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Lumped parameter models of groundwater age from the Columbia Plateau Aquifer, Vertical Flowpath Study Network

Dates

Publication Date
Start Date
2014-07
End Date
2014-09

Citation

Solder, J.E., 2020, Lumped parameter models of groundwater age from the Columbia Plateau Aquifer, Vertical Flowpath Study Network: U.S. Geological Survey, https://doi.org/10.5066/P99N52Q5.

Summary

This data release documents two Microsoft Excel tables that contain data for understanding tracer concentrations and groundwater age in the Columbia Plateau aquifer system. Results for geochemical correction of carbon-14, and lumped parameter modeling of groundwater age for the sample network (VPFS, vertical flow path study) are described. Geochemical carbon-14 correction results (RFG) describe geochemical correction of carbon-14 in dissolved inorganic carbon (DIC) for groundwater age dating. Datasets includes measured water parameters and chemistry, model parameter inputs, and final corrected carbon-14 in DIC. Geochemical correction was completed using the revised Fontes and Granier model of Han and Plummer (2013). Mean age and age [...]

Contacts

Point of Contact :
John E Solder
Originator :
John E Solder
Metadata Contact :
John E Solder
Publisher :
U.S. Geological Survey
Distributor :
U.S. Geological Survey - ScienceBase
SDC Data Owner :
Utah Water Science Center
USGS Mission Area :
Water Resources

Attached Files

Click on title to download individual files attached to this item.

TracerLPM_CCPT_DataRelease.zip 115.23 KB application/zip
VFPS_CCPT_TracerLPM_Metadata.xml
Original FGDC Metadata

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25.58 KB application/fgdc+xml

Purpose

Environmental tracer data were collected from wells that withdraw water from the Columbia Plateau aquifer system in 2014 to understand the age and vulnerability of the aquifer to natural and anthropogenic contaminants.

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Communities

  • USGS Data Release Products

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Provenance

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P99N52Q5

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