Geostatistical mapping of marine surficial sediment types in the Northern Aegean Sea using indicator kriging
作者： I. Zananiri , I. Vakalas
DOI: 10.1007/S00367-019-00581-3
关键词: Surficial sediments 、 Data manipulation language 、 Geology 、 Kriging 、 Physical geography 、 Kriging algorithm 、 Continental shelf 、 Geographic information system 、 Bathymetry 、 Physical context
摘要: A robust and accurate method is presented for the geostatistical mapping of marine grain-size data Aegean Sea, incorporating new making use various marine-environmental proxy parameters interpolation. This approach based on an indicator kriging algorithm, which also considers environment parameters, such as bathymetry sediment sourcing, through a co-kriging treatment. Data manipulation carried out without need specialised software, in geographic information system (GIS) environment, with implementation analysis tools. The quality produced map was assessed MESH criteria, yielding total score 74%; comparison other interpolation methods, IDW local polynomials showed better representation physical context surficial sediments. map, all existing from recent legacy data, provides valuable sedimentation Northern continental shelf, area significant scientific interest geomorphological, palaeoenvironmental economic studies.
springer.com
harvard.edu
sci-hub.se 参考文章(20)
C. Perissoratis, I. Angelopoulos, D. Mitropoulos, Exploring the Offshore Area of N.E. Greece for Placer Deposits: Geologic Framework and Preliminary Results Marine Minerals. pp. 57- 70 ,(1987) , 10.1007/978-94-009-3803-8_6
R.M. Lark, B.P. Marchant, D. Dove, S.L. Green, H. Stewart, M. Diesing, Combining observations with acoustic swath bathymetry and backscatter to map seabed sediment texture classes: The empirical best linear unbiased predictor Sedimentary Geology. ,vol. 328, pp. 17- 32 ,(2015) , 10.1016/J.SEDGEO.2015.07.012
R.M. Lark, D. Dove, S.L. Green, A.E. Richardson, H. Stewart, A. Stevenson, Spatial prediction of seabed sediment texture classes by cokriging from a legacy database of point observations Sedimentary Geology. ,vol. 281, pp. 35- 49 ,(2012) , 10.1016/J.SEDGEO.2012.07.009
Chester K. Wentworth, A Scale of Grade and Class Terms for Clastic Sediments The Journal of Geology. ,vol. 30, pp. 377- 392 ,(1922) , 10.1086/622910
Markus Diesing, Sophie L. Green, David Stephens, R. Murray Lark, Heather A. Stewart, Dayton Dove, Mapping seabed sediments: Comparison of manual, geostatistical, object-based image analysis and machine learning approaches computer science symposium in russia. ,vol. 84, pp. 107- 119 ,(2014) , 10.1016/J.CSR.2014.05.004
Robert L. Folk, The Distinction between Grain Size and Mineral Composition in Sedimentary-Rock Nomenclature The Journal of Geology. ,vol. 62, pp. 344- 359 ,(1954) , 10.1086/626171
A. G. Journel, Nonparametric estimation of spatial distributions Journal of the International Association for Mathematical Geology. ,vol. 15, pp. 445- 468 ,(1983) , 10.1007/BF01031292
B.W Flemming, A revised textural classification of gravel-free muddy sediments on the basis of ternary diagrams Continental Shelf Research. ,vol. 20, pp. 1125- 1137 ,(2000) , 10.1016/S0278-4343(00)00015-7
Francis P. Shepard, Nomenclature Based on Sand-silt-clay Ratios SEPM Journal of Sedimentary Research. ,vol. Vol. 24, pp. 151- 158 ,(1954) , 10.1306/D4269774-2B26-11D7-8648000102C1865D
K. Jerosch, Geostatistical mapping and spatial variability of surficial sediment types on the Beaufort Shelf based on grain size data Journal of Marine Systems. ,vol. 127, pp. 5- 13 ,(2013) , 10.1016/J.JMARSYS.2012.02.013