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- Title
Application of binary statistical model for the environmental risk assessment of metal contamination through aquatic organisms.
- Authors
Ferroudj, Soumia; Boucetta, Sabrine; Doukha, Zouina; Kharfouchi, Soumia; Aouati, Mohamed Khelil; Benchalel, Wafa
- Abstract
This study presents a statistical model that assesses pollution in aquatic ecosystems based on heavy metal concentrations (dry weight). The model uses binary logistic regression to analyze factors like species, stations, seasons, and heavy metals associated with pollution. The method constructs a binary interest factor ("polluted" and "unpolluted") based on World Health Organization standards. The results help to understand risks to human health from heavy metals in coastal areas of East-Algeria and provide a useful tool for monitoring pollution.
- Subjects
ALGERIA; ENVIRONMENTAL risk assessment; WORLD Health Organization; STATISTICAL models; HEAVY metal toxicology; HEAVY metals; WATER pollution; AQUATIC organisms
- Publication
Desalination & Water Treatment, 2023, Vol 312, p108
- ISSN
1944-3994
- Publication type
Article
- DOI
10.5004/dwt.2023.30007