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Heavy Metal Pollution and Potential Ecological Risk Assessment in a Typical Mariculture Area in Western Guangdong

Author

Listed:
  • Ning He

    (School of Life Science and Resources Environment, Yichun University, Yichun 336000, China
    These authors contributed equally to this work.)

  • Lanzhou Liu

    (School of Life Science and Resources Environment, Yichun University, Yichun 336000, China
    School of Ecology and Environment, Inner Mongolia University, Huhhot 010021, China
    These authors contributed equally to this work.)

  • Ren Wei

    (School of Life Science and Resources Environment, Yichun University, Yichun 336000, China)

  • Kaifeng Sun

    (South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, China)

Abstract

The distribution characteristics, environmental contamination states, and potential ecological risks of chromium (Cr), copper (Cu), arsenic (As), lead (Pb), and cadmium (Cd) in seawater, sediment and breeding feed were studied in a typical mariculture area in western Guangdong of China. Pearson correlation analysis was used to determine metal homology, and the single-factor index, potential ecological risk index, hazard quotient (HQ), and joint probability curve (JPC) were used to evaluate pollution states and ecological risk of metals. Four main statements can be concluded from the results: (1) Pb and Cu showed a similar distribution pattern in the seawater and sediment and their contents in the breeding wastewater exceeded the standard limits in several stations. (2) Cr, Cu, and As have similar sources in the feeds, which may be an important source of metals in water. (3) The risk assessment revealed that the sediment from the studied areas was at a low ecological risk of heavy metal, whereas, water in the pond and outfall was slightly polluted by Pb, and water in the cages and outfall were slightly polluted by Cu. (4) Both the hazard quotient (HQ) and joint probability curve showed the overall risk probabilities (ORPs) in the waters ranked as Cu > Cr > Pb > Cd > As. Although Pb and Cd had HQ values greater than 1, their ORPs were acceptable. This study highlights that multiple evaluation models are more reliable than the single ecological risk assessment for evaluating heavy metal pollution risks in the mariculture area.

Suggested Citation

  • Ning He & Lanzhou Liu & Ren Wei & Kaifeng Sun, 2021. "Heavy Metal Pollution and Potential Ecological Risk Assessment in a Typical Mariculture Area in Western Guangdong," IJERPH, MDPI, vol. 18(21), pages 1-13, October.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:21:p:11245-:d:665136
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    References listed on IDEAS

    as
    1. Fajin Chen & Jing Lin & Bihua Qian & Zhai Wu & Peng Huang & Kai Chen & Tianyao Li & Minggang Cai, 2018. "Geochemical Assessment and Spatial Analysis of Heavy Metals in the Surface Sediments in the Eastern Beibu Gulf: A Reflection on the Industrial Development of the South China Coast," IJERPH, MDPI, vol. 15(3), pages 1-12, March.
    2. Xia Li & Wanqing Chi & Hua Tian & Yongqiang Zhang & Zichen Zhu, 2019. "Probabilistic ecological risk assessment of heavy metals in western Laizhou Bay, Shandong Province, China," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-16, March.
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    Cited by:

    1. Jaskaran Kaur & Sartaj Ahmad Bhat & Navdeep Singh & Sandip Singh Bhatti & Varinder Kaur & Jatinder Kaur Katnoria, 2022. "Assessment of the Heavy Metal Contamination of Roadside Soils Alongside Buddha Nullah, Ludhiana, (Punjab) India," IJERPH, MDPI, vol. 19(3), pages 1-24, January.
    2. Shuncun Zhang & Bo Chen & Junru Du & Tao Wang & Haixin Shi & Feng Wang, 2022. "Distribution, Assessment, and Source of Heavy Metals in Sediments of the Qinjiang River, China," IJERPH, MDPI, vol. 19(15), pages 1-17, July.
    3. Shaochen Yang & Kaifeng Sun & Jinling Liu & Nan Wei & Xing Zhao, 2022. "Comparison of Pollution Levels, Biomagnification Capacity, and Risk Assessments of Heavy Metals in Nearshore and Offshore Regions of the South China Sea," IJERPH, MDPI, vol. 19(19), pages 1-15, September.

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