Negligible atmospheric release of methane from decomposing hydrates in mid-latitude oceans
DongJoo Joung, Carolyn D. Ruppel, John R. Southon, Thomas S. Weber, John D. Kessler
2022, Nature Geoscience (15) 885-891
Naturally occurring gas hydrates may contribute to a positive feedback for global warming because they sequester large amounts of the potent greenhouse gas methane in ice-like deposits that could be destabilized by increasing ocean/atmospheric temperatures. Most hydrates occur within marine sediments; gas liberated during the decomposition of seafloor hydrates or...
Simulation experiments comparing nonstationary design-flood adjustments based on observed annual peak flows in the conterminous United States
Jory Seth Hecht, Nancy A. Barth, Karen R. Ryberg, Angela Gregory
2022, Journal of Hydrology X (17)
While nonstationary flood frequency analysis (NSFFA) methods have proliferated, few studies have rigorously compared them for modeling changes in both the central tendency and variability of annual peak-flow series, also known as the annual maximum series (AMS), in hydrologically diverse areas. Through Monte Carlo experiments, we appraise five methods...
Hydrologic recovery after wildfire: A framework of approaches, metrics, criteria, trajectories, and timescales
Brian A. Ebel, Joseph W. Wagenbrenner, Alicia M. Kinoshita, Kevin D. Bladon
2022, Journal of Hydrology and Hydromechanics (70) 388-400
Deviations in hydrologic processes due to wildfire can alter streamflows across the hydrograph, spanning peak flows to low flows. Fire-enhanced changes in hydrologic processes, including infiltration, interception, and evapotranspiration, and the resulting streamflow responses can affect water supplies, through effects on the quantity, quality, and timing of water availability. Post-fire...
Mechanisms and magnitude of dissolved silica release from a New England salt marsh
Olivia Williams, Andrew C. Kurtz, Meagan J. Eagle, Kevin D. Kroeger, Joseph Tamborski, Joanna C. Carey
2022, Biogeochemistry (161) 251-271
Salt marshes are sites of silica (SiO2) cycling and export to adjacent coastal systems, where silica availability can exert an important control over coastal marine primary productivity. Mineral weathering and biologic fixation concentrate silica in these systems; however, the relative contributions of geologic versus biogenic silica...
Sources and characteristics of dissolved organic carbon in the McKenzie River, Oregon, related to the formation of disinfection by-products in treated drinking water
Kurt D. Carpenter, Tamara E. C. Kraus, Angela M. Hansen, Bryan D. Downing, Jami H. Goldman, Jonathan Haynes, David Donahue, Karl Morgenstern
2022, Scientific Investigations Report 2022-5010
Executive SummaryThis study characterized the concentration and quality of dissolved organic carbon (DOC) in the McKenzie River, a relatively undeveloped watershed in western Oregon, and its link to forming disinfection by-products (DBPs) in treated drinking water. The study aimed to identify the primary source(s) of DOC in source water...
Migration and energetics model predicts delayed migration and likely starvation in oiled waterbirds
Benjamin M West, Mark L. Wildhaber, Kevin J. Aagaard, Wayne E. Thogmartin, Adrian Parr Moore, Michael J. Hooper
2022, Ecological Modelling (474)
Oil spills can inflict mortality and injury on bird populations; many of these deaths involve starvation resulting from thermoregulatory costs incurred by oiling of birds’ feathers. However, the fates and responses of sublethally oiled birds are poorly known. Due to this...
Seasonality of precipitation in the southwestern United States during the late Pleistocene inferred from stable isotopes in herbivore tooth enamel
Matthew J. Kohn, Kathleen B. Springer, Jeffrey S. Pigati, Linda Reynard, Amanda E. Drewicz, Justin Crevier, Eric Scott
2022, Quaternary Science Reviews (296)
The late Pleistocene was a climatically dynamic period, with abrupt shifts between cool-wet and warm-dry conditions. Increased effective precipitation supported large pluvial lakes and long-lived spring ecosystems in valleys and basins throughout the western and southwestern U.S., but the source and seasonality of the increased precipitation are debated. Increases in the proportions of C4/(C4+...
U.S. Geological Survey—Department of the Interior Region 11, Alaska—2021–22 biennial science report
Elizabeth M. Powers, Dee M. Williams, editor(s)
2022, Circular 1497
U.S. Geological Survey (USGS) Mission: The USGS national mission is to monitor, analyze, and predict the current and evolving dynamics of complex human and natural Earth-system interactions, and to deliver actionable information at scales and timeframes relevant to decision-makers. Consistent with the national mission, the USGS in Alaska provides...
