Research Article
BibTex RIS Cite

Cartographic Interpretation of the Seafloor Geomorphology Using GMT: a Case Study of the Manila Trench, South China

Year 2020, Volume: 4 Issue: 1, 1 - 18, 30.06.2020

Polina Lemenkova

https://doi.org/10.29002/asujse.604761

Abstract

The study is geographically focused on the Manila Trench, located in the west Pacific Ocean, South China Sea, west Philippines. The research aims at the geological mapping, analysis and visualizing variations in the submarine geomorphology of the Manila Trench. Technically, the work was done using Generic Mapping Tools scripting toolset (GMT). A combination of various GMT modules was applied for geospatial modelling. Methodology includes cartographic data integration and interpretation through approaches of data analysis: topographic plotting, geophysical modelling, geological mapping and statistical analysis. The data included SRTM, ETOPO1, geoid and gravity grids (CryoSat-2, Jason-1). Two sets of the cross-section profiles of the trench were automatically digitized. The profile transects were compared and differences in the geomorphic shape in southern and northern parts revealed. Southern part has steeper slope on the western part. Northern part is steeper on the continental slope part. The submarine terraces are located on the northern segment at depths -2,000 m. The depth and geomorphology of the slope vary for the range -3,500 to -4,500 m: minimals for the northern part with 526 samples (18.2%) for the depths -4,000 to -4,200 m. The histogram for the northern part has bimodal distribution with two peaks. The southern part shows 142 values for the minimals -3,500 to -3400 m. The statistical analyses revealed that northern part of the trench is deeper. The GMT functionality shown in this paper enabled integration and interpretation of the multi-source data: automatically digitized profiles, geological mapping, 2D and 3D bathymetric modelling, statistical analysis, mathematical approximation of the trend modelling. The GMT proved to be capable of visualizing geodata that can significantly improve Earth studies and interpretation of submarine geomorphology of the oceanic trenches through the advanced data analysis.



Keywords

Mapping Cartography GMT Manila Trench Pacific Ocean South China Sea

Supporting Institution

China Scholarship Council (CSC)

Project Number

2016SOA002

Thanks

This research was funded by the China Scholarship Council (CSC), State Oceanic Administration (SOA), Marine Scholarship of China, Grant Nr. 2016SOA002, Beijing, People’s Republic of China.

