Conference Papers
Science Quality and Integrity
The USGS provides unbiased, objective, and impartial scientific information upon which our audiences, including resource managers, planners, and other entities, rely.
The USGS provides unbiased, objective, and impartial scientific information upon which our audiences, including resource managers, planners, and other entities, rely.
Browse almost 5,000 conference papers authored by our scientists and refine search by topic, location, year, and advanced search.
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Big avalanches in a changing climate: Using tree-ring derived avalanche chronologies to examine avalanche frequency across multiple climate types
Large-magnitude snow avalanches pose a hazard to humans and infrastructure worldwide. Analyzing the spatiotemporal behavior of avalanches and the contributory climate factors is important for understanding historical variability in climate-avalanche relationships as well as improving avalanche forecasting. This study uses established dendrochronological methods to develop long-term regional avalan
Authors
Erich Peitzsch, Gregory T. Pederson, Justin Martin, Eran Hood, Ethan Greene, Karl Birkeland, Kelly Elder, Gabriel Wolken, Nickolas E. Kichas, Daniel Kent Stahle, John Harley
Using tree rings to compare Colorado’s 2019 avalanche cycle to previous large avalanche cycles
Large magnitude avalanches (size ≥D3) impact settlements, transportation corridors, and public safety worldwide. In Colorado, United States, avalanches have killed more people than any other natural hazard since 1950. In March 2019, a historically large magnitude avalanche cycle occurred throughout the entire mountainous portion of Colorado resulting in more than 1000 reported avalanches during a
Authors
Erich Peitzsch, Ethan Greene, Jason Konigsberg, Gregory T. Pederson, Justin Martin, Nickolas Kichas, Daniel Kent Stahle, Adrien Favillier, Nicolas Eckert, Karl Birkeland, Kelly Elder
Stable isotope constraints on the source of ore fluids for the Hicks Dome REE+Y-HFSE-fluorspar deposit
Hicks Dome is comprised of coarse crystalline Mississippi Valley Type deposits at shallow levels and an enigmatic, fine-grained fluorite, rare earth elements, Y, high field strength elements, Be, and Ba rich deposit at deeper levels. Phyllosilicates from a lamprophyre dike and a breccia from two Hicks Dome drill cores were sampled to resolve the fluid history of the entire deposit using light stab
Authors
Julia A. McIntosh, Craig A. Johnson, Allen K. Andersen, Albert H. Hofstra
Development of an integrated survey design to assess invasive round goby abundance and distribution across gradients in substrate and depth
No abstract available.
Authors
Peter C. Esselman, Darryl W. Hondorp, Edward F. Roseman, Meredith B. Nevers, Todd Wills, Stephen C. Riley
Can the mining industry meet global demand for critical minerals?
No abstract available.
Authors
Jeffrey L. Mauk, Jonathan Andrew Funk, Nick Karl
Transferring deep learning models for hydrographic feature extraction from IfSAR data in Alaska
The National Hydrography Dataset (NHD) managed by the U.S. Geological Survey (USGS) is being updated with higher-quality feature representations through efforts that derive hydrography from 3DEP HR elevation datasets. Deriving hydrography from elevation through traditional flow routing and interactive methods is a complex, time-consuming process that must be tailored for different hydrogeomorphic
Authors
Larry V. Stanislawski, Nattapon Jaroenchai, Shaowen Wang, Ethan J. Shavers, Alexander Duffy, Philip T. Thiem, Zhe Jiang, Adam Camerer
Generalization quality metrics to support multiscale mapping: Hausdorff and average distance between polylines
Large geospatial datasets must often be generalized for analysis and display at reduced scales. Automated methods including artificial intelligence and deep learning are being applied to this problem, but the results are often analyzed on the basis of limited and subjective measures. To better support automation, a project is underway to develop a robust Python toolkit for computing objective metr
Authors
Barry J. Kronenfeld, Larry Stanislawski, Barbara P. Buttenfield, Ethan J. Shavers
Constraints on the genesis of Au veins in interior Alaska: Evidence from geochronology and vein textures
The origin of Au-bearing, low sulfide quartz veins in the Pogo and Tibbs Creek regions of interior Alaska remain enigmatic. Intrusion-related Au and mesozonal orogenic vein models have both been proposed (Thompson and Newberry, 2000; Rhys et al., 2003; Goldfarb et al., 2022; Dilworth et al., 2007). To date, studies of igneous geochronology and metamorphic timing have shown that gold veins formed b
Authors
Douglas C. Kreiner, William Thompson, Jonathan Caine, Ashleigh Ball, Christopher Holm-Denoma, Paul O'Sullivan, Holly J. Stein
CGS: Coupled growth and survival model with cohort fairness
Fish modeling in complex environments is critical for understanding drivers of population dynamics in aquatic systems. This paper proposes a Bayesian network method for modeling fish survival and growth over multiple connected rivers. Traditional fish survival models capture the effect of multiple environmental drivers (e.g., stream temperature, stream flow) by adding different variables, which in
Authors
Erhu He, Yue Wan, Benjamin Letcher, Jennifer Burlingame Hoyle Fair, Yiquin Xie, Xiaowei Jia
The spatial distribution of debris flows in relation to observed rainfall anomalies: Insights from the Dolan Fire, California
A range of hydrologic responses can be observed in steep, recently burned terrain, which makes predicting the spatial distribution of large debris flows challenging. Studies from rainfall-induced landslides in unburned areas show evidence of hydroclimatic tuning of landslide triggering, such that the spatial distribution of events is best predicted by the observed rainfall anomaly relative to clim
Authors
David B. Cavagnaro, Scott W. McCoy, Matthew A. Thomas, Jaime Kostelnik, Donald N. Lindsay
Bedrock erosion by debris flows at Chalk Cliffs, Colorado, USA: Implications for bedrock channel evolution
Debris flow erosion into bedrock helps to set the pace of mountain denudation, but there are few empirical observations of this process. We studied the effects of debris flows on bedrock erosion using Structure-From-Motion photogrammetry and multiple real-time monitoring measurements. We found that the distribution of bedrock erosion across the channel cross-section could be generalized as an expo
Authors
Francis K. Rengers, Jason W. Kean, Jeffrey A. Coe, Megan Hanson, Joel Smith
Runout model evaluation based on back-calculation of building damage
We evaluated the ability of three debris-flow runout models (RAMMS, FLO2D and D-Claw) to
predict the number of damaged buildings in simulations of the 9 January 2019 Montecito, California, debris-flow event. Observations of building damage after the event were combined with OpenStreetMap building footprints to construct a database of all potentially impacted buildings. At the estimated event volum
Authors
Katherine R. Barnhart, Jason W. Kean