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Satellite-derived Bathymetry Prediction in Shallow Waters Using the Gravity-Geologic Method: A Case Study in the West Sea of Korea

  • Surveying and Geo-Spatial Information Engineering
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Abstract

The Satellite Altimetry-Derived Free-air Gravity Anomalies (SAFAGAs) are correlated with undulations of crustal density variations under the seafloor. In this study, shipborne bathymetry from the Korea Rural Community Corporation (KRC) and the SAFAGAs from Scripps Institution of Oceanography were combined to predict the bathymetry in shallow waters near shore around Saemangeum Seawall located on the southwest coast of the Korean Peninsula. The density contrast of 5.0 g/cm3 estimated by the checkpoints of the Gravity-Geologic Method (GGM) between the seawater and the seafloor topographic mass was applied to predict the bathymetry in shallow waters. The root mean square error of the bathymetry differences between GGM and KRC on the KRC shipborne tracks in shallow waters around Saemangeum Seawall is 0.6 m. The advantages of GGM in the short-wavelength components from the results of the power spectral density and coherency analysis in shallow waters proved that the satellite-derived bathymetry by GGM is highly correlated with shipborne bathymetry. The topographic effects in the off-tracks extracted from the SAFAGAs in GGM can be effectively utilized to improve the bathymetry by combining them with the shipborne depth data in shallow waters, where the shipborne depth data are limited.

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References

  • Adams, J. M. and Hinze, W. J. (1990). “The gravity-geologic technique of mapping buried bedrock topography.” Geotechnical and Environmental Geophysics, S. H. Ward, Ed., Vol. III, Society of Exploration Geophysicists, Tulsa, Oklahoma, pp. 99–106, DOI: 10.1190/1.9781560802785.3.ch7.

    Google Scholar 

  • Bendat, J. S. and Piersol, A. G. (1986). Random Data: Analysis and Measurement Procedure, Wiley, New York.

    MATH  Google Scholar 

  • Braun, A., Marquart, G., Sideris, M. G., and Shum, C. K. (2006). “How radar altimetry discovered marine geodynamics.” The 15 Years of Progress in Radar Altimetry Symposium, Venice, Italy, 13-18 March.

    Google Scholar 

  • Flower, C. M. R. (2005). The Solid Earth, Cambridge University Press.

    Google Scholar 

  • Hsiao, Y.-S., Kim, J. W., Kim, K. B., Lee, B. Y., and Hwang, C. (2011). “Bathymetry estimation by gravity-geologic method: Investigation of density contrast predicted by downward continuation.” Terrestrial Atmospheric and Oceanic Sciences, vol. 22, no. 3, pp. 347–358, DOI: 10.3319/TAO.2010.10.13.01(Oc).

    Article  Google Scholar 

  • Ibrahim, A. and Hinze, W. J. (1972). “Mapping buried bedrock topography with gravity.” Ground Water, vol. 10, no. 3, pp. 18–23.

    Article  Google Scholar 

  • Jin, Y. K. (1995). Crustal structure of the South Shetland trench and the Shackleton fracture zone off the northern Antarctic Peninsula, PhD Thesis, Seoul National University, Seoul, Korea.

    Google Scholar 

  • Kim, J. W., von Frese, R. R. B., Lee, B. Y., Roman, D. R., and Doh, S. J. (2011). “Altimetry-derived gravity predictions of bathymetry by gravity-geologic method.” Pure Applied Geophysics, vol. 168, no. 5, pp. 815–826, DOI: 10.1007/s00024-010-0170-5.

    Article  Google Scholar 

  • Kim, K. B. and Lee, C. K. (2015). “Bathymetry change investigation of the 2011 Tohoku earthquake.” Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, vol. 33, no. 3, pp. 181–192, DOI: 10.7848/ksgpc.2015.33.3.181.

