宝鸡市一次污染过程黑碳气溶胶的变化特征及潜在源解析

大气与环境光学学报 ›› 2021, Vol. 16 ›› Issue (4): 331-338.

宝鸡市一次污染过程黑碳气溶胶的变化特征及潜在源解析

周变红1;2∗, 曹夏1, 冯瞧1, 王锦1, 张容端1, 刘雅雯1, 杨震龙3, 刘文霞4, 王勇5, 李建军2

1 宝鸡文理学院地理与环境学院, 陕西省灾害监测与机理模拟重点实验室, 陕西宝鸡 721013; 2 中国科学院地球环境研究所, 中国科学院气溶胶化学物理重点实验室, 陕西西安 710061; 3 西安市环境监测站, 陕西西安 710114; 4 宝鸡市环境监测中心站, 陕西宝鸡 721006; 5 宝鸡海蓝工程咨询有限公司, 陕西宝鸡 721000

收稿日期:2021-01-29 修回日期:2021-03-31 出版日期:2021-07-28 发布日期:2021-07-28
通讯作者: E-mail: bhz620@163.com E-mail:bhz620@163.com
作者简介:周变红 (1976 - ), 女, 陕西渭南人, 博士, 副教授, 主要从事大气气溶胶的理化特性、光学特性、气候环境效应及其长期变化规律的研究。 E-mail: bhz620@163.com
基金资助:
Supported by National Foundation Project (国家基金委面上项目, 41977332), Research Project of Shanxi Provincial Natural Science (陕西省自然科学基础研究项目, 2019JQ4041), Project of Key Laboratory of Aerosol Chemistry and Physics of Chinese Academy of Sciences (中国科学院气溶胶化学物理重点实验室项目, KLACP2004), Key Projects of Baoji College of Arts and Sciences (宝鸡文理学院重点项目, ZK2018049), Baoji University of Arts and Sciences Postgraduate Innovation Research Project (宝鸡文理学院研究生创新研究项目, YJSCX20YB30)

Variation Characteristics and Potential Source Apportionment of Black Carbon Aerosol During Primary Pollution Process in Baoji

ZHOU Bianhong1;2∗, CAO Xia1, FENG Qiao1, WANG Jin1, ZHANG Rongduan1, LIU Yawen1, YANG Zhenlong3, LIU Wenxia4, WANG Yong5, LI Jianjun2

1 Shanxi Key Laboratory of Disaster Monitoring and Mechanism Simulation, College of Geography and Environment, Baoji University of Arts and Sciences, Baoji 721013, China; 2 Key Laboratory of Aerosol Chemistry and Physics, Institute of Earth Environment, Chinese Academy of Sciences, Xi′an 710061, China ; 3 Environmental Monitoring Center Station of Xi′an, Xi′an 710114, China; 4 Environmental Monitoring Station of Baoji, Baoji 721006, China; 5 Baoji Hailan Engineering Consulting Co. Ltd, Baoji 721000, China

Received:2021-01-29 Revised:2021-03-31 Published:2021-07-28 Online:2021-07-28

摘要/Abstract

摘要： 利用 AE-31 型黑碳仪于 2019年 2 月 4–26 日对宝鸡市的黑碳 (BC) 气溶胶进行了在线连续监测, 并结合 PM2:5 质量浓度、风速风向等数据, 采用聚类分析研究了该地区污染期间 BC 质量浓度的变化及来源。结果表明, 观测期间 BC 平均质量浓度为 2.8 µg·m−3, 范围为 0.4∼8.0 µg·m−3; PM2:5 平均质量浓度为 119.9 µg·m−3, 范围为 17.3∼221.9 µg·m−3; 重度污染期间 BC 和 PM2:5 平均质量浓度分别为 3.4 µg·m−3 和 176.4 µg·m−3。空气质量为“良”, BC 质量浓度日变化有明显峰值; 空气质量为“ 轻度污染”时, BC 质量浓度日变化呈“双峰双谷”型; 当空气质量为“中度和重度污染”时, BC 质量浓度呈现白天低夜间高的变化趋势。研究结果还发现东南和东北风向对 BC 影响较大。在静风和非静风条件下, 当空气质量为“良、轻度、中度和重度污染”时, BC 质量浓度分别为 1.9 µg·m−3 和 1.5 µg·m−3、 2.4 µg·m−3 和 2.2 µg·m−3、 3.5 µg·m−3 和 3.0 µg·m−3、 3.7 µg·m−3 和 3.3 µg·m−3, 表明污染越重 BC 浓度越大, 静风条件下, 污染物易累积。进一步的后向轨迹聚类分析表明, 来自宝鸡东部的气团以及秦岭的阻挡效应对宝鸡 BC 的浓度影响较大。

