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

Lemenkova, Polina

doi:10.2478/mgrsd-2020-0038

Abstract

This research focuses on the 2D and 3D geospatial analysis of the Ryukyu Trench, a deep-sea trench located in the western Pacific Ocean between Japan and Taiwan. The aim of the research is to visualize regional differences in the topography of the southern (S) and northern (N) parts of the trench. Technically, the methodology is based on using the Generic Mapping Tools (GMT) scripting toolset, for modelling the General Bathymetric Chart of the Oceans (GEBCO), and Earth Topography and Bathymetry dataset (ETOPO1) raster grids. The results demonstrated topographic differences in the two segments. The most frequent depths lie between −5,000 and −6,000 m. The N part has steeper gradient slopes and deeper bathymetry. Of the depth differences >−6,000 m, S has nine values with depths >−6,800 m while N shows 123 records (max −7,460 m). The submarine terraces of S have gentler slopes compared with the N segment. The technical approach presents GMT-based 2D and 3D cartographic modelling aimed at visualizing regional variations of the seafloor topography.

References

Amante, C & Eakins, BW 2009, ‘ETOPO1 1 arc-minute Global Relief Model: Procedures, Data Sources and Analysis’, NOAA Technical Memorandum NESDIS NGDC-24.
Search in Google Scholar Back to article
Ando, M, Tu, Y, Kumagai, H, Yamanaka, Y & Lin, CH 2012, ‘Very low frequency earthquakes along the Ryukyu subduction zone’, Geophysical Research Letters, vol. 39.
Search in Google Scholar Back to article
Ando, M, Kitamura, A, Tu, Y, Ohashi, Y, Imai, T, Nakamura, M, Ikuta, R, Miyairi, Y, Yokoyama, Y & Shishikura, M 2018, ‘Source of high tsunamis along the southernmost Ryukyu trench inferred from tsunami stratigraphy’, Tectonophysics, vol. 722, pp. 265–276.
Search in Google Scholar Back to article
Arai, K, Matsuda, H, Sasaki, K, Machiyama, H, Yamaguchi, T, Inoue, T, Sato, T, Takayanagi, H & Iryu, Y 2016, ‘A newly discovered submerged reef on the Miyako-Sone platform, Ryukyu Island Arc, Northwestern Pacific’, Marine Geology, vol. 373, pp. 49–54.
Search in Google Scholar Back to article
Becker, NC 2005, ‘Painting by numbers: A GMT primer for merging swath-mapping sonar data of different types and resolutions’, Computers & Geosciences, vol. 31(8), pp. 1075–1077.
Search in Google Scholar Back to article
Charpy, C, Schmitt, T, Biscara, L, Maspataud, A, Avisse, L & Créach, R 2015, ‘Précision et Performance des Méthodes d’Interpolation pour la Réalisation de Modèles Numériques de Terrain Bathymétriques’ [‘Precision and functionality of the interpolation methods for the realization of Digital Bathymetric Terrain Models’] in Colloque merIGéo, 24–26 novembre 2015, Brest, France.
Search in Google Scholar Back to article
DeVasto, MA, Czeck, DM & Bhattacharyy, P 2012, ‘Using image analysis and ArcGIS® to improve automatic grain boundary detection and quantify geological images’, Computers & Geosciences, vol. 49, pp. 38–45.
Search in Google Scholar Back to article
Doo, WB, Lo, CL, Wu, WN, Lin, JY, Hsu, SK, Huang, YS & Wang, HF 2018, ‘Strength of plate coupling in the southern Ryukyu subduction zone’, Tectonophysics, vol. 723, pp. 223–228.
Search in Google Scholar Back to article
Faccenna, C, Holt, AF, Becker, TW, Lallemand, S & Royden, LH 2018, ‘Dynamics of the Ryukyu/Izu-Bonin-Marianas double subduction system’, Tectonophysics, vol. 746, pp. 229–238.
Search in Google Scholar Back to article
Gauger, S, Kuhn, G, Gohl, K, Feigl, T, Lemenkova, P & Hillenbrand, C 2007 ‘Swath-bathymetric mapping’. Reports on Polar and Marine Research, vol. 557, pp. 38–45.
Search in Google Scholar Back to article
Gaynanov, AG 1980, Gravimetric studies of the Earth's crust of the oceans, MSU, Moscow.
Search in Google Scholar Back to article
GEBCO Committee 2016, General Bathymetric Chart of the Oceans (GEBCO) - from the coast to the deepest trench. Available from: <https://www.gebco.net/>. [21 April 2020].
