Publications
This list of Water Resources Mission Area publications includes both official USGS publications and journal articles authored by our scientists. A searchable database of all USGS publications can be accessed at the USGS Publications Warehouse.
Filter Total Items: 19035
Thirty years of regional groundwater-quality trend studies in the United States: Major findings and lessons learned Thirty years of regional groundwater-quality trend studies in the United States: Major findings and lessons learned
Changes in groundwater quality have been evaluated for more than 2,200 wells in 25 Principal Aquifers in the United States based on repeated decadal sampling (once every 10 years) from 1988 to 2021. The purpose of this study is to identify contaminants with changing concentrations, the locations and magnitude of those changes, the factors driving those changes, the obstacles to...
Authors
Bruce D. Lindsey, Brandon J. Fleming, Phillip J. Goodling, Amanda Nicole May
Growth of coal mining operations in the Elk River Valley (Canada) linked to increasing solute transport of Se, NO3-, and SO42- into the transboundary Koocanusa Reservoir (USA-Canada) Growth of coal mining operations in the Elk River Valley (Canada) linked to increasing solute transport of Se, NO3-, and SO42- into the transboundary Koocanusa Reservoir (USA-Canada)
Koocanusa Reservoir (KOC) is a waterbody that spans the United States (U.S.) and Canadian border. Increasing concentrations of total selenium (Se), nitrate + nitrite (NO3–, nitrite is insignificant or not present), and sulfate (SO42–) in KOC and downstream in the Kootenai River (Kootenay River in Canada) are tied to expanding coal mining operations in the Elk River Watershed, Canada...
Authors
Meryl Biesiot Storb, Ashley Morgan Bussell, Sara L. Caldwell Eldridge, Robert M. Hirsch, Travis S. Schmidt
Geophysical logging For hydrogeology Geophysical logging For hydrogeology
Geophysical logging is the measurement and analysis of electrical, acoustic, nuclear, and other physical properties in a borehole using wireline or direct push technology. Geophysical logging is one of the primary methods of collecting subsurface information for hydrogeologic investigations. Groundwater scientists and engineers should have a basic understanding of borehole geophysics and...
Authors
John Williams, Frederick L. Paillet
The Arctic Rivers Project: Using an equitable co-production framework for integrating meaningful community engagement and science to understand climate impacts The Arctic Rivers Project: Using an equitable co-production framework for integrating meaningful community engagement and science to understand climate impacts
As the Arctic and its rivers continue to warm, a better understanding of the possible future impacts on people would benefit from close partnership with Indigenous communities and scientists from diverse fields of study. We present efforts by the Arctic Rivers Project to conduct community-engaged research to increase collective understanding of the historical and potential future impacts...
Authors
Nicole M. Herman-Mercer, Alestine Andre, Victoria Buschman, Dylan Blaskey, Cassandra M. Brooks, Yifan Cheng, Evelynn Combs, Karen Cozzetto, Serena Fitka, Joshua C. Koch, Aine Lawlor, Elizabeth Moses, Emily Murray, Edda A. Mutter, Andrew Newman, Charles Prince, Patricia Salmon, Jenessa Tlen, Ryan C. Toohey, Michael L. Williams, Keith Musselman
A novel boat-based field application of a high-frequency conductometric ammonium analyzer to characterize spatial variation in aquatic ecosystems A novel boat-based field application of a high-frequency conductometric ammonium analyzer to characterize spatial variation in aquatic ecosystems
Documenting dissolved inorganic nitrogen (DIN) concentration and form at appropriate temporal and spatial scales is key to understanding aquatic ecosystem health, particularly as DIN fuels primary productivity. In addition to point and non-point source nutrient inputs, factors such as hydrology, geomorphology, temperature, light, and biogeochemical transformations influence nutrient...
Authors
Emily T. Richardson, Angela Hansen, Tamara E. C. Kraus, Bryan D. Downing, Don Forsberg, John Stillian, Katy O’Donnell, Crystal Lee Sturgeon, Brian A. Bergamaschi
Warming-induced changes in benthic redox as a potential driver of increasing benthic algal blooms in high-elevation lakes Warming-induced changes in benthic redox as a potential driver of increasing benthic algal blooms in high-elevation lakes
Algal blooms appear to be increasing on benthic substrates of naturally nutrient-poor lakes worldwide, yet common drivers across these systems remain elusive. The phenomenon has been notable in high-elevation mountain lakes, which is enigmatic given their relative remoteness from human disturbance. We suggest that warming-induced changes in redox conditions that promote nutrient release...
