Author Affiliations
1Guizhou Ecological Meteorology & Satellite Remote Sensing Center, Guiyang 550002, China2Guizhou Chuyun Environmental Protection Technology Co., Ltd, Guiyang 550081, Chinashow less
Fig. 1. Annual distribution characteristics of NO2 (a), SO2 (b), O3 (c) column amount based on OMI in Guizhou, China, in 2005, 2010, 2015 and 2019
Fig. 2. Seasonal distribution characteristics of NO2 (a), SO2 (b), O3 (c) column amount based on OMI in Guizhou, China
Fig. 3. Monthly mean distribution characteristics of NO2 column amount in Guizhou based on OMI in the four years of 2005, 2010, 2015 and 2019
Fig. 4. Monthly average concentration statistics of NO2 in Guizhou based on ground monitoring stations from 2015 to 2019
Fig. 5. Monthly mean distribution characteristics of SO2 column amount in Guizhou based on OMI in the four years of 2005, 2010, 2015 and 2019
Fig. 6. Monthly average concentration statistics of SO2 in Guizhou based on ground monitoring stations from 2015 to 2019
Fig. 7. Monthly mean distribution characteristics of O3 column amount in Guizhou based on OMI in the four years of 2005, 2010, 2015 and 2019
Fig. 8. Monthly average concentration statistics of O3 in Guizhou based on ground monitoring stations from 2015 to 2019
Methods | Temporal difference | Spatial difference |
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Peak concentration month | Minimum concentration month | Cities with high monthly concentration | Cities with low monthly concentration |
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Remote sensing | January | July | Zunyi, Bijie | Qiandongnan, Qiannan | Ground monitoring | December | July | Zunyi, Guiyang | Anshun, Qiannan |
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Table 1. Temporal and spatial differences in monthly NO2 concentration monitored by two methods
Methods | Temporal difference | Spatial difference |
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Peak concentration month | Minimum concentration month | Cities with high monthly concentration | Cities with low monthly concentration |
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Remote Sensing | January | August | Guiyang, Zunyi | Tongren, Qiandongnan | Ground monitoring | January | July | Anshun, Liupanshui | Tongren, Qiandongnan |
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Table 2. Temporal and spatial differences in monthly NO2 concentrations monitored by two methods
Methods | Temporal difference | Spatial difference |
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Peak concentration month | Minimum concentration month | Cities with high monthly concentration | Cities with low monthly concentration |
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Remote sensing | June | January | Zunyi, Tongren | Qianxinan, Liupanshui | Ground monitoring | April | January | Anshun, Guiyang | Liupanshui, Qiandongnan |
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Table 3. Temporal and spatial differences in monthly O3 concentrations monitored by two methods