The pervasive presence of microplastics (MPs) in natural waters presents a global threat to aquatic ecosystems and human well-being. While field monitoring is extensive, the focus has primarily been on characterizing MPs types, occurrences, and distributions, with limited attention has been made on modeling, because of the unavailability of datasets, inadequacy of the methodologies, and site-specific studies. This gap prompted to build the advocating of hybrid models that integrate hydrodynamics with process-based for categorization, transportation, and transformation, and further know the potential risks of ecological, climatic and human health so that associated risks could be mitigated. Additionally, standardizing data calibration and validation is essential to enhance the comparability of modeling results with field investigations, critical for informed decision-making in addressing the global challenge of MPs pollution. Thus, addressing this gap in understanding microplastic activities, dynamics, and their interactions within aquatic environments is pivotal in the global scientific fraternity. A new numerical framework, CaMPSim-3D, integrates a Lagrangian particle-tracking model (PTM) with a Eulerian-based hydrodynamic system (TELEMAC) is applied to simulate microplastics' fate and transport. This innovative model considers various advection schemes, revealing significant differences in predictions, with the Third Order Total Variation Diminishing (TVD3) Runge-Kutta method showing promise by providing accurate results at lower computational costs.

A novel modeling approaches to understand the fate and transport of microplastics in aquatic environment

Sadashiv Chaturvedi
Conceptualization
;
2024-01-01

Abstract

The pervasive presence of microplastics (MPs) in natural waters presents a global threat to aquatic ecosystems and human well-being. While field monitoring is extensive, the focus has primarily been on characterizing MPs types, occurrences, and distributions, with limited attention has been made on modeling, because of the unavailability of datasets, inadequacy of the methodologies, and site-specific studies. This gap prompted to build the advocating of hybrid models that integrate hydrodynamics with process-based for categorization, transportation, and transformation, and further know the potential risks of ecological, climatic and human health so that associated risks could be mitigated. Additionally, standardizing data calibration and validation is essential to enhance the comparability of modeling results with field investigations, critical for informed decision-making in addressing the global challenge of MPs pollution. Thus, addressing this gap in understanding microplastic activities, dynamics, and their interactions within aquatic environments is pivotal in the global scientific fraternity. A new numerical framework, CaMPSim-3D, integrates a Lagrangian particle-tracking model (PTM) with a Eulerian-based hydrodynamic system (TELEMAC) is applied to simulate microplastics' fate and transport. This innovative model considers various advection schemes, revealing significant differences in predictions, with the Third Order Total Variation Diminishing (TVD3) Runge-Kutta method showing promise by providing accurate results at lower computational costs.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12076/20338
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