Table 1 FI of wintertime PM10 in nine regional core cities in Scenario one.

From: Exploring the spatial heterogeneity and temporal homogeneity of ambient PM10 in nine core cities of China

 

SO2 (%)

NO2 (%)

O3 (%)

CO (%)

Beijing, BTH

2014–2015

8.7

6.9

6.3

78.1

2015–2016

13.2

12.8

4.6

69.4

2016–2017

5.2

4.9

4.2

85.8

2017–2018

10.0

9.8

12.6

67.7

2018–2019

6.0

12.7

14.2

67.1

Tianjin, BTH

2014–2015

5.7

13.4

6.3

74.6

2015–2016

9.0

9.8

4.8

76.4

2016–2017

5.8

8.1

5.2

81.0

2017–2018

12.1

11.3

10.3

66.3

2018–2019

7.0

11.4

11.8

69.8

Shanghai, YRD

2014–2015

13.4

5.0

5.8

75.8

2015–2016

50.0

7.6

12.0

30.4

2016–2017

13.4

9.1

11.8

65.7

2017–2018

36.5

5.9

8.1

49.5

2018–2019

25.3

12.3

12.7

49.5

Nanjing, YRD

2014–2015

27.2

6.4

6.6

59.8

2015–2016

18.4

13.7

13.4

54.5

2016–2017

24.1

10.4

9.5

56.0

2017–2018

13.9

8.6

8.8

68.7

2018–2019

18.6

10.8

9.3

61.3

Hangzhou, YRD

2014–2015

44.8

8.4

12.6

34.3

2015–2016

27.3

12.6

9.4

50.7

2016–2017

19.3

32.9

12.3

35.5

2017–2018

20.5

7.7

9.0

62.8

2018–2019

44.5

13.1

15.7

26.7

Guangzhou, PRD

2014–2015

45.6

21.5

7.7

25.2

2015–2016

30.1

45.9

10.3

13.7

2016–2017

51.5

27.2

8.2

13.1

2017–2018

59.3

10.2

8.5

22.0

2018–2019

7.1

64.0

14.6

14.3

Shenzhen, PRD

2014–2015

39.6

28.9

17.3

14.2

2015–2016

35.9

22.5

17.1

24.5

2016–2017

40.9

17.6

12.9

28.6

2017–2018

49.0

18.1

14.2

18.7

2018–2019

37.6

27.8

15.1

19.5

Chengdu, SCB

2014–2015

14.7

50.70

8.1

26.5

2015–2016

49.6

10.6

7.6

32.2

2016–2017

20.3

10.6

10.1

59.0

2017–2018

8.6

26.4

14.0

51.0

2018–2019

28.8

41.4

14.6

15.2

Chongqing, SCB

2014–2015

53.5

18.2

6.5

21.8

2015–2016

20.0

43.5

13.6

22.9

2016–2017

49.3

10.9

7.6

32.2

2017–2018

47.1

24.6

10.5

17.8

2018–2019

20.0

52.3

9.3

18.4