Modeling Ecological Risk in Bottom Sediments Using Predictive Data Analytics: Implications for Energy Systems

Modeling Ecological Risk in Bottom Sediments Using Predictive Data Analytics: Implications for Energy Systems

Sediment accumulation in dam reservoirs significantly impacts hydropower efficiency and infrastructure sustainability. Bottom sediments often contain heavy metals such as Cr, Ni, Cu, Zn, Cd, and Pb, which can pose ecological risks and affect water quality. Moreover, excessive sedimentation reduces r...

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Bibliographic Details
Main Authors: Bartosz Przysucha, Monika Kulisz, Justyna Kujawska, Michał Cioch, Adam Gawryluk, Rafał Garbacz
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Energies
Subjects:
ecological risk index (ERI)
bottom sediments
heavy metals
artificial neural network (ANN)
environmental monitoring
Online Access:https://www.mdpi.com/1996-1073/18/9/2329
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