关键词: 黑碳气溶胶, 宝鸡, 重污染, 聚类分析

Abstract: The black carbon (BC) aerosol data of Baoji City, China were continuously monitored online from February 4 to 26, 2019 using AE-31 Aethalometer in this work, and then combined with the data of PM2:5 mass concentration, wind speed and direction, the variation of BC mass concentration and its sources during the pollution in this region were investigated by cluster analysis. The results shows that the average mass concentration of BC during the observation period is 2.8 µg·m−3, ranging from 0.4 to 8.0 µg·m−3, the average mass concentration of PM2:5 is 119.9 µg·m−3, ranging from 17.3 to 221.9 µg·m−3, and the average mass concentrations of BC and PM2:5 during heavy pollution are 3.4 µg·m−3 and 176.4 µg·m−3, respectively. When the air quality is ”good”, the daily variation of BC mass concentration has obvious peak; when the air quality is ”light pollution”, the daily variation of BC mass concentration is ”double peak and double valley” type; when the air quality is ”moderate and heavy pollution”, the daily variation of BC mass concentration shows a trend of low during the day and high at night. It is also shown that southeast and northeast wind directions have a strong influence on BC. Under gusty and non-gusty conditions, when the air quality is good, light, moderate and heavy pollution, the BC mass concentrations are 1.9 and 1.5 µg·m−3, 2.4 and 2.2 µg·m−3, 3.5 and 3.0 µg·m−3, 3.7 and 3.3 µg·m−3, respectively. It shows that the heavier the pollution, the greater the BC concentration, and the pollutants tend to accumulate under static wind conditions. Furthermore, backward trajectory clustering analysis shows that the air mass from the east of Baoji and the blocking effect of Qinling Mountains have a greater influence on the concentration of BC in Baoji.

Key words: black carbon aerosol, Baoji, heavy pollution, cluster analysis

中图分类号:

X831

周变红, ∗, 曹夏, 冯瞧, 王锦, 张容端, 刘雅雯, 杨震龙, 刘文霞, 王勇, 李建军. 宝鸡市一次污染过程黑碳气溶胶的变化特征及潜在源解析[J]. 大气与环境光学学报, 2021, 16(4): 331-338.

ZHOU Bianhong, ∗, CAO Xia, FENG Qiao, WANG Jin, ZHANG Rongduan, LIU Yawen, YANG Zhenlong, LIU Wenxia, WANG Yong, LI Jianjun. Variation Characteristics and Potential Source Apportionment of Black Carbon Aerosol During Primary Pollution Process in Baoji[J]. Journal of Atmospheric and Environmental Optics, 2021, 16(4): 331-338.

