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

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Miscellanea Geographica
Thematic Issue: “Innovation in geospatial and 3D data” focuses on the newest achievements in the field of Geodata, which are used in Geosciences and for various applications such as urban planning, territorial management, damage assessment, environmental monitoring, 3D city modelling, renewable energy assessment, land registry, heritage documentation.

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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
eISSN:
2084-6118
Idioma:
Inglés
Calendario de la edición:
4 veces al año
Temas de la revista:
Geosciences, Geography, other