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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: 19021

Multi-Scale Graph Learning for anti-sparse downscaling Multi-Scale Graph Learning for anti-sparse downscaling

Water temperature can vary substantially even across short distances within the same sub-watershed. Accurate prediction of stream water temperature at fine spatial resolutions (i.e., fine scales, ≤ 1 km) enables precise interventions to maintain water quality and protect aquatic habitats. Although spatiotemporal models have made substantial progress in spatially coarse time series...
Authors
Yingda Fan, Runlong Yu, Janet R. Barclay, Alison P. Appling, Yiming Sun, Yiqun Xie, Xiaowei Jia

Identifying preferential flow from soil moisture time series: Review of methodologies 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 Sullivan, Matthias Sprenger

Neural network-based temporal ensembling of water depth estimates derived from SuperDove Images 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 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 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 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 H. Fair, Amrita Gupta, Jeffrey D. Walker, Todd Dubreuil, Michael J. Hayden, Benjamin Letcher

Multi-scale geophysical imaging of a hydrothermal system in Yellowstone National Park, USA 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 Terry, Martin A. 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 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 A. Briggs, David M. Rey, Chad C. Opatz, Neil Terry, Connor P. Newman, Lance R. Gruhn, Carole D. Johnson

Ranking river basins for stream temperature research and monitoring in the contiguous United States 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 Green

Drought in the Delta: Socio-ecological impacts, responses, and tools 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

Specific conductance and water type as a proxy model for salinity and total dissolved solids measurements in the Upper Colorado River Basin Specific conductance and water type as a proxy model for salinity and total dissolved solids measurements in the Upper Colorado River Basin

Salinity levels in streams and tributaries of the Colorado River Basin have been a major concern for the United States and Mexico for over 50 years as the water is used by millions of people for domestic and industrial purposes. Recently, the United States Geological Survey expanded stream monitoring networks including the number of sites where continuous (15-min) specific conductance is...
Authors
R. Blaine McCleskey, Charles A. Cravotta, Matthew P. Miller, Tanner William Chapin, Fred D. Tillman, Gabrielle L. Keith
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