References

  • [1] C.-L. Lo, W.-B. Doo, K.-C. Hao, S.-K. Hsu, Plate coupling across the northern Manila subduction zone deduced from mantle lithosphere buoyancy. Physics of the Earth and Planetary Interiors, 273 (2017) 50-54.
  • [2] Y. Liu, A. Santos, S.M. Wang, Y. Shi, H. Liu, D.A. Yuen, Tsunami hazards along Chinese coast from potential earthquakes in South China Sea. Physics of the Earth and Planetary Interiors 163 (1-4) (2007) 233-244.
  • [3] T.-R. Wu, H.-C. Huang, Modeling tsunami hazards from Manila trench to Taiwan, Journal of Asian Earth Sciences 36 (2009) 21-28.
  • [4] A. Ruangrassamee, N. Saelem, Effect of Tsunamis generated in the Manila Trench on the Gulf of Thailand, Journal of Asian Earth Sciences 36 (2009) 56-66.
  • [5] P.H. Nguyen, Q.C. Bui, P.H. Vu, T.T. Pham, Scenario-based tsunami hazard assessment for the coast of Vietnam from the Manila Trench source, Physics of the Earth and Planetary Interiors, 236 (2014) 95-108.
  • [6] C.B. Bautista, M.L.P. Bautista, K. Oike, F.T. Wu, R.S. Punongbayan, A new insight on the geometry of subducting slabs in northern Luzon, Philippines. Tectonophysics 339 (2001) 279-310.
  • [7] S.L. Soloviev, C.N. Go, A Catalogue of Tsunamis on the Western Shore of the Pacific Ocean. Academy of Sciences of the USSR. Nauka Publishing, Moscow, (1974) 439.
  • [8] S.-J. Chin, J.-Y. Lin, Y.-C. Yeh, K.-C. Hao, C.-W. Liang, Seismotectonic characteristics of the Taiwan collision-Manila subduction T transition: The effect of pre-existing structures. Journal of Asian Earth Sciences 173 (2019) 113-120.
  • [9] B.R. Calder, L.A. Mayer, Automatic processing of high-rate, high-density multibeam echosounder data. Geochemistry Geophysics Geosystems, 4(6) (2003) 1-24.
  • [10] P. Lemenkova, Testing Linear Regressions by StatsModel Library of Python for Oceanological Data Interpretation. Aquatic Sciences and Engineering 34, (2019) 51-60.
  • [11] L. Zhang, C. He, Y. Liu, J. Lin, Frictional properties of the South China Sea oceanic basalt and implications for strength of the Manila subduction seismogenic zone. Marine Geology 394, 16-29 (2017).
  • [12] H. Yu, Y. Liu, H. Yang, J. Ning, Modeling earthquake sequences along the Manila subduction zone: Effects of three-dimensional fault geometry. Tectonophysics 733 (2018) 73-84.
  • [13] P. Lemenkova, R scripting libraries for comparative analysis of the correlation methods to identify factors affecting Mariana Trench formation. Journal of Marine Technology and Environment 2 (2018) 35-42.
  • [14] C. Faccenna, A.F. Holt, T.W. Becker, S. Lallemand, L.H. Royden, Dynamics of the Ryukyu/Izu-Bonin-Marianas double subduction system. Tectonophysics 746 (2018) 229-238.
  • [15] J. Fan, D. Zhao, P-wave anisotropic tomography of the central and southern Philippines, Physics of the Earth and Planetary Interiors 286 (2019) 154-164.
  • [16] P. Lemenkova, Factor Analysis by R Programming to Assess Variability Among Environmental Determinants of the Mariana Trench. Turkish Journal of Maritime and Marine Sciences, 4 (2018) 146-155.
  • [17] W.-B. Doo, K.-C. Hao, D. Brown, C.-L. Lo, S.-K. Hsu, Y.-S. Huang, Serpentinization of the fore-arc mantle along the Taiwan arc-continent collision of the northern Manila subduction zone inferred from gravity modeling. Tectonophysics 691 (2016) 282-289.
  • [18] P. Lemenkova, Hierarchical Cluster Analysis by R language for Pattern Recognition in the Bathymetric Data Frame: a Case Study of the Mariana Trench, Pacific Ocean. Virtual Simulation, Prototyping and Industrial Design. 2(5) (2018) 147-152.
