新疆伊宁市臭氧污染特征、气象影响及潜在源分析

doi:10.13866/j.azr.2025.10.14

Abstract

Abstract:

To investigate the characteristics of ozone (O₃) pollution and its potential sources in Yining City, this study analyzed O₃ monitoring data from multiple stations in 2022, combined with meteorological observations and Global Data Assimilation System data. The Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model was employed for backward trajectory analysis, supplemented by Potential Source Contribution Function (PSCF) and Concentration-Weighted Trajectory (CWT) methods. The results indicated that the highest monthly O₃ concentrations occurred in June 2022, while the lowest occurred in December. During peak seasons, the average O₃ concentrations at the monitoring stations exceeded the WHO Air Quality Guidelines limit by factors of 1.97, 1.98, and 1.88, respectively. O₃ mass concentrations showed positive correlations with the boundary layer height and temperature, while being negatively correlated with the humidity and atmospheric pressure. Diurnal variation analysis revealed that O₃ peaks occurred between 17:00 and 18:00 local time, lagging 3-4 h behind the solar radiation maximum observed at 14:00, demonstrating a unimodal diurnal pattern consistent with photochemical formation mechanisms. HYSPLIT trajectory analysis identified dominant air mass origins from the South Kazakhstan, Zhambyl, and Almaty regions of Kazakhstan. PSCF results highlighted significant transboundary contribution zones during spring, including border areas between Nileke and Xinyuan counties in Ili Prefecture, and the Uzbekistan-Kazakhstan border near Usharal and Urzhar. Summer high-contribution areas encompassed Wensu and Kuqa counties in Aksu Prefecture, Luntai County in Bayingol Prefecture, and the southern Zhambyl region of Kazakhstan. CWT analysis identified high-concentration contribution zones in eastern Nileke County in spring and in eastern Xinyuan County, Gongliu-Tekes counties, northwestern Hejing County, and the southwestern Almaty border region in summer. These findings provide a valuable reference for the apportionment of regional O₃ pollution sources in Ili River Valley.

Key words: ozone, pollution characterisation, backward trajectory, analysis of potential source contributions, concentration weighting trajectory

CHEN Xin, LIU Yunqing, WANG Xinglei. Analysis of ozone pollution characteristics, meteorological influences, and potential sources in Yining, Xinjiang[J].Arid Zone Research, 2025, 42(10): 1913-1924.

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时间	O₃浓度/（μg·m^-3）			超标天数/d
时间	第二水厂	新政府片区	市环保局	第二水厂	新政府片区	市环保局
3月	79.23	76.9	74.13	4	3	2
4月	106.23	105.37	101.73	22	22	20
5月	108.29	102.16	106.87	22	16	19
6月	129.37	125.3	131.47	29	28	29
7月	127.42	121.68	128.23	29	29	29
8月	120.26	110.58	121.1	25	23	25
9月	118.77	111.57	122.17	25	23	25
10月	82.68	82.61	84.74	7	5	9
11月	59.03	59.27	58.57	0	0	0
12月	58.97	52.39	55.87	0	0	0
1月	76.61	66.87	69.9	6	1	4
2月	92.29	91.64	91.36	8	7	6

季节	轨迹	第二水厂				新政府片区				市环保局
		占比/%	ρ/（μg·m^-3）	超标轨迹		占比/%	ρ/（μg·m^-3）	超标轨迹		占比/%	ρ/（μg·m^-3）	超标轨迹
		占比/%	ρ/（μg·m^-3）	数量	ρ/（μg·m^-3）	占比/%	ρ/（μg·m^-3）	数量	ρ/（μg·m^-3）	占比/%	ρ/（μg·m^-3）	数量	ρ/（μg·m^-3）
春	1	41.25	63.98	176	118.93	35.93	65.50	147	118.03	36.57	61.52	133	116.99
	2	2.18	82.38	17	117.82	1.44	84.77	11	112.09	1.81	81.10	15	114.27
	3	24.26	66.93	52	110.90	17.36	65.18	25	110.32	16.11	62.67	14	107.14
	4	32.31	66.53	124	113.19	45.28	65.98	147	112.96	45.51	61.52	133	112.54
夏	1	37.59	86.37	334	127.16	47.51	87.87	408	122.58	47.01	87.10	432	128.76
	2	17.39	91.48	180	122.88	15.17	92.00	150	118.52	14.18	90.48	146	122.57
	3	45.02	80.63	340	123.87	37.32	81.47	252	118.76	38.81	81.59	314	123.16
秋	1	79.15	52.57	240	122.28	87.54	56.44	264	115.71	79.24	54.49	257	123.72
	2	1.82	56.95	4	103.75	1.53	51.88	0	0	2.25	56.98	4	104.75
	3	19.03	53.99	29	120.79	10.93	58.80	9	111.00	18.5	56.84	38	119.63
冬	1	28.10	41.05	41	111.68	38.44	38.44	20	109.80	16.81	47.47	28	109.86
	2	15.97	52.62	14	106.21	51.87	51.87	17	104.76	16.39	55.46	10	105.60
	3	55.93	41.71	73	115.01	42.09	42.09	49	109.73	66.81	44.12	64	112.16

Analysis of ozone pollution characteristics, meteorological influences, and potential sources in Yining, Xinjiang

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