WANG Xinlong1,ZHAO Wenji1,LI Lingjun2, YANG Xingchuan1, JIANG Jianfang1, SUN Shuang1
(1. College of Resources, Environment & Tourism, Capital Normal University, Beijing 100048, China;
2. Beijing Municipal Environmental Monitoring Center, Beijing 100048, China)
Abstract: Based on concentration data of O3 from 338 urban air quality monitoring stations in China from 2015 to 2017, this paper explored characteristics of spatiotemporal distributions of O3 in China using spatial interpolation, comprehensive global autocorrelation and geographic weighted regression models (GWR). The results showed that: the maximum 8-hour concentrations of O3 at 338 cities of China in years 2015~2017 ranged from 2 to 300 μg/m3, the percentage of the standard-exceeded day was 5.9%, and 323 cities had compliance rates of more than 85%. The curve of monthly average concentrations was a "single peak" curve with peaking in May and depressing in December. The seasonal variation of O3 concentration followed the trend of summer> spring> autumn> winter. The daily changes of O3 concentrations could be described as that the O3 concentration was at the low level from night to early morning, and began to rise around 8.00 am, reached the peak at 16:00 pm. The O3 pollution was serious in the north of China, the east of China and the center of China, the O3 pollution was low in the south of China, the southwest of China, the northwest of China and the northeast of China. The agglomeration of O3 concentrations was rising on the national scale, GWR showed that the O3 concentration correlated positively with the population density and the per capita private car ownership and negatively with the share of the primary industry.
Key word：maximum 8-hour O3 concentration; time change characteristics; spatial distribution characteristics; global autocorrelation; Geographically Weighted Regression Model
EARTH AND ENVIRONMENT Vol.48, No.1, Tot No.333, 2020, Page 66-75
