A geophysical characterization of structure and geology of the Northern Granite Springs Valley Geothermal System, Northwestern Nevada
Jonathan M.G. Glen, Jared R. Peacock, Tait E. Earney, William Schermerhorn, Drew L. Siler, James Faulds, Jacob DeAngelo
2022, Geothermal Resources Council Transactions (46) 700-720
The northern Granite Springs Valley in northwestern Nevada is the focus of recent studies for its potential for hosting undiscovered geothermal resources. Although the area lacks definitive surface manifestations of an active hydrothermal system, previous studies identify this region as having potential for hosting a blind geothermal resource, based on...
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...
Formation of orogenic gold deposits by progressive movement of a fault-fracture mesh through the upper crustal brittle-ductile transition zone
Miguel Tavares Nassif, Thomas Monecke, T. James Reynolds, Yvette D. Kuiper, Richard J. Goldfarb, Sandra Piazolo, Heather A. Lowers
2022, Scientific Reports (12)
Orogenic gold deposits are comprised of complex quartz vein arrays that form as a result of fluid flow along transcrustal fault zones in active orogenic belts. Mineral precipitation in these deposits occurs under variable pressure conditions, but a mechanism explaining how the pressure regimes evolve through...
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...
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+...
Lower seismogenic depth model of western U.S. Earthquakes
Yuehua Zeng, Mark D. Petersen, Oliver S. Boyd
2022, Seismological Research Letters (93) 3186-3204
We present a model of the lower seismogenic depth of earthquakes in the western United States (WUS) estimated using the hypocentral depths of events M > 1, a crustal temperature model, and historical earthquake rupture depth models. Locations of earthquakes are from the Advanced National Seismic System Comprehensive Earthquake Catalog from 1980...
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...
Dry forest decline is driven by both declining recruitment and increasing mortality in response to warm, dry conditions
Robert K. Shriver, Charles B. Yackulic, David M. Bell, John B. Bradford
2022, Global Ecology and Biogeography (31) 2259-2269
Aim: Anticipating when and where changes in species' demographic rates will lead to range shifts in response to changing climate remains a major challenge. Despite evidence of increasing mortality in dry forests across the globe in response to drought and warming temperatures, the overall impacts on the distribution of dry...
Revised earthquake geology inputs for the central and eastern United States and southeast Canada for the 2023 National Seismic Hazard Model
Jessica Ann Thompson Jobe, Alexandra Elise Hatem, Ryan D. Gold, Christopher DuRoss, Nadine G. Reitman, Richard W. Briggs, Camille Marie Collett
2022, Seismological Research Letters (93) 3100-3120
It has been nearly a decade since updates to seismic and fault sources in the central and eastern United States (CEUS) were last assessed for the 2012 Central and Eastern United States Seismic Source Characterization for nuclear facilities (CEUS-SSCn) and 2014 United States Geological Survey National Seismic Hazard Model (NSHM)...
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...
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...
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...
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...
Return from dormancy: Rapid inflation and seismic unrest driven by transcrustal magma transfer at Mt. Edgecumbe (L’´ux Shaa) Volcano, Alaska
R. Grapenthin, Yitian Cheng, Mario Angarita, Darren Tan, Franz J. Meyer, David Fee, Aaron Wech
2022, Geophysical Research Letters (49)
In April 2022, a seismic swarm near Mt. Edgecumbe in southeast Alaska suggested renewed activity at this transform fault volcano, which was last active ≈800 years ago. Previously, thin rhyolitic tephras were deposited 5 and 4 ka. Satellite radar data from 2014 to 2022 resolves line-of-sight rapid inflation up...
Pleistocene–Holocene vicariance, not Anthropocene landscape change, explains the genetic structure of American black bear (Ursus americanus) populations in the American Southwest and northern Mexico
Matthew J. Gould, James W. Cain III, Todd C. Atwood, Larisa E. Harding, Heather E. Johnson, Dave P. Onorato, Frederic S. Winslow, Gary W. Roemer
2022, Ecology and Evolution (12)
The phylogeography of the American black bear (Ursus americanus) is characterized by isolation into glacial refugia, followed by population expansion and genetic admixture. Anthropogenic activities, including overharvest, habitat loss, and transportation infrastructure, have also influenced their landscape genetic structure. We describe the genetic structure...
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...
Monitoring offshore CO2 sequestration using marine CSEM methods; constraints inferred from field- and laboratory-based gas hydrate studies
Steven Constable, Laura A. Stern
2022, Energies (15)
Offshore geological sequestration of CO2 offers a viable approach for reducing greenhouse gas emissions into the atmosphere. Strategies include injection of CO2 into the deep-ocean or ocean-floor sediments, whereby depending on pressure–temperature conditions, CO2 can be trapped physically, gravitationally, or converted to CO2 hydrate. Energy-driven research continues to also advance CO2-for-CH4 replacement strategies in the...
Channel mapping of the Colorado River from Glen Canyon Dam to Lees Ferry in Glen Canyon National Recreation Area, Arizona
Matt Kaplinski, Joseph E. Hazel Jr., Paul E. Grams, Tom Gushue, Daniel D. Buscombe, Keith Kohl
2022, Open-File Report 2022-1057
Bathymetric and topographic data were collected from May 2013 to February 2016 along the 15.84-mile reach of the Colorado River spanning from Glen Canyon Dam to Lees Ferry in Glen Canyon National Recreation Area, Arizona. Channel bathymetry was mapped using multibeam and singlebeam echo sounders; subaerial topography was mapped using...
Are existing modeling tools useful to evaluate outcomes in mangrove restoration and rehabilitation projects? A minireview
Victor H. Rivera-Monroy, Xiaochen Zhao, Hongqing Wang, Zuo G. Xue
2022, Forests (13)
Ecosystem modeling is a critical process for understanding complex systems at spatiotemporal scales needed to conserve, manage, and restore ecosystem services (ESs). Although mangrove wetlands are sources of ESs worth billions of dollars, there is a lack of modeling tools. This is reflected in our lack of understanding of mangroves’...
Industrial energy development decouples ungulate migration from the green wave
Ellen O. Aikens, Teal B. Wyckoff, Hall Sawyer, Matthew J. Kauffman
2022, Nature Ecology and Evolution (6) 1733-1741
The ability to freely move across the landscape to track the emergence of nutritious spring green-up (termed ‘green-wave surfing’) is key to the foraging strategy of migratory ungulates. Across the vast landscapes traversed by many migratory herds, habitats are being altered by development with unknown consequences for surfing. Using a...
Absolute accuracy assessment of lidar point cloud using amorphous objects
Minsu Kim, Jason M. Stoker, Jeffrey Irwin, Jeffrey J. Danielson, Seonkyung Park
2022, Remote Sensing (14)
The accuracy assessment of airborne lidar point cloud typically estimates vertical accuracy by computing RMSEz (root mean square error of the z coordinate) from ground check points (GCPs). Due to the low point density of the airborne lidar point cloud, there is often not enough accurate semantic context to find...