Analysis of the Temporal and Spatial Variation of Atmospheric Quality from 2015 to 2019 based on China Atmospheric Environment Monitoring Station

Jiadan DONG; Xiaoling CHEN; Xiaobin CAI; Qiangqiang XU; Yuting GUAN; Tinghui LI; Shiyan LIU; Fang CHEN

doi:10.12082/dqxxkx.2020.200212

Journals >Journal of Geo-information Science >Volume 22 >Issue 10 >Page 1983 > Article

Journal of Geo-information Science
Vol. 22, Issue 10, 1983 (2020)

Analysis of the Temporal and Spatial Variation of Atmospheric Quality from 2015 to 2019 based on China Atmospheric Environment Monitoring Station

Jiadan DONG¹, Xiaoling CHEN¹, Xiaobin CAI², Qiangqiang XU¹, Yuting GUAN¹, Tinghui LI¹, Shiyan LIU², and Fang CHEN^1、*

Author Affiliations

¹State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China

²Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China

show less

DOI: 10.12082/dqxxkx.2020.200212 Cite this Article

Jiadan DONG, Xiaoling CHEN, Xiaobin CAI, Qiangqiang XU, Yuting GUAN, Tinghui LI, Shiyan LIU, Fang CHEN. Analysis of the Temporal and Spatial Variation of Atmospheric Quality from 2015 to 2019 based on China Atmospheric Environment Monitoring Station[J]. Journal of Geo-information Science, 2020, 22(10): 1983 Copy Citation Text

show less

Fig. 1. Map of air quality monitoring stations in China from 2015 to 2019

Download full size | View in the Article

Fig. 2. Average mass concentration of six key atmospheric pollutants and AQI in China from 2015 to 2019

Download full size | View in the Article

Fig. 3. Monthly average mass concentration changes of six key atmospheric pollutantsand AQI from 2015 to 2019

Download full size | View in the Article

Fig. 4. Seasonal average mass concentration changes of six key atmospheric pollutants and AQI from 2015 to 2019

Download full size | View in the Article

Fig. 5. Seasonal average changes of four combination indexes of key atmospheric pollutants in China from 2015 to 2019

Download full size | View in the Article

Fig. 6. Monthly Changes of four types of weather data in China from 2015 to 2019

Download full size | View in the Article

	PM_2.5/PM₁₀	PM_2.5/CO	PM_2.5/SO₂	SO₂/NO₂
东北区	0.574	43.189	2.150	0.723
北部区	0.611	53.441	3.390	0.471
东部区	0.638	52.997	3.332	0.388
南部区	0.600	33.483	2.793	0.478
黄中区	0.518	43.647	2.188	0.778
长中区	0.626	46.903	3.060	0.605
西南区	0.604	40.197	2.584	0.551
西北区	0.395	44.871	2.515	0.667
中国北方	0.540	45.760	2.517	0.690
中国南方	0.601	44.338	2.835	0.533

Table 1. Comparison of the combined ratios of four key atmospheric pollutants in eight major comprehensive economic zones from 2015 to 2019

	CO	SO₂	NO₂	O₃	PM₁₀	PM_2.5
CO	1	0.950^**	0.822^**	-0.846^**	0.741^**	0.955^**
SO₂	0.950^**	1	0.718^**	-0.729^**	0.707^**	0.895^**
NO₂	0.822^**	0.718^**	1	-0.828^**	0.799^**	0.879^**
O₃	-0.846^**	-0.729^**	-0.828^**	1	-0.581^**	-0.815^**
PM₁₀	0.741^**	0.707^**	0.799^**	-0.581^**	1	0.861^**
PM_2.5	0.955^**	0.895^**	0.879^**	-0.815^**	0.861^**	1

Table 2. Correlation coefficients of key atmospheric pollutants in China from 2015 to 2019

Download Citation

Save the article for my favorites

Paper Information