  • [19] P. Lemenkova, Scatterplot Matrices of the Geomorphic Structure of the Mariana Trench at Four Tectonic Plates (Pacific, Philippine, Mariana and Caroline): a Geostatistical Analysis by R. Problems of Tectonics of Continents and Oceans 1 (2019) 347-352.
  • [20] Z. Cheng, W. Ding, M. Faccenda, J. Li, X. Lin, L. Ma, P. Fang, H. Ding, Geodynamic effects of subducted seamount at the Manila Trench: Insights from numerical modeling, Tectonophysics 764 (2019) 46-61.
  • [21] H.-S. Yu, Nature and distribution of the deformation front in the Luzon Arc-Chinese continental margin collision zone at Taiwan, Marine Geophysical Researches 25 (2004) 109-122.
  • [22] F. Li, Z. Sun, D. Hu, Z. Wang, Crustal structure and deformation associated with seamount subduction at the north Manila Trench represented by analog and gravity modeling. Marine Geophysical Research 34 (2013) 393.
  • [23] E. He, M. Zhao, X. Qiu, J.-C. Sibuet, J. Wang, J. Zhang, Crustal structure across the post-spreading magmatic ridge of the East Sub-basin in the South China Sea: Tectonic significance. Journal of Asian Earth Sciences 121 (2016) 139-152.
  • [24] C.-Y. Ku, S.-K. Hsu, Crustal structure and deformation at the northern Manila Trench between Taiwan and Luzon islands. Tectonophysics 466 (3-4) (2009) 229-240.
  • [25] R. Lester, K. McIntosh, H.J.A. Van Avendonk, L. Lavier, C.-S. Liu, T.K. Wang, Crustal accretion in the Manila trench accretionary wedge at the transition from subduction to mountain-building in Taiwan. Earth and Planetary Science Letters, 375 (2013) 430-440.
  • [26] P. Lemenkova, An Empirical Study of R Applications for Data Analysis in Marine Geology. Marine Science and Technology Bulletin, 8(1) (2019) 1-9.
  • [27] P. Lemenkova, AWK and GNU Octave Programming Languages Integrated with Generic Mapping Tools for Geomorphological Analysis. GeoScience Engineering 65(4) (2019) 1-22.
  • [28] P. Lemenkova, Regression Models by Gretl and R Statistical Packages for Data Analysis in Marine Geology. International Journal of Environmental Trends 3(1) (2019) 39-59.
  • [29] P. Lemenkova, Numerical Data Modelling and Classification in Marine Geology by the SPSS Statistics. International Journal of Engineering Technologies 5(2) (2019) 90-99.
  • [30] P. Wessel, W.H.F. Smith, New, improved version of the generic mapping tools released. Eos Transactions American Geophysical Union 79 (1998) 579.
  • [31] Y.-J. Hsu, S.-B. Yu, A.T.R. Song, T. Bacolcol, Plate coupling along the Manila subduction zone between Taiwan and northern Luzon. Journal of Asian Earth Sciences 51 (2012) 98-108.
  • [32] S.J. Giletycz, A.T.S. Lin, C.-P. Chang, J. Shyu, Relicts of mud diapirism of the emerged wedge-top as an indicator of gas hydrates destabilization in the Manila accretionary prism in southern Taiwan (Hengchun Peninsula). Geomorphology 336 (2019) 1-17.
  • [33] W.H.F. Smith, D.T. Sandwell, Global seafloor topography from satellite altimetry and ship depth soundings. Science 277 (1997) 1957-1962.
  • [34] T.G. Farr, P.A. Rosen, E. Caro, R. Crippen, R. Duren, S. Hensley, M. Kobrick, M. Paller, E. Rodriguez, L. Roth, D. Seal, S. Shaffer, J. Shimada, J. Umland, M. Werner, M. Oskin, D. Burbank, D. Alsdorf, The Shuttle Radar Topography Mission. AGU Review of Geophysics, 45(2) (2007).
  • [35] C.J. Olson, J.J. Becker, D.T. Sandwell, A new global bathymetry map at 15 arcsecond resolution for resolving seafloor fabric: SRTM15_PLUS. AGU Fall Meeting Abstracts (2014).
  • [36] D.T. Sandwell, R.D. Müller, W.H.F. Smith, E. Garcia, R. Francis, New global marine gravity model from CryoSat-2 and Jason-1 reveals buried tectonic structure. Science, 346(6205) (2014) 65-67.