Updated annual and semimonthly streamflow statistics for Wild and Scenic Rivers, Owyhee Canyonlands Wilderness, southwestern Idaho, 2021
Taylor J. Dudunake, Scott D. Ducar
2022, Scientific Investigations Report 2022-5095
The U.S. Geological Survey, in cooperation with the Bureau of Land Management (BLM), continued streamflow data collection in water years 2013–21 to update daily streamflow regressions and annual and semimonthly streamflow statistics initially developed in 2012 for streams designated as “wild,” “scenic,” or “recreational” under the National Wild and...
Comparing Landsat Dynamic Surface Water Extent to alternative methods of measuring inundation in developing waterbird habitats
John B. Taylor, Jeffery D. Sullivan, Claire S. Teitelbaum, Jan G. Reese, Diann Prosser
2022, Remote Sensing Applications: Society and Environment (28)
This study investigates the applicability of the Landsat Dynamic Surface Water Extent (DSWE) science product for waterbird habitat modeling in multiple non-canopied habitat types. We compare surface water distribution estimates derived from DSWE to two site-specific survey methods: visual surveys and digitized aerial imagery. These site-specific surveys were conducted on...
Discovering hidden geothermal signatures using non-negative matrix factorization with customized k-means clustering
Velimir V. Vesselinov, Bulbul Ahmmed, Maruti K. Mudunuru, Jeff D. Pepin, Erick R. Burns, Drew L. Siler, Satish Karra, Richard S. Middleton
2022, Geothermics (106)
Discovery of hidden geothermal resources is challenging. It requires the mining of large datasets with diverse data attributes representing subsurface hydrogeological and geothermal conditions. The commonly used play fairway analysis approach typically incorporates subject-matter expertise to analyze regional data to estimate geothermal characteristics and favorability. We demonstrate an alternative approach...
Physics-guided architecture (PGA) of LSTM models for uncertainty quantification in lake temperature modeling
Arka Daw, R. Quinn Thomas, Cayelan C. Carey, Jordan Read, Alison P. Appling, Anuj Karpatne
2022, Book chapter, Knowledge-guided machine learning: Accelerating discovery using scientific knowledge and data
This chapter focuses on meeting the need to produce neural network outputs that are physically consistent and also express uncertainties, a rare combination to date. It explains the effectiveness of physics-guided architecture - long-short-term-memory (PGA-LSTM) in achieving better generalizability and physical consistency over data collected from Lake Mendota in Wisconsin...
Heat budget of lakes
Martin Schmid, Jordan Read
2022, Book chapter, Encyclopedia of inland waters
This article gives an overview of the heat fluxes between lakes and their environment. The heat budget of most lakes is dominated by heat fluxes at the lake surface, especially shortwave radiation, incoming and outgoing longwave radiation, and the latent heat flux. The seasonality of these fluxes is the most...
Physics-guided neural networks (PGNN): An application in lake temperature modeling
Arka Daw, Anuj Karpatne, William Watkins, Jordan Read, Vipin Kumar
2022, Book chapter, Knowledge-guided machine learning: Accelerating discovery using scientific knowledge and data
This chapter introduces a framework for combining scientific knowledge of physics-based models with neural networks to advance scientific discovery. It explains termed physics-guided neural networks (PGNN), leverages the output of physics-based model simulations along with observational features in a hybrid modeling setup to generate predictions using a neural network architecture....
Physics-guided recurrent neural networks for predicting lake water temperature
Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan Read, Jacob Aaron Zwart, Michael Steinbach, Vipin Kumar
2022, Book chapter, Knowledge-guided machine learning: Accelerating discovery using scientific knowledge and data
This chapter presents a physics-guided recurrent neural network model (PGRNN) for predicting water temperature in lake systems. Standard machine learning (ML) methods, especially deep learning models, often require a large amount of labeled training samples, which are often not available in scientific problems due to the substantial human labor and...
Planetary-scale change to the biosphere signalled by global species translocations can be used to identify the Anthropocene
Mark Williams, Reinhold Leinfelder, Anthony D. Barnosky, Martin J Head, Francine M G McCarthy, Cearreta. Alejandro, Stephen J Himson, Rachael Holmes, Colin N. Waters, Jan Zalasiewicz, Simon Turner, Mary McGann, Elizabeth A. Hadly, M. Allison Stegner, Paul Michael Pilkington, Jerome Kaiser, Juan Carlos Berrio, Ian P. Wilkinson, Jens Zinke, Kristine L. DeLong
2022, Palaeontology (65)
We examine three distinctive biostratigraphic signatures associated with: hunting and gathering, landscape domestication, and globalisation. All three signatures have significant fossil records of regional importance that can be correlated inter-regionally and help describe the developing pattern of human expansion and appropriation of resources. While none have individual first or last...
Daily surface temperatures for 185,549 lakes in the conterminous United States estimated using deep learning (1980–2020)
Jared D. Willard, Jordan Read, Simon Nemer Topp, Gretchen J. A. Hansen, Vipin Kumar
2022, Limnology & Oceanography: Letters (7) 287-301
The dataset described here includes estimates of historical (1980–2020) daily surface water temperature, lake metadata, and daily weather conditions for lakes bigger than 4 ha in the conterminous United States (n = 185,549), and also in situ temperature observations for a subset of lakes (n = 12,227). Estimates were generated using a long short-term memory...
