Akses terbuka
Jurnal
Multivariate Risk Analysis of Echotoxic Chemicals of Ballast Water Chemicals Based on PCA and DSS Using ECOTOX GISIS Data
Maritime Park: Journal of Maritime Technology and Society
ISSN 2828-6669, 2828-7010
Terbit 2025-10-08
Penerbit Department of Ocean Engineering, Faculty of Engineering, Hasanuddin University
Bahasa en
Abstrak
This study proposes a multivariate risk classification model for ballast water treatment chemicals by integrating global datasets—ECOTOX (U.S. EPA) and GISIS (IMO). Using Principal Component Analysis (PCA), we analyze 37 substances based on acute toxicity (LC50), chronic toxicity (NOEC), and bioaccumulation potential (BCF). The aim is to provide a practical, data-driven tool to support ecological compliance, early warnings, and regulatory prioritization in maritime chemical management. Results show that 43.24% of substances fall into the high-risk category, while only 8.11% are low risk. PCA effectively reduces dimensionality, explaining 73.63% of variance with just two components. High-risk chemicals such as Dibromoacetic acid and Dichloroacetonitrile exhibit low NOEC and high BCF values—indicating significant ecotoxic potential, often underregulated. Some commonly used oxidants also reveal hidden chronic toxicity, suggesting gaps in current risk frameworks post-BWM Convention. We construct a risk-scoring matrix and chemical heatmap to visualize ecotoxic profiles, enabling real-time risk ranking and decision support. Unlike previous studies that focus solely on toxicity thresholds or narrative reviews, this approach integrates empirical data with decision logic to aid Port State Control (PSC) and IMO policy design. The method is replicable and adaptable to other maritime pollutants, especially in the ASEAN context, enhancing smart port readiness and ecological safeguarding.
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Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unhas.ac.id/index.php/maritimepark/oai, pertama di-harvest 2 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc)
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<dc:title xml:lang="en">Multivariate Risk Analysis of Echotoxic Chemicals of Ballast Water Chemicals Based on PCA and DSS Using ECOTOX GISIS Data</dc:title>
<dc:creator xml:lang="en">Setiawan, Ariyono</dc:creator>
<dc:creator xml:lang="en">Widyaningsih , Upik</dc:creator>
<dc:creator xml:lang="en">Pamungkas, Anjar</dc:creator>
<dc:creator xml:lang="en">Bin Abdul Hadi, Abdul Razak</dc:creator>
<dc:creator xml:lang="en">Dewi, Deshinta Arrova</dc:creator>
<dc:subject xml:lang="en">Ballast Water Treatment</dc:subject>
<dc:subject xml:lang="en">Bioaccumulation Risk</dc:subject>
<dc:subject xml:lang="en">Decision Support System</dc:subject>
<dc:subject xml:lang="en">Ecotoxicological Assessment</dc:subject>
<dc:subject xml:lang="en">Principal Component Analysis</dc:subject>
<dc:description xml:lang="en">This study proposes a multivariate risk classification model for ballast water treatment chemicals by integrating global datasets—ECOTOX (U.S. EPA) and GISIS (IMO). Using Principal Component Analysis (PCA), we analyze 37 substances based on acute toxicity (LC50), chronic toxicity (NOEC), and bioaccumulation potential (BCF). The aim is to provide a practical, data-driven tool to support ecological compliance, early warnings, and regulatory prioritization in maritime chemical management. Results show that 43.24% of substances fall into the high-risk category, while only 8.11% are low risk. PCA effectively reduces dimensionality, explaining 73.63% of variance with just two components. High-risk chemicals such as Dibromoacetic acid and Dichloroacetonitrile exhibit low NOEC and high BCF values—indicating significant ecotoxic potential, often underregulated. Some commonly used oxidants also reveal hidden chronic toxicity, suggesting gaps in current risk frameworks post-BWM Convention. We construct a risk-scoring matrix and chemical heatmap to visualize ecotoxic profiles, enabling real-time risk ranking and decision support. Unlike previous studies that focus solely on toxicity thresholds or narrative reviews, this approach integrates empirical data with decision logic to aid Port State Control (PSC) and IMO policy design. The method is replicable and adaptable to other maritime pollutants, especially in the ASEAN context, enhancing smart port readiness and ecological safeguarding.</dc:description>
<dc:publisher xml:lang="en">Department of Ocean Engineering, Faculty of Engineering, Hasanuddin University</dc:publisher>
<dc:date>2025-10-08</dc:date>
<dc:type>info:eu-repo/semantics/article</dc:type>
<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
<dc:format>application/pdf</dc:format>
<dc:identifier>https://journal.unhas.ac.id/index.php/maritimepark/article/view/44925</dc:identifier>
<dc:identifier>10.62012/mp.vi.44925</dc:identifier>
<dc:source xml:lang="en">Maritime Park: Journal of Maritime Technology and Society; Volume 4, Issue 3, 2025; 139-152</dc:source>
<dc:source>2828-6669</dc:source>
<dc:source>2828-7010</dc:source>
<dc:language>en</dc:language>
<dc:relation>https://journal.unhas.ac.id/index.php/maritimepark/article/view/44925/13477</dc:relation>
<dc:rights xml:lang="en">https://creativecommons.org/licenses/by/4.0</dc:rights>
</oai_dc:dc>
Sitasi dan pengindeksan
Jumlah menurut tiap indeks pada 8 Nov 2026; setiap indeks menghitung sitasi dengan cara berbeda.
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Sitasi artikel ini
APA 7
Setiawan, A., Widyaningsih, U., Pamungkas, A., Bin Abdul Hadi, A. R., & Dewi, D. A. (2025). Multivariate Risk Analysis of Echotoxic Chemicals of Ballast Water Chemicals Based on PCA and DSS Using ECOTOX GISIS Data. Maritime Park: Journal of Maritime Technology and Society, ume, 139–152. https://doi.org/10.62012/mp.vi.44925
Salin
IEEE
A. Setiawan, U. Widyaningsih, A. Pamungkas, A. R. Bin Abdul Hadi, and D. A. Dewi, “Multivariate Risk Analysis of Echotoxic Chemicals of Ballast Water Chemicals Based on PCA and DSS Using ECOTOX GISIS Data,” Maritime Park: Journal of Maritime Technology and Society, vol. ume, pp. 139–152, 2025, doi: 10.62012/mp.vi.44925.
Salin
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