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XU Chuang, LI Jinbo, WU Yunlong. Improved Gravity-Geologic Method and Its Application to Seafloor Topography Inversion in the South China Sea[J]. Geomatics and Information Science of Wuhan University. doi: 10.13203/j.whugis20220199
Citation: XU Chuang, LI Jinbo, WU Yunlong. Improved Gravity-Geologic Method and Its Application to Seafloor Topography Inversion in the South China Sea[J]. Geomatics and Information Science of Wuhan University. doi: 10.13203/j.whugis20220199

Improved Gravity-Geologic Method and Its Application to Seafloor Topography Inversion in the South China Sea

doi: 10.13203/j.whugis20220199
Funds:

the Natural Science Foundation of Guangdong Province (2022A1515010396).

The National Natural Science Foundation of China (41974014,41974096,41931074)

the Fund Program of the State Key Laboratory of Geodesy and Earth's Dynamics,Innovation Academy for Precision Measurement Science and Technology (SKLGED2021-1-2)

  • Received Date: 2022-04-22
    Available Online: 2022-05-07
  • Objectives: The accuracy of the traditional gravity-geologic method (GGM) for inversion of seafloor topography should be improved. Methods: This paper proposes an improved GGM (GGM2) considering the nonlinear term. Results: The 1 arc minute seafloor topography of the South China Sea is inverted by GGM2, and its accuracy is evaluated through check points to verify the effectiveness. Conclusions: The results show that neglecting nonlinear term of seafloor topography results in a deviation of approximately 50 mGal in mountainous areas with undulation of approximately 2 km. The nonlinear term of seafloor topography could be recovered by the improved GGM from short-wavelength gravity anomaly. Compared with the traditional GGM (GGM1), ETPO1 and SIO V23.1, GGM2 has the best accuracy. The root mean square (RMS) of deviations between GGM2 and check points is 130.4 m. Compared with GGM1, the improvement of the proposed method near the Huangyan seamount chain is 10.8 m, and it is 4.7 m near the Zhongsha Islands.
  • [1] Smith W. Introduction to this Special Issue on Bathymetry from Space[J]. Oceanography, 2004, 17(1): 6-7
    [2] Sandwell D, Garcia E, Soofi K, et al. Toward 1-mGal Accuracy in Global Marine Gravity from CryoSat-2, Envisat, and Jason-1[J]. The Leading Edge, 2013, 32(8): 892-899
    [3] Smith W H F, Sandwell D T. Global Sea Floor Topography from Satellite Altimetry and Ship Depth Soundings[J]. Science, 1997, 277(5334): 1956-1962
    [4] Ramillien G, Wright I C. Predicted Seafloor Topography of the New Zealand Region: A Nonlinear Least Squares Inversion of Satellite Altimetry Data[J]. Journal of Geophysical Research: Solid Earth, 2000, 105(B7): 16577-16590
    [5] Kim K B, Hsiao Y S, Kim J W, et al. Bathymetry Enhancement by Altimetry-Derived Gravity Anomalies in the East Sea (Sea of Japan)[J]. Marine Geophysical Researches, 2010, 31(4): 285-298
    [6] Kim J W, Frese R R B, Lee B Y, et al. Altimetry-Derived Gravity Predictions of Bathymetry by the Gravity-Geologic Method[J]. Pure and Applied Geophysics, 2011, 168(5): 815-826
    [7] Hsiao Y S, Kim J W, Kim K B, et al. Bathymetry Estimation Using the Gravity-Geologic Method: An Investigation of Density Contrast Predicted by the Downward Continuation Method[J]. Terrestrial, Atmospheric and Oceanic Sciences, 2011, 22(3): 347
    [8] Xiang X S, Wan X Y, Zhang R N, et al. Bathymetry Inversion with the Gravity-Geologic Method: A Study of Long-Wavelength Gravity Modeling Based on Adaptive Mesh[J]. Marine Geodesy, 2017, 40(5): 329-340
    [9] Sun Y J, Zheng W, Li Z W, et al. Improved the Accuracy of Seafloor Topography from Altimetry-Derived Gravity by the Topography Constraint Factor Weight Optimization Method[J]. Remote Sensing, 2021, 13(12): 2277
    [10] Xing J, Chen X X, Ma L. Bathymetry Inversion Using the Modified Gravity-Geologic Method: Application of the Rectangular Prism Model and Tikhonov Regularization[J]. Applied Geophysics, 2020, 17(3): 377-389
    [11] Yang J J, Jekeli C, Liu L T. Seafloor Topography Estimation from Gravity Gradients Using Simulated Annealing[J]. Journal of Geophysical Research: Solid Earth, 2018, 123: 6958–6975
    [12] Ibrahim A, Hinze W J. Mapping Buried Bedrock Topography with Gravity[J]. Ground Water, 1972, 10(3): 18-23
    [13] 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[J]. KSCE Journal of Civil Engineering, 2018, 22(7): 2560-2568
    [14] Annan R F, Wan X Y. Mapping Seafloor Topography of Gulf of Guinea Using an Adaptive Meshed Gravity-Geologic Method[J]. Arabian Journal of Geosciences, 2020, 13(7): 1-12
    [15] Parker R L. The Rapid Calculation of Potential Anomalies[J]. Geophysical Journal International, 1973, 31(4): 447-455
    [16] Fan D, Li S S, Li X X, et al. Seafloor Topography Estimation from Gravity Anomaly and Vertical Gravity Gradient Using Nonlinear Iterative Least Square Method[J]. Remote Sensing, 2020, 13(1): 64
    [17] Silva J B C, Santos D F, Gomes K P. Fast Gravity Inversion of Basement Relief[J]. GEOPHYSICS, 2014, 79(5): G79-G91
    [18] Tozer B, Sandwell D T, Smith W H F, et al. Global Bathymetry and Topography at 15 Arc Sec: SRTM15+[J]. Earth and Space Science, 2019, 6(10): 1847-1864
    [19] Amante C. ETOPO11 Arc-Minute Global Relief Model : Procedures, Data Sources and Analysis[R]. Washington: National Geophysical Data Center, 2009
    [20] Smith W H F, Wessel P. Gridding with Continuous Curvature Splines in Tension[J]. GEOPHYSICS, 1990, 55(3): 293-305
    [21] Wei Z J, Guo J Y, Zhu C C, et al. Evaluating Accuracy of HY-2A/GM-Derived Gravity Data with the Gravity-Geologic Method to Predict Bathymetry[J]. Frontiers in Earth Science, 2021, 9: 636246
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Improved Gravity-Geologic Method and Its Application to Seafloor Topography Inversion in the South China Sea

