Exploration geochemistry—Distribution of elements and recognition of anomalies

Govett, G.J.S.; Goodfellow, W D; Chapman, R. P.; Chork, C.Y.

doi:10.1007/bf02080498

Cited by 86 publications

(16 citation statements)

References 28 publications

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“…The conventional statistical methods used for geochemical anomaly separation such as probability graphs and univariate and multivariate analysis methods (Sinclair 1974(Sinclair , 1976(Sinclair , 1991Govett et al 1975;Miesch 1981;Stanley 1988;Garrett 1989;Stanley and Sinclair 1989;Cheng et al 1996) are concerned with the frequency distributions of element concentrations and relationships between multiple variables.…”

Section: Statistical Treatmentmentioning

confidence: 99%

Geochemical reconnaissance survey and environmental assessment for stream sediments of Wadi Um Gier, Southeastern Desert, Egypt

Darwish

2010

Environ Earth Sci

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The purposes of this study were to assess the influence of old mining activities on the geochemistry and quality of sediments and to identify the sites of economic elements. Thirty sites of stream sediment were sampled in the study area covered by granitic, metarhyodacitic and meta-andesitic rocks and related tuffs-hosted abandoned Au mine. The suite of chemical elements, Ag, Bi, Cd, Cu, Fe, Ga, Hg, Mn, Nb, Pb, Rb, Sb, Se, Sn, Te, Th, U, Y, Zn and Zr, pH value and total organic carbon were determined, and univariate, bivariate and multivariate statistical methods were applied. The results show that the enrichment factor (EF) is very high in the case of Te and significant also with respect to Ag, Bi, Cu, Sb, Se, Sn and Zn. Likewise, geoaccumulation indices (Igeos) varied from very highly polluted with Sn and Te, strongly to very strongly polluted with Bi and Se, and moderately polluted with Sb. The polluted sites of Ag, Bi, Sb, Se, Sn and Te were outlined using Igeos maps, and economic sites of Ag and Sn were identified by geochemical maps leading to their sources, which are likely to be mining activities and lithogenic processes. The pollutant elements may cause toxicity in stream sediments, or surface or underground water, as well as plants and animals in the area. This investigation provides an environmental baseline for future monitoring of possible human/anthropogenic, industrial and agricultural impacts on the study area and considers an attempt at re-mining Ag and Sn.

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Section: Statistical Treatmentmentioning

confidence: 99%

Geochemical reconnaissance survey and environmental assessment for stream sediments of Wadi Um Gier, Southeastern Desert, Egypt

Darwish

2010

Environ Earth Sci

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“…Cette théorie électrochimique a été proposée par de nombreux auteurs (Sato et al, 1960 ;Govett et al, 1975 ;Goldberg, 1998 ;Hamilton, 1998 Figure 1. Schéma conceptuel des facteurs pouvant influencer la géochimie des végétaux et de l'humus.…”

Section: Effet Du Substrat Géologique Sur La Géochimie Des Végétaux Eunclassified

“…Plusieurs questions entourant la migration verticale et la mobilité des ETM restent encore en questionnement dans la communauté scientifique. Plusieurs auteurs mettent de l'avant des processus de diffusion électrochimique dans la génération d'anomalie pédogéochimique (Sato et al, 1960 ;Govett et al, 1975 ;Levitski et al, 1996 ;Goldberg, 1998 ;Hamilton, 1998 ). Les auteurs travaillent sur plusieurs problématiques de la pédogéochimie d'exploration (Antropova et al, 1992 ;Mazzucchelli, 1996 ;Lintern et al, 1997 ;Mann et al, 1997 ;Hamilton, 1998 ;Cornelius et al, 2007;Chipres et al, 2008 ;Ma et al, 2009 ).…”

Section: L'utilisation De L'humus En Pédogéochimie D'exploration Minéunclassified

Utilisation des éléments traces métalliques (ETM) dans les aiguilles d'épinette noire (Picea mariana (MILL.) BSP) et dans l'humus à des fins d'identification d'une minéralisation polymétallique de la propriété Pontax, Baie-James /

Gaudreault¹

2012

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“…Also, by studying more precisely, the resulting maps can be used to structure the sampling grid for later, more coherent steps as well. [1,2] …”

Section: Introductionmentioning

confidence: 99%

Exploration Geochemistry Data-Application for Cu Anomaly Separation Based On Classical and Modern Statistical Methods in South Khorasan, Iran

Ширази¹,

Hezarkhani²,

Shirazy³

2018

IJSEA

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The polymetal mining area is located 30 kilometers northwest of Birjand, South Khorasan Province of Iran. Considering the importance of recognizing the geochemical limit value for post-analysis studies, the limit value (= non-normative visualization) in the data of the stream was identified and described using the classic and modern statistical method. Sampling method in this area was lithogeochemical samples. Simple statistical methods, K-Means, K-Medoids, Fuzzy C-Mean (FCM), Self-Organized Map (SOM), have been used in this study. Anomaly maps are depicted in each method and separated from the background. Each method showed different anomalies, but the K-Mean and K-Medoids methods had similar responses.

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Exploration geochemistry—Distribution of elements and recognition of anomalies

Cited by 86 publications

References 28 publications

Geochemical reconnaissance survey and environmental assessment for stream sediments of Wadi Um Gier, Southeastern Desert, Egypt

Geochemical reconnaissance survey and environmental assessment for stream sediments of Wadi Um Gier, Southeastern Desert, Egypt

Utilisation des éléments traces métalliques (ETM) dans les aiguilles d'épinette noire (Picea mariana (MILL.) BSP) et dans l'humus à des fins d'identification d'une minéralisation polymétallique de la propriété Pontax, Baie-James /

Exploration Geochemistry Data-Application for Cu Anomaly Separation Based On Classical and Modern Statistical Methods in South Khorasan, Iran

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