RESEARCH ARTICLE- GMT-Based Geological

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RESEARCH ARTICLE- GMT-Based Geological r ito NESciences, 2020, 5(1): 1-17 doi: 10.28978/nesciences.691708d - RESEARCH ARTICLE- E GMT-based geological mapping and assessment of the bathymetric variationsF of the Kuril-Kamchatka Trench, Pacific Ocean Polina Lemenkova* D Ocean University of China, College of Marine Geo-sciences,P Qingdao, China. Abstract This manuscript summarizes the results of the geospatial analysisr undertaken by means of Generic Mapping Tools (GMT). The comparative assessment of the bathymetry of the Kuril-Kamchatka hadal trench was performed for southern and northern segments separated by the Bussol Strait. The formation of the hadal trench is affected by the impacts ofe local geological and geophysical settings varying along the trench. The methodological approacht is as follows. The profiling was undertaken using GMT modules ‘grdimage’, ‘grdtrack’ and ‘psxy’. The modelling consists of the collected data of 10706 observation samples from 52 profiless in southern part and 12726 from 62 profiles in the northern segment. The GMT modules ‘psrose’ and ‘pshistograms’ were used to plot histograms and rose diagrams visualizing bathymetric variablesa of depths. The geology was mapped using GMT modules ‘pscoast’, ‘grdcut’, ‘grdcontour’ and ‘psxy’ to plot lineaments and geological objects (ophiolites, faults, earthquakes, trench, magnetic anomalies, tectonic slabs, fracture zones and volcanoes). The base map is based on the ETOPO Global Relief Model. The comparison of the bathymetry shown variations in Mthe northern and southern segments: southern part reaches - 8,200 m maximal depths while northern has -7,800 m. This is influenced by the geological settings: earthquakes magnitude and seismisity are higher in the south-west. The submarine terraces and floodplains were observed at n-4000 m depth forming landforms located southwards off the Bussol Strait. This geospatial analysisi contributes to the development of the geological mapping with an example of the Kamchatka area, a region with high seismisity and repeated earthquakes. Keywords: GMT, Bathymetry, dModelling, Mapping, Geospatial Analysis Article history: Received 26t Julye 2019, Accepted 29 January 2020, Available online 19 February 2020 * Correspondinga Author: Polina Lemenkova, E:mail: [email protected] e r C Natural and Engineering Sciences 2 r Introduction o The geographic object of this study is the Kuril-Kamchatka Trench, located in the north-west it Pacific Ocean (Figure 1). The specific distinction of this hadal trench is its clear division into two parts: northern and southern segments separated by the Bussol Strait. The geological settings of the study area is characterized by high seismicity, repeated earthquakes, and tectonic instability causedd by plate subduction. Geological factors differ in northern and southern parts of the trench, which naturally affects its geomorphology. The comparisons on the northern and southern parts of the Kuril-Kamchatka Trench seafloor are not assessed within the published literature. Therefore,E the novelty of this study is a contribution towards the regional analysis of the geospatial variation of the trench geomorphology in its southern and northern parts. The study aim is comparative geomorphic analysis of deep-sea oceanicF trench: Kuril- Kamchatka Trench located in the geologically complex region of the north-western part of the Pacific Ocean. Complex geophysical settings results in formation of the trench, high seismicity, repetitive earthquakes and volcanism and geodynamic instability visualizedD on the thematic maps of geological and tectonic settings as the most important causes of the ocean trench formation. Cartographic objective of the study is to visualize bathymetry, geologicalP settings, earthquakes, volcanoes and seismisity, depict lineaments of the tectonic slabs, areas of large igneous provinces, geomorphology, tectonic and geological settings of the trench. Additional aim is to perform statistical analysis for comparative depths distribution and aspectr of the slopes in the southern and northern part of the Kuril-Kamchatka Trench. The objective of this research was to detect differencese in the northern and southern parts of the Kuril-Kamchatka Trench through performed tcomparative geostatistical analysis using a sequence of the presented GMT modules. Technically, this research is intended to establish a framework of the GMT based geospatial modellings and mapping using multi-source data to obtain a better understanding of the submarine shape of the Kuril-Kamchatka Trench, and to raise awareness of this unique location. a The tectonic properties of the study area mutually affect both land and submarine geomorphology. Thus, as noted by Pflanz et al. (2013), the location of the KKT at the meeting place of active Kuril–Kamchatka andM Aleutian arcs causes the coastline of the Kamchatka Peninsula to be affected by strong tectonic activities. Fracture zones have variable influence on the uplift of the Kamchatka Peninsula. The geomorphic consequence include raise of the multi-level, highly