doi: 10.13203/j.whugis20220199
Funds:

the Natural Science Foundation of Guangdong Province (2022A1515010396).

The National Natural Science Foundation of China (41974014,41974096,41931074)

the Fund Program of the State Key Laboratory of Geodesy and Earth's Dynamics,Innovation Academy for Precision Measurement Science and Technology (SKLGED2021-1-2)

Abstract: Objectives: The accuracy of the traditional gravity-geologic method (GGM) for inversion of seafloor topography should be improved. Methods: This paper proposes an improved GGM (GGM2) considering the nonlinear term. Results: The 1 arc minute seafloor topography of the South China Sea is inverted by GGM2, and its accuracy is evaluated through check points to verify the effectiveness. Conclusions: The results show that neglecting nonlinear term of seafloor topography results in a deviation of approximately 50 mGal in mountainous areas with undulation of approximately 2 km. The nonlinear term of seafloor topography could be recovered by the improved GGM from short-wavelength gravity anomaly. Compared with the traditional GGM (GGM1), ETPO1 and SIO V23.1, GGM2 has the best accuracy. The root mean square (RMS) of deviations between GGM2 and check points is 130.4 m. Compared with GGM1, the improvement of the proposed method near the Huangyan seamount chain is 10.8 m, and it is 4.7 m near the Zhongsha Islands.

XU Chuang, LI Jinbo, WU Yunlong. Improved Gravity-Geologic Method and Its Application to Seafloor Topography Inversion in the South China Sea[J]. Geomatics and Information Science of Wuhan University. doi: 10.13203/j.whugis20220199
Citation: XU Chuang, LI Jinbo, WU Yunlong. Improved Gravity-Geologic Method and Its Application to Seafloor Topography Inversion in the South China Sea[J]. Geomatics and Information Science of Wuhan University. doi: 10.13203/j.whugis20220199
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