Abstract:

Using the monitoring data of 34 air negative oxygenion stations and Moderate Resolution Imaging Spectroradiometer vegetation index product data of 13 counties in the western and southern mountainous areas of Henan Province, correlation analysis and random forest regression model were used to analyze the main meteorological and environmental factors affecting the concentration of negative oxygenion in these areas to establish a negative oxygenion concentration forecasting model. Results showed that temperature and relative humidity were the main meteorological factors affecting the diurnal variation of negative oxygenion concentration, concentration of PM_2.5, PM₁₀ and vegetation coverage were the main environmental factors.By establishing the negative oxygen ion concentration forecasting model, the quantification of negative oxygen ion prediction was realized. This study provides reference for regional air quality evaluation.

Key words: negative oxygenion, meteorological factor, environmental factor, forecast model