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: 18954
Gaps in water quality modeling of hydrologic systems
This review assesses gaps in water quality modeling, emphasizing opportunities to improve next-generation models that are essential for managing water quality and are integral to meeting goals of scientific and management agencies. In particular, this paper identifies gaps in water quality modeling capabilities that, if addressed, could support assessments, projections, and evaluations...
Authors
Lisa Lucas, Craig J. Brown, Dale M. Robertson, Nancy T. Baker, Zachary Johnson, Christopher T. Green, Se Jong Cho, Melinda Erickson, Allen C. Gellis, Jeramy Roland Jasmann, Noah Knowles, Andreas Prein, Paul E. Stackelberg
RIce-Net: Integrating ground-based cameras and machine learning for automated river ice detection
River ice plays a critical role in controlling streamflow in cold regions. The U.S. Geological Survey (USGS) qualifies affected water-level measurements and inferred streamflow by ice conditions at a date later than the day of the actual measurements. This study introduces a novel computer vision-based framework, River Ice-Network (RIce-Net), that uses the USGS nationwide network of...
Authors
Mahmoud Ayyad, Marouane Temini, Mohamed Abdelkader, Moheb Henein, Frank L. Engel, R. Russell Lotspeich, John R. Eggleston
Identifying preferential flow from soil moisture time series: Review of methodologies
Identifying and quantifying preferential flow (PF) through soil—the rapid movement of water through spatially-distinct pathways in the subsurface—is vital to understanding how the hydrologic cycle responds to climate, land cover, and anthropogenic changes. In recent decades, methods have been developed that use measured soil moisture time series to identify PF. Because they allow for...
Authors
John R. Nimmo, Inge Wiekenkamp, Ryoko Araki, Jannis Groh, Nitin Singh, Octavia Crompton, Briana Wyatt, Hoori Ajami, Daniel Gimenez, Daniel Hirmas, Pamela L. Sullivan, Matthias Sprenger
Neural network-based temporal ensembling of water depth estimates derived from SuperDove Images
CubeSats provide a wealth of high-frequency observations at a meter-scale spatial resolution. However, most current methods of inferring water depth from satellite data consider only a single image. This approach is sensitive to the radiometric quality of the data acquired at that particular instant in time, which could be degraded by various confounding factors, such as sun glint or...
Authors
Milad Niroumand-Jadidi, Carl J. Legleiter, Francesca Bovolo
Evaluating the applicability of the generalized power-law rating curve model: With applications to paired discharge-stage data from Iceland, Sweden, and the United States
Hydrologic research and operations make extensive use of streamflow time series. In most applications, these time series are estimated from rating curves, which relate flow to some easy-to-measure surrogate, typically stage. The conventional stage-discharge rating takes the form of a segmented power law, with one segment for each hydrologic control at the stream gauge. However, these...
Authors
Rafael Daniel Vias, Birgir Hrafnkelsson, Timothy O. Hodson, Sölvi Rögnvaldsson, Axel Örn Jansson, Sigurdur M. Gardarsson
A generalized framework for inferring river bathymetry from image-derived velocity fields
Although established techniques for remote sensing of river bathymetry perform poorly in turbid water, image velocimetry can be effective under these conditions. This study describes a framework for mapping both of these attributes: Depths Inferred from Velocities Estimated by Remote Sensing, or DIVERS. The workflow involves linking image-derived velocities to depth via a flow resistance...
Authors
Carl J. Legleiter, Paul J. Kinzel
A low-cost approach to monitoring streamflow dynamics in small, headwater streams using timelapse imagery and a deep learning model
Despite their ubiquity and importance as freshwater habitat, small headwater streams are under monitored by existing stream gage networks. To address this gap, we describe a low-cost, non-contact, and low-effort method that enables organizations to monitor streamflow dynamics in small headwater streams. The method uses a camera to capture repeat images of the stream from a fixed position...
Authors
Phillip J. Goodling, Jennifer Burlingame Hoyle Fair, Amrita Gupta, Jeffrey Walker, Todd L. Dubreuil, Michael J Hayden, Benjamin Letcher
Multi-scale geophysical imaging of a hydrothermal system in Yellowstone National Park, USA
Little is known about the local plumbing systems that fuel Yellowstone’s famous hot springs, geysers and mud pots. A multi-method, multi-scale geophysical investigation was carried out in the Obsidian Pool Thermal Area (OPTA) to: (i) delineate the lateral extent of the hydrothermal area and associated surface features; (ii) estimate the dimensions of the upflow zone and identify its main...
Authors
Sylvain Pasquet, W. Steven Holbrook, Bradley J. Carr, Neil C. Terry, Martin Briggs, Carol A. Finn, Paul A. Bedrosian, Esben Auken, Jesper Pedersen, Pradip Kumar Maurya, Kenneth Sims
Fiber-optic distributed temperature sensing of hydrologic processes—Diverse deployments and new applications by the U.S. Geological Survey
Fiber-optic distributed temperature sensing instruments harness the temperature-dependent properties of glass to measure temperature continuously along optical fibers by using precise pulses of laser light. In the mid-2000s, this technology was refined for environmental monitoring purposes such as snowpack-air exchange, groundwater/surface-water exchange, and lake-water stratification...
Authors
Martin Briggs, David Matthew Rey, Chad C. Opatz, Neil C. Terry, Connor P. Newman, Lance R. Gruhn, Carole D. Johnson
Consideration of grid cell size to represent stream network geometry for the conterminous United States
No abstract available.
Authors
Brandon Fleming, Kenneth Belitz, Courtney D. Killian
Ranking river basins for stream temperature research and monitoring in the contiguous United States
There is a need to prioritize research and data collection in river basins by integrating information from environmental, ecological, and socioeconomic datasets to maintain acceptable water quality for human uses and ecosystem health. Multiple anthropogenic and natural stressors are responsible for driving changes in stream temperatures that can alter ecosystems and degrade water quality...
Authors
Ramon C. Naranjo, Zachary Johnson, Lisa Lucas, Nancy T. Baker, Christopher T. Green
Drought in the Delta: Socio-ecological impacts, responses, and tools
Droughts are frequent events in the western United States, and can disrupt water supply and degrade water quality, challenging water management in the Sacramento–San Joaquin Delta (Delta). This chapter for the State of Bay–Delta Science report describes what drought means for the Delta, how drought is managed in the Delta, and how drought management has changed over time. Projections of...
Authors
Rosemary Hartman, Noah Knowles, Amanda Fencl, Julia Ekstrom