Automatic calibration of a hydrologic model for simulating groundwater table fluctuations on farms in the everglades agricultural area of south Florida
The 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-bas...
| Autores principales: | , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Wiley
2014
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/68417 |
| _version_ | 1855526597343313920 |
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| author | Kwon, Ho-Young Grunwald, S. Beck, H. Jung, Yunchul |
| author_browse | Beck, H. Grunwald, S. Jung, Yunchul Kwon, Ho-Young |
| author_facet | Kwon, Ho-Young Grunwald, S. Beck, H. Jung, Yunchul |
| author_sort | Kwon, Ho-Young |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The 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 OntoSim-Sugarcane to model hydrology by objectively finding the best parameter sets. |
| format | Journal Article |
| id | CGSpace68417 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2014 |
| publishDateRange | 2014 |
| publishDateSort | 2014 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| spelling | CGSpace684172025-05-01T21:01:41Z Automatic calibration of a hydrologic model for simulating groundwater table fluctuations on farms in the everglades agricultural area of south Florida Kwon, Ho-Young Grunwald, S. Beck, H. Jung, Yunchul automatic calibration hydrologic model groundwater table management everglades agricultural area The 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 OntoSim-Sugarcane to model hydrology by objectively finding the best parameter sets. 2014-10 2015-10-02T07:43:56Z 2015-10-02T07:43:56Z Journal Article https://hdl.handle.net/10568/68417 en Limited Access Wiley Kwon, 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. |
| spellingShingle | automatic calibration hydrologic model groundwater table management everglades agricultural area Kwon, Ho-Young Grunwald, S. Beck, H. Jung, Yunchul Automatic calibration of a hydrologic model for simulating groundwater table fluctuations on farms in the everglades agricultural area of south Florida |
| title | Automatic calibration of a hydrologic model for simulating groundwater table fluctuations on farms in the everglades agricultural area of south Florida |
| title_full | Automatic calibration of a hydrologic model for simulating groundwater table fluctuations on farms in the everglades agricultural area of south Florida |
| title_fullStr | Automatic calibration of a hydrologic model for simulating groundwater table fluctuations on farms in the everglades agricultural area of south Florida |
| title_full_unstemmed | Automatic calibration of a hydrologic model for simulating groundwater table fluctuations on farms in the everglades agricultural area of south Florida |
| title_short | Automatic calibration of a hydrologic model for simulating groundwater table fluctuations on farms in the everglades agricultural area of south Florida |
| title_sort | automatic calibration of a hydrologic model for simulating groundwater table fluctuations on farms in the everglades agricultural area of south florida |
| topic | automatic calibration hydrologic model groundwater table management everglades agricultural area |
| url | https://hdl.handle.net/10568/68417 |
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