GPR investigation of the near-surface geology in a geothermal river valley using contemporary data decomposition techniques with forward simulation modeling

Chih Sung Chen, Yih Jeng

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Although geophysical studies on the geothermal field are in favor of deep structures, the shallow investigations are needed for understanding the local hydrological regime and assessing environmental compliance when setting up a geothermal power plant. We demonstrate the possibility of investigating the shallow structure of a complex site of the geothermal valley located at Chingshui, northeast Taiwan by using the ground penetrating radar (GPR) with advanced data processing techniques. Taking the challenging topography into account, the low frequency (50 MHz) unshielded bistatic GPR antennas were transported above the ground to prevent from submerging in water and avoid the surface obstacles. Two newly developed data processing techniques, the multidimensional ensemble empirical mode decomposition (MDEEMD) and multivariate empirical mode decomposition (MEMD), with the Hilbert-Huang spectrogram analysis were applied to the data. For each survey line, an initial subsurface layer model was generated by referring to the processed field data, and the finalized subsurface layer model accompanying the synthetic GPR profile were obtained with the aid of the finite difference time domain (FDTD) numerical simulation modeling. The results of this study suggest that the undulation reflections shown in each survey line are folding structures extending from the cliff edge, and that no evidence of fault traces near the surface is found. Apart from the geological findings, we believe that the field technique in conjunction with the proposed data processing method can overcome the topographic difficulties of the geothermal field and may provide better subsurface image of an area with poor GPR reflection quality.

Original languageEnglish
Pages (from-to)439-454
Number of pages16
JournalGeothermics
Volume64
DOIs
Publication statusPublished - 2016 Nov 1

Fingerprint

Geology
ground penetrating radar
Geothermal fields
Radar
Rivers
geology
decomposition
Decomposition
valley
Radar reflection
Computer simulation
river
Geothermal power plants
Radar antennas
modeling
simulation
Antenna grounds
Topography
geothermal power
hydrological regime

Keywords

  • GPR
  • Multidimensional EMD
  • Multivariate EMD
  • Near-surface imaging
  • Spectrogram

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Geotechnical Engineering and Engineering Geology
  • Geology

Cite this

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title = "GPR investigation of the near-surface geology in a geothermal river valley using contemporary data decomposition techniques with forward simulation modeling",
abstract = "Although geophysical studies on the geothermal field are in favor of deep structures, the shallow investigations are needed for understanding the local hydrological regime and assessing environmental compliance when setting up a geothermal power plant. We demonstrate the possibility of investigating the shallow structure of a complex site of the geothermal valley located at Chingshui, northeast Taiwan by using the ground penetrating radar (GPR) with advanced data processing techniques. Taking the challenging topography into account, the low frequency (50 MHz) unshielded bistatic GPR antennas were transported above the ground to prevent from submerging in water and avoid the surface obstacles. Two newly developed data processing techniques, the multidimensional ensemble empirical mode decomposition (MDEEMD) and multivariate empirical mode decomposition (MEMD), with the Hilbert-Huang spectrogram analysis were applied to the data. For each survey line, an initial subsurface layer model was generated by referring to the processed field data, and the finalized subsurface layer model accompanying the synthetic GPR profile were obtained with the aid of the finite difference time domain (FDTD) numerical simulation modeling. The results of this study suggest that the undulation reflections shown in each survey line are folding structures extending from the cliff edge, and that no evidence of fault traces near the surface is found. Apart from the geological findings, we believe that the field technique in conjunction with the proposed data processing method can overcome the topographic difficulties of the geothermal field and may provide better subsurface image of an area with poor GPR reflection quality.",
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AB - Although geophysical studies on the geothermal field are in favor of deep structures, the shallow investigations are needed for understanding the local hydrological regime and assessing environmental compliance when setting up a geothermal power plant. We demonstrate the possibility of investigating the shallow structure of a complex site of the geothermal valley located at Chingshui, northeast Taiwan by using the ground penetrating radar (GPR) with advanced data processing techniques. Taking the challenging topography into account, the low frequency (50 MHz) unshielded bistatic GPR antennas were transported above the ground to prevent from submerging in water and avoid the surface obstacles. Two newly developed data processing techniques, the multidimensional ensemble empirical mode decomposition (MDEEMD) and multivariate empirical mode decomposition (MEMD), with the Hilbert-Huang spectrogram analysis were applied to the data. For each survey line, an initial subsurface layer model was generated by referring to the processed field data, and the finalized subsurface layer model accompanying the synthetic GPR profile were obtained with the aid of the finite difference time domain (FDTD) numerical simulation modeling. The results of this study suggest that the undulation reflections shown in each survey line are folding structures extending from the cliff edge, and that no evidence of fault traces near the surface is found. Apart from the geological findings, we believe that the field technique in conjunction with the proposed data processing method can overcome the topographic difficulties of the geothermal field and may provide better subsurface image of an area with poor GPR reflection quality.

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