Name: Cartographic Interpretation of the Seafloor Geomorphology Using GMT: a Case Study of the Manila Trench, South China
Creator: LEMENKOVA, Polina
Keywords: Data Analysis, [SDU.STU.GM] Sciences of the Universe [physics]/Earth Sciences/Geomorphology, Mühendislik, [INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR], Kartographie, South China Sea, [SDU.STU.OC] Sciences of the Universe [physics]/Earth Sciences/Oceanography, 01 natural sciences, Engineering, Disciplines graphiques

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 30 Jun 2020Publisher:Aksaray UniversityJournal:Aksaray University Journal of Science and Engineering, volume 4, pages 1-18 (eissn: 2587-1277,

Authors: LEMENKOVA, Polina;

doi: 10.29002/asujse.604761 , 10.5281/zenodo.3899997 , 10.5281/zenodo.3899996 , 10.6084/m9.figshare.12505355 , 10.6084/m9.figshare.12505355.v1

handle: 11585/968013 , 20.500.12451/7597 , 2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/364054

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

- Summary
- Subjects
- Metrics

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.

Related Organizations

Alma Mater Studiorum University of Bologna
Italy
Aksaray University
Turkey
Université Libre de Bruxelles
Belgium
Ocean University of China
China (People's Republic of)
University of Salzburg
Austria

Keywords

Data Analysis, [SDU.STU.GM] Sciences of the Universe [physics]/Earth Sciences/Geomorphology, Mühendislik, [INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR], Kartographie, South China Sea, [SDU.STU.OC] Sciences of the Universe [physics]/Earth Sciences/Oceanography, Engineering, Disciplines graphiques, Géographie physique, Earth Science, Visualization, Géodésie, Kartierung, GMT, Géologie et minéralogie, Geography, Sédimentologie, Geology, GIS, [INFO.INFO-IA] Computer Science [cs]/Computer Aided Engineering, [SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces, environment, Sciences de la terre et du cosmos, Mapping, [INFO.INFO-NA] Computer Science [cs]/Numerical Analysis [cs.NA], Disciplines auxiliaires de l'ingénieur, [SDU.STU.GP] Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph], [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation, Shell script, Sciences exactes et naturelles, Géodynamique et tectonique, Cartography, Systèmes d'information géographique, [SDU.STU.TE] Sciences of the Universe [physics]/Earth Sciences/Tectonics, [INFO] Computer Science [cs], Sciences de l'ingénieur, Education, Physique du globe, Géodésie appliquée topographie [géodésie], Manila-Graben, Océanographie physique et chimique, Géologie, Géomorphologie et orographie, Manila Trench, Südchinesisches Meer, Pacific Ocean, Cartographie, Mapping;Cartography;GMT;Manila Trench;Pacific Ocean;South China Sea, Pazifik See, [SDU.OCEAN] Sciences of the Universe [physics]/Ocean, Atmosphere, FOS: Earth and related environmental sciences, Programmation et méthodes de simulation, Méthodologie de la recherche scientifique, Sémantique des langages de programmation, [INFO.INFO-PL] Computer Science [cs]/Programming Languages [cs.PL], [SDU.STU.AG] Sciences of the Universe [physics]/Earth Sciences/Applied geology, Séismologie, Mapping, Cartography, GMT, Manila Trench, Pacific Ocean, South China Sea, [SDU.STU.VO] Sciences of the Universe [physics]/Earth Sciences/Volcanology, Computer Science, [SDU.STU] Sciences of the Universe [physics]/Earth Sciences, [INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR], [INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC], Photogrammétrie - cartographie, Programmation du calcul numérique

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	1
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average