Modeling study of the 2010 regional haze event in the North China Plain

Gao, M.; Carmichael, G. R.; Wang, Y.; Saide, P. E.; Yu, M.; Xin, J.; Liu, Z.; Wang, Z.

doi:10.5194/acp-16-1673-2016

Articles | Volume 16, issue 3

https://doi.org/10.5194/acp-16-1673-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue:

The community version of the Weather Research and Forecasting...

https://doi.org/10.5194/acp-16-1673-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 16, issue 3

Research article

|

12 Feb 2016

Research article |

| 12 Feb 2016

Modeling study of the 2010 regional haze event in the North China Plain

M. Gao, G. R. Carmichael, Y. Wang, P. E. Saide, M. Yu, J. Xin, Z. Liu, and Z. Wang

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Jan 2016	34	56	2	92
Feb 2016	224	112	10	346
Mar 2016	87	59	1	147
Apr 2016	46	28	0	74
May 2016	58	22	1	81
Jun 2016	35	26	3	64
Jul 2016	40	13	2	55
Aug 2016	15	7	1	23
Sep 2016	19	16	0	35
Oct 2016	25	17	0	42
Nov 2016	16	11	0	27
Dec 2016	20	12	0	32
Jan 2017	27	23	2	52
Feb 2017	34	27	2	63
Mar 2017	66	43	6	115
Apr 2017	52	44	0	96
May 2017	46	22	3	71
Jun 2017	52	16	6	74
Jul 2017	28	13	2	43
Aug 2017	17	17	1	35
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Nov 2017	29	30	1	60
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Mar 2020	6	7	0	13
Apr 2020	10	15	1	26
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Jun 2020	25	9	0	34
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Jan 2022	34	8	0	42
Feb 2022	28	10	1	39
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Dec 2022	38	6	0	44
Jan 2023	32	17	1	50
Feb 2023	45	15	0	60
Mar 2023	48	22	0	70
Apr 2023	24	31	0	55
May 2023	54	19	4	77
Jun 2023	55	9	1	65
Jul 2023	60	9	2	71
Aug 2023	41	12	3	56
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Oct 2023	66	14	3	83
Nov 2023	43	9	0	52
Dec 2023	65	16	2	83
Jan 2024	63	14	1	78
Feb 2024	54	17	1	72
Mar 2024	66	36	2	104
Apr 2024	59	12	5	76
May 2024	39	15	2	56
Jun 2024	30	9	2	41
Jul 2024	47	24	5	76
Aug 2024	41	6	6	53
Sep 2024	22	5	2	29
Oct 2024	27	12	0	39
Nov 2024	14	8	2	24
Dec 2024	26	8	1	35
Jan 2025	40	20	0	60
Feb 2025	53	6	2	61
Mar 2025	42	17	0	59
Apr 2025	32	25	4	61
May 2025	36	16	1	53
Jun 2025	52	18	4	74
Jul 2025	52	30	2	84
Aug 2025	116	26	3	145
Sep 2025	66	16	1	83
Oct 2025	36	38	0	74
Nov 2025	27	18	2	47

Cumulative views and downloads (calculated since 26 Aug 2015)

Month	HTML	PDF	XML	Total
Aug 2015	161	97	7	265
Sep 2015	71	883	17	971
Oct 2015	24	324	12	360
Nov 2015	23	268	7	298
Dec 2015	11	129	6	146
Jan 2016	34	56	2	92
Feb 2016	224	112	10	346
Mar 2016	87	59	1	147
Apr 2016	46	28	0	74
May 2016	58	22	1	81
Jun 2016	35	26	3	64
Jul 2016	40	13	2	55
Aug 2016	15	7	1	23
Sep 2016	19	16	0	35
Oct 2016	25	17	0	42
Nov 2016	16	11	0	27
Dec 2016	20	12	0	32
Jan 2017	27	23	2	52
Feb 2017	34	27	2	63
Mar 2017	66	43	6	115
Apr 2017	52	44	0	96
May 2017	46	22	3	71
Jun 2017	52	16	6	74
Jul 2017	28	13	2	43
Aug 2017	17	17	1	35
Sep 2017	33	30	5	68
Oct 2017	18	21	1	40
Nov 2017	29	30	1	60
Dec 2017	24	18	1	43
Jan 2018	14	16	1	31
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Mar 2018	30	24	3	57
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Apr 2021	21	21	1	43
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Jun 2021	25	19	0	44
Jul 2021	25	19	1	45
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Sep 2021	23	13	0	36
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Feb 2022	28	10	1	39
Mar 2022	37	19	0	56
Apr 2022	36	9	2	47
May 2022	34	9	0	43
Jun 2022	20	9	0	29
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Oct 2022	25	7	0	32
Nov 2022	65	12	0	77
Dec 2022	38	6	0	44
Jan 2023	32	17	1	50
Feb 2023	45	15	0	60
Mar 2023	48	22	0	70
Apr 2023	24	31	0	55
May 2023	54	19	4	77
Jun 2023	55	9	1	65
Jul 2023	60	9	2	71
Aug 2023	41	12	3	56
Sep 2023	67	10	2	79
Oct 2023	66	14	3	83
Nov 2023	43	9	0	52
Dec 2023	65	16	2	83
Jan 2024	63	14	1	78
Feb 2024	54	17	1	72
Mar 2024	66	36	2	104
Apr 2024	59	12	5	76
May 2024	39	15	2	56
Jun 2024	30	9	2	41
Jul 2024	47	24	5	76
Aug 2024	41	6	6	53
Sep 2024	22	5	2	29
Oct 2024	27	12	0	39
Nov 2024	14	8	2	24
Dec 2024	26	8	1	35
Jan 2025	40	20	0	60
Feb 2025	53	6	2	61
Mar 2025	42	17	0	59
Apr 2025	32	25	4	61
May 2025	36	16	1	53
Jun 2025	52	18	4	74
Jul 2025	52	30	2	84
Aug 2025	116	26	3	145
Sep 2025	66	16	1	83
Oct 2025	36	38	0	74
Nov 2025	27	18	2	47

Latest update: 17 Nov 2025

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Short summary

The WRF-Chem model was applied to study the 2010 winter haze in North China. Air pollutants outside Beijing contributed about 64.5 % to the PM_2.5 levels in Beijing during this haze event, and most of them are from south Hebei, Tianjin city, Shandong and Henan provinces. In addition, aerosol feedback has important impacts on surface temperature, Relative Humidity (RH) and wind speeds, and these meteorological variables affect aerosol distribution and formation in turn.