Publications
Scientific reports, journal articles, or general interest publications by USGS scientists in the Oklahoma-Texas Water Science Center are listed below. Publications span from 1898 to the present.
Filter Total Items: 1551
Continuous monitoring and temporal variability of fluorescence of dissolved organic matter in karst groundwater of the Edwards aquifer, south-central Texas, 2019–24 Continuous monitoring and temporal variability of fluorescence of dissolved organic matter in karst groundwater of the Edwards aquifer, south-central Texas, 2019–24
Widespread urbanization on the Edwards aquifer recharge zone in south-central Texas has prompted the development of new approaches and tools for evaluating the current and future status of water quality in the San Antonio and Barton Springs segments of the Edwards aquifer. The U.S. Geological Survey, in cooperation with the San Antonio Water System and the City of Austin, applied...
Authors
Stephen P. Opsahl, MaryLynn Musgrove, Lisa L. Ashmore, Ben T. Jeffries
Streamflow, base-flow, and precipitation trends and simulated effects of groundwater withdrawals from the North Fork Red River aquifer on base flows upgradient from Lake Altus, western Oklahoma, 1980–2022 Streamflow, base-flow, and precipitation trends and simulated effects of groundwater withdrawals from the North Fork Red River aquifer on base flows upgradient from Lake Altus, western Oklahoma, 1980–2022
The U.S. Geological Survey, in cooperation with the Bureau of Reclamation, used five scenarios created from a previously published numerical groundwater-flow model (1980–2013) and historical streamflow records (1980–2022) to investigate the relation between groundwater withdrawals from the North Fork Red River aquifer and inflows to Lake Altus from the North Fork Red River in western...
Authors
Adam R. Trevisan
Debunking the myth of the quintessential resource manager: Precision in actionable science Debunking the myth of the quintessential resource manager: Precision in actionable science
“Actionable science” is a widely held standard for identifying the merits of natural resources research. Yet, science is often framed as actionable to a vaguely identified quintessential “manager” without defining either the intended manager or use. Generic descriptions lack precision for identifying end users or their needs, limiting methodological rigor in research design and leading...
Authors
Amanda E. Cravens, Nicole M. Herman-Mercer, Aparna Bamzai-Dodson, Megan A. Moore, Richard Eugene Waggaman Berl, Nicholas W. Cole, Oronde Oliver Drakes, Diamond Victoria Ebanks, David C. Fulton, Megan Siobhan Jones, Dawn Marie Kotowicz, Michael C Mcinturff, James R. Meldrum, Kathryn Powlen, Aaron Daniel Russell, Stefan Gabriel Tangen, Emily J. Wilkins
By
Ecosystems Mission Area, Water Resources Mission Area, Climate Adaptation Science Centers, Cooperative Research Units, Forest and Rangeland Ecosystem Science Center, Fort Collins Science Center, National Wildlife Health Center, Oklahoma-Texas Water Science Center, Southwest Biological Science Center, St. Petersburg Coastal and Marine Science Center, Office of Science Quality and Integrity
Localization of spatiotemporally heterogeneous subsurface flows using autoencoder-based deep learning framework for time-lapse self-potential tomography Localization of spatiotemporally heterogeneous subsurface flows using autoencoder-based deep learning framework for time-lapse self-potential tomography
Self-potential (SP) monitoring has emerged as a valuable method for characterizing subsurface hydrogeological features and processes due to its sensitivity to fluid-induced electrokinetic effects. Despite advancements in SP inversion, challenges remain in imaging groundwater dynamics from SP activities due to complex hydrological settings and transient noise. In this study, a deep...
Authors
Huichao Yin, Scott Ikard, Dale F. Rucker, Scott C. Brooks, Zhenxue Dai, Mohamad Reza Soltanian, Kenneth C. Carroll
Hydrogeologic framework and conceptual groundwater-flow model of the panhandle and northwest parts of the High Plains (Ogallala) aquifer in Oklahoma, 1998–2022 Hydrogeologic framework and conceptual groundwater-flow model of the panhandle and northwest parts of the High Plains (Ogallala) aquifer in Oklahoma, 1998–2022
This study was conducted by the U.S. Geological Survey, in cooperation with the Oklahoma Water Resources Board, to update the hydrogeologic framework and conceptual flow model for the panhandle and northwest parts of the High Plains (Ogallala) aquifer in Oklahoma, which together compose the Ogallala aquifer focus area. The study included the construction of a potentiometric surface, and...
