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...

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Main Author: Polina Lemenkova
Format: Article
Language:English
Published: Casa Cartii de Stiinta Cluj-Napoca 2020-12-01
Series:Riscuri şi Catastrofe
Subjects:
gmt
Online Access:http://riscurisicatastrofe.reviste.ubbcluj.ro/Volume/XX_Nr_27_2_2020/PDF/04_Lemenkova_67_83.pdf
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spelling doaj-31bc3b0f3da24b9bb4525eeafe8fef982020-12-12T18:58:48ZengCasa Cartii de Stiinta Cluj-NapocaRiscuri şi Catastrofe1584-52732069-76942020-12-01272678310.24193/RCJ2020_12Insights on the Indian Ocean Tectonics and Geophysics Supported by GMTPolina Lemenkova0https://orcid.org/0000-0002-5759-1089Schmidt Institute of Physics of the Earth, Russian Academy of Sciences Laboratory of Regional Geophysics and Natural Disasters (No. 303). 10 Bolshaya Gruzinskaya St., Bld. 1, Moscow, 123995, Russian Federation. Tel.: +007-916-298-37-19. pauline.lemenkova@gmail.com 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 reveled 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 contribut ed to the regional studies of the Indian Ocean.http://riscurisicatastrofe.reviste.ubbcluj.ro/Volume/XX_Nr_27_2_2020/PDF/04_Lemenkova_67_83.pdfindian oceangeomorphologyseafloorgeophysicstopographygmt
collection DOAJ
language English
format Article
sources DOAJ
author Polina Lemenkova
spellingShingle Polina Lemenkova
Insights on the Indian Ocean Tectonics and Geophysics Supported by GMT
Riscuri şi Catastrofe
indian ocean
geomorphology
seafloor
geophysics
topography
gmt
author_facet Polina Lemenkova
author_sort Polina Lemenkova
title Insights on the Indian Ocean Tectonics and Geophysics Supported by GMT
title_short Insights on the Indian Ocean Tectonics and Geophysics Supported by GMT
title_full Insights on the Indian Ocean Tectonics and Geophysics Supported by GMT
title_fullStr Insights on the Indian Ocean Tectonics and Geophysics Supported by GMT
title_full_unstemmed Insights on the Indian Ocean Tectonics and Geophysics Supported by GMT
title_sort insights on the indian ocean tectonics and geophysics supported by gmt
publisher Casa Cartii de Stiinta Cluj-Napoca
series Riscuri şi Catastrofe
issn 1584-5273
2069-7694
publishDate 2020-12-01
description 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 reveled 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 contribut ed to the regional studies of the Indian Ocean.
topic indian ocean
geomorphology
seafloor
geophysics
topography
gmt
url http://riscurisicatastrofe.reviste.ubbcluj.ro/Volume/XX_Nr_27_2_2020/PDF/04_Lemenkova_67_83.pdf
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