uplifted marine terracesn displaced along the active tectonic faults. Furthermore, the tectonic movements cause the uplifti of the coastal sediments (Pflanz et al., 2013). Material and Methods The research methodology is completely based on the use of the Generic Mapping Tools (GMT) cartographic scriptingd toolset that was used to map Figures 1, 2, 3 and 4. The GMT is a highly effective professional tool designed for mapping and developed by Wessel in Smith (Wessel & Smith, 1998). eComparing to the traditional GIS software, the advantages of the GMT consists in its flexibilityt provided by scripting approaches rather than GUI, as well as open source free availability. A great advantage is a cartographic functionality of this tool set: a large variety of the visualization,a plotting, modelling, as well as advanced cartographic modules: mapping projections, modelling,e grid raster data processing (Wessel & Smith, 1991). Due to the advantages of the GMT r C Natural and Engineering Sciences 3 r that consists in its functionality, a wide range of the cartographic projections and availability of the o modules the GMT was selected as the best cartographic tools for geospatial analysis that was t performed using available documentation (Wessel & Smith, 2018; Wessel et al., 2019). In contrast i to the classic cartographic approaches having Graphical User Interface (GUI), e.g. ArcGIS based, in geodata visualization and mapping (Suetova et al., 2005; Klaučo et al., 2013; Gauger et al., 2007;d Klaučo et al., 2017; Lemenkova, 2011; Kuhn et al., 2006), the GMT is notable for its scripting algorithms as a core conceptual methodology. Bathymetric mapping E Bathymetric mapping (shown on Figure 1) and plotting profiles was performed using ETOPO1 bathymetric grid with 1 minute resolution using existing methodology (Lemenkova, 2019g; Lemenkova, 2019h). The map was visualized on the study area square using aF sequence of the GMT modules. A ’grdcut’ module was used for cutting area of interest from the global grid earth relief 01m.grd by selecting coordinates -R, following by ’grdimage’ module for visualizing the grid itself. Examples of the previous research on the semi-automated digitizingD of the cross-section profiles in Quantum GIS for further modelling using R language were considered for general research workflow (Lemenkova, 2018a; Lemenkova, 2018b). The key code snippets are provided below: First, selecting study area from the grid was done usingP ‘grdcut’ module: grdcut earth_relief_01m.grd -R140/170/40/60 -Gkkt_relief.ncgmt Second, the image was visualized using ‘grdimage’ GMT module: grdimage kkt_relief.nc -Cmyocean.cptr -R140/170/40/60 -JM6i - P -I+a15+ne0.75 -Xc -K > $ps Third, the key points for northern and southern segments were selected by the code: gmt pstext -R -J -N -O -K -F+jTL+f18p,Times-Roman,yellow+jLB >> $ps << EOF 161.0 48.3 Kuril-Kamchatka 161.0 47.5 Trench EOFe Then the profiles were plotted using GMT ‘grdtrack’ module (example for the nortehrn part):t gmt grdtrack trench2.txt -Gkkt_relief.nc -C400k/2k/10k+v -Sm+sstack2.txt > table2.txt The profiles were plotted using code: gmt psxy -R -J -W0.5p table2.txt -O -K >> $ps The text annotationss were added using following (here example of Deryugin Basin): gmt pstext -R -J -N -O -K -F+jTL+f14p,Times-Roman,black+jLB+a-75 - Gwhite -Wthinnest >> $ps << EOF 145.0 54.5a Deryugin Basin EOF M in d te a e r C r ito d E F D P r te Natural and Engineering Sciences s a M in d e t Figure Geological mapping The geological mapping1 (Figure 2) is based on the use of the sequence of the GMT modules. a Several auxiliary modules. Study were area: then bathymetric used both formap cartographic of the Sea of purposes Okhotsk (color and Kuril scale, scale bar, directional rose, grid ticks and lines, etc) and for the map embellis available techniques (Smith & Sandwell, 1997). The shoreline vector layers were driven from the existing GMT data sets (Wessel & Smith, 1996): tectonics, bathymetry, geomorphology and e geology. The most important code are the followi 4 using following code: gmt grdcut earth_relief_05m.grd r the coatslines were added: gmt pscoast Gpapayawhip GMT code by ‘grdcontour’ module: gmt grdcontour @kkt_relief.nc A2000+f9p,Times C sequence of the geological lineaments -Slightcyan -Roman -Df -S4 -K > $ -T+d15p/3p ps Bathymetric contours were added using the following -R140/170/40/60 and objects: ng: The relief map from ETOPO5 was cut off -Kamchatka Trench. -W0.1p -R140/170/40/60 -O hment (GMT logo) using - K >> $ps Next step-JL155/50/45/55/6i included plotting a -Gkkt_relief.nc - -R P - -W0.1pV Then -J -C500 - - Natural and Engineering Sciences 5 r gmt makecpt -Crainbow -T0/700/50 -Z > rain.cpt o gmt psxy -R -J trench.gmt -Sf1.5c/0.2c+l+t -Wthick,red -Gred -O -K >> $ps it gmt psxy -R -J ridge.gmt -Sf0.5c/0.15c+l+t -Wthin,darkcyan -Gpurple -O -K >> $ps gmt psxy -R -J LIPS.2011.gmt -L -Gpink1@50 -Wthinnest,red -O -K >> $ps d gmt psxy -R -J ophiolites.gmt -Sc0.1c -Gmagenta -Wthinnest -O -K >> $ps gmt psxy -R -J volcanoes.gmt -Sc0.1c -Gpurple -Wthinnest -O -K >> $ps E F D P r e st a M in d Figure 2.
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