贵州安顺市PM2.5气象输送条件及贡献源空间分布

doi:10.3969/j.issn.1673-503X.2022.02.007

Abstract

Abstract:

Using air pollutant data and meteorological data from Anshun, Guizhou province, the characteristics of air quality and pollutants from 2015 to 2019 in Anshun were analyzed.Using HYSPLIT backward trajectory model, along with GDAS data and PM_2.5 concentration data, seasonal transport pathways and pollution trajectories were analyzed as well.The potential source contribution function (PSCF) and concentration-weighted trajectory (CWT) were applied to evaluate the vertical and horizontal variations of transport pathways in all days with PM_2.5 polluted (i.e., concentrations above 75 μg·m^-3).The results show that PM_2.5 was the major pollutant in the urban area of Anshun and air transport accounted for a large proportion for this in winter, with the major pathways to the northeast and south of Guizhou province.Polluted airmass from the northeast direction led to PM_2.5 pollution, during which the tracks were mainly distributed at the height of 880-980 hPa.The areas with high potential source values were mainly concentrated over the whole area of Guiyang, Bijie Zhijin County, Qianxi County, Jinsha County, etc., whereas the areas with high contribution values were mainly concentrated in Ziyun County, Zhenning County, Bijie Zhijin County, Dafang County, etc.

Key words: Backward trajectory, Clustering analysis, Ttransport pathway, Potential source contribution

CLC Number:

X513

Qing CAO, Xiao-ping GU, Chi-peng ZHANG, Zhen-hong CHEN, Zhe-hong WU. Meteorological transport conditions and spatial variations of contribution source for PM_2.5 in Anshun of Guizhou province[J]. Journal of Meteorology and Environment, 2022, 38(2): 55-62.

Figures/Tables 7

Table 1

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Table 2

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References 30

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污染物	年份	日均值最小值	日均值最大值	平均值	标准偏差	国家二级标准	超标天数/d
	2015	7.0	195.0	36.38	26.90		3
	2016	4.0	154.0	22.30	18.56		1
SO₂	2017	2.0	119.0	21.08	15.99	150	0
	2018	2.0	68.0	17.26	12.32		0
	2019	4.0	92.0	15.23	11.64		0
	2015	3.0	44.0	14.47	7.83		0
	2016	4.0	50.0	15.79	6.74		0
NO₂	2017	5.0	44.0	15.09	6.99	80	0
	2018	4.0	36.0	14.65	6.73		0
	2019	3.0	45.0	13.0	6.07		0
	2015	12.0	280.0	49.45	27.39		2
	2016	6.0	132.0	38.11	19.71		0
PM₁₀	2017	9.0	182.0	44.73	30.14	150	6
	2018	7.0	146.0	46.95	27.78		0
	2019	6.0	108.0	37.70	19.49		0
	2015	8.0	174.0	29.57	16.43		5
	2016	4.0	98.0	26.93	14.94		3
PM_2.5	2017	4.0	136.0	30.43	20.83	75	16
	2018	4.0	105.0	32.29	19.44		14
	2019	4.0	83.0	28.42	15.44		3
	2015	0.2	2.2	0.66	0.35		0
	2016	0.3	1.5	0.67	0.23		0
CO	2017	0.3	1.2	0.61	0.15	4	0
	2018	0.4	1.2	0.68	0.19		0
	2019	0.2	1.3	0.61	0.21		0
	2015	3.0	178.0	82.24	35.40		5
	2016	11.0	148.0	78.85	26.62		0
臭氧8 h滑动均值	2017	13.0	154.0	78.31	29.73	160	0
	2018	8.0	165.0	82.84	32.64		4
	2019	18.0	180.0	82.47	32.94		5

季节	轨迹聚类类型	主要途径区域	轨迹数/个	所有轨迹出现频率/(%)	平均浓度/(μg·m^-3)	轨迹条数	污染轨迹统计平均浓度/(μg·m^-3)	本类占比/(%)
	A	印度北部、西藏(由西向东输送)、四川南部	82	4.46	33.11	0	0.00	0.00
	B	四川东南部	421	22.88	27.33	5	99.00	1.19
	C	广西西部	340	18.48	37.44	2	90.00	0.59
春季	D	云南(由西南向东北输送)	200	10.87	35.57	0	0.00	0.00
	E	贵州东南部	655	35.60	31.06	9	79.67	1.37
	F	湖北南部、湖南西北部、贵州东北部	142	7.72	26.94	0	0.00	0.00
	总计	-	1840	100.00	31.65	16	87.00	0.87
	A	贵州东南部	309	16.79	20.95	0	0	0
	B	四川东南部、贵州北部	350	19.02	21.24	0	0	0
	C	广西西部	397	21.58	13.54	0	0	0
夏季	D	云南东南部	114	6.20	13.51	0	0	0
	E	广西西北部	389	21.14	16.61	0	0	0
	F	湖南西北部、贵州东北部	281	15.27	27.65	0	0	0
	总计	-	1840	100.00	19.05	0	0	0
	A	湖北南部、湖南西北部、贵州东北部	238	14.00	38.04	7	80.86	2.94
	B	四川东南部、贵州北部	260	15.29	24.93	0	0.00	0.00
秋季	C	广西西北部、贵州南部	627	36.88	28.96	24	105.17	3.83
	D	印度东北部、缅甸北部、西藏	76	4.47	24.57	0	0.00	0.00
	E	贵州东北部	499	29.35	34.35	25	90.96	5.01
	总计	-	1700	100.00	31.00	56	95.79	3.29
	A	贵州东北部	907	50.31	38.79	56	89.04	6.17
	B	伊朗南部、巴基斯坦、印度北部、西藏	66	3.66	33.91	1	80.00	1.52
冬季	C	广西西北部、贵州南部	564	31.28	36.54	22	87.32	3.90
	D	印度东北部、缅甸北部、云南(由西向东输送)	266	14.75	35.26	12	85.75	4.51
	总计	-	1803	100.00	37.38	91	88.09	5.05

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Meteorological transport conditions and spatial variations of contribution source for PM_2.5 in Anshun of Guizhou province

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Meteorological transport conditions and spatial variations of contribution source for PM2.5 in Anshun of Guizhou province

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Meteorological transport conditions and spatial variations of contribution source for PM_2.5 in Anshun of Guizhou province