  • [37] W.-B. Doo, C.-L. Lo, S.-K. Hsu, C.-H. Tsai, Y.-S. Huang, H.-F. Wang, S.-D. Chiu, Y.-F. Ma, C.-W. Liang, New gravity anomaly map of Taiwan and its surrounding regions with some tectonic interpretations. Journal of Asian Earth Sciences 154 (2018) 93-100.
  • [38] M.-H. Chang, S. Jan, V. Mensah, M. Andres, L. Rainville, Y.J. Yang, Y.H. Cheng, Zonal migration and transport variations of the Kuroshio east of Taiwan induced by eddy impingements. Deep-Sea Research, I 131 (2018) 1-15.
  • [39] P. Lemenkova, Statistical Analysis of the Mariana Trench Geomorphology Using R Programming Language. Geodesy and Cartography 45(2) (2019) 57-84.
  • [40] I.A. Suetova, L.A. Ushakova, P. Lemenkova, Geoinformation mapping of the Barents and Pechora Seas. Geography and Natural Resources 4 (2005) 138-142.
  • [41] M. Klaučo, B. Gregorová, U. Stankov, V. Marković, P. Lemenkova, Determination of ecological significance based on geostatistical assessment: a case study from the Slovak Natura 2000 protected area. Central European Journal of Geosciences 5(1) (2013) 28-42.
  • [42] M. Klaučo, B. Gregorová, U. Stankov, V. Marković, P. Lemenkova, Land planning as a support for sustainable development based on tourism: A case study of Slovak Rural Region. Environmental Engineering and Management Journal 2(16) (2017) 449-458.
  • [43] P. Lemenkova, I. Elek, Clustering Algorithm in ILWIS GIS for Classification of Landsat TM Scenes: a Case Study of Mecsek Hills Region, Hungary. Geosciences and Environment, Section ‘Near-Surface Geophysics’ (2012).
  • [44] P. Lemenkova, Processing oceanographic data by Python libraries NumPy, SciPy and Pandas. Aquatic Research 2 (2019) 73-91.
  • [45] P. Lemenkova, Geospatial Analysis by Python and R: Geomorphology of the Philippine Trench, Pacific Ocean. Electronic Letters on Science and Engineering 15(3) (2019) 81-94.
  • [46] H.W. Schenke, P. Lemenkova, Zur Frage der Meeresboden-Kartographie: Die Nutzung von AutoTrace Digitizer für die Vektorisierung der Bathymetrischen Daten in der Petschora-See. Hydrographische Nachrichten 25(81) (2008) 16-21.
  • [47] P. Lemenkova, Plotting Ternary Diagrams by R Library ggtern for Geological Modelling. Eastern Anatolian Journal of Science 5(2) (2019) 16-25.
  • [48] P. Lemenkova, K-means Clustering in R Libraries {cluster} and {factoextra} for Grouping Oceanographic Data. International Journal of Informatics and Applied Mathematics 2(1) (2019) 1-26.
  • [49] S. Gauger, G. Kuhn, K. Gohl, T. Feigl, P. Lemenkova, C. Hillenbrand, Swath-bathymetric mapping, The expedition ANTARKTIS-XXIII/4 of the Research Vessel ’Polarstern’ in 2006. Reports on Polar and Marine Research, 557 (2007) 38-45.
  • [50] G. Kuhn, C. Hass, M. Kober, M. Petitat, T. Feigl, C.D. Hillenbrand, S. Kruger, M. Forwick, S. Gauger, P. Lemenkova, 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. Expeditionsprogramm Nr. 75 ANT XXIII/4, AWI for Polar and Marine Research (2006).
  • [51] P. Lemenkova, Geomorphological modelling and mapping of the Peru-Chile Trench by GMT. Polish Cartographical Review 51(4) (2019) 181-194.
  • [52] P. Lemenkova, GMT Based Comparative Analysis and Geomorphological Mapping of the Kermadec and Tonga Trenches, Southwest Pacific Ocean. Geographia Technica 14(2) (2019) 39-48.
  • [53] P. Lemenkova, Topographic surface modelling using raster grid datasets by GMT: example of the Kuril-Kamchatka Trench, Pacific Ocean. Reports on Geodesy and Geoinformatics, 108 (2019) 9-22.

