Automated water content reconstruction of zero-offset borehole ground penetrating radar data using simulated annealing

Dale F. Rucker, Paul A Ferre

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

The automated inversion of water content profiles from first arrival travel time data collected with zero-offset borehole ground penetrating radar is discussed. The inversion algorithm sets out to find the water content profile that minimizes a least-squares objective function representing the difference between the modeled and measured first arrival travel time. Ray-tracing analysis is used to determine the travel time for direct and critically refracted paths to identify the first arrival travel time. This automated method offers improvement over a previously presented graphical solution that considers both direct and critical refractions. Specifically, this approach can identify thinner layers and allow for the incorporation of uncertainty in the travel time measurements to determine the depth-specific uncertainty of the inferred water content profile through multiple simulations using a stochastic approach.

Original languageEnglish (US)
Pages (from-to)1-16
Number of pages16
JournalJournal of Hydrology
Volume309
Issue number1-4
DOIs
StatePublished - Jul 19 2005

Fingerprint

ground-penetrating radar
annealing
simulated annealing
ground penetrating radar
travel
travel time
borehole
water content
arrival time
uncertainty
ray tracing
refraction
least squares
simulation

Keywords

  • Borehole ground penetrating radar
  • Monte Carlo
  • Optimization
  • Simulated annealing
  • Uncertainty
  • Water content

ASJC Scopus subject areas

  • Soil Science
  • Earth-Surface Processes

Cite this

Automated water content reconstruction of zero-offset borehole ground penetrating radar data using simulated annealing. / Rucker, Dale F.; Ferre, Paul A.

In: Journal of Hydrology, Vol. 309, No. 1-4, 19.07.2005, p. 1-16.

Research output: Contribution to journalArticle

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