Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content

Groundwater age-tracing data and models in a PFOA-contaminated bedrock aquifer, North Bennington, Vermont

Metadata Updated: October 28, 2023

We computed mean groundwater ages and age distributions at eight wells by calibrating lumped parameter models (LPMs) to concentrations of tracers (3H, CFCs, SF6) in samples using the computer program TracerLPM (Jurgens and others, 2012). We also measured 14C but all samples contained ancient carbonate from the limestone bedrock, and we were unable to resolve the atmospherically-derived 14C sufficiently to use it as a tracer. Tritium was below the detection level in two of the eight well-water samples, indicating the water was recharged prior to about 1950. Groundwater from the other six wells could be fitted to LPMs that were either piston flow models (PFM), exponential – piston flow models (EPM), or binary mixing combinations of PFM and EPM (see Jurgens and others (2012) for model descriptions). Tracer concentrations in samples from three wells were best described using simple models (one PFM and two EPMs), and had mean ages ranging from 22 to 28 years. Tracer concentrations in one well-water sample were fit using a binary EPM-PFM model, and had a mean age of 22 years; water older than 70 years contributed 11% of the water. Tracer concentrations in groundwater from the two remaining wells were fit using binary PFM-PFM models, each with a very young fraction (2.9 and 6.6 years) and a >70 year fraction. In both cases the older component represented about 30% of the water. The modeled groundwater ages and transport mechanisms suggested by the models were consistent with our conceptual model of the hydrogeologic framework and helped to constrain the timescale of movement of PFOA contaminant within the aquifer. Jurgens, B.C., Böhlke, J.K., and Eberts, S.M., 2012, TracerLPM (Version 1): An Excel® workbook for interpreting groundwater age distributions from environmental tracer data: U.S. Geological Survey Techniques and Methods Report 4-F3, 60 p., https://pubs.usgs.gov/tm/4-f3/.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date June 1, 2023
Metadata Updated Date October 28, 2023

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date October 28, 2023
Publisher U.S. Geological Survey
Maintainer
@Id http://datainventory.doi.gov/id/dataset/0ed9eaf7572364899fb698394b1e4ed7
Identifier USGS:5b0ebb45e4b0c39c934b13a8
Data Last Modified 20230425
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://datainventory.doi.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 98536d64-6437-4fe2-90e3-afcaea92c449
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -73.3,42.88,-73.1,42.99
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash 52b09861f5c984d89c1deca0a377490a644eebcafddc1b3ddebafc64f08a08b3
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -73.3, 42.88, -73.3, 42.99, -73.1, 42.99, -73.1, 42.88, -73.3, 42.88}

Didn't find what you're looking for? Suggest a dataset here.