Search in Google Scholar Back to article
GEBCO 2010, GEBCO_08 grid, version 20100927, British Oceanographic Data Centre (BODC), Liverpool, UK.
Search in Google Scholar Back to article
Gutscher, MA, Klingelhoefer, F, Theunissen, T, Spakman, W, Berthet, T, Wang, TK & Lee, CS 2016, ‘Thermal modeling of the SW Ryukyu forearc (Taiwan): Implications for the seismogenic zone and the age of the subducting Philippine Sea Plate (Huatung Basin)’, Tectonophysics, vol. 692, pp. 131–142.
Search in Google Scholar Back to article
Hall, JK 2006, ‘GEBCO Centennial Special Issue—Charting the secret world of the ocean floor: The GEBCO Project 1903–2003’, Marine Geophysical Research, vol. 27, no. 1, pp. 1–5.
Search in Google Scholar Back to article
Harris, PT, Macmillan-Lawler, M, Rupp, J & Baker, EK 2014, ‘Geomorphology of the oceans’, Marine Geology, vol. 352, pp. 4–24.
Search in Google Scholar Back to article
Heezen, BC 1960, ‘The rift in the ocean floor’, Scientific American, vol. 203, no. 4, pp. 98–110.
Search in Google Scholar Back to article
IHO-IOC 2012, GEBCO Gazetteer of Undersea Feature Names. Available from: <www.gebco.net>. [21 April 2020].
Search in Google Scholar Back to article
IOC, IHO & BODC 2003, ‘Centenary Edition of the GEBCO Digital Atlas, Published on CD-ROM on Behalf of the Intergovernmental Oceanographic Commission and the International Hydrographic Organization as Part of the General Bathymetric Chart of the Oceans’, British Oceanographic Data Centre, Liverpool, UK.
Search in Google Scholar Back to article
Itoh, M, Kawamura, K, Kitahashi, T, Kojima, S, Katagiri, H & Shimanaga, M 2011, ‘Bathymetric patterns of meiofaunal abundance and biomass associated with the Kuril and Ryukyu trenches, western North Pacific Ocean’, Deep-Sea Research Part I, vol. 58, pp. 86–97.
Search in Google Scholar Back to article
Jones, MT 1994, The GEBCO Digital Atlas, pp. 17–20, NERC News, Swindon, UK.
Search in Google Scholar Back to article
Kitahashi, T, Kawamura, K, Kojima, S & Shimanaga, M 2014, ‘Bathymetric patterns of a and b diversity of harpacticoid copepods at the genus level around the Ryukyu Trench, and turnover diversity between trenches around Japan’, Progress in Oceanography, vol. 123, pp. 54–63.
Search in Google Scholar Back to article
Klaučo, M, Gregorová, B, Stankov, U, Marković, V & Lemenkova, P 2013, ‘Determination of ecological significance based on geostatistical assessment: a case study from the Slovak Natura 2000 protected area’, Central European Journal of Geosciences, vol. 5(1), pp. 28–42.
Search in Google Scholar Back to article
Kodaira, S, Iwasaki, T, Urabe, T, Kanazawa, T, Egloff, F, Makris, J & Shimamura, H 1996, ‘Crustal structure across the middle Ryukyu trench obtained from ocean bottom seismographic data’, Tectonophysics, vol. 263, pp. 39–60.
Search in Google Scholar Back to article
Kuhn, G, Hass, C, Kober, M, Petitat, M, Feigl, T, Hillenbrand, CD, Kruger, S, Forwick, M, Gauger, S & Lemenkova, P 2006, ‘The response of quaternary climatic cycles in the South-East Pacific: development of the opal belt and dynamics behavior of the West Antarctic ice sheet’, Expeditions programm Nr. 75 ANT XXIII/4, AWI Germany.
Search in Google Scholar Back to article
Kuo, BY, Wang, CC, Lin, SC, Lin, CR, Chen, PC, Jang, JP & Chang, HK 2012, ‘Shear-wave splitting at the edge of the Ryukyu subduction zone’. Earth and Planetary Science Letters, vol. 355–356, pp. 262–270.
Search in Google Scholar Back to article
Lemenkova, P 2018, ‘R scripting libraries for comparative analysis of the correlation methods to identify factors affecting Mariana Trench formation’. Journal of Marine Technology and Environment, vol. 2, pp. 35–42.
Search in Google Scholar Back to article
Lemenkova, P 2019a, ‘AWK and GNU octave programming languages integrated with generic mapping tools for geomorphological analysis’, GeoScience Engineering, vol. 65 (4), pp. 1–22.
Search in Google Scholar Back to article
