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Microparticle dynamics in upper-ocean turbulence: Dataset for analysis, modeling & prediction.

Federico Pizzi1, Mona Rahmani2, Joan Grau1

  • 1Department of Fluid Mechanics, Universitat Politècnica de Catalunya · BarcelonaTech (UPC), Barcelona 08019, Spain.

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This study introduces a new dataset on microplastic and biogenic particle dynamics in ocean turbulence. It aids in understanding marine pollution and developing solutions for cleaner water systems.

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Area of Science:

  • Environmental Science
  • Fluid Dynamics
  • Oceanography

Background:

  • Plastic particle pollution poses a significant threat to marine ecosystems.
  • Understanding particle dynamics in ocean turbulence is crucial for mitigation strategies.

Purpose of the Study:

  • To present a comprehensive dataset on microplastic and biogenic particle behavior in ocean turbulence.
  • To explore the interplay between fluid flow physics and biofilm effects on particle dynamics.

Main Methods:

  • Nine point-particle direct numerical simulations (DNS) of fluid flow were conducted.
  • Simulations featured microplastic and biogenic debris in a turbulent, three-dimensional flow domain.
  • Turbulence intensity and microparticle properties mimicked upper-ocean conditions.

Main Results:

  • The dataset captures the complex interactions within particle-laden turbulence.
  • It provides insights into the influence of biofilm stickiness on particle aggregation.
  • Data represents realistic upper-ocean layer conditions for microplastics.

Conclusions:

  • The openly accessible dataset facilitates research into marine microplastic distribution and aggregation.
  • It supports the development of models and predictions for safeguarding marine environments.
  • This resource is vital for advancing technological solutions to ocean pollution.