Year 2020, Volume: 4 Issue: 1, 1 - 18, 30.06.2020

Polina Lemenkova

https://doi.org/10.29002/asujse.604761

Abstract

Project Number

2016SOA002

References

  • [1] C.-L. Lo, W.-B. Doo, K.-C. Hao, S.-K. Hsu, Plate coupling across the northern Manila subduction zone deduced from mantle lithosphere buoyancy. Physics of the Earth and Planetary Interiors, 273 (2017) 50-54.
  • [2] Y. Liu, A. Santos, S.M. Wang, Y. Shi, H. Liu, D.A. Yuen, Tsunami hazards along Chinese coast from potential earthquakes in South China Sea. Physics of the Earth and Planetary Interiors 163 (1-4) (2007) 233-244.
  • [3] T.-R. Wu, H.-C. Huang, Modeling tsunami hazards from Manila trench to Taiwan, Journal of Asian Earth Sciences 36 (2009) 21-28.
  • [4] A. Ruangrassamee, N. Saelem, Effect of Tsunamis generated in the Manila Trench on the Gulf of Thailand, Journal of Asian Earth Sciences 36 (2009) 56-66.
  • [5] P.H. Nguyen, Q.C. Bui, P.H. Vu, T.T. Pham, Scenario-based tsunami hazard assessment for the coast of Vietnam from the Manila Trench source, Physics of the Earth and Planetary Interiors, 236 (2014) 95-108.
  • [6] C.B. Bautista, M.L.P. Bautista, K. Oike, F.T. Wu, R.S. Punongbayan, A new insight on the geometry of subducting slabs in northern Luzon, Philippines. Tectonophysics 339 (2001) 279-310.
  • [7] S.L. Soloviev, C.N. Go, A Catalogue of Tsunamis on the Western Shore of the Pacific Ocean. Academy of Sciences of the USSR. Nauka Publishing, Moscow, (1974) 439.
  • [8] S.-J. Chin, J.-Y. Lin, Y.-C. Yeh, K.-C. Hao, C.-W. Liang, Seismotectonic characteristics of the Taiwan collision-Manila subduction T transition: The effect of pre-existing structures. Journal of Asian Earth Sciences 173 (2019) 113-120.
  • [9] B.R. Calder, L.A. Mayer, Automatic processing of high-rate, high-density multibeam echosounder data. Geochemistry Geophysics Geosystems, 4(6) (2003) 1-24.
  • [10] P. Lemenkova, Testing Linear Regressions by StatsModel Library of Python for Oceanological Data Interpretation. Aquatic Sciences and Engineering 34, (2019) 51-60.
  • [11] L. Zhang, C. He, Y. Liu, J. Lin, Frictional properties of the South China Sea oceanic basalt and implications for strength of the Manila subduction seismogenic zone. Marine Geology 394, 16-29 (2017).
  • [12] H. Yu, Y. Liu, H. Yang, J. Ning, Modeling earthquake sequences along the Manila subduction zone: Effects of three-dimensional fault geometry. Tectonophysics 733 (2018) 73-84.
  • [13] P. Lemenkova, R scripting libraries for comparative analysis of the correlation methods to identify factors affecting Mariana Trench formation. Journal of Marine Technology and Environment 2 (2018) 35-42.
  • [14] C. Faccenna, A.F. Holt, T.W. Becker, S. Lallemand, L.H. Royden, Dynamics of the Ryukyu/Izu-Bonin-Marianas double subduction system. Tectonophysics 746 (2018) 229-238.
  • [15] J. Fan, D. Zhao, P-wave anisotropic tomography of the central and southern Philippines, Physics of the Earth and Planetary Interiors 286 (2019) 154-164.
  • [16] P. Lemenkova, Factor Analysis by R Programming to Assess Variability Among Environmental Determinants of the Mariana Trench. Turkish Journal of Maritime and Marine Sciences, 4 (2018) 146-155.
  • [17] W.-B. Doo, K.-C. Hao, D. Brown, C.-L. Lo, S.-K. Hsu, Y.-S. Huang, Serpentinization of the fore-arc mantle along the Taiwan arc-continent collision of the northern Manila subduction zone inferred from gravity modeling. Tectonophysics 691 (2016) 282-289.
  • [18] P. Lemenkova, Hierarchical Cluster Analysis by R language for Pattern Recognition in the Bathymetric Data Frame: a Case Study of the Mariana Trench, Pacific Ocean. Virtual Simulation, Prototyping and Industrial Design. 2(5) (2018) 147-152.
  • [19] P. Lemenkova, Scatterplot Matrices of the Geomorphic Structure of the Mariana Trench at Four Tectonic Plates (Pacific, Philippine, Mariana and Caroline): a Geostatistical Analysis by R. Problems of Tectonics of Continents and Oceans 1 (2019) 347-352.
