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MODFLOW and MODFLOW Conduit Flow Process data sets for simulation experiments of the Woodville Karst Plain, near Tallahassee, Florida with three different approaches and different stress periods

Metadata Updated: January 7, 2026

This Data Release has 18 different groundwater flow simulation applications for the Woodville Karst Plain area near Tallahassee Florida with three variations of distributed parameter model approach. The site model files provided include both calibrated and uncalibrated simulations of various steady-state and transient hydrologic conditions. Simulations were accomplished with equivalent porous media models that allow laminar flow only (MODFLOW) or laminar and non-laminar flow in a model layer (MODFLOW-CFP mode 2) and hybrid model simulations (MODFLOW-CFP mode 1 one-dimensional pipe network linked to equivalent porous media model). The test examples of the application of equivalent porous media model (the sponge) with and without turbulence and a hybrid model (sponge with pipes) to the Woodville Karst Plain near Tallahassee, Florida, indicated that for annual, monthly, or seasonal average hydrologic conditions, all methods met calibration criteria (matched observed water levels and average flow). Thus, the increased effort, such as the collection of data on conduit location and the computational time of a hybrid model, is not necessary for simulation of average hydrologic conditions (simulation of non-laminar flow was not critical). However, simulation of a large storm event in the Woodville Karst Plain with daily stress periods (52-day period beginning August 13, 2008) indicated that turbulence is important for matching daily springflow hydrographs and models calibrated to average conditions did not match daily storm spring hydrographs. All models were developed from an equivalent porous media model for the area calibrated by J. Hal Davis, USGS, Tallahasee Florida Office that is documented in Davis, J.H., Katz, B.G., and Griffin, D.W., 2010, Nitrate-N movement in groundwater from the land application of treated municipal wastewater and other sources in the Wakulla Springs springshed, Leon and Wakulla Counties, Florida, 1966–2018: U.S. Geological Survey Scientific Investigations Report 2010–5099, 90 p. (https://pubs.usgs.gov/sir/2010/5099/). The hybrid model was developed by Josue J. Gallegos and documented in Gallegos, J.J., Hu, B.X., and Davis, Hal, 2013, Simulating flow in karst aquifers at laboratory and sub-regional scales using MODFLOW-CFP: Hydrogeology Journal, v. 21, no. 8, p. 1749–1760.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Dates

Metadata Created Date January 7, 2026
Metadata Updated Date January 7, 2026

Metadata Source

Harvested from DOI USGS DCAT-US

Additional Metadata

Resource Type Dataset
Metadata Created Date January 7, 2026
Metadata Updated Date January 7, 2026
Publisher U.S. Geological Survey
Maintainer
Identifier http://datainventory.doi.gov/id/dataset/USGS_db10c477-1304-4695-ace9-2ab50bed6212
Data Last Modified 2020-11-17T00:00:00Z
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://ddi.doi.gov/usgs-data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 0fccb6e8-fb11-4e39-94b7-b465daa6c8b9
Harvest Source Id 2b80d118-ab3a-48ba-bd93-996bbacefac2
Harvest Source Title DOI USGS DCAT-US
Metadata Type geospatial
Old Spatial -84.47830504, 30.05139406, -84.06306787, 30.44950966
Source Datajson Identifier True
Source Hash b7e6eeb04e6531b10038e66367a36d4d140bda86e25ef0d63a4f66b21a97c821
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -84.47830504, 30.05139406, -84.47830504, 30.44950966, -84.06306787, 30.44950966, -84.06306787, 30.05139406, -84.47830504, 30.05139406}

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