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  11. A Framework For Quantifying The Size And Fractal Dimension Of Compacting Soot Particles

A Framework for Quantifying the Size and Fractal Dimension of Compacting Soot Particles

Payton Beeler1, Joel C Corbin2, Timothy A Sipkens2

  • 1Atmospheric, Climate, and Earth Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.

Environmental Science & Technology
|March 21, 2025

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View abstract on PubMed

Summary
This summary is machine-generated.

Black carbon (BC) particles change shape and size as they form coatings in the atmosphere. This study presents a new framework to accurately predict these BC particle evolution dynamics, improving climate models.

Area of Science:

  • Atmospheric Science
  • Aerosol Science
  • Climate Modeling

Background:

  • Black carbon (BC) is a major atmospheric aerosol with significant warming effects.
  • BC particles are emitted as fractal aggregates and undergo compaction upon coating.
  • Accurate representation of BC size and shape evolution is crucial for climate models but computationally challenging.

Purpose of the Study:

  • To develop a framework for predicting the size and shape of black carbon particles during compaction.
  • To link BC particle restructuring to the coating volume ratio, a parameter tracked in atmospheric models.
  • To improve the representation of BC's atmospheric lifetime and radiative properties in climate simulations.

Main Methods:

  • Combined laboratory measurements of BC compaction with detailed restructuring models.
Keywords:
black carboncompactionfractal dimensionrestructuring

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  • Developed a predictive framework based on the coating volume ratio.
  • Validated predictions against experimental data for mobility diameter and fractal dimension.

    • Main Results:

    • The framework accurately predicts the mobility diameter and fractal dimension of BC particles and their cores.
    • Root-mean-squared errors were below 6.8% for mobility diameter and 4.3% for fractal dimension.
    • The model captures BC particle evolution across a range of coating volumes.

    Conclusions:

    • The proposed framework enables a more complete representation of evolving BC size and shape.
    • This improves the accuracy of climate models at a low computational cost.
    • Facilitates better understanding of black carbon's role in climate.
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