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Using GMT for 2D and 3D Modeling of the Ryukyu Trench Topography, Pacific Ocean Cover

Using GMT for 2D and 3D Modeling of the Ryukyu Trench Topography, Pacific Ocean

Miscellanea Geographica
Volume 25 (2021): Issue 4 (October 2021)
By: Polina Lemenkova  
Open Access
|Sep 2021

Figures & Tables

Figure 1

Bathymetric map of the East China Sea, northern Philippine Sea, Ryukyu Arc and Ryukyu Trench. Bathymetry: GEBCO global terrain model, mapped using GMTSource: author
Bathymetric map of the East China Sea, northern Philippine Sea, Ryukyu Arc and Ryukyu Trench. Bathymetry: GEBCO global terrain model, mapped using GMTSource: author

Figure 2

Geologic map of the Ryukyu Trench. Bathymetric base map: ETOPO1 global terrain model, mapped using GMTSource: author
Geologic map of the Ryukyu Trench. Bathymetric base map: ETOPO1 global terrain model, mapped using GMTSource: author

Figure 3

Model of the geoid in the Ryukyu Trench area. Raster data: Earth Gravitational Model EGM96, mapped by GMTSource: author
Model of the geoid in the Ryukyu Trench area. Raster data: Earth Gravitational Model EGM96, mapped by GMTSource: author

Figure 4

Model of the marine free-air gravity anomaly showing gravitational settings in the Ryukyu trench-arc area. Data: gravity grid, visualized by GMTSource: author
Model of the marine free-air gravity anomaly showing gravitational settings in the Ryukyu trench-arc area. Data: gravity grid, visualized by GMTSource: author

Figure 5

Composite overlay of the 3D topographic mesh model on the 2D geoid contour plot for topographic modelling of the Ryukyu trench-arc areaSource: author
Composite overlay of the 3D topographic mesh model on the 2D geoid contour plot for topographic modelling of the Ryukyu trench-arc areaSource: author

Figure 6

Modelled stacked profiles for the southern (A) and northern (B) segments with the red solid line as a median, and error bars showing weighted standard deviation of the elevations; automatically digitized cross-section profiles in two segments (C), plotted in GMTSource: author
Modelled stacked profiles for the southern (A) and northern (B) segments with the red solid line as a median, and error bars showing weighted standard deviation of the elevations; automatically digitized cross-section profiles in two segments (C), plotted in GMTSource: author

Figure 7

Modelling graphs of the trend curves of general geomorphological transects and slope gradients using various mathematic approximations: fitted regression models y=f(x)+e; Weighted Least Squares, polynomial and Fourier. Plotted by GMTSource: author
Modelling graphs of the trend curves of general geomorphological transects and slope gradients using various mathematic approximations: fitted regression models y=f(x)+e; Weighted Least Squares, polynomial and Fourier. Plotted by GMTSource: author

Figure 8

Statistical histograms showing depth frequency in the cross-sections of the Ryukyu Trench, based on the bathymetric data: northern (A) and southern (B) partsSource: author
Statistical histograms showing depth frequency in the cross-sections of the Ryukyu Trench, based on the bathymetric data: northern (A) and southern (B) partsSource: author
DOI: https://doi.org/10.2478/mgrsd-2020-0038 | Journal eISSN: 2084-6118 | Journal ISSN: 0867-6046
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Language: English
Page range: 213 - 225
Submitted on: Dec 11, 2019
Accepted on: Jun 28, 2020
Published on: Sep 26, 2021
Published by: Faculty of Geography and Regional Studies, University of Warsaw
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Cartography,
GMT,
GEBCO,
ETOPO1,
Ryukyu Trench,
topography
Related subjects:
Geosciences,
Geography,
Geosciences, other

© 2021 Polina Lemenkova, published by Faculty of Geography and Regional Studies, University of Warsaw
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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