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: 19030
Watershed-scale risk to aquatic organisms from complex chemical mixtures in the Shenandoah River Watershed-scale risk to aquatic organisms from complex chemical mixtures in the Shenandoah River
River waters contain complex chemical mixtures derived from natural and anthropogenic sources. Aquatic organisms are exposed to the entire chemical composition of the water, resulting in potential effects at the organismal through ecosystem level. This study applied a holistic approach to assess landscape, hydrological, chemical, and biological variables. On-site mobile laboratory...
Authors
Larry B. Barber, Kaycee E. Faunce, David Bertolatus, Michelle L. Hladik, Jeramy Roland Jasmann, Steffanie H. Keefe, Dana W. Kolpin, Michael T. Meyer, Jennifer L. Rapp, David A. Roth, Alan M. Vajda
Relative bias in catch among long-term fish monitoring surveys within the San Francisco Estuary Relative bias in catch among long-term fish monitoring surveys within the San Francisco Estuary
Fish monitoring gears rarely capture all available fish, an inherent bias in monitoring programs referred to as catchability. Catchability is a source of bias that can be affected by numerous aspects of gear deployment (e.g., deployment speed, mesh size, and avoidance behavior). Thus, care must be taken when multiple surveys—especially those using different sampling methods—are combined...
Authors
Brock Huntsman, Brian Mahardja, Samuel M. Bashevkin
San Francisco Estuary chlorophyll sensor and sample analysis intercomparison San Francisco Estuary chlorophyll sensor and sample analysis intercomparison
This report presents an assessment of chlorophyll collection methods and anonymous results of field and laboratory comparisons in 2018 - 2019 by agencies in the San Francisco Estuary (SFE). The methods assessment and comparison exercises, with funding provided by the Delta Regional Monitoring Program and Bay Nutrient Management Strategy and in-kind contributions from participating...
Authors
Elizabeth B. Stumpner, Jamie S. Yin, Matthew Heberger, Jing Wu, Adam Wong, John Franco Saraceno
Review of “Lake hydrology: An introduction to lake mass balance” Review of “Lake hydrology: An introduction to lake mass balance”
No abstract available.
Authors
D.O. Rosenberry
Extensive droughts in the conterminous United States during multiple centuries Extensive droughts in the conterminous United States during multiple centuries
Extensive and severe droughts have substantial effects on water supplies, agriculture, and aquatic ecosystems. To better understand these droughts, we used tree-ring-based reconstructions of the Palmer drought severity index (PDSI) for the period 1475–2017 to examine droughts that covered at least 33% of the conterminous United States (CONUS). We identified 37 spatially extensive drought...
Authors
Gregory J. McCabe, David M. Wolock
The U.S. Geological Survey National Atmospheric Deposition Program, National Trends Network—2022 The U.S. Geological Survey National Atmospheric Deposition Program, National Trends Network—2022
The U.S. Geological Survey (USGS) has been a National Atmospheric Deposition Program (NADP) partner agency since 1981. NADP is comprised of five atmospheric monitoring networks that verify Clean Air Act effectiveness and provide essential data to protect human health and preserve ecosystems for current and future generations. Stakeholders include land management agencies overseeing...
Authors
Ryan Conner McCammon
Condition of resident fish communities in the Eighteenmile Creek Area of Concern, New York Condition of resident fish communities in the Eighteenmile Creek Area of Concern, New York
The lower 3.5 km of Eighteenmile Creek, a tributary to Lake Ontario in New York, was designated as an Area of Concern (AOC) in 1985 under the Great Lakes Water Quality Agreement due to extensive contamination of bed sediments by polychlorinated biphenyls (PCBs) and other toxicants. Five beneficial use impairments (BUIs) have been identified in this AOC, including degraded fish and...
Authors
Scott D. George, Barry P. Baldigo, Scott F. Collins, David Clarke, Dylan R. Winterhalter
Modeling reservoir release using pseudo-prospective learning and physical simulations to predict water temperature Modeling reservoir release using pseudo-prospective learning and physical simulations to predict water temperature
This paper proposes a new data-driven method for predicting water temperature in stream networks with reservoirs. The water flows released from reservoirs greatly affect the water temperature of downstream river segments. However, the information of released water flow is often not available for many reservoirs, which makes it difficult for data-driven models to capture the impact to...
Authors
Xiaowei Jia, Shengyu Chen, Yiqun Xie, Haoyu Yang, Alison P. Appling, Samantha K. Oliver, Zhe Jiang
The source, fate, and transport of arsenic in the Yellowstone hydrothermal system - An overview The source, fate, and transport of arsenic in the Yellowstone hydrothermal system - An overview
The Yellowstone Plateau Volcanic Field (YPVF) contains >10,000 thermal features including hot springs, pools, geysers, mud pots, and fumaroles with diverse chemical compositions. Arsenic (As) concentrations in YPVF thermal waters typically range from 0.005 to 4 mg/L, but an As concentration of 17 mg/L has been reported. Arsenic data from thermal springs, outflow drainages, rivers, and...
Authors
R. Blaine McCleskey, D. Kirk Nordstrom, Shaul Hurwitz, Daniel R. Colman, David A. Roth, Madeline Oxner Johnson, Eric S. Boyd
Machine learning for understanding inland water quantity, quality, and ecology Machine learning for understanding inland water quantity, quality, and ecology
This chapter provides an overview of machine learning models and their applications to the science of inland waters. Such models serve a wide range of purposes for science and management: predicting water quality, quantity, or ecological dynamics across space, time, or hypothetical scenarios; vetting and distilling raw data for further modeling or analysis; generating and exploring...
Authors
Alison P. Appling, Samantha K. Oliver, Jordan Read, Jeffrey Michael Sadler, Jacob Aaron Zwart
VIMTS: Variational-based Imputation for Multi-modal Time Series VIMTS: Variational-based Imputation for Multi-modal Time Series
Multi-modal time series data in real applications often contain data of different dimensionalities, e.g., high-dimensional modality such as image data series, and low-dimensional univariate time series. Multi-modal time series data with missing high-dimensional modal values are ubiquitous in real-world classification and regression applications. To accurately predict the target labels...
Authors
Xiaowei Jia, Jennifer H. Fair, Benjamin Letcher
Numerical modelling of mine pollution to inform remediation decision-making in watersheds Numerical modelling of mine pollution to inform remediation decision-making in watersheds
Prioritisation of mine pollution sources for remediation is a key challenge facing environmental managers. This paper presents a numerical modelling methodology to evaluate potential improvements in stream water quality from remediation of important mine pollution sources. High spatial resolution synoptic sampling data from a Welsh watershed were used to calibrate the OTIS solute...
Authors
Patrick Byrne, Patrizia Onnis, Robert L. Runkel, Ilaria Frau, Sarah F. L. Lynch, Aaron M. L. Brown, Iain Robertson, Paul Edwards