Comparison of time-lapse GPR data collected under natural and forced infiltration conditions to estimate vadose zone hydraulic parameters

M. Scholer; J. Irving; M. Looms; L. Nielsen; K. Holliger

doi:10.1190/segam2012-1089.1

Comparison of time-lapse GPR data collected under natural and forced infiltration conditions to estimate vadose zone hydraulic parameters

M. Scholer
, J. Irving
, M. Looms
, L. Nielsen
, K. Holliger

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › peer-review

Abstract

Time-lapse crosshole ground-penetrating radar (GPR) data, collected while infiltration occurs, can provide valuable information regarding the hydraulic properties of the unsaturated zone. In particular, the stochastic inversion of such data provides estimates of parameter uncertainties, which are necessary for hydrological prediction and decision making. Here, we investigate the effect of different infiltration conditions on the stochastic inversion of time-lapse, zero-offset-profile, GPR data. Inversions are performed using a Bayesian Markov-chain-Monte-Carlo methodology. Our results clearly indicate that considering data collected during a forced infiltration test helps to better refine soil hydraulic properties compared to data collected under natural infiltration conditions.

Original language	English
Title of host publication	Society of Exploration Geophysicists International Exposition and 82nd Annual Meeting 2012, SEG 2012
Publisher	Society of Exploration Geophysicists
Pages	3983-3987
Number of pages	5
ISBN (Print)	978-162276945-2
DOIs	https://doi.org/10.1190/segam2012-1089.1
Publication status	Published - 2012
Externally published	Yes
Event	Society of Exploration Geophysicists International Exposition and 82nd Annual Meeting 2012 - Las Vegas, United States Duration: 4 Nov 2012 → 9 Nov 2012 Conference number: 82

Publication series

Series	SEG Technical Program Expanded Abstracts
Volume	2012
ISSN	1052-3812

Conference

Conference	Society of Exploration Geophysicists International Exposition and 82nd Annual Meeting 2012
Abbreviated title	SEG 2012
Country/Territory	United States
City	Las Vegas
Period	4/11/12 → 9/11/12

Programme Area

Programme Area 3: Energy Resources

Access to Document

10.1190/segam2012-1089.1

Cite this

Scholer, M., Irving, J., Looms, M., Nielsen, L., & Holliger, K. (2012). Comparison of time-lapse GPR data collected under natural and forced infiltration conditions to estimate vadose zone hydraulic parameters. In Society of Exploration Geophysicists International Exposition and 82nd Annual Meeting 2012, SEG 2012 (pp. 3983-3987). Society of Exploration Geophysicists. https://doi.org/10.1190/segam2012-1089.1

Scholer, M. ; Irving, J. ; Looms, M. et al. / Comparison of time-lapse GPR data collected under natural and forced infiltration conditions to estimate vadose zone hydraulic parameters. Society of Exploration Geophysicists International Exposition and 82nd Annual Meeting 2012, SEG 2012. Society of Exploration Geophysicists, 2012. pp. 3983-3987 (SEG Technical Program Expanded Abstracts, Vol. 2012).

@inproceedings{3587506567d34109ae9518be1c8c1d85,

title = "Comparison of time-lapse GPR data collected under natural and forced infiltration conditions to estimate vadose zone hydraulic parameters",

abstract = "Time-lapse crosshole ground-penetrating radar (GPR) data, collected while infiltration occurs, can provide valuable information regarding the hydraulic properties of the unsaturated zone. In particular, the stochastic inversion of such data provides estimates of parameter uncertainties, which are necessary for hydrological prediction and decision making. Here, we investigate the effect of different infiltration conditions on the stochastic inversion of time-lapse, zero-offset-profile, GPR data. Inversions are performed using a Bayesian Markov-chain-Monte-Carlo methodology. Our results clearly indicate that considering data collected during a forced infiltration test helps to better refine soil hydraulic properties compared to data collected under natural infiltration conditions.",

