Helicopter electromagnetic survey of the Model Land Area, Southeastern Miami-Dade County, Florida

Fitterman, David V.; Deszcz-Pan, Maria; Prinos, Scott T.

doi:10.3133/ofr20121176

Cited by 10 publications

(4 citation statements)

References 12 publications

(23 reference statements)

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“…While the cementation factor could increase, it is also well outside of the range found by Kwader (1986) for Tertiary carbonates in Florida. A formation factor of 17.0 is a large deviation from the formation factor for the Miami Oolite and those determined by Fitterman andDeszcz-Pan (2004 and2012). Considering this as well as the relating porosity and cementation factor, it appears that the SEAWAT model itself may play a part in the discrepancy below 5 m. Comparing the results to previous work suggests that the groundwater model may be inaccurate.…”

Section: Spatial Differences In Salinitysupporting

confidence: 56%

Analyzing Tidal Fluctuations in the Big Pine Key Freshwater Lens with Time-Lapse Resistivity

Tucker¹

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The tidal influence on the Big Pine Key saltwater/freshwater interface was analyzed using time-lapse electrical resistivity imaging and shallow well measurements.The transition zone at the saltwater/freshwater interface was measured over part of a tidal cycle along three profiles. The resistivity was converted to salinity by deriving a formation factor for the Miami Oolite. A SEAWAT model was created to attempt to recreate the field measurements and test previously established hydrogeologic parameters. The results imply that the tide only affects the groundwater within 20 to 30 m of the coast. The effect is small and caused by flooding from the high tide. The low relief of the island means this effect is very sensitive to small changes in the magnitude. The SEAWAT model proved to be insufficient in modeling this effect. The study suggests that the extent of flooding is the largest influence on the salinity of the groundwater.iv

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Section: Spatial Differences In Salinitysupporting

confidence: 56%

Analyzing Tidal Fluctuations in the Big Pine Key Freshwater Lens with Time-Lapse Resistivity

Tucker¹

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“…These areas were previously mapped by using helicopter electromagnetic surveys (Fitterman and Prinos, 2012) and time-domain electromagnetic soundings (Fitterman and others, 2011). Monitoring in these areas currently consists of only a few wells that are too far from the expected current location of the interface to provide relevant information.…”

Section: Monitoring Network Improvementsmentioning

confidence: 99%

Map of the approximate inland extent of saltwater at the base of the Biscayne aquifer in the Model Land Area of Miami-Dade County, Florida, 2016

Prinos¹

2017

Scientific Investigations Map

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“…Among these aforementioned prospective geophysics methods, the direct-current electrical resistivity (ER) method is the most highly efficient in groundwater studies. The ER method uniqueness in the field of hydrogeophysics is such that it has ability to map both geological layers as well as determining the nature and composition of unseen subsurface formations (Fitterman et al, 2012;Hinnell et al, 2010). Besides, there exist a close relationship between the ER method's interpreted geoelectrical parameters and the physical electrical conductivity properties of the subsurface formations.…”

Section: Introductionmentioning

confidence: 99%

Modeling of geoelectric parameters for assessing groundwater potentiality in a multifaceted geologic terrain, Ipinsa Southwest, Nigeria – A GIS-based GODT approach

Mogaji

Omobude

2017

NRIAG Journal of Astronomy and Geophysics

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Modeling of groundwater potentiality zones is a vital scheme for effective management of groundwater resources. This study developed a new multi-criteria decision making algorithm for groundwater potentiality modeling through modifying the standard GOD model. The developed model christened as GODT model was applied to assess groundwater potential in a multi-faceted crystalline geologic terrain, southwestern, Nigeria using the derived four unify groundwater potential conditioning factors namely: Groundwater hydraulic confinement (G), aquifer Overlying strata resistivity (O), Depth to water table (D) and Thickness of aquifer (T) from the interpreted geophysical data acquired in the area. With the developed model algorithm, the GIS-based produced G, O, D and T maps were synthesized to estimate groundwater potential index (GWPI) values for the area. The estimated GWPI values were processed in GIS environment to produce groundwater potential prediction index (GPPI) map which demarcate the area into four potential zones. The produced GODT model-based GPPI map was validated through application of both correlation technique and spatial attribute comparative scheme (SACS). The performance of the GODT model was compared with that of the standard analytic hierarchy process (AHP) model. The correlation technique results established 89% regression coefficients for the GODT modeling algorithm compared with 84% for the AHP model. On the other hand, the SACS validation results for the GODT and AHP models are 72.5% and 65%, respectively. The overall results indicate that both models have good capability for predicting groundwater potential zones with the GIS-based GODT model as a good alternative. The GPPI maps produced in this study can form part of decision making model for environmental planning and groundwater management in the area.

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Helicopter electromagnetic survey of the Model Land Area, Southeastern Miami-Dade County, Florida

Cited by 10 publications

References 12 publications

Analyzing Tidal Fluctuations in the Big Pine Key Freshwater Lens with Time-Lapse Resistivity

Analyzing Tidal Fluctuations in the Big Pine Key Freshwater Lens with Time-Lapse Resistivity

Map of the approximate inland extent of saltwater at the base of the Biscayne aquifer in the Model Land Area of Miami-Dade County, Florida, 2016

Modeling of geoelectric parameters for assessing groundwater potentiality in a multifaceted geologic terrain, Ipinsa Southwest, Nigeria – A GIS-based GODT approach

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