中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
GEMAS: Spatial analysis of the Ni distribution on a continental-scale using digital image processing techniques on European agricultural soil data

文献类型:期刊论文

作者Gyozo Jordan;  Attila Petrik;  BenedettoDe Vivo;  Stefano Albanese;  Alecos Demetriades;  Martiya Sadeghi;  The GEMAS Project Team
刊名Jorunal of Geochemical Exploration
出版日期2018
卷号186页码:143-157
关键词Univariate Statistics numerical Differential Calculation spatial Pattern lineament Analysis lithology Soil Parent Material
英文摘要

This study demonstrates the use of digital image processing for the spatial pattern recognition and characterisation of Ni concentrations in topsoil in Europe. Moving average smoothing was applied to the TIN-interpolated grid model to suppress small irregularities. Digital image processing was applied then to the grid. Several NE-SW, E-W and NW-SE oriented features were revealed at the continental scale. The dominant NE-SW linear features follow the Variscan and Alpine orogenies. The highest variability zones are in the Alps and the Balkans where mafic and ultramafic rocks outcrop. A single major E-W oriented north-facing feature runs along the last continental glaciation zone. This zone also coincides with a series of local maxima in Ni concentration along the glaciofluvial deposits. The NW-SE elongated features are located in the Pyrenees, northern Italy, Hellas and Fennoscandia. This study demonstrates the advantages of digital image processing analysis in identifying and characterising spatial geochemical patterns unseen before on conventional colour-surface maps.

语种英语
源URL[http://ir.gyig.ac.cn/handle/42920512-1/8679]  
专题地球化学研究所_环境地球化学国家重点实验室
作者单位1.Geological Survey of Sweden, Uppsala, Sweden
2.Institute of Geology and Mineral Exploration, Hellas
3.Dipartimento di Scienze della Terra Università di Napoli Federico II, Via Cintia snc., 80126 Naples, Italy
4.State Key Laboratory for Environmental Geochemistry, China Academy of Sciences, 550081, 99 Linchengxi Road, Guiyang, Guizhou, China
5.Department of Applied Chemistry, Szent István University, Villányi út 35-43, 1118 Budapest, Hungary
推荐引用方式
GB/T 7714
Gyozo Jordan;Attila Petrik;BenedettoDe Vivo;Stefano Albanese;Alecos Demetriades;Martiya Sadeghi;The GEMAS Project Team. GEMAS: Spatial analysis of the Ni distribution on a continental-scale using digital image processing techniques on European agricultural soil data[J]. Jorunal of Geochemical Exploration,2018,186:143-157.
APA Gyozo Jordan;Attila Petrik;BenedettoDe Vivo;Stefano Albanese;Alecos Demetriades;Martiya Sadeghi;The GEMAS Project Team.(2018).GEMAS: Spatial analysis of the Ni distribution on a continental-scale using digital image processing techniques on European agricultural soil data.Jorunal of Geochemical Exploration,186,143-157.
MLA Gyozo Jordan;Attila Petrik;BenedettoDe Vivo;Stefano Albanese;Alecos Demetriades;Martiya Sadeghi;The GEMAS Project Team."GEMAS: Spatial analysis of the Ni distribution on a continental-scale using digital image processing techniques on European agricultural soil data".Jorunal of Geochemical Exploration 186(2018):143-157.

入库方式: OAI收割

来源:地球化学研究所

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