Fig. 1. Equi-potential lines during pumping test at test site. (a) 10 min, (b) 60 min, (c) 120 min (pumping stop), and (d) 150 min (Song and Yong, 2003).
Fig. 2. Comparing result between observed data and calculated data by 2-D SP forward modeling for reservoir dike with the pattern of leakage due to the composite effects of landslide and distortion of the dike (Song et al., 2002a).
Fig. 3. Apparent resistivity profiles from vertical electric sounding at three points over a year (Song et al., 2003a).
Fig. 4. Flow chart for sea dike maintenance using geophysical methods (EM: small-loop electromagnetic survey, ER: electrical resistivity survey, MASW: multichannel analysis of surface wave survey, SP: self-potential survey) (Yong et al., 2013).
Fig. 5. Contour maps of apparent conductivity drawn by semivariogram analysis. (a) 20,010 Hz; (b) 14,610 Hz; (c) 10,350 Hz; (d) 6,810 Hz; (e) 4,650 Hz; and (f) 3,150 Hz (Song, 2006).
Fig. 6. Correlation of conductivities obtained from electrical resistivity tomography method and water contents by soil analysis (Yong and Song, 2004).
Fig. 8. Evaluation of conceptual model using the results of settlement at each extensometer points (Song et al., 2004).
Fig. 9. 1D Inversion results of small-loop EM data with varying depths to the brackish water reservoir bottom, (a) 1 m and (b) 2 m, respectively (Song et al., 2011c).
Fig. 7. (a) 3D resistivity structures and (b) a schematic diagram of leachate flow superimposed on the iso-surface map of 30 ohm-m, respectively. Arrows indicate the expected direction of leachate flow (Song et al., 2015).
Table 1. Potential geophysical survey methods associated with hydrogeological survey for agricultural application.
참고문헌
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