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Quantification of floating riverine macro-debris transport using an image processing approach.

Tomoya Kataoka1, Yasuo Nihei2

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A new algorithm accurately quantifies floating river debris, estimating plastic mass flux. This method is crucial for understanding and managing riverine plastic pollution.

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Area of Science:

  • Environmental Science
  • Hydrology
  • Remote Sensing

Background:

  • Riverine macro-debris, particularly plastics, poses a significant environmental threat.
  • Accurate quantification of floating debris transport is essential for effective pollution management.

Purpose of the Study:

  • To develop and validate a novel algorithm for quantifying floating macro-debris transport on river surfaces.
  • To enable estimation of riverine plastic mass flux for targeted mitigation strategies.

Main Methods:

  • Utilized CIELuv colour space for debris-water difference imaging.
  • Implemented template matching for debris pixel detection and area flux calculation.
  • Correlated calculated area fluxes with measured mass fluxes and flood flow rates.

Main Results:

  • The algorithm accurately detected debris pixels, consistent with visual observations.
  • Calculated area fluxes showed significant correlation with measured mass fluxes.
  • Estimated mass fluxes were significantly related to flood rising stage flow rates.

Conclusions:

  • The developed algorithm provides a reliable method for quantifying floating macro-debris and plastic mass flux in rivers.
  • This tool is vital for developing effective countermeasures against riverine plastic pollution.
  • The findings contribute to a better understanding of global riverine macro-plastic transport dynamics.