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A finite-difference algorithm used to simulate one-dimensional diffusion and adsorption of trichloroethene in a rock matrix

Metadata Updated: October 26, 2023

Simulations of one-dimensional (1-D) diffusion and adsorption of trichloroethene (TCE) in a rock matrix are conducted using rock properties identified from a mudstone aquifer in the Newark Basin, near West Trenton, New Jersey. The simulations are conducted using a finite-difference algorithm that was prepared for this investigation to solve the equation for 1-D diffusion and linear equilibrium adsorption. The simulations are conducted for a hypothesized 1-D section of a rock matrix and the georeferencing is based on the locations of the rock core samples that were collected and analyzed as part of this investigation. The rock matrix is assumed to be adjacent to a fracture, where the TCE concentration in the fracture is responsible for diffusion into and out of the rock matrix. The fraction of organic carbon (foc) in the rock matrix can either be spatially uniform or spatially variable. Spatial variability in foc is defined from the mean and standard deviation of a log-normally distributed parameter. Other rock properties controlling the diffusion and adsorption of TCE in the rock matrix are assumed to be spatially uniform. Simulations of diffusion and adsorption into the rock matrix are conducted for four cases. These cases are: (1) spatially uniform foc equal to the average of foc from all rock samples; (2) spatially uniform foc equal to the maximum foc from all rock samples; (3) spatially uniform foc equal to the average foc from the Black Fissile (BLK-FIS) mudstone samples; (4) spatially variable foc defined from the statistics of the BLK-FIS mudstone samples. This USGS data release contains all of the input and output files for the simulations described in the associated journal article (https://doi.org/10.1016/j.jconhyd.2018.09.001).

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.

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Dates

Metadata Created Date June 1, 2023
Metadata Updated Date October 26, 2023

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date October 26, 2023
Publisher U.S. Geological Survey
Maintainer
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Identifier USGS:9da6cb09-c60a-4ea9-a7ee-2fbbab3e258c
Data Last Modified 20201117
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 f063f807-ec59-4796-85b0-d419d0977427
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -74.81228649616243,40.268720575626574,-74.8119217157364,40.2690930526443
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash bf0f86da9e5a9a736933d5798794c47ca4c200b6753f47e9f482e68ca70b2fb2
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