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.
Filter Total Items: 5619
Physics-guided machine learning from simulation data: An application in modeling lake and river systems Physics-guided machine learning from simulation data: An application in modeling lake and river systems
This paper proposes a new physics-guided machine learning approach that incorporates the scientific knowledge in physics-based models into machine learning models. Physics-based models are widely used to study dynamical systems in a variety of scientific and engineering problems. Although they are built based on general physical laws that govern the relations from input to output...
Authors
X. Jia, Yiqun Xie, Sheng Li, Shengyu Chen, Jacob Aaron Zwart, Jeffrey Michael Sadler, Alison P. Appling, Samantha K. Oliver, Jordan Read
Data-driven prospectivity modelling of sediment-hosted mineral systems Data-driven prospectivity modelling of sediment-hosted mineral systems
Mississippi Valley-type (MVT) and clastic-dominated (CD) deposits are important sources for Zn, Pb, Ag, and Cd as well as the critical elements Ga, Ge, In, and Sb. However, mapping the drivers, sources, pathways, and traps of MVT and CD deposits within the much larger and mostly unmineralized sedimentary basins remain some of the least understood aspects of these mineral systems. Herein...
Authors
Christopher J.M. Lawley, Anne E. McCafferty, Garth E. Graham, Michael G. Gadd, David L. Huston, Karen D. Kelley, Karol Czarnota, Suzanne Paradis, Jan M. Peter, Nathan Hayward, Mike Barlow, Poul Emsbo, Joshua A. Coyan, Carma A. San Juan
Exploring basin-scale relations and unsupervised classification to quantify and automate the definition of assessment units in USGS continuous oil and gas resource assessments Exploring basin-scale relations and unsupervised classification to quantify and automate the definition of assessment units in USGS continuous oil and gas resource assessments
The U.S. Geological Survey (USGS) assesses potential for undiscovered, technically recoverable oil and gas resources in priority geologic provinces and quantifies resource volume estimates within subdivisions called assessment units (AUs). AU boundaries are defined by USGS geologists using quantitative and qualitative geologic information. Variables contained in IHS Markit’s well and...
Authors
Chilisa Marie Shorten, Scott A. Kinney, Katherine J. Whidden
Geophysical mapping of the eastern arm of the Midcontinent Rift in Upper Michigan Geophysical mapping of the eastern arm of the Midcontinent Rift in Upper Michigan
The western arm of the Midcontinent Rift system (MRS), extending from western Lake Superior into Kansas, is somewhat understood due to exposures of MRS igneous and sedimentary rocks, scattered drillholes, and seismic imaging. By comparison, the eastern rift arm (ERA), extending from eastern Lake Superior through lower Michigan is poorly understood, with almost no outcropping volcanic...
Authors
Paul A. Bedrosian, Michael Pace, Katrina D. Zamudio
Fundamental framework geology in the southern Appalachian crystalline core: The U.S. Geological Survey National Cooperative Geologic Mapping Program (FEDMAP Component) Piedmont-Blue Ridge pPoject Fundamental framework geology in the southern Appalachian crystalline core: The U.S. Geological Survey National Cooperative Geologic Mapping Program (FEDMAP Component) Piedmont-Blue Ridge pPoject
The USGS NCGMP Piedmont-Blue Ridge (PBR) Project aims to develop 4D geologic framework models across the southern Appalachian orogen. The primary objective of the Project is to construct geologic maps and accompanying GeMS geodatabases at scales of 1:24K and 1:100K across the VA-NC-TN state lines where existing geologic map coverage is not adequate (>1:250K) to solve societal and...
Authors
Arthur J. Merschat, Mark W. Carter
Changes in liquefaction severity in the San Francisco Bay Area with sea-level rise Changes in liquefaction severity in the San Francisco Bay Area with sea-level rise
This paper studies the impacts of sea-level rise on liquefaction triggering and severity around the San Francisco Bay Area, California, for the M 7.0 “HayWired” earthquake scenario along the Hayward fault. This work emerged from stakeholder engagement for the US Geological Survey releases of the HayWired earthquake scenario and the Coastal Storm Modeling System projects, in which local...
Authors
Alex R. Grant, Anne Wein, Kevin M. Befus, Juliette Finzi-Hart, Mike Frame, Rachel Volentine, Patrick L. Barnard, Keith L. Knudsen
Mapping multivariate ore occurrence data with correspondence analysis Mapping multivariate ore occurrence data with correspondence analysis
Correspondence analysis is a multivariate method that can be applied to mineral abundance data. Ore mineral assemblages from broadly underutilized prospect and occurrence data can be treated as geochemical anomalies, projected to low-dimensional space, and returned into map view. This approach could have applications for mineral prospectivity mapping and delineation of permissive areas...
Authors
Joshua Mark Rosera
Experiences in LP-IoT: EnviSense deployment of remotely reprogrammable environmental sensors Experiences in LP-IoT: EnviSense deployment of remotely reprogrammable environmental sensors
The advent of Low Power Wide Area Networks (LPWAN) has improved the feasibility of wireless sensor networks for environmental sensing across wide areas. We have built EnviSense, an ultra-low power environmental sensing system, and deployed over a dozen of them across two locations in Northern California for hydrological monitoring applications with the U.S. Geological Survey (USGS). This...
Authors
Reese Grimsley, Mathieu D. Marineau, Robert A. Iannucci
Collaborative recorded data based response studies of four tall buildings in California Collaborative recorded data based response studies of four tall buildings in California
Seismic instrumentation, recorded earthquake responses, and collaborative studies of the response records from four tall California buildings are summarized in this summary paper. These buildings include the tallest San Francisco building, the 61-story Salesforce Tower, and the tallest California building, the 73-story Wilshire Grand Tower, as well as a 51-story residential building in...
Authors
Daniel Swensen, Mehmet Celebi
ShakeAlert® earthquake warning: The challenge of transforming ground motion into protective actions ShakeAlert® earthquake warning: The challenge of transforming ground motion into protective actions
The USGS ShakeAlert® earthquake early warning (EEW) system is operational and providing public alerting in three West Coast states: California, Washington, and Oregon. Since 2006 the USGS has pursued a strategy of incrementally developing and rolling out EEW for increasingly larger areas and uses. As funding from federal and state budgets grew the system became more capable, detection...
Authors
Douglas D. Given, West Coast ShakeAlert Project Team
Stable isotope and geochemical characterization of nutrient sources and surface water near a confined animal feeding operation in the Big Creek watershed of northwest Arkansas Stable isotope and geochemical characterization of nutrient sources and surface water near a confined animal feeding operation in the Big Creek watershed of northwest Arkansas
A concentrated animal feeding operation (CAFO) established in Newton County, Arkansas, near Big Creek, a tributary of the Buffalo National River, raised concern about potential degradation of water quality in the karst watershed. In this study, isotopic tools were combined with standard geochemical approaches to characterize nutrient sources and dynamics in the Big Creek watershed. An...
Authors
Kelly Sokolosky, Phillip D. Hays
Multiscale hyperspectral imaging of hydrothermal alteration in Yellowstone National Park, USA Multiscale hyperspectral imaging of hydrothermal alteration in Yellowstone National Park, USA
Imaging spectroscopy (hyperspectral imaging) data have mainly been used to map surface materials covering relatively small areas from airborne sensors over the past 20+ years. As part of the U.S. Geological Survey Integrated hyperspectral, geophysical and geochemical studies of Yellowstone National Park hydrothermal systems project, we have collected multiscale imaging spectrometer data...
Authors
Todd M. Hoefen, Raymond F. Kokaly, Keith Eric Livo, John Michael Meyer, JoAnn M. Holloway