Spatial Statistical Analysis Of Air Pollution In Beijing

Beijing as the capital of People's Republic of China, as an international metropolis, the air quality has been great concern. Statistical Institute of Capital University of Economics and Business, organized a living environment of urban residents of Beijing perceptions index survey. More than half of the respondents made it clear that their own lives to varying degrees by the impact of environmental pollution, and air pollution problems pose the greatest difficulties in their lives. Beijing air pollution problem is not just an administrative matter but a regional problem. Improving the air quality on our own efforts alone are obviously not enough, we must consider inter-regional effects of air pollution in Beijing and its neighboring regions. There is the problem of spatial dependence. The existence of spatial dependence breaks most of the classical statistical analysis of the sample independent of each other in the basic assumptions. Therefore, generally speaking, if the classical statistical method is applied directly associated with the geographic location data, we can not obtain spatial dependence of these data. On the contrary, it will cause various problems.Therefore, this article uses spatial statistical methods to analyze air pollution problems of Beijing.This paper first analyzes Beijing's current air quality and uses spatial statistical to analyze air pollution index of major cities in our country. We found that air pollution index exists a positive spatial autocorrelation, as well as the surrounding areas of Beijing air pollution index formed a large high-value gathering areas. This shows that Beijing air pollution index is high and the air pollution index has been around surrounded by areas whose air pollution index are high. In addition, Beijing's air pollution and economic development meet environmental Kuznets curve. Beijing's air pollution has experienced a turning point and begin to improve. Then this article analyzes the various districts of Beijing's air pollution. We found that air pollution index exists a positive spatial autocorrelation by using spatial data analysis. Air pollution's high value-high value distribution is in Beijing southwest, while the low value-low value distribution is in the northern suburbs of Beijing. Particulate matter PM10's center of gravity will change by time. This paper analyzes the influencing factors of air pollution in Beijing. Finally this paper puts forward proposals to improve the air quality in Beijing.