期刊名称：International Journal of Environment and Geoinformatics
电子版ISSN：2148-9173
出版年度：2019
卷号：6
期号：3
页码：225-237
DOI：10.30897/ijegeo.567343
语种：English
出版社：IJEGEO
摘要：Understandingpatterns of the correlation between the geomorphology and geology ofthe seafloor of the hadal trenches is important for the proper oceanmodelling. Current paper focuses on the west Pacific Ocean regionwith a special case of Mariana Trench, the deepest hadal trench onthe planet. Methodology of the research include combination ofGeneric Mapping Tools (GMT) and Quantum GIS based mapping of thegeographic location, bathymetry, geodesy, sediment thickness,geomorphic shape, tectonic and geologic structure of the MarianaTrench area, and statistical analysis by means of Python. A GMT wasselected for GIS visualization due to its powerful functionality andeffective cartographic solutions. An object-oriented high-levelprogramming language, Python was chosen for the data analysis andscientific plotting. The statistical analysis includes followingsteps: 1) Data distribution by the box plots; 2) Datasorting and grouping by stem plots; 3) Correlation analysis by 3Dcomparative plots referred to four tectonic plates; 4) PrincipalComponent Analysis; 5) Analysis of Variance. The statistical analysisof the data set was performed in Matplotlib library and itsdependencies: NumPy, SciPy and Pandas. A combination of the powerfulmethods by GMT with data analysis supported by Python programminglanguage is an important method in geosciences aimed to increase theeffectiveness of the data analysis by cartographic mapping,statistical computations and graph plotting. This paper illustratedusage of GMT, QGIS and Python for combined data analysis scheme. Theresults demonstrated correlation between the sediment thickness,slope steepness, depths and location of the bathymetric profilescrossing adjacent tectonic plates: Philippine, Pacific, Caroline andMariana.
