Statistical modeling of daily maximum surface ozone concentrations

Estimating Ambient Ozone Effect of Kansas Rangeland Burning with Receptor Modeling and Regression Analysis

“…The regression models developed in this study demonstrated that the most valuable predictors for O 3 in the Flint Hills region include the O 3 level on the previous day, total solar radiation, difference between daily maximum and minimum air temperature, and levels of episodic fire and industrial emissions. Depending on availability of data, the predictor of difference between daily maximum and minimum air temperature may be replaced by a measure of air moisture content, since temperature is actually determined by solar radiation and air moisture content, and RH has been identified as a successful predictor in other statistical O 3 models [23]. In a practical forecasting model, O 3 level on the next day can be predicted based on current measurements of O 3 concentrations, and forecasts of weather conditions.…”

“…Multiple regression models were developed for the eight-hour daily maximum O 3 as well as the daily contributions of the five PM 2.5 source categories (S1 to S5) that were derived from receptor modeling. Sinusoidal terms were included in the regression models to describe the long term seasonal effects in addition to the daily effects of various meteorological variables as suggested in Zvyagintsev et al [23]. A persistence term was included in the O 3 modeling as suggested by the US EPA [24].…”

Ozone content over the Russian federation in the second quarter of 2010

“…At the end of the quarter, ozone concentrations began to approach the MPC, and for two days (June 25 and 26), according to the GPU Mosekomonitoring data (http://mosecom.ru), in the Zelenograd environs, during the daylight, they somewhat exceeded the MPC (up to 1.11 times as much); by the same data, at other stations located inside the Moscow Ring Road the MPC was not exceeded. The MPC was exceeded in the plume of the pollution from Moscow under conditions of a very warm weather (temperature of 28°C and higher) and a weak southeastern flow, which promote the formation of increased ozone concentrations [1,3].…”