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首页> 外文期刊>Applied Geochemistry: Journal of the International Association of Geochemistry and Cosmochemistry >Factorial kriging with external drift: a case study on the Penedono Region, Portugal
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Factorial kriging with external drift: a case study on the Penedono Region, Portugal

机译:外部漂移的析因克里金法:以葡萄牙佩内多诺地区为例

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Factorial kriging has been used in geochemical exploration for the estimation and cartography of the spatial components of the variables, helping with the identification and interpretation of geochemical anomalies. Those spatial components appear by the decomposition of the variables in its several structural components, given by the variograms. In this paper a new form of factorial kriging is introduced, by using the geologic information as an external drift. This was achieved considering as an external variable (external drift) sample co-ordinates on the first axis resultant from a principal component analysis (PCA), interpreted as a lithological factor. With this type of geostatistical technique each point appears in the resultant maps as a combination of geochemical and geological information, attending the geographic localization of the samples. This technique was tested on a set of 2450 sediment samples collected on a 640 km(2) area, between the Tras-os-Montes e Bite Douro and the Beira Alta regions. From the 34 initial elements analyzed (10 major elements P2O5, SiO2, Al2O3 Fe2O3, MgO, CaO, Na2O, K2O, TiO2 and MnO expressed in oxide percentage and 24 elements expressed in ppm As, Bi, Ag, Sb, W, B, Cu, Pb, Zn, Sn, Nb, Li, Be, Zr, Y, La, Ba, Cd, Mo, V, Cr, Co, Ni and Sr) only the results obtained for 2 of them are presented in this work. The first was Sn, which is associated with some mineralisation in this region and the other one was Zn, which shows similar behavior in the whole area, with the exception of a small region. (C) 2001 Elsevier Science Ltd. All rights reserved. [References: 16]
机译:阶乘克里金法已用于地球化学勘探中,用于变量的空间成分的估计和制图,有助于识别和解释地球化学异常。这些空间成分是通过变量的几个结构成分中的变量分解而出现的,这些变量由方差图给出。在本文中,通过使用地质信息作为外部漂移,介绍了一种新形式的阶乘克里金法。考虑到将主成分分析(PCA)产生的第一轴上的样本坐标作为外部变量(外部漂移),可以将其视为岩性因素。使用这种类型的地统计技术,每个点都将作为地球化学和地质信息的组合出现在生成的地图中,并参与样本的地理定位。这项技术已在Tras-os-Montes e Bite Douro和Beira Alta地区之间的640 km(2)区域收集的2450个沉积物样本上进行了测试。在分析的34种初始元素中(以氧化物百分比表示的10种主要元素P2O5,SiO2,Al2O3 Fe2O3,MgO,CaO,Na2O,K2O,TiO2和MnO和24种以ppm As,Bi,Ag,Sb,W,B表示的元素, Cu,Pb,Zn,Sn,Nb,Li,Be,Zr,Y,La,Ba,Cd,Mo,V,Cr,Co,Ni和Sr)在本工作中仅介绍了其中两个的结果。第一个是锡,它与该区域的某些矿化有关,另一个是锌,除小区域外,在整个区域内表现出相似的行为。 (C)2001 Elsevier ScienceLtd。保留所有权利。 [参考:16]

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