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Heavy Metal Contamination and Potential Ecological Risk Assessment in the Sediment of Shijing River in Guangzhou

Jianjun Chen

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Abstract

The content of six heavy metals including Cd,As,Cu,Pb,Cr and Zn in the sediment of Shijing River was detected.By using single factor index method and Hakanson's ecological risk index method,six heavy metals in the sediment samples were analyzed and their pollution degree and potential ecological risk were evaluated.The results showed that the prominent pollution factor of Shijing River was Cu and the potential ecological risk was moderate.And the ecological risk degree of each pollution element in order was as follows: CdCuAsPbCrZn.

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What this paper is about

The content of six heavy metals including Cd,As,Cu,Pb,Cr and Zn in the sediment of Shijing River was detected.By using single factor index method and Hakanson's ecological risk index method,six heavy metals in the sediment samples were analyzed and their pollution degree and potential ecological risk were evaluated.The results showed that the prominent pollution factor of Shijing River was Cu and the potential ecological risk was moderate.And the ecological risk degree of each pollution element in order was as follows: CdCuAsPbCrZn.

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Available abstract

The content of six heavy metals including Cd,As,Cu,Pb,Cr and Zn in the sediment of Shijing River was detected.By using single factor index method and Hakanson's ecological risk index method,six heavy metals in the sediment samples were analyzed and their pollution degree and potential ecological risk were evaluated.The results showed that the prominent pollution factor of Shijing River was Cu and the potential ecological risk was moderate.And the ecological risk degree of each pollution element in order was as follows: CdCuAsPbCrZn.

Key concepts: Sediment, Pollution, Heavy metals, Environmental science, Contamination, Environmental chemistry, Ecology, Chemistry

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Heavy Metal Contamination and Potential Ecological Risk Assessment in the Sediment of Shijing River in Guangzhou — Research Paper | ScholarLens