Methods for characterizing subsurface volatile contaminants using in-situ sensors
Abstract
An inverse analysis method for characterizing diffusion of vapor from an underground source of volatile contaminant using data taken by an in-situ sensor. The method uses one-dimensional solutions to the diffusion equation in Cartesian, cylindrical, or spherical coordinates for isotropic and homogenous media. If the effective vapor diffusion coefficient is known, then the distance from the source to the in-situ sensor can be estimated by comparing the shape of the predicted time-dependent vapor concentration response curve to the measured response curve. Alternatively, if the source distance is known, then the effective vapor diffusion coefficient can be estimated using the same inverse analysis method. A triangulation technique can be used with multiple sensors to locate the source in two or three dimensions. The in-situ sensor can contain one or more chemiresistor elements housed in a waterproof enclosure with a gas permeable membrane.
- Inventors:
-
- Albuquerque, NM
- Issue Date:
- Research Org.:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 908594
- Patent Number(s):
- 7003405
- Application Number:
- 10/280,258
- Assignee:
- Sandia Corporation (Albuquerque, NM)
- Patent Classifications (CPCs):
-
G - PHYSICS G01 - MEASURING G01V - GEOPHYSICS
Y - NEW / CROSS SECTIONAL TECHNOLOGIES Y10 - TECHNICAL SUBJECTS COVERED BY FORMER USPC Y10T - TECHNICAL SUBJECTS COVERED BY FORMER US CLASSIFICATION
- DOE Contract Number:
- AC04-94AL85000
- Resource Type:
- Patent
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 47 OTHER INSTRUMENTATION
Citation Formats
Ho, Clifford K. Methods for characterizing subsurface volatile contaminants using in-situ sensors. United States: N. p., 2006.
Web.
Ho, Clifford K. Methods for characterizing subsurface volatile contaminants using in-situ sensors. United States.
Ho, Clifford K. Tue .
"Methods for characterizing subsurface volatile contaminants using in-situ sensors". United States. https://www.osti.gov/servlets/purl/908594.
@article{osti_908594,
title = {Methods for characterizing subsurface volatile contaminants using in-situ sensors},
author = {Ho, Clifford K},
abstractNote = {An inverse analysis method for characterizing diffusion of vapor from an underground source of volatile contaminant using data taken by an in-situ sensor. The method uses one-dimensional solutions to the diffusion equation in Cartesian, cylindrical, or spherical coordinates for isotropic and homogenous media. If the effective vapor diffusion coefficient is known, then the distance from the source to the in-situ sensor can be estimated by comparing the shape of the predicted time-dependent vapor concentration response curve to the measured response curve. Alternatively, if the source distance is known, then the effective vapor diffusion coefficient can be estimated using the same inverse analysis method. A triangulation technique can be used with multiple sensors to locate the source in two or three dimensions. The in-situ sensor can contain one or more chemiresistor elements housed in a waterproof enclosure with a gas permeable membrane.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2006},
month = {2}
}
Works referenced in this record:
In-Situ Chemiresistor Sensor Package for Real-Time Detection of Volatile Organic Compounds in Soil and Groundwater
journal, January 2002
- Ho, Clifford; Hughes, Robert
- Sensors, Vol. 2, Issue 1
An experimental investigation of air venting of volatile liquid hydrocarbon mixtures from homogeneous and heterogeneous porous media
journal, November 1992
- Ho, Clifford K.; Udell, Kent K.
- Journal of Contaminant Hydrology, Vol. 11, Issue 3-4
A Comparison of Methods for Predicting Gaseous Diffusion Coefficients
journal, July 1965
- Fuller, E. N.; Giddings, J. C.
- Journal of Chromatographic Science, Vol. 3, Issue 7
Analytical Inverse Model for Multicomponent Soil Vapor Extraction
journal, June 1998
- Ho, Clifford K.
- Journal of Environmental Engineering, Vol. 124, Issue 6