Authors
Amy S. Morris, Colin A. Baciocco, Isaac A. Dale, Chloe Codner, Ethan A. Kirby, Grant M. Graves, Derrick L. Wagner, Eric G. Fiorentino, Alan LePera, Jon E. Sanford, Lara Joy
Assessment of long-term trends in streamflow statistics within and near the Mobile Bay and Perdido Bay watersheds, United States, 1950–2022 Assessment of long-term trends in streamflow statistics within and near the Mobile Bay and Perdido Bay watersheds, United States, 1950–2022
The U.S. Geological Survey, in cooperation with the Gulf Coast Ecosystem Restoration Council, assessed monotonic trends for a variety of streamflow statistics for 69 long-term U.S. Geological Survey streamgages within either the Mobile Bay or Perdido Bay watersheds that were active through at least at the end of calendar year 2019. Long-term data were defined for this investigation as...
Authors
William H. Asquith, Elena R. Crowley-Ornelas, Amanda R. Whaling
Water-budget simulations for selected watersheds in Cameron County, Texas, 2022–23 Water-budget simulations for selected watersheds in Cameron County, Texas, 2022–23
The U.S. Geological Survey, in cooperation with the City of Brownsville, Texas, configured and calibrated a set of hydrologic models for a 217-square-mile study area in Cameron County in south Texas during 2022–23. The models were used for estimating runoff and quantities of water diverted from the Rio Grande/Rio Bravo del Norte (hereinafter referred to as the “Rio Grande”) to maintain...
Authors
Darwin J. Ockerman, Namjeong Choi
Imaging hyporheic exchange by integrating deep learning and physics-informed inversion of time-lapse self-potential data Imaging hyporheic exchange by integrating deep learning and physics-informed inversion of time-lapse self-potential data
Self-potential (SP) monitoring is increasingly used for subsurface flow characterization due to its sensitivity to hydrogeological and geochemical processes. However, SP inversion remains challenging due to its ill-posed nature, sparse data coverage, and strong transient noise. This study proposes a hybrid framework to image hyporheic exchange using a time-lapse SP data set monitored...
Authors
Huichao Yin, Scott Ikard, Dale F. Rucker, Scott C. Brooks, Zhenxue Dai, Kenneth C. Carroll
Land application of biosolid, livestock, and drilling wastes to US farmland: A potential pathway for the redistribution of contaminants in the environment Land application of biosolid, livestock, and drilling wastes to US farmland: A potential pathway for the redistribution of contaminants in the environment
In the United States (U.S.), waste byproducts generated from the treatment of municipal waste (biosolids), production of livestock (livestock waste), and drilling of oil and gas wells (drilling waste) are commonly applied to agricultural lands. Although this can be a cost-effective reuse/disposal practice, there is limited research on the potential for contaminant exposures and effects...
Authors
Jason R. Masoner, Dana W. Kolpin, Isabelle M. Cozzarelli, Denise M. Akob, Christopher H. Conaway, Carrie E. Givens, Michelle L. Hladik, Laura E. Hubbard, Rachael F. Lane, R. Blaine McCleskey, Todd M. Preston, Clayton D. Raines, Matthew S. Varonka, Michaelah C. Wilson
Computing discharge using the entropy-based probability concept Computing discharge using the entropy-based probability concept
This report describes the techniques and methods for computing the mean-channel velocity and discharge using the entropy-based probability concept (probability concept). The method is an alternative to or augments standard streamgaging methods adopted by the U.S. Geological Survey (USGS). Although sensor technology for measuring the mean velocity and discharge has advanced, standard...
Authors
John W, Fulton, Frank L. Engel, Jack R. Eggleston, Chao-Lin Chiu
Hydrogeologic framework and conceptual model of the Red River alluvial aquifer east of Lake Texoma, southeastern Oklahoma, 1980–2022 Hydrogeologic framework and conceptual model of the Red River alluvial aquifer east of Lake Texoma, southeastern Oklahoma, 1980–2022
The 1973 Oklahoma Groundwater Law (Oklahoma Statutes §82-1020.5) requires that the Oklahoma Water Resources Board conduct hydrologic investigations of the State’s groundwater basins to support a determination of the maximum annual yield for each groundwater basin. At present (2025), the Oklahoma Water Resources Board has not established a maximum annual yield for the Red River alluvial...
Authors
Chloe Codner, Nicole C. Gammill, Isaac A. Dale, Amy S. Morris, Ethan A. Kirby, Grant M. Graves, Evin J. Fetkovich, Derrick L. Wagner, Jon E. Sanford, Colin A. Baciocco
Land application of drill waste: A scope analysis Land application of drill waste: A scope analysis
Drilling fluid waste land application, a process where drilling wastes are spread and tilled into the land surface, has become common in some petroleum-producing states, however, the potential benefits and risks of this practice are not well studied. Drilling fluids can be water- or oil-based and can have high concentrations of total soluble salts and total petroleum hydrocarbons...
Authors
Matthew S. Varonka, Melissa A. Lombard, Todd M. Preston, Timothy T. Bartos, Jason R. Masoner, Isabelle M. Cozzarelli