新疆大气PM2.5来源与潜在贡献源分析

doi:10.13866/j.azr.2023.06.03

Abstract

Abstract:

Using the air pollutant mass concentration data in Xinjiang from March 2021 to February 2022, the evolution characteristics of PM_2.5 concentration and its potential contribution source area were analyzed. The results showed that: (1) The concentration of PM_2.5 in Xinjiang was significantly high, especially in winter, the average was as high as 86.16 μg·m^-3, which had certain potential risks to human health. Influenced by the near-surface air stability, the PM_2.5 concentration was higher at nighttime and lower in the daytime, but supplemented by (similar) valley winds, the PM_2.5 concentration exhibited a significant double-peak pattern in the Hami Basin and the Tarim Basin. (2) The PM_2.5 in the economic belt of the northern slope of the Tianshan Mountains was mainly dominated by the emission from the surrounding oil and gas fields and the dust from strong winds during the transportation process, while the source of PM_2.5 in other areas, where human activities were relatively weak, was mainly controlled by the dust from strong winds, supplemented by the combustion of oil and natural gas. (3) The overall low concentration of PM_2.5 in each path in the source region of the Irtysh River indicates that the impact of pollutants on environmental quality could be ignored. The high concentration of PM_2.5 in the NB area was mainly affected by the local atmospheric circulation, but the airflow passing through the oil and gas industry area was a key factor leading to the formation of haze and floating dust weather. Although there are differences in the material supply paths between the Hami Basin and the Tarim Basin, their PM_2.5 potential contribution source areas were all mainly distributed in the Kongqi River Basin and Lop Nur on the eastern edge of the Taklimakan Desert. (4) Exogenous airflow evolved into convergent/divergent airflow due to the topography of the basin, supplemented by (quasi) valley winds to promote the mixing of pollutants, which could be the key factor for the similar evolution trend of PM_2.5 in the economic belt of the northern slope of the Tianshan Mountains and Tarim Basin.

Key words: PM_2.5, cluster analysis, Hybrid single-particle lagrangian integrated trajectory (Hysplit) model, potential contribution source area, Xinjiang

XU Junli, HAN Haidong, WANG Jian. Recharge sources and potential source areas of atmospheric PM_2.5 in Xinjiang[J].Arid Zone Research, 2023, 40(6): 874-884.

Figures/Tables 8

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	PM_2.5浓度均值/(μg·m^-3)					浓度变异系数/%
	全疆	NA区	NB区	NH区	S区	全疆	NA区	NB区	NH区	S区
春季	40.3	9.18	26.69	32.16	79.47	63.27	42.30	63.71	150.10	105.57
夏季	18.57	6.90	13.94	15.3	32.2	23.95	26.32	18.42	51.84	47.38
秋季	39.32	7.91	28.07	28.26	73.03	52.12	24.09	57.62	65.59	69.44
冬季	86.16	12.24	96.12	37.16	74.67	28.75	63.43	38.52	34.90	37.22
全年	46.13	9.07	41.2	28.28	65.01	69.64	54.55	94.41	99.78	84.55

	新疆			S区			NA区			NB区			NH区
	F1	F2	F3	F1_S	F2_S	F3_S	F1_NA	F2_NA	F3_NA	F1_NB	F2_NB	F3_NB	F1_NH	F2_NH	F3_NH
PM_2.5	0.44	0.79	0.30	0.15	0.97	0.10	0.20	0.83	0.05	0.91	0.31	0.15	0.18	0.96	0.06
NO₂	0.88	0.22	0.29	0.88	0.02	0.39	0.74	0.15	0.41	0.78	0.48	0.22	0.93	0.03	-0.02
O₃	-0.92	-0.18	-0.03	-0.94	-0.20	-0.12	-0.84	-0.03	-0.14	-0.20	-0.94	0.03	-0.91	-0.12	-0.09
CO	0.76	0.37	0.39	0.73	0.07	0.57	0.74	0.13	-0.18	0.76	0.56	0.16	0.83	0.06	0.10
SO₂	0.21	0.13	0.95	0.33	0.01	0.93	0.07	0.14	0.93	0.18	0.06	0.98	0.09	0.05	0.99
PM₁₀	0.15	0.95	0.04	0.05	0.98	-0.06	0.01	0.86	0.14	0.90	0.19	0.13	-0.01	0.98	0.01
解释方差/%	41.03	29.41	20.51	38.74	32.46	22.70	30.98	24.75	18.49	41.58	32.16	17.95	40.49	31.63	16.82

路径	NA区			NB区			NH区			S区
路径	路径占比 /%	平均值 /(μg·m^-3)	变异系数 /%	路径占比 /%	平均值 /(μg·m^-3)	变异系数 /%	路径占比 /%	平均值 /(μg·m^-3)	变异系数 /%	路径占比 /%	平均值 /(μg·m^-3)	变异系数 /%
1	13.64%	8.93	82.64%	21.08%	26.25	86.13%	25.18%	27.57	147.26%	23.15%	51.34	68.60%
2	46.46%	9.78	85.89%	50.83%	33.85	103.60%	41.97%	28.35	124.09%	40.11%	63.43	57.28%
3	20.71%	8.71	75.55%	11.44%	62.77	60.71%	17.90%	33.92	59.11%	17.24%	70.24	77.22%
4	19.19%	10.2	75.59%	16.65%	67.9	75.68%	14.95%	22.78	67.95%	19.50%	80.67	130.00%

Recharge sources and potential source areas of atmospheric PM_2.5 in Xinjiang

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Recharge sources and potential source areas of atmospheric PM2.5 in Xinjiang

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Recharge sources and potential source areas of atmospheric PM_2.5 in Xinjiang