Spatiotemporal dynamics and machine learning-based risk assessment of heavy metal contamination in surface waters and Nile Tilapia in Egypt

Heavy metals are persistent pollutants that can devastate human health and ecosystems. In this study, we collected surface water and fish samples from various locations across five governorates in Egypt. We examined the spatiotemporal distribution of 13 heavy metals in the surface water and Nile til...

وصف كامل

التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	Mohamed Ali Hussein, Samir Shamma, Hani N. Sewilam, Tamer Shoeib, Anwar Abdelnaser
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	Elsevier 2025-09-01
سلاسل:	Environmental Challenges
الموضوعات:	Heavy metals Ecological risks assessment Human health risk assessment Nile tilapia Surface water Machine learning
الوصول للمادة أونلاين:	http://www.sciencedirect.com/science/article/pii/S2667010025001283
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!