Random-walk model simulation of air pollutant dispersion in atmospheric boundary layer in China

Abstract

In this study, the land-sea breeze circulation model coupled with a random-walk model is developed by the analysis of the formation and the mechanism of the land-sea breeze. Based on the data of the land-sea circulation in Dalian, China, the model simulated the diurnal variation of pressure, flow, temperature, and turbulent kinetic energy field and also provides a basis for solving the air pollutant concentration in the land-sea breeze circulation so as to estimate the economic cost attributable to the atmospheric pollution. The air pollutant concentration in the background of land-sea circulation is also simulated by a Gaussian dispersion model, and the results revealed that the land-sea circulation model coupled with the random-walk model gives a reasonable description of air pollutant dispersion in coastal areas.

Ultrafusion: Optimal Fuzzy Fusion in Land-Cover Segmentation Using Multiple Panchromatic Satellite Images

“…The intricate nature of atmospheric modeling is reflected in the diversity of models introduced, each demonstrating variations due to the multifaceted considerations involved. Several examples of such models encompass Random Walk modeling [46,47], the utilization of Poisson distribution [48], the application of the Spherically Invariant Random Process [49], and the incorporation of the Rayleigh distribution [50]. In summary, it can be inferred that the complexities associated with atmospheric effects have not been comprehensively modeled.…”

Experiment and simulation research on abrasive water jet nozzle wear behavior and anti-wear structural improvement

“…The group number of the abrasive particle release sources in the simulation is much greater than the actual one, so 200 abrasive jet sources are sufficient. To further confirm the [33,34]. In addition to the random walk model, the particle cloud model can also be used to predict the dispersion of particles due to turbulence in the fluid phase.…”

Diffusion of the Air Pollutants Based on Random Walk

“…The model can also be applied in some real cases to approximate the dispersion of air pollutants. For example, in the case of estimating the concentration of the pollutant particles in the atmospheric boundary layer in China [12], Peng and his team set up a random walk model and used the model to do the calculation. They took the field experiment and collected the data at the level of 4000 m and height of 75 m. The result they gathered from the experiment is shown in Fig.…”

“…This can show that the result of the 2-dimensional random walk model `set up is accurate. In the researcher's article, they not only use the 2-dimensional random walk model but also the Gaussian model [12]. In order to use the Gaussian model, they checked the atmospheric boundary since different atmospheric boundary layers can have different calculation results [12].…”

“…In the researcher's article, they not only use the 2-dimensional random walk model but also the Gaussian model [12]. In order to use the Gaussian model, they checked the atmospheric boundary since different atmospheric boundary layers can have different calculation results [12]. As for the result of the Gaussian model shown on the figure above, the spherical symmetry is more obvious.…”