Anomaly threshold estimation and data normalization using EDA statistics: application to lithogeochemical exploration in lower Cretaceous Zn-Pb carbonate-hosted deposits, northern Spain

被引:20
作者
Yusta, I [1 ]
Velasco, F [1 ]
Herrero, JM [1 ]
机构
[1] Univ Basque Country, Dipartimento Mineral & Petrol, E-48080 Bilbao, Spain
关键词
D O I
10.1016/S0883-2927(97)00095-4
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
A lithogeochemical survey of Lower Cretaceous sediments (1293 samples) in the Basque-Cantabrian basin (northern Spain) was carried out in order to estimate the mean contents of major oxides and Ba. Co, Cu, Ni, Pb, Rb, S, Sr, V, Zn and Zr in different lithological subsets and to identify anomalies related with Zn-Pb carbonate-hosted mineralization. After a detailed evaluation of different anomaly recognition methods, using both real and synthetic data, the cut-off values used in the Exploratory Data Analysis (EDA) were selected as thresholds. A prior classification of the rocks (based on chemical, mineralogical and petrographical data) guarantees appropriate homogeneous (with respect to major oxides) rock-groups during the evaluation of the data. A data standardization method was developed and applied to the samples collected from the Carranza sector (n = 330). Zinc and Pb values for each sample were normalized to the particular threshold and interquartile range of their corresponding rock-type. These normalized values were plotted in geochemical maps. The results reveal the presence of Zn (up to 0.6%) and Pb (max. 1380 ppm) anomalies concentrated in carbonate facies, mainly in limestones. dolostones and dolomitic limestones. Magnesium-rich carbonates host the most significant anomalies. In the Carranza area, the great majority of outliers occur around known Zn-Pb mineral occurrences and are concentrated at the edge of the carbonate platform. In some cases fault control of the anomalies is indicated. (C) 1998 Elsevier Science Ltd. All rights reserved.
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页码:421 / 439
页数:19
相关论文
共 49 条
[1]  
[Anonymous], 1990, INT ASS SEDIMENTOL S, DOI DOI 10.1002/9781444303834.CH10
[2]   WORKSHOP-5 - GEOCHEMICAL ANOMALY RECOGNITION [J].
AUCOTT, JW .
JOURNAL OF GEOCHEMICAL EXPLORATION, 1987, 29 (1-3) :375-376
[3]   THE SEPARATION OF GEOCHEMICAL ANOMALIES FROM BACKGROUND BY FRACTAL METHODS [J].
CHENG, QM ;
AGTERBERG, FP ;
BALLANTYNE, SB .
JOURNAL OF GEOCHEMICAL EXPLORATION, 1994, 51 (02) :109-130
[4]   SPATIAL-FILTERING OF EXPLORATION GEOCHEMICAL DATA USING EDA AND ROBUST STATISTICS [J].
CHORK, CY ;
MAZZUCCHELLI, RH .
JOURNAL OF GEOCHEMICAL EXPLORATION, 1989, 34 (03) :221-243
[5]   INTERPRETING EXPLORATION GEOCHEMICAL DATA FROM OUTOKUMPU, FINLAND - A MVE-ROBUST FACTOR-ANALYSIS [J].
CHORK, CY ;
SALMINEN, R .
JOURNAL OF GEOCHEMICAL EXPLORATION, 1993, 48 (01) :1-20
[6]   DISTRIBUTION AND BEHAVIOR OF PLATINUM IN SOILS, SEDIMENTS AND WATERS OF THE TULAMEEN ULTRAMAFIC COMPLEX, SOUTHERN BRITISH-COLUMBIA, CANADA [J].
COOK, SJ ;
FLETCHER, WK .
JOURNAL OF GEOCHEMICAL EXPLORATION, 1993, 46 (03) :279-308
[7]  
De Jongh WK., 1973, Stainless steel X-ray Spectrom, V2, P151, DOI [DOI 10.1002/XRS.1300020404, 10.1002/xrs.1300020404]
[8]  
FERNANDEZMENDIO.PA, 1986, THESIS U PAIS VASCO
[9]  
Garcia-Garmilla F, 1987, THESIS U PAIS VASCO
[10]  
GARCIAMONDEJAR J, 1990, AAPG BULL, V46, P395