120-8 Collecting Magnetotelluric Data in Semi-Urban Environments: What We Can Learn from a High-Resolution Survey in the Eastern U.S.
Session: Linking mineral resources and the geologic framework of North America: The USGS Earth Mapping Resources Initiative (Earth MRI) and related activities (Posters)
Poster Booth No.: 18
Presenting Author:
Claire WilliamsAuthors:
Williams, Claire S1, Crosbie, Jade W2, Getty, Kevin T3, Koenig, Paige O4, Wirth, Hallie J5, Loya, Michael J6, Peterson, Dana E7, Wilson, Gavin S8, Bedrosian, Paul A9r> (1) Inalab Consulting, Contracted to U.S. Geological Survey, Fairfax, VA, USA, (2) U.S. Geological Survey, Geology, Geophysics, & Geochemistry Science Center, Lakewood, CO, USA, (3) U.S. Geological Survey, Geology, Geophysics, & Geochemistry Science Center, Lakewood, CO, USA, (4) Inalab Consulting, Contracted to U.S. Geological Survey, Fairfax, VA, USA, (5) Inalab Consulting, Contracted to U.S. Geological Survey, Fairfax, VA, USA, (6) University of Wyoming, Department of Geology and Geophysics, Laramie, WY, USA, (7) U.S. Geological Survey, Geology, Geophysics, & Geochemistry Science Center, Lakewood, CO, USA, (8) U.S. Geological Survey, Geology, Geophysics, & Geochemistry Science Center, Lakewood, CO, USA, (9) U.S. Geological Survey, Geology, Geophysics, & Geochemistry Science Center, Lakewood, CO, USA,Abstract:
Wideband magnetotelluric (MT) surveys are used to map heterogeneous electrical resistivity structures and are essential to understanding the geologic frameworks of complex tectonic domains. In 2025, the U.S. Geological Survey began collecting wideband MT data at 35-km spacing across the eastern United States (Georgia to Maine, from the Atlantic coast to west of the Appalachian Mountains), refining the spatial resolution of the long period US MTArray (70-km spacing) through higher-density data collection. Wideband MT data, sensitive to upper-crustal structure, is non-existent across the eastern U.S. save for two legacy profiles. While the survey’s primary aim is to estimate geoelectric hazards due to geomagnetic storms—which can cause damage to or collapse the electric power grid—high resolution 3D resistivity models derived from new MT data will further advance our understanding of Appalachian tectonics and provide context for critical mineral assessments. In a region overlapping more than three dozen known mineral deposits (e.g. tin, tungsten, and zinc) and hundreds of kilometers of Earth MRI focus areas (e.g. marine chemoclines and basin brine paths), these improved models may help identify new crustal or lithospheric discontinuities that act as pathways for deposit-forming fluids.
To date, we have collected data at 189 out of ~600 planned MT soundings. Collected data spans the entirety of Delaware, Maryland, Viginia, and West Virginia and parts of Ohio, New Jersey, Kentucky, and Pennsylvania. Challenges specific to working in semi-urban environments include poor data quality from pervasive cultural noise (pipelines, powerlines, electrified railroads, etc.) and permitting in areas where public lands are limited. Additionally, highly resistive lithosphere underlies much of the survey area, resulting in noise contamination at sites far removed from infrastructure. With innovative data processing methods to combat infrastructure noise, we have successfully produced preliminary 3D resistivity models, which will be used to better forecast the impact of space weather events, refine our understanding of Appalachian tectonics, and improve our ability to map subsurface mineral systems and fluid pathways.
Geological Society of America Abstracts with Programs. Vol. 58, No. 5, 2026
doi: 10.1130/abs/2026AM-16961
© Copyright 2026 The Geological Society of America (GSA), all rights reserved.
Collecting Magnetotelluric Data in Semi-Urban Environments: What We Can Learn from a High-Resolution Survey in the Eastern U.S.
Category
Topical Sessions
Description
Session Format: Poster
Presentation Date: 10/12/2026
Presentation Room: CCC, Hall F
Poster Booth No.: 18
Author Availability: 2:00 to 4:00 p.m.
Back to Session