calibration algorithm that has shown success in finding a globally optimum objective function with more efficiency than other methods. We incorporated the SCE-UA into our novel modeling environment, utilizing an ontology-based simulation (OntoSim-Sugarcane) framework adapted to analyze groundwater table (WT) fluctuations and drainage practices on four farm basins in the Everglades Agricultural Area of south Florida. Utilizing two water years (WY96–97) of farm WT fluctuations observed at a portion (<16 ha) of each farm basin, two parameters —lateral hydraulic conductivities of soil profile and vertical hydraulic conductivity of underlying limestone—were automatically calibrated. Regardless of farms, the best parameter sets that minimize the objective function of daily root mean square error could be found after 1500 simulation runs. The quality of matching simulated to observed values of farm WT were further assessed by the Nash–Sutcliffe efficiency coefficient (NSE). The NSE ranged from 0.38 to 0.75 (calibration period, WY96–97) and 0.10 to 0.76 (validation period, WY98–99) on all four farms. These results indicate that this coupling strengthens the capability of OntoSimSugarcane to model hydrology by objectively finding the best parameter sets.
dc.language.isoenen_US
dc.publisherWiley Online Libraryen_US
dc.sourceIrrigation and Drainageen_US
dc.subjectAUTOMATIC CALIBRATIONen_US
dc.subjectHYDROLOGIC MODELen_US
dc.subjectGROUNDWATER TABLE MANAGEMENTen_US
dc.subjectEVERGLADES AGRICULTURAL AREAen_US
dc.titleAutomatic calibration of a hydrologic model for simulating groundwater table fluctuations on farms in the everglades agricultural area of south Floridaen_US
dc.typeJournal Articleen_US
cg.subject.wleGROUNDWATERen_US
cg.subject.wleHYDROLOGYen_US
cg.subject.wleAGRICULTURAL WATER MANAGEMENTen_US
cg.identifier.statusLimited Accessen_US
cg.contributor.affiliationInternational Food Policy Research Institute
cg.contributor.affiliationUniversity of Florida
cg.fulltextstatusFormally Published
cg.identifier.urlhttp://soils.ifas.ufl.edu/faculty/grunwald/home/PDFs/Kwon%20et%20al%202014%20Irrig%20and%20Drain.pdfen_US
cg.identifier.doihttps://dx.doi.org/10.1002/ird.1822en_US
cg.isijournalISI Journal
cg.contributor.crpWater, Land and Ecosystems
cg.identifier.wlethemeManaging Resource Variability and Competing Use


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record