Published September 4, 2023 | Version v1
Conference paper Open

Quantifying salinity in the layered coastal aquifers underlying and adjacent to Delaware Bay USA using AEM-derived resistivity

  • 1. U.S. Geological Survey, Denver, Colorado, USA, lbball@usgs.gov
  • 2. U.S. Geological Survey, Denver, Colorado, USA, bminsley@usgs.gov
  • 3. U.S. Geological Survey, Denver, Colorado, USA, gswilson@usgs.gov
  • 4. University of Delaware, Newark, Delaware, USA, hmichael@udel.edu
  • 5. U.S. Geological Survey, Troy, New York, USA, daburns@usgs.gov
  • 6. U.S. Geological Survey, Dover, Delaware, USA, mrnardi@usgs.gov
  • 7. U.S. Geological Survey, Lawrenceville, New Jersey, USA, echarles@usgs.gov

Description

Airborne electromagnetic (AEM) methods are particularly well suited to coastal aquifer salinity studies, yet the quantitative translation from bulk resistivity to fluid salinity carries uncertainty that can impact mapped salinity distributions and interpretations of the freshwater-saline interface and hydrostratigraphic layers. A recent AEM survey of the region near the Delaware Bay, USA highlights several challenges common to coastal hydrogeologic settings that may influence both qualitative and quantitative interpretation. We use a Bayesian inversion to estimate geophysical parameter uncertainty, and results are integrated with hydrogeologic measurements to develop quantitative interpretations of salinity across the freshwater-saline interface in stacked aquifers.

Other

Open-Access Online Publication: October 30, 2023

Files

AEM2023_ID004.pdf

Files (348.6 kB)

Name Size Download all
md5:687d73c668d954c69e82957da67380e2
348.6 kB Preview Download