Fusion of hydrologic and geophysical tomographic surveys

Tian Chyi Jim Yeh, Cheng Haw Lee, Kuo Chin Hsu, Jet Chau Wen

Research output: Contribution to journalArticlepeer-review

17 Scopus citations


In this paper, we argue the need for high-resolution characterization of the subsurface and discuss difficulties of traditional characterization approaches to meet this need. Necessary and sufficient conditions are then presented for well-posedness of groundwater inverse problems associated with identifying spatially distributed parameters. Non-uniqueness and large uncertainty in model calibration are subsequently attributed to difficulties in collecting information to meet these conditions. Using an example, we show that a tomographic survey can make problems of identification of spatially distributed parameters better posed. We subsequently present some recent advances in hydrologic/geophysical characterization of the subsurface using information fusion based on tomographic survey concepts. This paper includes hydraulic and electrical resistivity tomographic surveys as well as fusion of hydraulic and resistivity tomography and fusion of hydraulic and tracer tomography.

Original languageEnglish (US)
Pages (from-to)159-167
Number of pages9
JournalGeosciences Journal
Issue number2
StatePublished - Jun 30 2008


  • Data fusion
  • Hydraulic/geophysical tomographic surveys
  • Inverse modeling
  • Well-posedness

ASJC Scopus subject areas

  • General Environmental Science
  • General Earth and Planetary Sciences


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