Reflection tomography of time-lapse GPR data for studying dynamic unsaturated flow phenomena
<p>Ground-penetrating radar (GPR) reflection tomography algorithms allow non-invasive monitoring of water content changes resulting from flow in the vadose zone. The approach requires multi-offset GPR data that are traditionally slow to collect. We automate GPR data collection to reduce the su...
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doaj-a42aedd23560442fae171cc3e75aab732020-11-25T01:39:09ZengCopernicus PublicationsHydrology and Earth System Sciences1027-56061607-79382020-01-012415916710.5194/hess-24-159-2020Reflection tomography of time-lapse GPR data for studying dynamic unsaturated flow phenomenaA. R. Mangel0A. R. Mangel1S. M. J. Moysey2J. Bradford3Department of Geophysics, Colorado School of Mines, Golden, Colorado 80401, USADepartment of Environmental Engineering and Earth Science, Clemson University, Clemson, South Carolina 29634, USADepartment of Environmental Engineering and Earth Science, Clemson University, Clemson, South Carolina 29634, USADepartment of Geophysics, Colorado School of Mines, Golden, Colorado 80401, USA<p>Ground-penetrating radar (GPR) reflection tomography algorithms allow non-invasive monitoring of water content changes resulting from flow in the vadose zone. The approach requires multi-offset GPR data that are traditionally slow to collect. We automate GPR data collection to reduce the survey time significantly, thereby making this approach to hydrologic monitoring feasible. The method was evaluated using numerical simulations and laboratory experiments that suggest reflection tomography can provide water content estimates to within 5 % vol vol<span class="inline-formula"><sup>−1</sup></span>–10 % vol vol<span class="inline-formula"><sup>−1</sup></span> for the synthetic studies, whereas the empirical estimates were typically within 5 %–15 % of measurements from in situ probes. Both studies show larger observed errors in water content near the periphery of the wetting front, beyond which additional reflectors were not present to provide data coverage. Overall, coupling automated GPR data collection with reflection tomography provides a new method for informing models of subsurface hydrologic processes and a new method for determining transient 2-D soil moisture distributions.</p>https://www.hydrol-earth-syst-sci.net/24/159/2020/hess-24-159-2020.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
A. R. Mangel A. R. Mangel S. M. J. Moysey J. Bradford |
spellingShingle |
A. R. Mangel A. R. Mangel S. M. J. Moysey J. Bradford Reflection tomography of time-lapse GPR data for studying dynamic unsaturated flow phenomena Hydrology and Earth System Sciences |
author_facet |
A. R. Mangel A. R. Mangel S. M. J. Moysey J. Bradford |
author_sort |
A. R. Mangel |
title |
Reflection tomography of time-lapse GPR data for studying dynamic unsaturated flow phenomena |
title_short |
Reflection tomography of time-lapse GPR data for studying dynamic unsaturated flow phenomena |
title_full |
Reflection tomography of time-lapse GPR data for studying dynamic unsaturated flow phenomena |
title_fullStr |
Reflection tomography of time-lapse GPR data for studying dynamic unsaturated flow phenomena |
title_full_unstemmed |
Reflection tomography of time-lapse GPR data for studying dynamic unsaturated flow phenomena |
title_sort |
reflection tomography of time-lapse gpr data for studying dynamic unsaturated flow phenomena |
publisher |
Copernicus Publications |
series |
Hydrology and Earth System Sciences |
issn |
1027-5606 1607-7938 |
publishDate |
2020-01-01 |
description |
<p>Ground-penetrating radar (GPR) reflection tomography algorithms allow
non-invasive monitoring of water content changes resulting from flow in the
vadose zone. The approach requires multi-offset GPR data that are
traditionally slow to collect. We automate GPR data collection to reduce the
survey time significantly, thereby making this approach to hydrologic
monitoring feasible. The method was evaluated using numerical simulations
and laboratory experiments that suggest reflection tomography can provide
water content estimates to within 5 % vol vol<span class="inline-formula"><sup>−1</sup></span>–10 % vol vol<span class="inline-formula"><sup>−1</sup></span> for the
synthetic studies, whereas the empirical estimates were typically within
5 %–15 % of measurements from in situ probes. Both studies show larger
observed errors in water content near the periphery of the wetting front,
beyond which additional reflectors were not present to provide data
coverage. Overall, coupling automated GPR data collection with reflection
tomography provides a new method for informing models of subsurface
hydrologic processes and a new method for determining transient 2-D soil
moisture distributions.</p> |
url |
https://www.hydrol-earth-syst-sci.net/24/159/2020/hess-24-159-2020.pdf |
work_keys_str_mv |
AT armangel reflectiontomographyoftimelapsegprdataforstudyingdynamicunsaturatedflowphenomena AT armangel reflectiontomographyoftimelapsegprdataforstudyingdynamicunsaturatedflowphenomena AT smjmoysey reflectiontomographyoftimelapsegprdataforstudyingdynamicunsaturatedflowphenomena AT jbradford reflectiontomographyoftimelapsegprdataforstudyingdynamicunsaturatedflowphenomena |
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