Contaminant Transport Modeling in Aquatic Environments

Dear Colleagues,

Water quality is a crucial factor in the assessment of aquatic ecosystems and public health, considering biological diversity, habitat degradation, sustainable water use, and waterfront activities. Thus, the precise modeling and prediction of spatio-temporal variability in contaminant concentrations is critically important for effective water resource management.

The fate and transport of contaminants can generally be analyzed via the advection–dispersion–reaction process. In natural water bodies such as rivers and streams, however, the dispersive behavior of contaminants cannot be adequately explained using conventional advection–dispersion models due to vegetation, dead zones, and flow recirculation around structures, which delay transport and thereby induce non-Fickian mixing. Also, flow exchange at water–sediment interfaces, known as hyporheic flow, exerts significant control on non-Fickian transport. Water quality substances undergo reactions depending upon surrounding environmental conditions, leading to changes in their concentrations. Therefore, we must advance our understanding of complicated interplays between hydrogeological and biochemical factors for the accurate prediction of water quality in aquatic environments.

This Special Issue welcomes contributions related to the modeling and prediction of diverse water quality issues like harmful algal bloom, eutrophication, microplastics, suspended sediments, and accidental pollution spills with not only the development of advanced mathematical and numerical models but also machine-learning- and remote-sensing-based models.

Dr. Jun Song Kim
Dr. Dong-Kyun Kim
Dr. Donghae Baek
Guest Editors

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