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Inverted stochastic lattice Boltzmann-Lagrangian model for identifying indoor particulate pollutant sources

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Abstract

This paper studies the inverted stochastic lattice Boltzmann-Lagrangian approach for identifying indoor particulate pollutant sources. The dynamics of the fluid (indoor air) as well as the transport of the particles in the Eulerian description are solved using the lattice Boltzmann method. The particles regard as rigid bodies, and the data interactions between lattice fluid and particle movement are implemented by calculating for interaction force and void fraction. Particle-wall collision process is based on the softball model which describes the dynamic characteristics of particles in microscopic state. The results are shown that the particle forward and inverted drifting paths and its mechanisms are investigated clearly than previous methods. Indoor particulate pollutant sources can exactly identify with this approach. This research can offer theoretical relevance to the modeling of multi-phase particle fluid.

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Acknowledgements

The authors would like to thank the anonymous reviewers for their careful review and helpful comments.

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  1. Energy Department, Information Science Research Group, Toronto, Canada

    **ghong Qin

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  1. **ghong Qin
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Correspondence to **ghong Qin.

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The study was approved by the institutional review board (CWO) of Information Science Research Group, Canada. All data is legal.

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Communicated by Song Fu.

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Qin, J. Inverted stochastic lattice Boltzmann-Lagrangian model for identifying indoor particulate pollutant sources. Theor. Comput. Fluid Dyn. 37, 755–765 (2023). https://doi.org/10.1007/s00162-023-00675-w

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