Spatial and temporal variations of the concentrations of PM10, PM2.5 and PM1 in China

Wang, Y. Q.; Zhang, X. Y.; Sun, J. Y.; Zhang, X. C.; Che, H. Z.; Li, Y.

doi:10.5194/acp-15-13585-2015

Articles | Volume 15, issue 23

https://doi.org/10.5194/acp-15-13585-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue:

Haze-fog forecasts and near real time (NRT) data application...

https://doi.org/10.5194/acp-15-13585-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 15, issue 23

Research article

|

09 Dec 2015

Research article |

| 09 Dec 2015

Spatial and temporal variations of the concentrations of PM₁₀, PM_2.5 and PM₁ in China

Y. Q. Wang, X. Y. Zhang, J. Y. Sun, X. C. Zhang, H. Z. Che, and Y. Li

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Total article views: 8,650 (including HTML, PDF, and XML)

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HTML: 4,654
PDF: 3,734
XML: 262
Total: 8,650
BibTeX: 210
EndNote: 310

Views and downloads (calculated since 08 Jun 2015)

Month	HTML	PDF	XML	Total
Jun 2015	109	149	8	266
Jul 2015	41	68	4	113
Aug 2015	10	50	3	63
Sep 2015	16	60	2	78
Oct 2015	18	39	0	57
Nov 2015	16	55	8	79
Dec 2015	180	244	11	435
Jan 2016	77	130	5	212
Feb 2016	42	96	4	142
Mar 2016	41	89	1	131
Apr 2016	10	41	0	51
May 2016	19	41	1	61
Jun 2016	21	35	2	58
Jul 2016	12	28	3	43
Aug 2016	9	9	0	18
Sep 2016	11	13	0	24
Oct 2016	11	7	0	18
Nov 2016	8	8	0	16
Dec 2016	6	8	1	15
Jan 2017	19	15	2	36
Feb 2017	13	8	1	22
Mar 2017	32	38	3	73
Apr 2017	25	34	1	60
May 2017	31	34	2	67
Jun 2017	36	30	3	69
Jul 2017	25	38	0	63
Aug 2017	14	36	1	51
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Oct 2017	20	31	1	52
Nov 2017	12	19	1	32
Dec 2017	13	21	2	36
Jan 2018	7	18	1	26
Feb 2018	8	24	0	32
Mar 2018	18	31	1	50
Apr 2018	14	18	0	32
May 2018	18	21	0	39
Jun 2018	12	20	0	32
Jul 2018	13	26	0	39
Aug 2018	23	26	0	49
Sep 2018	22	33	0	55
Oct 2018	12	32	2	46
Nov 2018	25	23	2	50
Dec 2018	20	18	3	41
Jan 2019	10	14	0	24
Feb 2019	9	18	0	27
Mar 2019	15	18	0	33
Apr 2019	17	23	2	42
May 2019	16	21	1	38
Jun 2019	16	10	0	26
Jul 2019	13	19	0	32
Aug 2019	13	14	1	28
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Nov 2019	20	13	0	33
Dec 2019	11	13	0	24
Jan 2020	15	10	2	27
Feb 2020	14	10	1	25
Mar 2020	8	16	0	24
Apr 2020	17	13	0	30
May 2020	15	11	0	26
Jun 2020	23	8	0	31
Jul 2020	25	14	6	45
Aug 2020	13	4	1	18
Sep 2020	13	12	0	25
Oct 2020	4	6	1	11
Nov 2020	12	12	1	25
Dec 2020	11	6	1	18
Jan 2021	25	15	1	41
Feb 2021	21	11	1	33
Mar 2021	41	24	2	67
Apr 2021	17	21	2	40
May 2021	97	19	3	119
Jun 2021	64	11	0	75
Jul 2021	27	17	2	46
Aug 2021	24	22	1	47
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Oct 2021	26	52	1	79
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Jan 2022	24	17	0	41
Feb 2022	27	22	4	53
Mar 2022	33	23	2	58
Apr 2022	24	18	2	44
May 2022	22	21	0	43
Jun 2022	21	16	1	38
Jul 2022	14	11	0	25
Aug 2022	32	18	1	51
Sep 2022	15	15	0	30
Oct 2022	30	11	6	47
Nov 2022	58	28	2	88
Dec 2022	50	23	0	73
Jan 2023	37	29	2	68
Feb 2023	23	18	1	42
Mar 2023	42	34	2	78
Apr 2023	27	29	2	58
May 2023	65	22	2	89
Jun 2023	66	26	4	96
Jul 2023	65	20	2	87
Aug 2023	58	22	3	83
Sep 2023	72	10	1	83
Oct 2023	106	26	6	138
Nov 2023	50	12	0	62
Dec 2023	71	26	4	101
Jan 2024	67	19	4	90
Feb 2024	74	29	1	104
Mar 2024	82	34	3	119
Apr 2024	96	58	4	158
May 2024	67	46	8	121
Jun 2024	50	20	1	71
Jul 2024	61	36	4	101
Aug 2024	48	30	6	84
Sep 2024	45	29	1	75
Oct 2024	52	15	5	72
Nov 2024	41	18	4	63
Dec 2024	31	28	6	65
Jan 2025	61	25	0	86
Feb 2025	55	16	3	74
Mar 2025	53	28	1	82
Apr 2025	53	30	2	85
May 2025	66	18	0	84
Jun 2025	91	21	0	112
Jul 2025	62	20	1	83
Aug 2025	69	24	0	93
Sep 2025	72	29	1	102
Oct 2025	70	35	0	105
Nov 2025	65	28	3	96
Dec 2025	74	70	5	149
Jan 2026	72	51	20	143
Feb 2026	62	38	6	106
Mar 2026	78	60	10	148
Apr 2026	20	12	0	32

