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

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.

Automated summary

This paper investigates the inverted stochastic lattice Boltzmann-Lagrangian approach for identifying indoor particulate pollutant sources. The dynamics of indoor air and the transport of particles are solved using the lattice Boltzmann method, while the interaction between lattice fluid and particle movement is calculated through interaction force and void fraction. Based on the softball model, the particle-wall collision process is described to understand the dynamic characteristics of the particles. The results demonstrate that this approach provides a clear understanding of particle paths and mechanism, enabling the accurate identification of indoor particulate pollutant sources. This research contributes to the theoretical modeling of multi-phase particle fluids.