Assessing the Presence of Metals in Surface Waters: A Case Study Conducted in Algeria Using a Combination of Artificial Neural Networks and Multiple Indices

Elevated concentrations of heavy metals in wetlands can contaminate surface water, posing hazards to human health and ecological balance. Given increasing urbanization and activities in places like Algeria, it is crucial to closely monitor and effectively control heavy metal pollution in surface wat...

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Veröffentlicht in:	Journal of water chemistry and technology 2024-12, Vol.46 (6), p.624-635
Hauptverfasser:	Hadjer Keria, Zoubiri, Asma, Bensaci, Ettayib, Said, Zineb Ben Si, Guelil, Abdelhamid
Format:	Artikel
Sprache:	eng
Schlagworte:	Aquatic Pollution Artificial neural networks Components Contamination Earth and Environmental Science Ecological balance Ecology Environment Environmental management Error analysis Hazard assessment Hazard identification Health hazards Heavy metals Industrial Chemistry/Chemical Engineering Metal concentrations Metals Natural Waters Neural networks Pollution Pollution control Pollution index Pollution levels Principal components analysis Public health Surface water Urbanization Waste Water Technology Water analysis Water Industry/Water Technologies Water Management Water pollution Water Pollution Control Water Quality/Water Pollution Water sampling
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