大气污染态势多维度可视分析方法

Multi-dimension Visual Analysis Method of Air Pollution Situation

运用信息可视化的方法,分析大气污染问题及成因、监测大气污染发展趋势、剖析大气污染的地域相关性和大气污染的时变规律,能更有效地促进大气污染防治工作开展。通过对空气质量数据进行预处理,梳理出大气污染防治的分析任务,并基于相关分析和聚类分析等算法,以及多种信息可视化的方法,对大气污染进行污染物态势分析、污染物时序特征分析、污染物空间分布特征分析、行政区污染物态势分析和污染成因分析。最后通过开发可视分析系统对不同的污染物进行可交互式的可视分析,得出了大气污染空间分布规律、时变特征、受政策影响程度和国内生产总值(Gross Domestic Product,GDP)的关联度等结论。实验表明,该方法能够帮助用户快速感知全国大气污染的时变规律,为工作人员因地制宜地制定防治策略提供辅助决策。

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 regions,and the causes of pollution.Finally,through the development of visual analysis system for interactive visual analysis of different pollutants,conclusions such as the spatial distribution law of air pollution,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 decision-making support is provided for staff to formulate prevention and control strategies tailored to local conditions.