Identifying nutrient sources and sinks to the South Platte River and Cherry Creek, Denver, CO, during low-flow conditions in 2019–2020
William A. Battaglin, Tanner William Chapin
2022, River Research and Applications (38) 1860-1883
Elevated concentrations and loads of nutrients in the South Platte River and Cherry Creek in Denver, Colorado, may have adverse effects on those streams and downstream water bodies, including increased production of algae, eutrophication, and decreased recreational opportunities. This article describes streamflow and concentrations and loads of nutrients for the...
Decision support for aquatic restoration based on species-specific responses to disturbance
James E. McKenna Jr., Catherine Riseng, Kevin Wehrly
2022, Ecology and Evolution (12)
Disturbances to aquatic habitats are not uniformly distributed within the Great Lakes and acute effects can be strongest in nearshore areas where both landscape and within lake effects can have strong influence. Furthermore, different fish species respond to disturbances in different ways. A means to identify...
Comparing imidacloprid, clothianidin, and azoxystrobin runoff from lettuce fields using a soil drench or treated seeds in the Salinas Valley, California
Emily E. Woodward, Michelle L. Hladik, Anson Main, Michael Cahn, James Orlando, Jennifer Teerlink
2022, Environmental Pollution (315)
Neonicotinoid insecticide use has increased over the last decade, including as agricultural seed treatments (application of chemical in a coating to the seed prior to planting). In California, multiple crops, including lettuce, can be grown using neonicotinoid treated seeds or receive a direct neonicotinoid soil application (drenching) at planting. Using...
The Bathy-drone: An autonomous unmanned drone-tethered sonar system
Antonio L. Diaz, Andrew E. Ortega, Henry Tingle, Andres Pulido, Orlando Cordero, Marisa Nelson, Nicholas E. Cocoves, Jaejeong Shin, Raymond Carthy, Benjamin E. Wilkinson, Peter G. Ifju
2022, Drones (6)
A unique drone-based system for underwater mapping (bathymetry) was developed at the University of Florida. The system, called the “Bathy-drone”, comprises a drone that drags, via a tether, a small vessel on the water surface in a raster pattern. The vessel is equipped with a recreational commercial off-the-shelf (COTS) sonar...
Wave-driven hydrodynamic processes over fringing reefs with varying slopes, depths, and roughness: Implications for coastal protection
Mark L. Buckley, Ryan L. Lowe, Jeff E. Hansen, Ap R. Dongeren, Andrew Pomeroy, Curt D. Storlazzi, Dirk P. Rijnsdorp, Renan F. Silva, Stephanie Contardo, Rebecca H. Green
2022, JGR Oceans (127)
Wave breaking on the steep fore-reef slopes of shallow fringing reefs is effective at dissipating incident sea-swell waves prior to reaching reef shorelines. However, wave setup and free infragravity waves generated during the sea-swell breaking process are often the largest contributors to wave-driven water levels at the shoreline. Laboratory flume...
Identifying key stressors driving biological impairment in freshwater streams in the Chesapeake Bay watershed, USA
Rosemary M. Fanelli, Matthew J. Cashman, Aaron J. Porter
2022, Environmental Management (70) 926-949
Biological communities in freshwater streams are often impaired by multiple stressors (e.g., flow or water quality) originating from anthropogenic activities such as urbanization, agriculture, or energy extraction. Restoration efforts in the Chesapeake Bay watershed, USA seek to improve biological conditions in 10% of freshwater tributaries and...
Sediment source fingerprinting as an aid to large-scale landscape conservation and restoration: A review for the Mississippi River Basin
Zhen Xu, Patrick Belmont, Janice Brahney, Allen C. Gellis
2022, Journal of Environmental Management (324)
Reliable quantitative information on sediment sources to rivers is critical to mitigate contamination and target conservation and restoration actions. However, the determination of the relative importance of sediment sources is complicated at the scale of large river basins by immense variability in erosional processes and sediment sources over space and...
Nonlinear multidecadal trends in organic matter dynamics in Midwest reservoirs are a function of variable hydroclimate
Ruchi Bhattacharya, John R. Jones, Jennifer L. Graham, Daniel V. Obrecht, Anthony P. Thorpe, James D. Harlan, Rebecca L. North
2022, Limnology and Oceanography (67) 2531-2546
Dissolved organic matter (DOM) and particulate organic matter (POM) can influence biogeochemical processes in aquatic systems. An understanding, however, of the source, composition, and processes driving inland reservoir organic matter (OM) cycling at a regional scale over the long term is currently unexplored. Here, we quantify...