School of Atmospheric Sciences, CMA-NJU Joint Laboratory for Climate
Prediction Studies, Jiangsu Collaborative Innovation Center for Climate
Change, Nanjing University, Nanjing 210023, China
School of Atmospheric Sciences, CMA-NJU Joint Laboratory for Climate
Prediction Studies, Jiangsu Collaborative Innovation Center for Climate
Change, Nanjing University, Nanjing 210023, China
Jane Liu
School of Atmospheric Sciences, CMA-NJU Joint Laboratory for Climate
Prediction Studies, Jiangsu Collaborative Innovation Center for Climate
Change, Nanjing University, Nanjing 210023, China
Department of Geography and Planning, University of Toronto, Toronto,
M5S 3G3, Canada
Tijian Wang
School of Atmospheric Sciences, CMA-NJU Joint Laboratory for Climate
Prediction Studies, Jiangsu Collaborative Innovation Center for Climate
Change, Nanjing University, Nanjing 210023, China
Shu Li
School of Atmospheric Sciences, CMA-NJU Joint Laboratory for Climate
Prediction Studies, Jiangsu Collaborative Innovation Center for Climate
Change, Nanjing University, Nanjing 210023, China
School of Atmospheric Sciences, CMA-NJU Joint Laboratory for Climate
Prediction Studies, Jiangsu Collaborative Innovation Center for Climate
Change, Nanjing University, Nanjing 210023, China
Mengmeng Li
School of Atmospheric Sciences, CMA-NJU Joint Laboratory for Climate
Prediction Studies, Jiangsu Collaborative Innovation Center for Climate
Change, Nanjing University, Nanjing 210023, China
Pulong Chen
School of Atmospheric Sciences, CMA-NJU Joint Laboratory for Climate
Prediction Studies, Jiangsu Collaborative Innovation Center for Climate
Change, Nanjing University, Nanjing 210023, China
Ming Zhao
School of Atmospheric Sciences, CMA-NJU Joint Laboratory for Climate
Prediction Studies, Jiangsu Collaborative Innovation Center for Climate
Change, Nanjing University, Nanjing 210023, China
Viewed
Total article views: 4,928 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
3,504
1,334
90
4,928
100
154
HTML: 3,504
PDF: 1,334
XML: 90
Total: 4,928
BibTeX: 100
EndNote: 154
Views and downloads (calculated since 15 Oct 2018)
Cumulative views and downloads
(calculated since 15 Oct 2018)
Total article views: 4,164 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
3,131
953
80
4,164
91
145
HTML: 3,131
PDF: 953
XML: 80
Total: 4,164
BibTeX: 91
EndNote: 145
Views and downloads (calculated since 03 Apr 2019)
Cumulative views and downloads
(calculated since 03 Apr 2019)
Total article views: 764 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
373
381
10
764
9
9
HTML: 373
PDF: 381
XML: 10
Total: 764
BibTeX: 9
EndNote: 9
Views and downloads (calculated since 15 Oct 2018)
Cumulative views and downloads
(calculated since 15 Oct 2018)
Viewed (geographical distribution)
Total article views: 4,928 (including HTML, PDF, and XML)
Thereof 4,619 with geography defined
and 309 with unknown origin.
Total article views: 4,164 (including HTML, PDF, and XML)
Thereof 3,887 with geography defined
and 277 with unknown origin.
Total article views: 764 (including HTML, PDF, and XML)
Thereof 732 with geography defined
and 32 with unknown origin.
To better understand the characteristics of air pollutants and their interactions in the highly polluted region of eastern China, continuous measurements of particles and trace gases were made during cold seasons in 2016. We found 48 days with excess of PM2.5, 14 with excess of PM10, and 40 with excess of O3. Results further reveal the formation of secondary aerosols under high-O3 and temperature conditions and suggest a VOC-sensitive regime for photochemical production of O3 in urban Nanjing.
To better understand the characteristics of air pollutants and their interactions in the highly...