Lemenkova, P 2019b, ‘Geomorphological modelling and mapping of the Peru-Chile Trench by GMT’, Polish Cartographical Review, vol. 51(4), pp. 181–194.
Search in Google Scholar Back to article
Lemenkova, P 2019c, ‘Automatic data processing for Visualising Yap and Palau Trenches by Generic Mapping Tools’, Cartographic Letters, vol. 27(2), pp. 72–89.
Search in Google Scholar Back to article
Lemenkova, P 2019d, ‘An empirical study of R applications for data analysis in Marine Geology’. Marine Science and Technology Bulletin, vol. 8, no. 1, pp. 1–9.
Search in Google Scholar Back to article
Lemenkova, P 2019e, ‘Testing linear regressions by StatsModel library of Python for oceanological data interpretation’, Aquatic Sciences and Engineering, vol. 34, pp. 51–60.
Search in Google Scholar Back to article
Lemenkova, P 2019f, ‘Deep-Sea trenches of the Pacific Ocean: a comparative analysis of the submarine geomorphology by data modeling using GMT, QGIS, Python and R. Mid-Term PhD Thesis Presentation: Current Research Progress’, Presentation at OUC, College of Marine Geo-sciences, Qingdao, China.
Search in Google Scholar Back to article
Lemenkova, P 2019g, ‘Statistical analysis of the Mariana Trench geomorphology using R programming language’, Geodesy and Cartography, vol. 45, no. 2, pp. 57–84.
Search in Google Scholar Back to article
Lemenkova, P 2019h, ‘Numerical data modelling and classification in Marine geology by the SPSS statistics’. International Journal of Engineering Technologies, vol. 5, no. 2, pp. 90–99.
Search in Google Scholar Back to article
Lemenkova, P 2019i ‘Topographic surface modelling using raster grid datasets by GMT: example of the Kuril-Kamchatka Trench, Pacific Ocean’, Reports on Geodesy and Geoinformatics, vol. 108, pp. 9–22.
Search in Google Scholar Back to article
Lemenkova, P 2019j. ‘GMT based comparative analysis and geomorphological mapping of the Kermadec and Tonga Trenches, Southwest Pacific Ocean’. Geographia Technica, vol. 14, no. 2, pp. 39–48.
Search in Google Scholar Back to article
Lemenkova, P 2019k, ‘Processing oceanographic data by Python libraries NumPy, SciPy and Pandas’, Aquatic Research, vol. 2, pp. 73–91.
Search in Google Scholar Back to article
Litvin, VM 1987, Morphostructure of the ocean floor, Nedra, Leningrad.
Search in Google Scholar Back to article
Mayer, LA 2006, ‘Frontiers in seafloor mapping and visualization’, Marine Geophysical Research, vol. 27, pp. 7–17.
Search in Google Scholar Back to article
Meyer, D, Riechert, M 2019, ‘Open source QGIS toolkit for the Advanced Research WRF modelling system’, Environmental Modelling & Software, vol. 112, pp. 166–178.
Search in Google Scholar Back to article
Milashin, AP 1971 ‘On the differences in the structure of the earth's crust of the seas and oceans’ in Marine Geology and Geophysics, ed. AP Milashin, Nedra, Moscow, pp. 3–16.
Search in Google Scholar Back to article
Minami, H & Ohara, Y 2018, ‘Detailed volcanic morphology of Daisan-Miyako Knoll in the southern T Ryukyu Arc’, Marine Geology, vol. 404, pp. 97–110.
Search in Google Scholar Back to article
Molina-Navarro, E, Nielsen, A, Trolle, D 2018, ‘A QGIS plugin to tailor SWAT watershed delineations to lake and reservoir waterbodies’, Environmental Modelling & Software, vol. 108, pp. 67–71.
Search in Google Scholar Back to article
Nielsen, A, Bolding, K, Hu, F, Trolle, D 2017, ‘An open source QGIS-based workflow for model application and experimentation with aquatic ecosystems’, Environmental Modelling & Software, vol. 95, pp. 358–364.
Search in Google Scholar Back to article
Nishimura, T 2014, ‘Short-term slow slip events along the Ryukyu Trench, southwestern Japan, observed by continuous GNSS’, Progress in Earth and Planetary Sciences, vol. 1, no. 22.
Search in Google Scholar Back to article
Okamura, Y, Nishizawa, A, Oikawa, M & Horiuchi, D 2017, ‘Differential subsidence of the forearc wedge of the Ryukyu (Nansei-Shoto) Arc caused by subduction of ridges on the Philippine Sea Plate’, Tectonophysics, vol. 717, pp. 399–412.
