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: 19002
Report of the River Master of the Delaware River for the period December 1, 2017–November 30, 2018 Report of the River Master of the Delaware River for the period December 1, 2017–November 30, 2018
Executive Summary A Decree of the Supreme Court of the United States entered June 7, 1954 (New Jersey v. New York, 347 U.S. 995), established the position of Delaware River Master within the U.S. Geological Survey. In addition, the Decree authorizes the diversion of water from the Delaware River Basin and requires that compensating releases from certain reservoirs owned by New York City...
Authors
Kendra Russell, William Andrews, Amy R. McHugh
Technical note: A low-cost approach to monitoring relative streamflow dynamics in small headwater streams using time lapse imagery and a deep learning model Technical note: A low-cost approach to monitoring relative streamflow dynamics in small headwater streams using time lapse 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 relative streamflow dynamics in small headwater streams. The method uses a camera to capture repeat images of the stream from a fixed...
Authors
Phillip Goodling, Jennifer Fair, Amrita Gupta, Jeffrey Walker, Todd Dubreuil, Michael Hayden, Benjamin H. Letcher
A spatiotemporal interrogation of hydrologic drought model performance for machine learning model interpretability A spatiotemporal interrogation of hydrologic drought model performance for machine learning model interpretability
The predictive accuracy of regional hydrologic models often varies across both time and space. Interpreting relationships between watershed characteristics, hydrologic regimes, and model performance can reveal potential areas for model improvement. In this study, we use machine learning to assess model performance of a regional hydrologic model to forecast the occurrence of streamflow...
Authors
Ali Dadkhah, Scott Hamshaw, Ryan van der Heijden, Donna Rizzo
Emerging investigator series: Post-wildfire sediment geochemical characterization reveals manganese reactivity and a potential link to water quality impairment in the Gallinas Creek watershed, New Mexico Emerging investigator series: Post-wildfire sediment geochemical characterization reveals manganese reactivity and a potential link to water quality impairment in the Gallinas Creek watershed, New Mexico
Water quality post-wildfire is often impaired by increased turbidity and elevated concentrations of elements such as manganese (Mn) and iron (Fe). Precipitation events exacerbate these issues, due in part to increased erosion and transport of sediment from hillslopes to surface water. Both Mn and Fe are major redox-active elements in sediments that drive a variety of biogeochemical...
Authors
Elizabeth Tomaszewski, Sheila Murphy, Johanna Blake, Michelle Hornberger, Gregory Clark
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 Fulton, Frank Engel, Jack R. Eggleston, Chao-Lin Chiu
Multidecadal change in pesticide concentrations relative to human health benchmarks in the Nation’s groundwater Multidecadal change in pesticide concentrations relative to human health benchmarks in the Nation’s groundwater
Groundwater-quality trend assessments identify aquifers that are responding to changes in pesticide use and the compounds that may pose a threat to water availability. The U.S. Geological Survey has been monitoring pesticide concentrations in groundwater for 25 principal aquifers across the conterminous United States since 1993. The groundwater well locations represent a range of soils...
Authors
Sarah Stackpoole, Bruce Lindsey, Cee Nell
Quantifying groundwater response and uncertainty in beaver-influenced mountainous floodplains using machine learning-based model calibration Quantifying groundwater response and uncertainty in beaver-influenced mountainous floodplains using machine learning-based model calibration
Beavers (Castor canadensis) alter river corridor hydrology by creating ponds and inundating floodplains, and thereby improving surface water storage. However, the impact of inundation on groundwater, particularly in mountainous alluvial floodplains with permeable gravel/cobble layers overlain by a soil layer, remains uncertain. Numerical modeling across various floodplain structures...
Authors
Lijing Wang, Tristan Babey, Zach Perzan, Samuel Pierce, Martin Briggs, Kristin Boye, Kate Maher
PFAS sampling activities in the U.S. Geological Survey national networks PFAS sampling activities in the U.S. Geological Survey national networks
Per- and polyfluoroalkyl substances (PFAS), frequently called “forever chemicals,” are used for a wide variety of industrial purposes and are often found in common household and industrial items such as firefighting foams, non-stick cookware, and water-resistant materials. The contamination of water, air, and soil by PFAS is a national and global issue due to their widespread occurrence...
Authors
Melissa Riskin, Bruce Lindsey, Ryan McCammon
Sundial: A method for inferring image acquisition time from shadow orientation Sundial: A method for inferring image acquisition time from shadow orientation
Aerial photography and satellite imagery can be used to characterize landscape change over time and help to understand how these changes are related to climate and hydrology. Publicly available optical imagery from sources such as the United States National Agricultural Imagery Program (NAIP) is particularly valuable in this context due to its high temporal and spatial resolution...
Authors
Inhyeok Bae, Carl Legleiter, Elowyn Yager
Hyperspectral imaging of river bathymetry using an ensemble of regression trees Hyperspectral imaging of river bathymetry using an ensemble of regression trees
Remote sensing has emerged as an effective tool for characterizing river systems, and machine learning (ML) techniques could make this approach even more powerful. To explore this possibility, we developed an ML-based workflow for hyperspectral imaging of river bathymetry using an ensemble of regression trees (HIRBERT). This approach involves using paired observations of depth and...
Authors
Carl Legleiter, Paul Kinzel, Brandon Overstreet, Lee Harrison
The influence of scale in modeling social vulnerability and disaster assistance The influence of scale in modeling social vulnerability and disaster assistance
Understanding how social vulnerability relates to disaster impacts is critical for addressing social equity, yet the role of spatial scale in this relationship is often overlooked. Most studies use aggregated data, risking ecological fallacy—misinterpreting individual outcomes from group-level data. This study examines how spatial scale influences the relationship between social...
Authors
Sina Razzaghi Asl, Oronde Drakes, Eric Tate, Samuel Brody, Wesley Highfield, Kayode Atoba
Clarifying the trophic state concept to advance macroscale freshwater science and management Clarifying the trophic state concept to advance macroscale freshwater science and management
For over a century, ecologists have used the concept of trophic state (TS) to characterize an aquatic ecosystem's biological productivity. However, multiple TS classification schemes, each relying on a variety of measurable parameters as proxies for productivity, have emerged to meet use-specific needs. Frequently, chlorophyll a, phosphorus, and Secchi depth are used to classify TS based...
Authors
Michael Meyer, Benjamin Kraemer, Carolina Barbosa, Davi Cuhna, Walter Dodds, Stephanie Hampton, César Ordóñez, Rachel Pilla, Amina Pollard, Joshua Culpepper, Alexander Fremier, Tyler King, Robert Ladwig, Dina Leech, Shin-Ichiro Matsuzaki, Isabella Oleksy, Simon Topp, Richard Woolway, Ludmila Brighenti, Kate Fickas, Brian Lanouette, Jianning Ren, Mortimer Werther, Xiao Yang