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Drift-diffusion analysis has been introduced in physics as a method to studyturbulent flows. In the current study, it is proposed to use the method toidentify underlying dynamical models of particulate matter smog, ozone andnitrogen dioxide concentrations. Data from Chiangmai are considered, which is amajor city in the northern part of Thailand that recently has witnessed adramatic increase of hospitalization that are assumed to be related to extremeair pollution levels. Three variants of the drift-diffusion analysis method(kernel-density, binning, linear approximation) are considered. It is shownthat all three variants explain the annual pollutant peaks during the firsthalf of the year by assuming that the parameters of the physical-chemicalevolution equations of the pollutants vary periodically throughout the year.Therefore, our analysis provides evidence that the underlying dynamical modelsof the three pollutants being considered are explicitly time-dependent.

Taking drift-diffusion analysis from the study of turbulent flows to the study of particulate matter smog and air pollutants dynamics