Additional file 1 of Spatiotemporal characterization of aerosols and trace gases over the Yangtze River Delta region, China: impact of trans-boundary pollution and meteorology
Creators: name: Javed, Zeeshan
name: Bilal, Muhammad
name: Qiu, Zhongfeng
name: Li, Guanlin
name: Sandhu, Osama
name: Mehmood, Khalid
name: Wang, Yu
name: Ali, Md. Arfan
name: Liu, Cheng
name: Wang, Yuhang
name: Xue, Ruibin
name: Du, Daolin
name: Zheng, Xiaojun
Publisher: name: figshare
Year: 2022
Subjects: subject: Space Science
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Ecology
subject: FOS: Biological sciences
subject: Science Policy

description: Additional file 1: Table S1. The spatial position of National monitoring stations over the studied cities of YRD region. Table S2. Criteria air pollutants in Hangzhou during the study period (2018-2021). Table S3. Criteria air pollutants in Nanjing during the study period (2018-2021). Table S4. Criteria air pollutants in Hefei during the study period (2018–2021). Table S5. Criteria air pollutants in Shanghai during the study period (2018–2021). Table S6. The standards for annual mean concentration (µg/m3) of different pollutants. Table S7. The relative (%) change in concentration of trace gases and particulate matter from 2019-2020. Table S8. Spring Festival during different Years in China. Table S9. Total variance and rotated component matrix of PCA of pollutants concentrations over Nanjing. Table S10. Total variance and rotated component matrix of PCA of pollutants concentrations over Hangzhou. Table S11. Total variance and rotated component matrix of PCA of pollutants concentrations over Shanghai. Table S12. Total variance and rotated component matrix of PCA of pollutants concentrations over Hefei. Figure S1. The inter- annual variation of NO2, O3, SO2, PM2.5 and PM10 in Hangzhou, Nanjing, Hefei and Shanghai during 2018-2021excluding COVID-19 lockdown days (24th of January–31st of March) from all years. Figure S2. PSCF Analysis based on NO2 grouped by season over Hefei. The color bar indicates the weights of Pollution source regions. Figure S3. PSCF Analysis based on SO2 grouped by season over Hefei. The color bar indicates the weights of Pollution source regions. Figure S4. PSCF Analysis based on O3 grouped by season over Hefei. The color bar indicates the weights of Pollution source regions. Figure S5. PSCF Analysis based on PM2.5 grouped by season over Hefei. The color bar indicates the weights of Pollution source regions. Figure S6. PSCF Analysis based on PM10 grouped by season over Hefei. The color bar indicates the weights of Pollution source regions. Figure S7. PSCF Analysis based on NO2 grouped by season over Hangzhou. The color bar indicates the weights of Pollution source regions. Figure S8. PSCF Analysis based on SO2 grouped by season over Hangzhou. The color bar indicates the weights of Pollution source regions. Figure S9. PSCF Analysis based on O3 grouped by season over Hangzhou. The color bar indicates the weights of Pollution source regions. Figure S10. PSCF Analysis based on PM2.5 grouped by season over Hangzhou. The color bar indicates the weights of Pollution source regions. Figure S11. PSCF Analysis based on PM10 grouped by season over Hangzhou. The color bar indicates the weights of Pollution source regions. Figure S12. PSCF Analysis based on NO2 grouped by season over Shanghai. The color bar indicates the weights of Pollution source regions. Figure S13. PSCF Analysis based on SO2 grouped by season over Shanghai. The color bar indicates the weights of Pollution source regions. Figure S14. PSCF Analysis based on O3 grouped by season over Shanghai. The color bar indicates the weights of Pollution source regions. Figure S15. PSCF Analysis based on PM2.5 grouped by season over Shanghai. The color bar indicates the weights of Pollution source regions. Figure S16. PSCF Analysis based on PM10 grouped by season over Shanghai. The color bar indicates the weights of Pollution source regions. Figure S17. Different regions of Peoples republic of China.