author = "M. Scholer and J. Irving and M. Looms and L. Nielsen and K. Holliger",

note = "Publisher Copyright: {\textcopyright} 2012 SEG.; Society of Exploration Geophysicists International Exposition and 82nd Annual Meeting 2012, SEG 2012 ; Conference date: 04-11-2012 Through 09-11-2012",

year = "2012",

doi = "10.1190/segam2012-1089.1",

language = "English",

isbn = "978-162276945-2",

series = "SEG Technical Program Expanded Abstracts",

pages = "3983--3987",

booktitle = "Society of Exploration Geophysicists International Exposition and 82nd Annual Meeting 2012, SEG 2012",

publisher = "Society of Exploration Geophysicists",

address = "United States",

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Scholer, M, Irving, J, Looms, M, Nielsen, L & Holliger, K 2012, Comparison of time-lapse GPR data collected under natural and forced infiltration conditions to estimate vadose zone hydraulic parameters. in Society of Exploration Geophysicists International Exposition and 82nd Annual Meeting 2012, SEG 2012. Society of Exploration Geophysicists, SEG Technical Program Expanded Abstracts, vol. 2012, pp. 3983-3987, Society of Exploration Geophysicists International Exposition and 82nd Annual Meeting 2012, Las Vegas, Nevada, United States, 4/11/12. https://doi.org/10.1190/segam2012-1089.1

Comparison of time-lapse GPR data collected under natural and forced infiltration conditions to estimate vadose zone hydraulic parameters. / Scholer, M.; Irving, J.; Looms, M. et al.
Society of Exploration Geophysicists International Exposition and 82nd Annual Meeting 2012, SEG 2012. Society of Exploration Geophysicists, 2012. p. 3983-3987 (SEG Technical Program Expanded Abstracts, Vol. 2012).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › peer-review

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T1 - Comparison of time-lapse GPR data collected under natural and forced infiltration conditions to estimate vadose zone hydraulic parameters

AU - Scholer, M.

AU - Irving, J.

AU - Looms, M.

AU - Nielsen, L.

AU - Holliger, K.

N1 - Conference code: 82

PY - 2012

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N2 - Time-lapse crosshole ground-penetrating radar (GPR) data, collected while infiltration occurs, can provide valuable information regarding the hydraulic properties of the unsaturated zone. In particular, the stochastic inversion of such data provides estimates of parameter uncertainties, which are necessary for hydrological prediction and decision making. Here, we investigate the effect of different infiltration conditions on the stochastic inversion of time-lapse, zero-offset-profile, GPR data. Inversions are performed using a Bayesian Markov-chain-Monte-Carlo methodology. Our results clearly indicate that considering data collected during a forced infiltration test helps to better refine soil hydraulic properties compared to data collected under natural infiltration conditions.

AB - Time-lapse crosshole ground-penetrating radar (GPR) data, collected while infiltration occurs, can provide valuable information regarding the hydraulic properties of the unsaturated zone. In particular, the stochastic inversion of such data provides estimates of parameter uncertainties, which are necessary for hydrological prediction and decision making. Here, we investigate the effect of different infiltration conditions on the stochastic inversion of time-lapse, zero-offset-profile, GPR data. Inversions are performed using a Bayesian Markov-chain-Monte-Carlo methodology. Our results clearly indicate that considering data collected during a forced infiltration test helps to better refine soil hydraulic properties compared to data collected under natural infiltration conditions.

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T3 - SEG Technical Program Expanded Abstracts

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Scholer M, Irving J, Looms M, Nielsen L, Holliger K. Comparison of time-lapse GPR data collected under natural and forced infiltration conditions to estimate vadose zone hydraulic parameters. In Society of Exploration Geophysicists International Exposition and 82nd Annual Meeting 2012, SEG 2012. Society of Exploration Geophysicists. 2012. p. 3983-3987. (SEG Technical Program Expanded Abstracts, Vol. 2012). doi: 10.1190/segam2012-1089.1

Comparison of time-lapse GPR data collected under natural and forced infiltration conditions to estimate vadose zone hydraulic parameters

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