Joann F. Dixon
United States Geological Survey
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Geological Society of America Bulletin | 2006
Kevin J. Cunningham; Michael C. Sukop; Haibo Huang; Pedro F. Alvarez; H. Allen Curran; Robert A. Renken; Joann F. Dixon
A combination of cyclostratigraphic, ichnologic, and borehole geophysical analyses of continuous core holes; tracer-test analyses; and lattice Boltzmann fl ow simulations was used to quantify biogenic macroporosity and permeability of the Biscayne aquifer, southeastern Florida. Biogenic macroporosity largely manifests as: (1) ichnogenic macroporosity primarily related to postdepositional burrowing activity by callianassid shrimp and fossilization of components of their complex burrow systems (Ophiomorpha); and (2) biomoldic macroporosity originating from dissolution of fossil hard parts, principally mollusk shells. Ophiomorpha-dominated ichnofabric provides the greatest contribution to hydrologic characteristics in the Biscayne aquifer in a 345 km 2 study area. Stratiform tabular-shaped units of thalassinidean-associated macroporosity are commonly confi ned to the lower part of upward-shallowing highfrequency cycles, throughout aggradational cycles, and, in one case, they stack vertically within the lower part of a high-frequency cycle set. Broad continuity of many of the macroporous units concentrates groundwater fl ow in extremely permeable passageways, thus making the aquifer vulnerable to long-distance transport of contaminants. Ichnogenic macroporosity represents an alternative pathway for concentrated groundwater fl ow that differs considerably from standard karst fl ow-system paradigms, which describe groundwater movement through fractures and cavernous dissolution features. Permeabilities were calculated using lattice Boltzmann methods (LBMs) applied to computer renderings assembled from X-ray computed tomography scans of various biogenic macroporous limestone samples. The highest simulated LBM permeabilities were about fi ve orders of magnitude greater than standard laboratory measurements using air-permeability methods, which are limited in their application to extremely permeable macroporous rock samples. Based on their close conformance to analytical solutions for pipe fl ow, LBMs offer a new means of obtaining accurate permeability values for such materials. We suggest that the stratiform ichnogenic groundwater fl ow zones have permeabilities even more extreme (~2‐5 orders of magnitude higher) than the Jurassic “super-K” zones of the giant Ghawar oil fi eld. The fl ow zones of the Pleistocene Biscayne aquifer provide examples of ichnogenic macroporosity for comparative analysis of origin and evolution in other carbonate aquifers, as well as petroleum reservoirs.
Scientific Investigations Report | 2018
Jason C. Bellino; Eve L. Kuniansky; Andrew M. O'Reilly; Joann F. Dixon
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Open-File Report | 2017
Richard L. Marella; Darbi R. Berry; Joann F. Dixon
An accurate inventory of irrigated crop acreage is not available at the level of resolution needed to better estimate agricultural water use or to project future water demands in many Florida counties. A detailed digital map and summary of irrigated acreage was developed for Polk County, Florida, during the 2016 growing season. This cooperative project between the U.S. Geological Survey and the Office of Agricultural Water Policy of the Florida Department of Agriculture and Consumer Services is part of an effort to improve estimates of water use and projections of future demands across all counties in the State. The irrigated areas were delineated by using land-use data provided by the Florida Department of Agriculture and Consumer Services, along with information obtained from the South and Southwest Florida Water Management Districts consumptive water-use permits. Delineations were field verified between April and December 2016. Attribute data such as crop type, primary water source, and type of irrigation system were assigned to the irrigated areas. The results of this inventory and field verification indicate that during the 2016 growing seasons (spring, summer, fall, and winter), an estimated 88,652 acres were irrigated within Polk County. Of the total field-verified crops, 83,995 acres were in citrus; 2,893 acres were in other non-citrus fruit crops (blueberries, grapes, peaches, and strawberries); 621 acres were in row crops (primarily beans and watermelons); 1,117 acres were in nursery (container and tree farms) and sod production; and 26 acres were in field crops including hay and pasture. Of the total inventoried irrigated acreage within Polk County, 98 percent (86,566 acres) was in the Southwest Florida Water Management District, and the remaining 2 percent (2,086 acres) was in the South Florida Water Management District. About 85,788 acres (96.8 percent of the acreage inventoried) were irrigated by a microirrigation system, including drip, bubblers, and spray emitters. The remaining 3.2 percent of the irrigated acreage was irrigated by a sprinkler system (2,360 acres) or subsurface flood systems (504 acres). Groundwater was the primary source of water used on irrigated acreage (88 percent, or 78,050 acres); the remaining 10,602 acres (12 percent) used groundwater combined with surface water as the irrigation source. The irrigated acreage estimated by the U.S. Geological Survey (USGS) for this 2016 inventory (88,652 acres) is about 11 percent higher than the 79,869 acres estimated by the U.S. Department of Agriculture (USDA) for 2012. Citrus and pasture in Polk County show the biggest difference in irrigated acreage between the USGS and USDA totals. Irrigated citrus acreage inventoried in 2016 by the USGS totaled 83,996 acres, whereas the USDA reported 78,305 acres of citrus in 2012. The USGS identified 6 acres of irrigated pasture and 20 acres of hay, whereas the USDA reported 6,631 acres of irrigated pasture and 1,349 acres of hay for 2012. In general, differences between the 2016 USGS field-verified acreage totals and acreage published by the USDA for 2012 could be due to (1) irrigated acreage for some specific crops increased or decreased substantially during the 4-year interval between 2012 and 2016 because of production or economic changes, (2) the assumption that if an irrigation system was present, it was used in 2016, when in fact some landowners may not have used their irrigation systems during this growing period even if they had a crop in the field, or (3) the amount of irrigated acreage published by the USDA for selected crops may be underestimated as a result of how information is obtained and formulated by the agency during census compilations.
Archive | 2016
Kevin J. Cunningham; Joann F. Dixon
Synthetic seismograms provide a means to calibrate (groundtruth) seismic-reflection profiles to specific subsurface stratigraphic events observed in one-dimensional core and geophysical log data acquired from wells. Independently, Walker Marine Geophysical Company and Geokinetics Incorporated used velocity data from 13 borehole-compensated sonic logs as input for specialized geophysical software to generate 13 synthetic seismograms. Velocity data from the sonic logs were converted to a synthetic seismic trace using synthetic-seismogram production software, reproduced either 5 or 8 times, and placed side-by-side to resemble a seismic-reflection profile. For each well, the synthetic seismogram was used to relate geologic and geophysical well data to the respective seismic-reflection data. Stratigraphic and hydrogeologic interfaces were fit to the true wavelet traces on seismic-reflection profiles. Selected stratigraphic and hydrogeologic interfaces were identified on the basis of comparisons to published geologic and hydrogeologic frameworks. The direct correlation of key traces on the synthetic seismograms to seismic-reflection profiles was not a perfect fit; however, some disparity is common between synthetic seismograms and seismic-reflection profiles (Bruns and others, 1994) and in many cases is a result of imperfect modeling of synthetic seismograms.
Water Resources Research | 2008
W. Barclay Shoemaker; Kevin J. Cunningham; Eve L. Kuniansky; Joann F. Dixon
Scientific Investigations Report | 2006
Kevin J. Cunningham; Michael A. Wacker; Edward Robinson; Joann F. Dixon; G. Lynn Wingard
Circular | 2005
Robert A. Renken; Joann F. Dixon; John A. Koehmstedt; Scott Ishman; A.C. Lietz; Richard L. Marella; Pamela A. Telis; Jeff Rodgers; Steven Memberg
Hydrogeology Journal | 2009
Alyssa M. Dausman; John Doherty; Christian D. Langevin; Joann F. Dixon
Scientific Investigations Map | 2012
Eve L. Kuniansky; Jason C. Bellino; Joann F. Dixon
Data Series | 2015
Lester J. Williams; Joann F. Dixon