DOI: 10.25148/etd.fi12050240
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Development of an Integrated Surface and Subsurface Model of Everglades National Park

Abstract: analysis showed that the model was most sensitive to the hydraulic conductivity of the regional Surficial Aquifer System, the Manning's roughness coefficient, and the leakage coefficient, which defines the canal-subsurface interaction. The model offers an enhanced predictive capability, compared to other models currently available, to simulate the flow regime in ENP and to forecast the impact of topography, water flows, and modifying operation schedules.

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Cited by 4 publications
(11 citation statements)
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“…Calibration for the M3ENP was performed for several subdomains within the model domain to determine sensitive parameters such as Manning's number and hydraulic conductivity (Cook, 2012). Model best fit was evaluated using stage and discharge observed data at over 100 sites within the model domain for the 2000 to 2010 period.…”
Section: Resultsmentioning
confidence: 99%
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“…Calibration for the M3ENP was performed for several subdomains within the model domain to determine sensitive parameters such as Manning's number and hydraulic conductivity (Cook, 2012). Model best fit was evaluated using stage and discharge observed data at over 100 sites within the model domain for the 2000 to 2010 period.…”
Section: Resultsmentioning
confidence: 99%
“…Other Everglades modeling efforts focus on improved spatial and temporal resolution (Bolster and Saiers, 2002;Langevin et al, 2005), increased vertical discretization for detailed subsurface studies (Chui et al, 2011), and enhanced parameter estimations such as hydraulic resistance (Bolster and Saiers, 2002;Min et al, 2010). However, there re- (Cook, 2012) and to better understand the impacts of historical and proposed structural operations. The domain for the M3ENP model is shown in Figure 3.1.…”
Section: Modeling Effortsmentioning
confidence: 99%
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