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  5. Contamination and pollution assessment of heavy metal in Kuala Perlis sediment phase: a statistical analysis approach
 
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Contamination and pollution assessment of heavy metal in Kuala Perlis sediment phase: a statistical analysis approach

Journal
Applied Mathematics and Computational Intelligence (AMCI)
ISSN
2289-1323
Date Issued
2018-12
Author(s)
Arina Azmina Ahmad Zubir
Universiti Malaysia Perlis
Farah Naemah Mohd Saad
Universiti Malaysia Perlis
Handle (URI)
https://ejournal.unimap.edu.my/
https://ejournal.unimap.edu.my/index.php/amci/article/view/100/71
https://hdl.handle.net/20.500.14170/1571
Abstract
A study on heavy metals pollution in sediment of Kuala Perlis was done which four types of heavy metals that are identified in the coastal area. The presence of Cr, Pb, Zn and Cu are resulted from the anthropogenic activities occurs in the land use of Kuala Perlis. Samples were collected with different depth phase (subsurface, 1ft, 2ft and 3ft) at five different points (A,B,C,D and E) based on the different land use activities. The distribution concentrations of Cr, Pb, Zn and Cu in each point were analyzed by using descriptive analysis. Based on the analysis Pb gives the highest in mean concentration compared to others in all points. The relation of metals concentration and the sediment characteristics were analyzed by Pearson correlation analysis. The correlation analysis shows the positive correlation among the metals with percentage of silt and clay and negative correlation among the metals with the sediment pH. The sediment pollution assessments were investigated by using contamination indices such as Enrichment Factor (EF), Geo-accumulation Index (Igeo), Contamination Factor (CF) and Pollution Load Index (PLI). Among the four metals tested Pb gives the highest value of EF, Igeo and CF in sediments collected from each sampling points meanwhile point A gives the highest PLI value. Based on the terminologies, since the PLI value <1 so, the sediment in Kuala Perlis coastal area are considered as unpolluted sediment.
Subjects
  • Heavy metals

  • Sediment

  • Descriptive analysis

  • Pearson correlation

  • Contamination indices...

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Contamination and pollution assessment of heavy metal.pdf (1.33 MB)
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Nov 19, 2024
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