Authors
Stephanie E. Hampton, Jill Baron, Robert Ladwig, Ryan P. McClure, Michael Frederick Meyer, Isabella Oleksy, Anna Shampain
The dynamic influence of subsurface geological processes on the assembly and diversification of thermophilic microbial communities in continental hydrothermal systems The dynamic influence of subsurface geological processes on the assembly and diversification of thermophilic microbial communities in continental hydrothermal systems
An accepted paradigm of hydrothermal systems is the process of phase separation, or boiling, of a deep, homogeneous hydrothermal fluid as it ascends through the subsurface resulting in gas rich and gas poor fluids. While phase separation helps to explain first-order patterns in the chemistry and biology of a hot spring’s surficial expression, we know little about the subsurface...
Authors
Kenneth W.W. Sims, Cole M. Messa, Sean R Scott, Andrew D Parsekian, Andrew Miller, Abraham L. Role, Timothy P. Moloney, Everett L. Shock, Jacob B. Lowenstern, R. Blaine McCleskey, Matthew A. Charette, Bradley Carr, Sylvain Pasquet, Henry Heasler, Cheryl Jaworowski, W. Steven Holbrook, Melody R. Lindsay, Daniel R. Colman, Eric S. Boyd
Leveraging machine learning to automate regression model evaluations for large multi-site water-quality trend studies Leveraging machine learning to automate regression model evaluations for large multi-site water-quality trend studies
Large multi-site trend studies provide an opportunity to evaluate progress of waterbodies towards water-quality goals across broad geographic areas. Such studies often aggregate the results of site-specific models and thus contend with evaluating each model for appropriate fit and statistical assumptions. We explored the use of four traditional machine learning models (logistic...
Authors
Jennifer C. Murphy, Jeffrey G. Chanat
Broad-scale assessment of methylmercury in adult amphibians Broad-scale assessment of methylmercury in adult amphibians
Mercury (Hg) is a toxic contaminant that has been mobilized and distributed worldwide and is a threat to many wildlife species. Amphibians are facing unprecedented global declines due to many threats including contaminants. While the biphasic life history of many amphibians creates a potential nexus for methylmercury (MeHg) exposure in aquatic habitats and subsequent health effects, the...
Authors
Brian J. Tornabene, Blake R. Hossack, Brian J. Halstead, Collin A. Eagles-Smith, Michael J. Adams, Adam R. Backlin, Adrianne Brand, Colleen Emery, Robert N. Fisher, Jillian Elizabeth Fleming, Brad Glorioso, Daniel A. Grear, Evan H. Campbell Grant, Patrick M. Kleeman, David Miller, Erin L. Muths, Christopher Pearl, Jennifer Rowe, Caitlin Teresa Rumrill, J. Hardin Waddle, Megan Winzeler, Kelly L. Smalling
By
Ecosystems Mission Area, Water Resources Mission Area, Contaminant Biology, Environmental Health Program, Toxic Substances Hydrology, Eastern Ecological Science Center, Forest and Rangeland Ecosystem Science Center, Fort Collins Science Center, National Wildlife Health Center, New Jersey Water Science Center, Northern Rocky Mountain Science Center, Western Ecological Research Center (WERC), Wetland and Aquatic Research Center
Effects of auto-adaptive localization on a model calibration using ensemble methods Effects of auto-adaptive localization on a model calibration using ensemble methods
Simulations of the natural systems for environmental decision-making typically benefit from a highly parameterized approach (Hunt et al. 2007; Doherty and Hunt 2010), which enhances the flow of information contained in state observations to the parameters and improves application to decision support. However, parameter estimation (PE) with highly parameterized environmental models using
Authors
Jonathan P. Traylor, Randall J. Hunt, Jeremy White, Michael N. Fienen
Multiple-well monitoring site adjacent to the Elk Hills Oil Field, Kern County, California Multiple-well monitoring site adjacent to the Elk Hills Oil Field, Kern County, California
Introduction The Elk Hills Oil Field is one of the many fields selected for regional groundwater mapping and monitoring by the California State Water Resources Control Board as part of the Oil and Gas Regional Monitoring Program (California State Water Resources Control Board, 2015, 2022b; U.S. Geological Survey, 2022a). The U.S. Geological Survey (USGS), in cooperation with the...
Authors
Rhett R. Everett, Janice M. Gillespie, Mackenzie M. Shepherd, Andrew Y. Morita, Maryanne Bobbitt, Christopher A. Kohel, John G. Warden
An agricultural package for MODFLOW 6 using the Application Programming Interface An agricultural package for MODFLOW 6 using the Application Programming Interface
An agricultural water use package has been developed for MODFLOW 6 using the MODFLOW Application Programming Interface (API). The MODFLOW API Agricultural Water Use Package (API-Ag) was based on the approach to simulate irrigation demand in the MODFLOW-NWT and GSFLOW Agricultural Water Use (AG) Package. The API-Ag Package differs from the previous approach by implementing new features...
Authors
Joshua Larsen, Christian D. Langevin, Joseph D. Hughes, Richard G. Niswonger