参考文献 24

[1]	Kuhlbusch T A J. Black carbon and the carbon cycle [J]. Science, 1998, 280(5371): 1903-1904.
[2]	Xu Li, Wang Yaqiang, Chen Zhenlin, et al. Progress of black carbon aerosol research I: Emission, Removal and concentration
[J]	Advances in Earth Science, 2006, 21(4): 352-360.
	许黎, 王亚强, 陈振林, 等. 黑碳气溶胶研究进展 I: 排放、清除和浓度 [J]. 地球科学进展, 2006, 21(4): 352-360.
[3]	Koelmans A A, Jonker M T O, Cornelissen G, et al. Black carbon: The reverse of its dark side [J]. Chemosphere, 2006, 63(3):
36	5-377.
[4]	Cooke W F, Wilson J J N. A global black carbon aerosol model [J]. Journal of Geophysical Research Atmospheres, 1996,
10	1(D14): 19395-19409.
[5]	Menon S, Hansen J, Nazarenko L, et al. Climate effects of black carbon aerosols in China and India [J]. Science, 2002,
29	7(5590): 2250-2253.
[6]	Li Y, Henze D K, Jack D, et al. Assessing public health burden associated with exposure to ambient black carbon in the United
	States [J]. Science of The Total Environment, 2016, 539: 515-525.
[7]	Koch D. Transport and direct radiative forcing of carbonaceous and sulfate aerosols in the GISS GCM [J]. Journal of Geophysical Research: Atmospheres, 2001, 106(D17): 20311-20332.
[8]	Jacobson M Z. Strong radiative heating due to the mixing state of black carbon in atmospheric aerosols [J]. Nature, 2001,
40	9(6821): 695-697.
[9]	Lee Y L, Sequeira R. Water-soluble aerosol and visibility degradation in Hong Kong during autumn and early winter, 1998 [J].
	Environmental Pollution, 2002, 116(2): 225-233.
[10]	Lin Y F, Huang K, Zhuang G S, et al. A multi-year evolution of aerosol chemistry impacting visibility and haze formation over
	an Eastern Asia megacity, Shanghai [J]. Atmospheric Environment, 2014, 92: 76-86.
[11]	Huang K, Zhuang G, Lin Y, et al. Impact of anthropogenic emission on air quality over a megacity-revealed from an intensive
	atmospheric campaign during the Chinese Spring Festival [J]. Atmospheric Chemistry and Physics, 2012, 12(23): 11631-
11	645.
[12]	Kirchstetter T W, Aguiar J, Tonse S, et al. Black carbon concentrations and diesel vehicle emission factors derived from
	coefficient of haze measurements in California: 1967-2003 [J]. Atmospheric Environment, 2008, 42(3): 480-491.
[13]	Allen G A, Lawrence J, Koutrakis P. Field validation of a semi-continuous method for aerosol black carbon (aethalometer) and
	temporal patterns of summertime hourly black carbon measurements in southwestern PA [J]. Atmospheric Environment, 1999,
33	(5): 817-823.
[14]	Alfaro S C. Chemical and optical characterization of aerosols measured in spring 2002 at the ACE-Asia supersite, Zhenbeitai,
	China [J]. Journal of Geophysical Research: Atmospheres, 2003, 108(D23): 8641.
[15]	Petzold A, Fiebig M, Flentje H, et al. Vertical variability of aerosol properties observed at a continental site during the Lindenberg aerosol characterization experiment (LACE 98) [J]. Journal of Geophysical Research: Atmospheres, 2002, 107(D21):
	LAC10-1.
[16]	Silva A M. Aerosol optical properties from columnar data during the second aerosol characterization experiment on the south
	coast of Portugal [J]. Journal of Geophysical Research: Atmospheres, 2002, 107(D22): 4642.
[17]	Lelieveld J, Crutzen P J, Ramanathan V, et al. The Indian ocean experiment: Widespread air pollution from south and southeast
	Asia [J]. Science, 2001, 291(5506): 1031-1036.
[18]	Tang Jie, Wen Yupu, Zhou Lingxi, et al. Observational study of black carbon in clean air area of western China [J]. Journal of