Cumulative views and downloads (calculated since 08 Jun 2015)

Month	HTML	PDF	XML	Total
Jun 2015	109	149	8	266
Jul 2015	41	68	4	113
Aug 2015	10	50	3	63
Sep 2015	16	60	2	78
Oct 2015	18	39	0	57
Nov 2015	16	55	8	79
Dec 2015	180	244	11	435
Jan 2016	77	130	5	212
Feb 2016	42	96	4	142
Mar 2016	41	89	1	131
Apr 2016	10	41	0	51
May 2016	19	41	1	61
Jun 2016	21	35	2	58
Jul 2016	12	28	3	43
Aug 2016	9	9	0	18
Sep 2016	11	13	0	24
Oct 2016	11	7	0	18
Nov 2016	8	8	0	16
Dec 2016	6	8	1	15
Jan 2017	19	15	2	36
Feb 2017	13	8	1	22
Mar 2017	32	38	3	73
Apr 2017	25	34	1	60
May 2017	31	34	2	67
Jun 2017	36	30	3	69
Jul 2017	25	38	0	63
Aug 2017	14	36	1	51
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Oct 2017	20	31	1	52
Nov 2017	12	19	1	32
Dec 2017	13	21	2	36
Jan 2018	7	18	1	26
Feb 2018	8	24	0	32
Mar 2018	18	31	1	50
Apr 2018	14	18	0	32
May 2018	18	21	0	39
Jun 2018	12	20	0	32
Jul 2018	13	26	0	39
Aug 2018	23	26	0	49
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Apr 2020	17	13	0	30
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Jun 2021	64	11	0	75
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Aug 2021	24	22	1	47
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Oct 2021	26	52	1	79
Nov 2021	37	42	1	80
Dec 2021	31	19	4	54
Jan 2022	24	17	0	41
Feb 2022	27	22	4	53
Mar 2022	33	23	2	58
Apr 2022	24	18	2	44
May 2022	22	21	0	43
Jun 2022	21	16	1	38
Jul 2022	14	11	0	25
Aug 2022	32	18	1	51
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Oct 2022	30	11	6	47
Nov 2022	58	28	2	88
Dec 2022	50	23	0	73
Jan 2023	37	29	2	68
Feb 2023	23	18	1	42
Mar 2023	42	34	2	78
Apr 2023	27	29	2	58
May 2023	65	22	2	89
Jun 2023	66	26	4	96
Jul 2023	65	20	2	87
Aug 2023	58	22	3	83
Sep 2023	72	10	1	83
Oct 2023	106	26	6	138
Nov 2023	50	12	0	62
Dec 2023	71	26	4	101
Jan 2024	67	19	4	90
Feb 2024	74	29	1	104
Mar 2024	82	34	3	119
Apr 2024	96	58	4	158
May 2024	67	46	8	121
Jun 2024	50	20	1	71
Jul 2024	61	36	4	101
Aug 2024	48	30	6	84
Sep 2024	45	29	1	75
Oct 2024	52	15	5	72
Nov 2024	41	18	4	63
Dec 2024	31	28	6	65
Jan 2025	61	25	0	86
Feb 2025	55	16	3	74
Mar 2025	53	28	1	82
Apr 2025	53	30	2	85
May 2025	66	18	0	84
Jun 2025	91	21	0	112
Jul 2025	62	20	1	83
Aug 2025	69	24	0	93
Sep 2025	72	29	1	102
Oct 2025	70	35	0	105
Nov 2025	65	28	3	96
Dec 2025	74	70	5	149
Jan 2026	72	51	20	143
Feb 2026	62	38	6	106
Mar 2026	78	60	10	148
Apr 2026	20	12	0	32

Saved (final revised paper)

Latest update: 24 Apr 2026

Short summary

Concentrations of PM10, PM2.5 and PM1 were monitored at 24 stations of CAWNET from 2006 to 2014. The average levels of particulate matter (PM) concentrations and relationships were investigated. Seasonal, interannual and diurnal variations of the PM were revealed. The effects of meteorological factors on the PM were discussed. The highest PM concentrations were observed at the stations of Xian, Zhengzhou and Gucheng, in Guanzhong and the Huabei Plain.