APPLICATION OF MULTIVARIATE STATISTICAL METHODS AND ENVIRONMENTAL POLLUTION INDICES IN EVALUATION OF DISTRIBUTION OF HEAVY METALS

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SHAMSADIN HASHEM; JALALI VAHIDREZA; JAFARI AZAM

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Journal: JOURNAL OF WATER AND SOIL RESOURCES CONSERVATION Year:2015 | Volume:4 | Issue:3 Page(s): 65-76

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Title

APPLICATION OF MULTIVARIATE STATISTICAL METHODS AND ENVIRONMENTAL POLLUTION INDICES IN EVALUATION OF DISTRIBUTION OF HEAVY METALS

Author(s)

SHAMSADIN HASHEM | JALALI VAHIDREZA | JAFARI AZAM | Issue Writer Certificate

Keywords

ENVIRONMENTAL INDICATORSQ2

HEAVY METALSQ2

MULTIVARIATE STATISTICALQ2

SARCHESHMEH COPPER COMPLEXESQ1

Abstract

Multivariate statistical techniques, i.e., correlation coefficient analysis, principal components analysis (PCA), and hierarchical cluster analysis (CA), were applied to the total concentrations of hazardous metals in soils around the Sarcheshmeh mine, that it is one of the largest Oligo-Miocene porphyry copper deposits in the world. For the study, 100 surface soil samples were collected around the mining and processing complex. The total concentration of HEAVY METALS was measured by using four acid digestion and inductively coupled plasma (ICP-OES). Various indices including geo-accumulation index (Igeo) and enrichment factor (CF) were used for determining the contamination level of soil in the study area. Based on geo-accumulation index (Igeo), major and minor hazardous element in the region was Cd and Zn, respectively. Enrichment factor (CF) has revealed that the main soil pollutant was Cd element and the minimum soil pollutant in region was induced from Co. The results obtained from the application of multivariate techniques on the soil data set showed that there is positively correlation between the elements such as Pb, Zn, Cd, Cu, Co, Fe and Mn in the study area. Also, there was a strong relationship among these elements based on the PCA and CA classification.

Cites

ASSESSMENT OF GEOCHEMICAL AND DISTRIBUTION OF HEAVY METALS PB, CU, ZN AND NI IN THE ARAS FREE TRADE-INDUSTRIAL ZONE

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APA: Copy

SHAMSADIN, HASHEM, JALALI, VAHIDREZA, & JAFARI, AZAM. (2015). APPLICATION OF MULTIVARIATE STATISTICAL METHODS AND ENVIRONMENTAL POLLUTION INDICES IN EVALUATION OF DISTRIBUTION OF HEAVY METALS. JOURNAL OF WATER AND SOIL RESOURCES CONSERVATION, 4(3), 65-76. SID. https://sid.ir/paper/232130/en

Vancouver: Copy

SHAMSADIN HASHEM, JALALI VAHIDREZA, JAFARI AZAM. APPLICATION OF MULTIVARIATE STATISTICAL METHODS AND ENVIRONMENTAL POLLUTION INDICES IN EVALUATION OF DISTRIBUTION OF HEAVY METALS. JOURNAL OF WATER AND SOIL RESOURCES CONSERVATION[Internet]. 2015;4(3):65-76. Available from: https://sid.ir/paper/232130/en

IEEE: Copy

HASHEM SHAMSADIN, VAHIDREZA JALALI, and AZAM JAFARI, “APPLICATION OF MULTIVARIATE STATISTICAL METHODS AND ENVIRONMENTAL POLLUTION INDICES IN EVALUATION OF DISTRIBUTION OF HEAVY METALS,” JOURNAL OF WATER AND SOIL RESOURCES CONSERVATION, vol. 4, no. 3, pp. 65–76, 2015, [Online]. Available: https://sid.ir/paper/232130/en

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