Singularity mapping and spatially weighted principal component analysis to identify geochemical anomalies associated with Ag and Pb-Zn polymetallic mineralization in Northwest Zhejiang, China

Fan, Xueli; Chen, Jianguo; Zhang, Zhenyu; Wang, Chengbin; Guang-ming, WU; Agterberg, Frits

doi:10.1016/j.gexplo.2012.04.010

Cited by 82 publications

(12 citation statements)

References 66 publications

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“…Yuan et al (2015) added that in the junction of faults or fractures zone were the two places where mostly migration stops. The same case of using fault orientation as a reference to mineralisation was used by Xiao et al (2012), who relied on fault information for identifying and mapping geochemical anomalies linked to Ag and Pb-Zn polymetallic mineralisation. Furthermore, the concealed ore deposits are formed by hydrothermal fluids across fracture systems (Liu et al, 2004).…”

Section: Influence Of Fold and Fault Factorsmentioning

confidence: 99%

Application of geostatistical analyst methods in discovering concealed gold and pathfinder elements as geochemical anomalies related to ore mineralisation

Lindagato

Yang

et al. 2018

Geologos

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The study area in the West Junggar Basin is known to be rich in hydrothermal gold deposits and occurrences, even though there has been minimum exploration in the area. It is here hypothesised that this area could host more gold deposits if mineral exploration methods were to be reinforced. This research is aimed at identifying geochemical anomalies of Au, and determining possible factors and conditions which facilitate the formation of anomalies by referring to As and Hg as gold pathfinders. Geostatistical analyst techniques have been applied to 9,852 stream sediments and bedrock data collected on a total surface of 1,280 km2 of West Junggar, Xinjiang (northwest China). The kriging interpolation and quantile-quantile plot methods, combined with statistical methods, successfully identified both Au and its pathfinders’ anomalies. In the present study, median was considered as background values (10.2 ppm for As, 9.13 ppb for Hg and 2.5 ppb for Au), whereas the 95th percentile were threshold values (28.03 ppm for As, 16.71 ppb for Hg and 8.2 ppb for Au) and values greater than thresholds are geochemical anomalies. Moreover, the high concentrations of these three discovered elements are caused primarily by hydrothermal ore mineralisation and are found to be controlled mainly by the Hatu and Sartohay faults of a northeast-southwesterly direction as well as their related secondary faults of variable orientation, which facilitate the easy flow of hydrothermal fluids towards the surface resulting in the formation of geochemical anomalies. Most of anomalies concentration of Au are found near the mining sites, which indicates that the formation of new Au anomalies is influenced by current or previous mining sites through geological or weathering processes. In addition, the low concentration of gold and its pathfinders found far from active gold mine or faults indicates that those anomalies are formed due to primary dispersion of hosting rock.

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Section: Influence Of Fold and Fault Factorsmentioning

confidence: 99%

Application of geostatistical analyst methods in discovering concealed gold and pathfinder elements as geochemical anomalies related to ore mineralisation

Lindagato

Yang

et al. 2018

Geologos

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“…The Student's t-statistic is an useful measure in the weights of evidence (WofE) modeling approach, which not only can be used to estimate the spatial association between point patterns of prospects and evidence themes, but also to reclassify the evidence layers for optimal prediction based on spatial association analysis (Agterberg et al, 1990;Bonham-Carter, 1994;Carranza, 2004;Cheng, 2007;Zuo et al, 2009;Xiao et al, 2012Xiao et al, , 2014Zhao et al, 2012). In the WofE model, there are two important statistics that positive weight (W þ ) and negative weight (W À ) defined to estimate the spatial association between prospects (e.g.…”

Section: Students' T-statisticmentioning

confidence: 99%

“…Since the SW method based singularity mapping technique was proposed, it has been successfully proved to be a powerful tool for mineralization associated geochemical anomaly identification (e.g. Cheng, 2004Cheng, , 2007Cheng, , 2012Cheng, , 2014Chen et al, 2007;Cheng et al, 2009aCheng et al, , 2009bCheng and Agterberg, 2009;Arias et al, 2012;Zuo and Cheng, 2008;Zuo et al, 2009Xiao et al, 2012Xiao et al, , 2014 and applied in a wide range of other geo-information anomaly recongnization associated fields such as geophysical exploration Wang et al, 2013a), remote sensing (Cheng, 1999a;Neta et al, 2010), and tectonics data modeling (Wang et al, , 2013bZhao et al, 2014). However, on the one hand, the maximum window size in the SW approach, i.e.…”

Section: Introductionmentioning

confidence: 99%

A batch sliding window method for local singularity mapping and its application for geochemical anomaly identification

Fan

Chen

et al. 2016

Computers & Geosciences

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“…The concept of fractal models were initially proposed by Mandelbrot (1967) about a half century ago (Xiao et al 2012). Fractal and multi-fractal models have also been applied to separate anomalies from background.…”

Section: Introductionmentioning

confidence: 99%

Application of the singularity mapping technique to identify local anomalies by polarization data (a case study: Hamyj Copper Deposit, Iran)

Ferdows

Ramazi

2015

Acta Geod Geophys

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Separating anomalies plays a critical role on mineral exploration. In this paper, IP anomalies have been determined by concentration-area (C-A) and singularity methods. Then a comparison has been made between the methods. The singularity map (as well as fractal method) is usually applied in the geochemical exploration process; however, it has not been widely used in the geoelectrical methods so far. In this research, it has been successfully applied to utilize this method to process IP data (recognize anomaly induced polarization data in Hamyj copper deposit). Hamyj deposit is located about 80 km west of Birjand city, South Khorasan province, Iran. In this area, resistivity and induced polarization data have been surveyed by dipole-dipole array. Finally, according to the mentioned method, 67 % of the anomalies (singularity index) are confirmed by the concentration-area method which showed significant adaption with each other. Also, a suitable area is determined by a singularity map for drilling.

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Singularity mapping and spatially weighted principal component analysis to identify geochemical anomalies associated with Ag and Pb-Zn polymetallic mineralization in Northwest Zhejiang, China

Cited by 82 publications

References 66 publications

Application of geostatistical analyst methods in discovering concealed gold and pathfinder elements as geochemical anomalies related to ore mineralisation

Application of geostatistical analyst methods in discovering concealed gold and pathfinder elements as geochemical anomalies related to ore mineralisation

A batch sliding window method for local singularity mapping and its application for geochemical anomaly identification

Application of the singularity mapping technique to identify local anomalies by polarization data (a case study: Hamyj Copper Deposit, Iran)

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