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    Reflection tomography of time-lapse GPR data for studying dynamic unsaturated flow phenomena

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    Author
    Mangel, Adam R.; Moysey, Stephen M. J.; Bradford, John
    Abstract
    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−1–10 % vol vol−1 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.
    URI
    http://hdl.handle.net/10342/8295
    Date
    2020-01-14
    Citation:
    APA:
    Mangel, Adam R., & Moysey, Stephen M. J., & Bradford, John. (January 2020). Reflection tomography of time-lapse GPR data for studying dynamic unsaturated flow phenomena. , (), - . Retrieved from http://hdl.handle.net/10342/8295

    Display/Hide MLA, Chicago and APA citation formats.

    MLA:
    Mangel, Adam R., and Moysey, Stephen M. J., and Bradford, John. "Reflection tomography of time-lapse GPR data for studying dynamic unsaturated flow phenomena". . . (), January 2020. September 27, 2023. http://hdl.handle.net/10342/8295.
    Chicago:
    Mangel, Adam R. and Moysey, Stephen M. J. and Bradford, John, "Reflection tomography of time-lapse GPR data for studying dynamic unsaturated flow phenomena," , no. (January 2020), http://hdl.handle.net/10342/8295 (accessed September 27, 2023).
    AMA:
    Mangel, Adam R., Moysey, Stephen M. J., Bradford, John. Reflection tomography of time-lapse GPR data for studying dynamic unsaturated flow phenomena. . January 2020; (): . http://hdl.handle.net/10342/8295. Accessed September 27, 2023.
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