KANG Bo1,2, LIU Qiang1,3, ZHAO Qiang1
（1. College of resources and environmental engineering, Tianshui Normal university, Tianshui,741000,China;
2. College of resources, Sichuan Agricultural University ,Chengdu, 610000, China;
3.State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University,Yangling,712100, China）
Abstract: Based on the real-time monitoring data of PM2.5 released by the National Air Quality Testing Platform from 2015 to 2018, this paper explored the spatiotemporal variations of PM2.5 in 11 prefecture-level cities in the Urban Agglomeration of the Guanzhong Plain by using methods of geostatistics and exploratory spatial data analysis. The results indicated that: the PM2.5 pollution in the Urban Agglomeration of the Guanzhong Plain showed a decreasing trend, the number of cities whose average annual rate of PM2.5 exceeded the air quality standard reduced from 11 to 8, dropped significantly. The PM2.5 pollution in the study area mainly occurred in winter, sometimes in spring and autumn, and the concentration of PM2.5 in summer was least. The daily mean curve of PM2.5 was quite similar to the general monthly mean curve of PM2.5, both showed a single-peak “pulse type” variation. The PM2.5 pollution in the Urban Agglomeration of the Guanzhong Plain showed the spatial characteristics of both differentiation and agglomeration, that is the high-pollution area of “Linfen-Xianyang” decreased gradually and the low-pollution area of “Pingliang-Tianshui” increased gradually.
Key words: PM2.5; spatio-temporal variations; the Urban Agglomeration of Guanzhong Plain; geostatistics
EARTH AND ENVIRONMENT Vol.48, No.2, Tot No.334, 2020, Page 161-170
