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Microplastics in the Ottawa River: Numerical Modeling for Identifying Accumulation Zones

  • 2025
  • OriginalPaper
  • Chapter
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Abstract

This study focuses on the pressing issue of microplastic pollution in the Ottawa River, utilizing advanced numerical modeling techniques to identify key accumulation zones. The research employs a novel Eulerian–Lagrangian method, integrating a 3D hydrodynamic model (TELEMAC3D) with a particle tracking model (CaMPSim-3D) to simulate microplastic trajectories. An unsupervised machine learning clustering algorithm, OPTICS, is used to pinpoint accumulation zones based on particle tracking results. The study highlights the significant environmental impact of microplastics, particularly in urban areas like Ottawa/Gatineau, where reduced flow velocities contribute to higher concentrations. The results reveal that 39.15% of microplastics remain in the river, primarily due to sedimentation and trapping in dead zones. The OPTICS algorithm identifies 27 accumulation zones, with the highest concentrations found in the Ottawa/Gatineau urban area. This comprehensive approach offers valuable insights into microplastic transport and accumulation, aiding in the development of effective mitigation strategies. The study concludes by emphasizing the importance of understanding microplastic dynamics for informed decision-making and environmental protection.

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Title
Microplastics in the Ottawa River: Numerical Modeling for Identifying Accumulation Zones
Authors
Ruijie Chen
Abolghasem Pilechi
Abdolmajid Mohammadian
Mohammad Ghazizadeh
Copyright Year
2025
DOI
https://doi.org/10.1007/978-3-031-97693-3_11
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