    Article  MathSciNet  Google Scholar 

  • Kim, K. B., Hsiao, Y.-S., Kim, J. W., Lee, B. Y., Kwon, Y. K., and Kim, C. H. (2010). “Bathymetry enhancement by altimetry-derived gravity anomalies in the East Sea (Sea of Japan).” Marine Geophysical Researches, vol. 31, no. 4, pp. 285–298, DOI: 10.1007/s11001-010-9110-0.

    Article  Google Scholar 

  • Marks, K. M. and Smith, W. H. F. (2008). “An uncertainty model for deep ocean single beam and multibeam echo sounder data.” Marine Geophysical Researches, vol. 29, no. 4, pp. 239–250, DOI: 10.1007/s11001-008-9060-y.

    Article  Google Scholar 

  • Marks, K. M. and Smith, W. H. F. (2012). “Radially symmetric coherence between satellite gravity and multibeam bathymetry grids.” Marine Geophysical Researches, vol. 33, no. 3, pp. 223–227, DOI: 10.1007/s11001-012-9157-1.

    Article  Google Scholar 

  • Marks, K. M., Smith, W. H. F., and Sandwell, D. T. (2013). “Significant improvements in marine gravity from ongoing satellite missions.” Marine Geophysical Researches, vol. 34, no. 2, pp. 137–146, DOI: 10.1007/s11001-013-9190-8.

    Article  Google Scholar 

  • Nagarajan, R. (1994). Gravity-geologic investigation of buried bedrock topography in northwestern Ohio, MSc Thesis, Ohio State University, Columbus, Ohio, USA.

    Google Scholar 

  • Parker, R. L. (1972). “The rapid calculation of potential anomalies.” Geophysical Journal of the Royal Astronomical Society, vol. 31, pp. 447–455.

    Article  Google Scholar 

  • Pattanaik, A., Sahu, K., and Bhutiyani, M. R. (2015). “Estimation of shallow water bathymetry using IRS-multispectral imagery of Odisha coast, India.” Aquatic Procedia, vol. 4, pp. 173–181, DOI: 10.1016/j.aqpro.2015.02.024.

    Article  Google Scholar 

  • Roman, D. R. (1999). An integrated geophysical investigation of Greenland’s tectonic history, PhD Thesis, Ohio State University, Columbus, Ohio, USA.

    Google Scholar 

  • Sandwell, D. T. and Smith, W. H. F. (2009). “Global marine gravity from retracked Geosat and ERS-1 altimetry: Ridge segmentation versus spreading rate.” Journal of Geophysical Research, Vol. 114, B01411, DOI: 10.1029/2008JB006008.

  • Smith, W. H. F. and Sandwell, D. T. (1994). “Bathymetric prediction from dense satellite altimetry and sparse shipboard bathymetry.” Journal of Geophysical Research, Vol. 99, B11, pp. 21803–21824, DOI: 10.1029/94JB00988.

    Article  Google Scholar 

  • Vinayaraj, P., Raghavan, V., and Masumoto, S. (2016). “Satellite-derived bathymetry using adaptive geographically weighted regression model.” Marine Geodesy, vol. 39, no. 6, pp. 458–478, DOI: 10.1080/01490419.2016.1245227.

    Article  Google Scholar 

  • Wessel, P., Smith, W. H. F., Scharroo, R., Luis, J., and Wobbe, F. (2013). “Generic mapping tools: Improved version released.” EOS Transactions American Geophysical Union, vol. 94, no. 45, pp. 409–410, DOI: 10.1002/2013EO450001.

    Article  Google Scholar 

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Kim, K.B., Yun, H.S. Satellite-derived Bathymetry Prediction in Shallow Waters Using the Gravity-Geologic Method: A Case Study in the West Sea of Korea. KSCE J Civ Eng 22, 2560–2568 (2018). https://doi.org/10.1007/s12205-017-0487-z

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  • DOI: https://doi.org/10.1007/s12205-017-0487-z

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