Modeling of atmospheric air quality in the Tomsk using WRF/CAMx complex
E. A. Strebkova, Alexander V. Starchenko
Abstract
E. A. Strebkova, Alexander V. Starchenko
Abstract
The results of numerical modeling of meteorological parameters and concentrations of small components of atmospheric air Tomsk city obtained using the Weather Research & Forecasting (WRF) and Comprehensive Air quality Model with eXtensions (CAMx) models are presented. Several periods were selected when increased concentrations of pollutants were observed with the TOR-station of the IAO SB RAS to estimate the level of atmospheric air quality in the city based on numerical modeling. For these periods, the values of the Air Quality Index were calculated using the WRF/CAMx complex with using US Environment Protection Agency (EPA) recommendations. The obtained results of the numerical forecast show the possibility of the formation of a high level of air pollution under certine meteorological conditions in the city.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
The results of numerical modeling of meteorological parameters and concentrations of small components of atmospheric air Tomsk city obtained using the Weather Research & Forecasting (WRF) and Comprehensive Air quality Model with eXtensions (CAMx) models are presented. Several periods were selected when increased concentrations of pollutants were observed with the TOR-station of the IAO SB RAS to estimate the level of atmospheric air quality in the city based on numerical modeling. For these periods, the values of the Air Quality Index were calculated using the WRF/CAMx complex with using US Environment Protection Agency (EPA) recommendations. The obtained results of the numerical forecast show the possibility of the formation of a high level of air pollution under certine meteorological conditions in the city.
Key concepts: Weather Research and Forecasting Model, Air quality index, Atmospheric model, Environmental science, Meteorology, Quality (philosophy), Computer science, Geography