سامانه مدیریت نشریات علمی دانشگاه صنعتی شاهرود

Ya’la, Zakirah, Dewi, Triyani, Husni, Ali, Santoso, Tri, Ndobe, Samliok, Rosyida, Eka, Maemunah, Maemunah, Mappatoba, Marhawati, Nurdin, Muhammad. (1404). Assessment of Heavy Metal Contaminations in Coastal Sediments due to Nickel Mining Activities in Morowali Regency, Central Sulawesi, Indonesia. , 16(4), 1359-1373. doi: 10.22044/jme.2025.15876.3056
Zakirah Raihani Ya’la; Triyani Dewi; Ali Husni; Tri Joko Santoso; Samliok Ndobe; Eka Rosyida; Maemunah Maemunah; Marhawati Mappatoba; Muhammad Saleh Nurdin. "Assessment of Heavy Metal Contaminations in Coastal Sediments due to Nickel Mining Activities in Morowali Regency, Central Sulawesi, Indonesia". , 16, 4, 1404, 1359-1373. doi: 10.22044/jme.2025.15876.3056
Ya’la, Zakirah, Dewi, Triyani, Husni, Ali, Santoso, Tri, Ndobe, Samliok, Rosyida, Eka, Maemunah, Maemunah, Mappatoba, Marhawati, Nurdin, Muhammad. (1404). 'Assessment of Heavy Metal Contaminations in Coastal Sediments due to Nickel Mining Activities in Morowali Regency, Central Sulawesi, Indonesia', , 16(4), pp. 1359-1373. doi: 10.22044/jme.2025.15876.3056
Ya’la, Zakirah, Dewi, Triyani, Husni, Ali, Santoso, Tri, Ndobe, Samliok, Rosyida, Eka, Maemunah, Maemunah, Mappatoba, Marhawati, Nurdin, Muhammad. Assessment of Heavy Metal Contaminations in Coastal Sediments due to Nickel Mining Activities in Morowali Regency, Central Sulawesi, Indonesia. , 1404; 16(4): 1359-1373. doi: 10.22044/jme.2025.15876.3056

Assessment of Heavy Metal Contaminations in Coastal Sediments due to Nickel Mining Activities in Morowali Regency, Central Sulawesi, Indonesia

Journal of Mining and Environment
مقاله 12، دوره 16، شماره 4، مهر و آبان 2025، صفحه 1359-1373    اصل مقاله (2.43 M)
نوع مقاله: Original Research Paper
شناسه دیجیتال (DOI): 10.22044/jme.2025.15876.3056
نویسندگان
Zakirah Raihani Ya’la1؛ Triyani Dewi* 2؛ Ali Husni2؛ Tri Joko Santoso2؛ Samliok Ndobe3؛ Eka Rosyida3؛ Maemunah Maemunah4؛ Marhawati Mappatoba4؛ Muhammad Saleh Nurdin5
1Department of Marine Affairs, Faculty of Animal Husbandry and Fisheries, Tadulako University, Palu 94118, Central Sulawesi, Indonesia
2Research Organization for Agriculture and Food, National Research and Innovation Agency, Bogor 16915, West Java, Indonesia
3Aquaculture Study Program, Faculty of Animal Husbandry and Fisheries, Tadulako University, Palu 94118, Central Sulawesi, Indonesia
4Faculty of Agriculture, Tadulako University, Palu 94118, Central Sulawesi, Indonesia
5Aquatic Resources, Faculty of Animal Husbandry and Fisheries, Tadulako University, Palu 94118, Central Sulawesi, Indonesia
چکیده
This study was conducted to determine heavy metal concentrations in sediments, assess the level of contamination using a contamination index, and identify potential sources of heavy metal contamination using multivariate analysis. This study employed contamination indices to evaluate sediment pollution levels. Heavy metal concentrations were analyzed statistically by determining the minimum, maximum, mean, and standard deviation (SD) values. According to the contamination factor (Cf), Cd showed very high contamination levels, whereas Sn, Ni, and Pb indicated moderate contamination. Hg, As, Cr, and Cu were classified as having low levels of contamination. The degree of contamination (Cdeg) ranged from low to high across the sampled sites, reflecting the varied levels of pollution severity. Multivariate statistical analyses, including Principal Component Analysis (PCA), Pearson correlation matrix, and Cluster Analysis (CA), were used to identify potential sources of heavy metal contamination. Cu, Sn, Ni, Hg, and Cr are attributed to natural geological processes, whereas Pb, Cd, and As are linked to anthropogenic activities, likely originating from the nickel mining industry. In conclusion, this study underscores the complex environmental impact of nickel mining in Morowali, highlighting the need for stringent environmental management practices to mitigate further degradation and safeguard the coastal ecosystems in Central Sulawesi.
کلیدواژه‌ها
contamination index؛ heavy metals؛ multivariate analysis؛ nickel mining؛ sediment
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