  • [20] Z. Cheng, W. Ding, M. Faccenda, J. Li, X. Lin, L. Ma, P. Fang, H. Ding, Geodynamic effects of subducted seamount at the Manila Trench: Insights from numerical modeling, Tectonophysics 764 (2019) 46-61.
  • [21] H.-S. Yu, Nature and distribution of the deformation front in the Luzon Arc-Chinese continental margin collision zone at Taiwan, Marine Geophysical Researches 25 (2004) 109-122.
  • [22] F. Li, Z. Sun, D. Hu, Z. Wang, Crustal structure and deformation associated with seamount subduction at the north Manila Trench represented by analog and gravity modeling. Marine Geophysical Research 34 (2013) 393.
  • [23] E. He, M. Zhao, X. Qiu, J.-C. Sibuet, J. Wang, J. Zhang, Crustal structure across the post-spreading magmatic ridge of the East Sub-basin in the South China Sea: Tectonic significance. Journal of Asian Earth Sciences 121 (2016) 139-152.
  • [24] C.-Y. Ku, S.-K. Hsu, Crustal structure and deformation at the northern Manila Trench between Taiwan and Luzon islands. Tectonophysics 466 (3-4) (2009) 229-240.
  • [25] R. Lester, K. McIntosh, H.J.A. Van Avendonk, L. Lavier, C.-S. Liu, T.K. Wang, Crustal accretion in the Manila trench accretionary wedge at the transition from subduction to mountain-building in Taiwan. Earth and Planetary Science Letters, 375 (2013) 430-440.
  • [26] P. Lemenkova, An Empirical Study of R Applications for Data Analysis in Marine Geology. Marine Science and Technology Bulletin, 8(1) (2019) 1-9.
  • [27] P. Lemenkova, AWK and GNU Octave Programming Languages Integrated with Generic Mapping Tools for Geomorphological Analysis. GeoScience Engineering 65(4) (2019) 1-22.
  • [28] P. Lemenkova, Regression Models by Gretl and R Statistical Packages for Data Analysis in Marine Geology. International Journal of Environmental Trends 3(1) (2019) 39-59.
  • [29] P. Lemenkova, Numerical Data Modelling and Classification in Marine Geology by the SPSS Statistics. International Journal of Engineering Technologies 5(2) (2019) 90-99.
  • [30] P. Wessel, W.H.F. Smith, New, improved version of the generic mapping tools released. Eos Transactions American Geophysical Union 79 (1998) 579.
  • [31] Y.-J. Hsu, S.-B. Yu, A.T.R. Song, T. Bacolcol, Plate coupling along the Manila subduction zone between Taiwan and northern Luzon. Journal of Asian Earth Sciences 51 (2012) 98-108.
  • [32] S.J. Giletycz, A.T.S. Lin, C.-P. Chang, J. Shyu, Relicts of mud diapirism of the emerged wedge-top as an indicator of gas hydrates destabilization in the Manila accretionary prism in southern Taiwan (Hengchun Peninsula). Geomorphology 336 (2019) 1-17.
  • [33] W.H.F. Smith, D.T. Sandwell, Global seafloor topography from satellite altimetry and ship depth soundings. Science 277 (1997) 1957-1962.
  • [34] T.G. Farr, P.A. Rosen, E. Caro, R. Crippen, R. Duren, S. Hensley, M. Kobrick, M. Paller, E. Rodriguez, L. Roth, D. Seal, S. Shaffer, J. Shimada, J. Umland, M. Werner, M. Oskin, D. Burbank, D. Alsdorf, The Shuttle Radar Topography Mission. AGU Review of Geophysics, 45(2) (2007).
  • [35] C.J. Olson, J.J. Becker, D.T. Sandwell, A new global bathymetry map at 15 arcsecond resolution for resolving seafloor fabric: SRTM15_PLUS. AGU Fall Meeting Abstracts (2014).
  • [36] D.T. Sandwell, R.D. Müller, W.H.F. Smith, E. Garcia, R. Francis, New global marine gravity model from CryoSat-2 and Jason-1 reveals buried tectonic structure. Science, 346(6205) (2014) 65-67.
  • [37] W.-B. Doo, C.-L. Lo, S.-K. Hsu, C.-H. Tsai, Y.-S. Huang, H.-F. Wang, S.-D. Chiu, Y.-F. Ma, C.-W. Liang, New gravity anomaly map of Taiwan and its surrounding regions with some tectonic interpretations. Journal of Asian Earth Sciences 154 (2018) 93-100.
  • [38] M.-H. Chang, S. Jan, V. Mensah, M. Andres, L. Rainville, Y.J. Yang, Y.H. Cheng, Zonal migration and transport variations of the Kuroshio east of Taiwan induced by eddy impingements. Deep-Sea Research, I 131 (2018) 1-15.
