基于空间分析的北京地区空气质量研究

对北京地区空气质量分布特征和影响因素的研究已比较丰富,但仍缺少利用空间模型来研究影响北京市空气质量的因素。在分析北京市2019年各区空气质量数据的基础上,得出北京地区夏季和初秋空气质量相对较好,而冬季和初春空气质量相对较差;北京地区大气污染在空间上呈现出北低南高的趋势,自然因素是造成这种分布特征的主要原因;各区空气质量在空间上存在着显著的相关性,空间建模得出人均GDP和汽车保有量的增长会导致空气质量的恶化,而林木绿化率的增长有助于空气质量的改善。

The research on the distribution characteristics and influencing factors of air quality in Beijing area has been relatively rich,but still lack of related analysis through spatial modeling.Based on the analysis of the 2019 air quality data in Beijing various districts,it is concluded that the air quality in Beijing is relatively good in summer and early autumn,but relatively poor in winter and early spring.The spatial distribution of air pollution in Beijing shows a trend of low in the north and high in the south.Natural factors are the main reason for this distribution.There is a significant spatial correlation of air quality of each district in Beijing,and spatial modeling shows that the growth of per capita GDP and car ownership will lead to the deterioration of air quality,while the growth of forest greening rate will lead to the improvement of air quality.