By using the method of information visualization,analyzing the problems and causes of air pollution,monitoring the development trend of air pollution,analyzing the regional correlation of air pollution and the time-varying law of air pollution,can effectively promote the work of preventing and controlling air pollution.The air quality data is preprocessed in this paper,which leads to the sorting out of the analysis tasks for air pollution prevention and control.Correlation analysis,cluster analysis,and other algorithms,along with a variety of information visualization methods,are utilized to carry out several analyses.These include the analysis of pollutant situations,the characteristics of pollutant time series,the characteristics of pollutant spatial distribution,the pollutant situations in administrative re-gions,and the causes of pollution.Finally,through the development of visual analysis system for inter-active visual analysis of different pollutants,conclusions such as the spatial distribution law of air pol-lution,time-varying characteristics,the degree of influence by policies and the correlation degree of gross domestic product(GDP)are obtained.The experiment shows that,using this proposed algorithm,the time-varying law of national air pollution can be quickly perceived by users,and the auxiliary deci-sion-making support is provided for staff to formulate prevention and control strategies tailored to local conditions.
air qualitycorrelation analysisspatiotemporal characteristicsvisibility analysis
国家科技期刊平台
NSTL
万方数据
