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| Created: | Feb 08, 2023 at 5:12 a.m. | |
| Last updated: | Feb 08, 2023 at 5:13 a.m. | |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
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Abstract
Development of any numerical ground-water model is dependent on hydrogeologic data describing the subsurface. These data are obtained from geologic core analyses, stratigraphic analyses, aquifer performance tests, and geophysical studies. But typically in remote areas, these types of data are very sparse and site-specific in terms of the aerial extent of the resource to be modeled. Uncertainties exist as to how well the available data from a few locations defines a heterogeneous surficial aquifer such as the Biscayne Aquifer in Miami-Dade County, Florida. This is particularly the case when an exceptionally conductive horizontal flow zone is detected at one site due to specialized testing that was not historically conducted at the other at sites that provided data for the model. Not adequately accounting for the potential effect of the high flow zone in the aquifer within a ground-water numerical model, even though the zone may be of very limited thickness, might underpredict the well field protection capture boundaries. Applied Stochastic ground-water modeling in determining well field protection zones is steadily becoming important in addressing the uncertainty of the hydrogeologic subsurface parameters, specifically in karstic heterogeneous aquifers. This is particularly important in addressing the uncertainty of a 60-day travel time capture zone in the Northwest Well Field, Miami-Dade County, where a predominantly high flow zone controls much of the flow in the production wells. A stochastic ground-water modeling application along with combination of pilot points and regularization technique is presented to further consolidate the uncertainty of the subsurface.
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Additional Metadata
| Name | Value |
|---|---|
| DOI | 10.1111/j.1752-1688.2008.00191.x |
| Depth | 46 |
| Scale | 101 - 1 000 km² |
| Layers | 9 |
| Purpose | Groundwater resources;Decision support;Well field protection zone |
| GroMoPo_ID | 232 |
| IsVerified | True |
| Model Code | MODFLOW |
| Model Link | https://doi.org/10.1111/j.1752-1688.2008.00191.x |
| Model Time | SS |
| Model Year | 2008 |
| Model Authors | Guha, H |
| Model Country | United States |
| Data Available | Report/paper only |
| Developer Email | hguha@lbgct.com |
| Dominant Geology | Carbonate (including karst) |
| Developer Country | USA |
| Publication Title | A stochastic modeling approach to address hydrogeologic uncertainties in modeling wellhead protection boundaries in karst aquifers |
| Original Developer | No |
| Additional Information | |
| Integration or Coupling | |
| Evaluation or Calibration | Static water levels |
| Geologic Data Availability | No |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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