This study focuses on the distribution of heavy metals in the Kuala Terengganu waters, which are heavily impacted by human activities because of the developing area and leading to sediment contamination. This study aimed to determine the spatial distribution of selected heavy metals such as Cu, Zn, Cd, Hg, Pb, and As in the surficial sediment. A total of 18 sediment samples were collected and analyzed using ICP-MS after acid digestion. QGIS software was utilized to create spatial distribution maps. The highest metal content was found for As, followed by Zn, Cu, Pb, Cd, and Hg. Pollution indicators such as Igeo and PLI were used to assess contamination status. Only a few cases exceed class two of Igeo. However, As demonstrated higher pollution levels fall into classes four and five. This finding can be used to evaluate risks associated with metal contamination and the impact of human activities on the aquatic environment. The correlation between heavy metals and sediment grain size is positive except for the Cd element. Overall, this research provides valuable information on the spatial distribution and contamination levels of heavy metals in the coastal waters of Kuala Terengganu, aiding in assessing environmental risks and human impact in the region.

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Spatial Distribution of Heavy Metals in Surficial Sediment Along Kuala Terengganu Waters, Malaysia

  • Wan Yasmin Humairah Wan Saari,
  • Siti A’Ishah Khairi,
  • Nur Lisa Hafizah Abdul Halil,
  • Nur Fatin Adriana Nor Husaini,
  • Nur Ashikin Wan Alias,
  • Nur Irdina Surfina Noor Mohd Hazuri,
  • Tan Yee Rou,
  • Chong Wei Ni,
  • Kamaruzzaman Yunus,
  • Meng-Chuan Ong

摘要

This study focuses on the distribution of heavy metals in the Kuala Terengganu waters, which are heavily impacted by human activities because of the developing area and leading to sediment contamination. This study aimed to determine the spatial distribution of selected heavy metals such as Cu, Zn, Cd, Hg, Pb, and As in the surficial sediment. A total of 18 sediment samples were collected and analyzed using ICP-MS after acid digestion. QGIS software was utilized to create spatial distribution maps. The highest metal content was found for As, followed by Zn, Cu, Pb, Cd, and Hg. Pollution indicators such as Igeo and PLI were used to assess contamination status. Only a few cases exceed class two of Igeo. However, As demonstrated higher pollution levels fall into classes four and five. This finding can be used to evaluate risks associated with metal contamination and the impact of human activities on the aquatic environment. The correlation between heavy metals and sediment grain size is positive except for the Cd element. Overall, this research provides valuable information on the spatial distribution and contamination levels of heavy metals in the coastal waters of Kuala Terengganu, aiding in assessing environmental risks and human impact in the region.