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Application of geoaccumulation index and enrichment factors on the assessment of heavy metal pollution in the sediments

Overview of attention for article published in Journal of Environmental Science and Health Part A, January 2013
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Title
Application of geoaccumulation index and enrichment factors on the assessment of heavy metal pollution in the sediments
Published in
Journal of Environmental Science and Health Part A, January 2013
DOI 10.1080/10934529.2012.717810
Pubmed ID
Authors

Nur Aliaa Shafie, Ahmad Zaharin Aris, Mohamad Pauzi Zakaria, Hazzeman Haris, Wan Ying Lim, Noorain Mohd Isa

Abstract

An investigative study was carried out in Langat River to determine the heavy metal pollution in the sediment with 22 sampling stations selected for the collection of sediment samples. The sediment samples were digested and analyzed for extractable metal ((48)Cd, (29)Cu, (30)Zn, (33)As, (82)Pb) using the Inductively Coupled Plasma-Mass Spectrometry (ICP-MS). Parameters, such as pH, Eh, electrical conductivity (EC), salinity, cation exchange capacity (CEC) and loss on ignition (LOI) were also determined. The assessment of heavy metal pollution was derived using the enrichment factors (EF) and geoaccumulation index (I(geo)). This study revealed that the sediment is predominantly by As > Cd > Pb > Zn > Cu. As recorded the highest EF value at 187.45 followed by Cd (100.59), Pb (20.32), Zn (12.42) and Cu (3.46). This is similar to the I(geo), which indicates that the highest level goes to As (2.2), exhibits moderately polluted. Meanwhile, Cd recorded 1.8 and Pb (0.23), which illustrates that both of these elements vary from unpolluted to moderately polluted. The Cu and Zn levels are below 0, which demonstrates background concentrations. The findings are expected to update the current status of the heavy metal pollution as well as creating awareness concerning the security of the river water as a drinking water source.

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The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 1%
France 1 1%
Unknown 92 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 19%
Student > Master 16 17%
Student > Bachelor 12 13%
Researcher 10 11%
Lecturer 4 4%
Other 18 19%
Unknown 16 17%
Readers by discipline Count As %
Environmental Science 31 33%
Agricultural and Biological Sciences 11 12%
Chemistry 10 11%
Earth and Planetary Sciences 10 11%
Engineering 3 3%
Other 9 10%
Unknown 20 21%