Search in Google Scholar Back to article
Olson, CJ, Becker, JJ & Sandwell, DT 2014, ‘A new global bathymetry map at 15 arcsecond resolution for resolving seafloor fabric: SRTM15_PLUS’, in Proceedings of the AGU Fall Meeting Abstracts 2014, pp. 1–3, San Francisco, CA.
Search in Google Scholar Back to article
Pushkov, AN 1981, Anomalies of the geomagnetic field and the deep structure of the Earth's crust, Naukova Dumka, Kiev.
Search in Google Scholar Back to article
Sandwell, DT, Müller, RD, Smith, WHF, Garcia, E & Francis, R 2014, ‘New global marine gravity model from CryoSat-2 and Jason-1 reveals buried tectonic structure’, Science, vol. 346, issue 6205, pp. 65–67.
Search in Google Scholar Back to article
Schenke, HW & Lemenkova, P 2008, ‘Zur Frage der Meeresboden-Kartographie: Die Nutzung von AutoTrace Digitizer für die Vektorisierung der Bathymetrischen Daten in der Petschora-See’ [‘To the question of seafloor mapping: the use of AutoTrace digitizer for the vectorization of bathymetric data in the Pechora Sea’], Hydrographische Nachrichten, vol. 81, pp. 16–21.
Search in Google Scholar Back to article
Schmitt, T & Weatherall, P 2014, ‘GEBCO and EMODNet—Bathymetry hand in hand: Improving global and regional bathymetric models of European waters’, Abstract OS31B-0989 presented at 2014 Fall Meeting, AGU, San Francisco, California, US, 15–19 December.
Search in Google Scholar Back to article
Schmitt, T & Weatherall, P 2013, ‘GEBCO and EMODnet Bathymetry hands in hands’ in AGU Fall Meeting, San Francisco, US.
Search in Google Scholar Back to article
Schmitt, T, Penard, C & Waddle, J 2015, ‘Uncertainty and bathymetric DEM—Developing an open source QGIS solution’ in Conference GEBCO Science day, Kuala Lumpur, Malaysia.
Search in Google Scholar Back to article
Shu, Y, Nielsen, SG, Zeng, Z, Shinjo, R, Blusztajn, J, Wang, X & Chen, S 2017, ‘Tracing subducted sediment inputs to the Ryukyu arc-Okinawa Trough system: Evidence from thallium isotopes’, Geochimica et Cosmochimica Acta, vol. 217, pp. 462–491.
Search in Google Scholar Back to article
Smith, WHF & Sandwell, DT 1995, ‘Marine gravity field from declassified Geosat and ERS-1 altimetry’, EOS Transactions American Geophysical Union, vol. 76, Fall Mtng Suppl, F156.
Search in Google Scholar Back to article
Smith, WHF & Sandwell, DT 1997, ‘Global sea floor topography from satellite altimetry and ship depth soundings’, Science, vol. 277, issue 5334, pp. 1956–1962.
Search in Google Scholar Back to article
Suetova, IA, Ushakova, LA, & Lemenkova, P 2005, ‘Geoinformation mapping of the Barents and Pechora Seas’, Geography and Natural Resources, vol. 4, pp. 138–142.
Search in Google Scholar Back to article
Ujiie, Y 2000, ‘Mud diapirs observed in two piston cores from the landward slope of the northern Ryukyu Trench, northwestern Pacific Ocean’, Marine Geology, vol. 163, pp. 149–167.
Search in Google Scholar Back to article
Weatherall, P, Marks, KM, Jakobsson, M, Schmitt, T, Tani, S, Arndt, JE, Rovere, M, Chayes, D, Ferrini, V & Wigley, R 2015, ‘A new digital bathymetric model of the world's oceans’, Earth and Space Science, vol. 2, issue 8, pp. 331–345.
Search in Google Scholar Back to article
Wessel, P & Smith, WHF 1996, ‘A global self-consistent, hierarchical, high-resolution shoreline database’, Journal of Geophysical Research, vol. 101, pp. 8741–8743.
Search in Google Scholar Back to article
Wessel, P & Smith, WHF 2006, ‘New, improved version of the generic mapping tools released’. EOS Transactions American Geophysical Union, vol. 79, issue 47.
Search in Google Scholar Back to article
Wessel, P & Smith, WHF 2018, The Generic Mapping Tools. Version 4.5.18 Technical Reference and Cookbook [Computer software manual], US.
Search in Google Scholar Back to article

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

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