	Applied Meteorological Science, 1999, 10(2): 160-170.
	汤洁, 温玉璞, 周凌晞, 等. 中国西部大气清洁地区黑碳气溶胶的观测研究 [J]. 应用气象学报, 1999, 10(2): 160-170.
[19]	Jing A K, Zhu B, Wang H L, et al. Source apportionment of black carbon in different seasons in the northern suburb of Nanjing,
	China [J]. Atmospheric Environment, 2019, 201: 190-200.
[20]	Wang Lu, Yuan liang, Zhang Xiaoling, et al. Characteristics and source apportionment of black carbon in Chengdu [J].
	Environmental Science, 2020, 41(4): 1561-1572.
	王璐, 袁亮, 张小玲, 等. 成都地区黑碳气溶胶变化特征及其来源解析 [J]. 环境科学, 2020, 41(4): 1561-1572.
[21]	Sun Tianlin, Wu Dui, Wu Cheng, et al. Characteristics and sources of black carbon aerosol pollution in Dongguan [J]. Geochimica, 2020, 49(3): 287-297.
	孙天林, 吴兑, 吴晟, 等. 东莞市黑碳气溶胶污染特征及来源分析 [J]. 地球化学, 2020, 49(3): 287-297.
[22]	Zhu Bin, Wang Yuanmin, Gao Jinhui, et al. Distribution and source characteristics of black carbon in autumn over “HunanHubei basin”, China [J]. Transactions of Atmospheric Sciences, 2020, 43(4): 592-602.
	朱彬, 王媛敏, 高晋徽, 等. “两湖盆地”秋季黑碳气溶胶的分布及来源特征 [J]. 大气科学学报, 2020, 43(4): 592-602.
[23]	Chen Cheng, Hua Yan, Wang Yu, et al. The Research on pollution characteristics of black carbon aerosol in Lianyungang [J].
	Environmental Monitoring and Forewarning, 2018, 10(2): 45-48.
	陈程, 花艳, 王瑜, 等. 连云港黑碳气溶胶污染特征研究 [J]. 环境监控与预警, 2018, 10(2): 45-48.
[24]	Lan Jian, Yan Ying, Qiao Liping. Experimental analysis on sources and pollution characteristics of black carbon in metropolitan
	areas [J]. Journal of Harbin Institute of Technology, 2020, 52(11): 53-62.
	兰剑, 闫莹, 乔利平. 大城市城区黑碳气溶胶来源及其污染特性试验 [J]. 哈尔滨工业大学学报, 2020, 52(11): 53-62.
[25]	Cheng Ding, WU Cheng, WU Dui, et al. Characteristics of black carbon aerosols in urban Guangzhou: Influencing factors in
	dry and rainy seasons [J]. Acta Scientiae Circumstantiae, 2018, 38(6): 2223-2232.
	程丁, 吴晟, 吴兑, 等. 广州市城区干湿季黑碳气溶胶污染特征及来源分析 [J]. 环境科学学报, 2018, 38(6): 2223-2232.
[26]	Ji D S, Li L, Pang B, et al. Characterization of black carbon in an urban-rural fringe area of Beijing [J]. Environmental
	Pollution, 2017, 223: 524-534.
[27]	Luo Youbin, Luo Han, Yang Suying, et al. Observation on black carbon aerosol in spring and winter in Dunhuang area [J].
	Journal of Arid Land Resources and Environment, 2018, 32(8): 122-127.
	罗有斌, 罗汉, 杨素英, 等. 敦煌地区春冬季黑碳气溶胶观测研究 [J]. 干旱区资源与环境, 2018, 32(8): 122-127.
[28]	Qi Mengyao, Wang Litao, Zhang Chengyu, et al. Variation of black carbon aerosol concentration and its influencing factors in
	Handan City, Hebei Province [J]. Acta Scientiae Circumstantiae, 2018, 38(5): 1751-1758.
	齐孟姚, 王丽涛, 张城瑜, 等. 邯郸市黑碳气溶胶浓度变化及影响因素分析 [J]. 环境科学学报, 2018, 38(5): 1751-1758.
[29]	Zhou B H, Wang Q Y, Zhou Q, et al. Seasonal characteristics of black carbon aerosol and its potential source regions in Baoji,
	China [J]. Aerosol and Air Quality Research, 2018, 18(2): 397-406.
[30]	Brankov E, Rao S T, Porter P S. A trajectory-clustering-correlation methodology for examining the long-range transport of air
	pollutants [J]. Atmospheric Environment, 1998, 32(9): 1525-1534.
[31]	Borge R, Lumbreras J, Vardoulakis S, et al. Analysis of long-range transport influences on urban PM10 using two-stage
	atmospheric trajectory clusters [J]. Atmospheric Environment, 2007, 41(21): 4434-4450.
[32]	Wang Y Q, Zhang X Y, Draxler R R. TrajStat: GIS-based software that uses various trajectory statistical analysis methods
	to identify potential sources from long-term air pollution measurement data [J]. Environmental Modelling & Software, 2009,
24	(8): 938-939.