Back to Search Start Over

Insights on the Indian Ocean tectonics and geophysics supported by GMT

Authors :
Lemenkova, Polina
Schmidt United Institute of Physics of the Earth [Moscow] (IPE)
Russian Academy of Sciences [Moscow] (RAS)
Source :
Riscuri si Catastrofe, Riscuri si Catastrofe, "Babes-Bolyai" University from Cluj-Napoca, Faculty of Geography, 2020, 27 (2), pp.67-83. ⟨10.24193/RCJ2020_12⟩, Riscuri şi Catastrofe, Vol 27, Iss 2, Pp 67-83 (2020)
Publication Year :
2020
Publisher :
HAL CCSD, 2020.

Abstract

International audience; Insights on the Indian Ocean Tectonics and Geophysics Supported by GMT. This paper presented analyzed and summarized data on geological and geophysical settings about the tectonics and geological structure of the seafloor of the Indian Ocean by thematic visualization of the topographic, geophysical and geological data. The seafloor topography of the Indian Ocean is very complex which includes underwater hills, isolated mountains, underwater canyons, abyssal and accumulative plains, trenches. Complex geological settings explain seismic activity, repetitive earthquakes, and tsunami. Understanding and prognosis of the disastrous and catastrophic geological events is strongly based on correct data analysis, modelling and visualization. An important feature of this paper is mapping multi-source high-resolution data by GMT. Data include raster grids in NetCDF and GRD formats: ETOPO1, geologic and marine free-air gravity data, EGM96, age, spreading rates, and spreading asymmetry of the ocean crust by NOAA, total sediment thickness. Data were visualized by GMT modules to compare and analyze geophysical and geological settings of the Indian Ocean. Visualization revealed correlations between high bathymetric variations of the oceanic seafloor, distribution of main geological seafloor fabric: Southwest, Southeast, Mid and Carlsberg ridges. Tectonic maps were plotted to perform comparative analysis of several variables: crust age, spreading half rates (mm/yr), asymmetries in crustal accretion on conjugate ridge flanks (%), variations in the geopotential and gravimetric models. Being the warmest of the world's ocean, Indian Ocean has specific climatic conditions (repetitive monsoons, tsunamis, cyclones and storms), complex geologic seafloor structure with triple junction and unique geographic settings. Presented paper contributed to the regional studies of the Indian Ocean.

Subjects

Subjects :
data analysis
computer science
ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation
Oceanic crust
[SDU.STU.GC]Sciences of the Universe [physics]/Earth Sciences/Geochemistry
Bathymetry
mapping
Indian Ocean
ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications/I.5.4.2: Text processing
ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere
GMT
geography.geographical_feature_category
Geography
geophysics
[SDE.IE]Environmental Sciences/Environmental Engineering
seafloor
lcsh:Geography. Anthropology. Recreation
ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications/I.5.4.0: Computer vision
Geology
General Medicine
ACM: K.: Computing Milieux
Seafloor spreading
[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]
ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models
Generic Mapping Tools
ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.5: Reconstruction
Ridge
[SDE]Environmental Sciences
environment
ACM: I.: Computing Methodologies
Earth science
[SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph]
ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.5: Model Development/I.6.5.0: Modeling methodologies
[SDE.MCG]Environmental Sciences/Global Changes
bathymetry
lcsh:G1-922
[SDU.STU]Sciences of the Universe [physics]/Earth Sciences
Monsoon
ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS
topography
ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.5: Model Development
cartography
[INFO]Computer Science [cs]
14. Life underwater
[SDU.STU.GM]Sciences of the Universe [physics]/Earth Sciences/Geomorphology
[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment
ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications
visualization
[SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography
[SDU.STU.TE]Sciences of the Universe [physics]/Earth Sciences/Tectonics
geography
ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION
modeling
Crust
ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering
Geophysics
geomorphology
[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation
ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE
Tectonics
lcsh:G
ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING
13. Climate action
[SDU]Sciences of the Universe [physics]
Accretion (geology)
lcsh:Geography (General)

Details

Language :
English
ISSN :
15845273
Database :
OpenAIRE
Journal :
Riscuri si Catastrofe, Riscuri si Catastrofe, "Babes-Bolyai" University from Cluj-Napoca, Faculty of Geography, 2020, 27 (2), pp.67-83. ⟨10.24193/RCJ2020_12⟩, Riscuri şi Catastrofe, Vol 27, Iss 2, Pp 67-83 (2020)
Accession number :
edsair.doi.dedup.....d08d0f6cf17850627c01838f540d6279
Full Text :
https://doi.org/10.24193/RCJ2020_12⟩