  • [39] P. Lemenkova, Statistical Analysis of the Mariana Trench Geomorphology Using R Programming Language. Geodesy and Cartography 45(2) (2019) 57-84.
  • [40] I.A. Suetova, L.A. Ushakova, P. Lemenkova, Geoinformation mapping of the Barents and Pechora Seas. Geography and Natural Resources 4 (2005) 138-142.
  • [41] M. Klaučo, B. Gregorová, U. Stankov, V. Marković, P. Lemenkova, Determination of ecological significance based on geostatistical assessment: a case study from the Slovak Natura 2000 protected area. Central European Journal of Geosciences 5(1) (2013) 28-42.
  • [42] M. Klaučo, B. Gregorová, U. Stankov, V. Marković, P. Lemenkova, Land planning as a support for sustainable development based on tourism: A case study of Slovak Rural Region. Environmental Engineering and Management Journal 2(16) (2017) 449-458.
  • [43] P. Lemenkova, I. Elek, Clustering Algorithm in ILWIS GIS for Classification of Landsat TM Scenes: a Case Study of Mecsek Hills Region, Hungary. Geosciences and Environment, Section ‘Near-Surface Geophysics’ (2012).
  • [44] P. Lemenkova, Processing oceanographic data by Python libraries NumPy, SciPy and Pandas. Aquatic Research 2 (2019) 73-91.
  • [45] P. Lemenkova, Geospatial Analysis by Python and R: Geomorphology of the Philippine Trench, Pacific Ocean. Electronic Letters on Science and Engineering 15(3) (2019) 81-94.
  • [46] H.W. Schenke, P. Lemenkova, Zur Frage der Meeresboden-Kartographie: Die Nutzung von AutoTrace Digitizer für die Vektorisierung der Bathymetrischen Daten in der Petschora-See. Hydrographische Nachrichten 25(81) (2008) 16-21.
  • [47] P. Lemenkova, Plotting Ternary Diagrams by R Library ggtern for Geological Modelling. Eastern Anatolian Journal of Science 5(2) (2019) 16-25.
  • [48] P. Lemenkova, K-means Clustering in R Libraries {cluster} and {factoextra} for Grouping Oceanographic Data. International Journal of Informatics and Applied Mathematics 2(1) (2019) 1-26.
  • [49] S. Gauger, G. Kuhn, K. Gohl, T. Feigl, P. Lemenkova, C. Hillenbrand, Swath-bathymetric mapping, The expedition ANTARKTIS-XXIII/4 of the Research Vessel ’Polarstern’ in 2006. Reports on Polar and Marine Research, 557 (2007) 38-45.
  • [50] G. Kuhn, C. Hass, M. Kober, M. Petitat, T. Feigl, C.D. Hillenbrand, S. Kruger, M. Forwick, S. Gauger, P. Lemenkova, 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. Expeditionsprogramm Nr. 75 ANT XXIII/4, AWI for Polar and Marine Research (2006).
  • [51] P. Lemenkova, Geomorphological modelling and mapping of the Peru-Chile Trench by GMT. Polish Cartographical Review 51(4) (2019) 181-194.
  • [52] P. Lemenkova, GMT Based Comparative Analysis and Geomorphological Mapping of the Kermadec and Tonga Trenches, Southwest Pacific Ocean. Geographia Technica 14(2) (2019) 39-48.
  • [53] P. Lemenkova, Topographic surface modelling using raster grid datasets by GMT: example of the Kuril-Kamchatka Trench, Pacific Ocean. Reports on Geodesy and Geoinformatics, 108 (2019) 9-22.
There are 53 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Research Article
Authors

Polina Lemenkova 0000-0002-5759-1089

Project Number 2016SOA002
Publication Date June 30, 2020
Submission Date August 9, 2019
Acceptance Date February 28, 2020
Published in Issue Year 2020Volume: 4 Issue: 1

Cite

APA Lemenkova, P. (2020). Cartographic Interpretation of the Seafloor Geomorphology Using GMT: a Case Study of the Manila Trench, South China. Aksaray University Journal of Science and Engineering, 4(1), 1-18. https://doi.org/10.29002/asujse.604761
 Download Cover Image

Aksaray J. Sci. Eng. | e-ISSN: 2587-1277 | Period: Biannually | Founded: 2017 | Publisher: Aksaray University | https://asujse.aksaray.edu.tr



ASUJSE is indexing&Archiving in

crossref-logo-landscape-100.png    scholar_logo_30dp.png          oaliblogo2.jpg   GettyImages_90309427_montage_255x130px.png search-result-logo-horizontal-TEST.jpg

22644 EBSCO


Creative Commons License