您的位置:山东大学 -> 科技期刊社 -> 《山东大学学报(工学版)》

山东大学学报 (工学版) ›› 2020, Vol. 50 ›› Issue (1): 95-100.doi: 10.6040/j.issn.1672-3961.0.2019.001

• 化学与环境 • 上一篇    下一篇

济南城区大气PM2.5、PM1.0的污染特征及大气传输

黄琦1(),杨凌霄1,2,*(),李岩岩1,姜盼1,高颖3,王文兴1   

  1. 1. 山东大学环境研究院, 山东 青岛 266237
    2. 江苏省气候变化协同创新中心,江苏 南京 210023
    3. 山东大学环境科学与工程学院, 山东 青岛 266237
  • 收稿日期:2019-01-03 出版日期:2020-02-20 发布日期:2020-02-14
  • 通讯作者: 杨凌霄 E-mail:515369992@qq.com;yanglingxiao@sdu.edu.cn
  • 作者简介:黄琦(1995—),女,山东菏泽人,硕士研究生,主要研究方向为大气细颗粒物化学组分污染特征,来源及形成机制. E-mail:515369992@qq.com
  • 基金资助:
    国家自然科学基金资助项目(21307074);国家自然科学基金资助项目(21577079)

Pollution characteristics and atmospheric transmission of PM2.5 and PM1.0 in Jinan city

Qi HUANG1(),Lingxiao YANG1,2,*(),Yanyan LI1,Pan JIANG1,Ying GAO3,Wenxing WANG1   

  1. 1. Environment Research Institute, Shandong University, Qingdao 266237, Shandong, China
    2. Jiangsu Collaborative Innovation Center for Climate Change, Nanjing 210023, Jiangsu, China
    3. School of Environmental Science and Engineering, Shandong University, Qingdao 266237, Shandong, China
  • Received:2019-01-03 Online:2020-02-20 Published:2020-02-14
  • Contact: Lingxiao YANG E-mail:515369992@qq.com;yanglingxiao@sdu.edu.cn
  • Supported by:
    国家自然科学基金资助项目(21307074);国家自然科学基金资助项目(21577079)

摘要:

为研究华北平原PM2.5、PM1.0的污染特征,于2014年10月至2016年6月在济南城区使用中流量采样器对大气颗粒物样品进行采集,利用离子色谱、碳气溶胶分析仪测定了颗粒物中的水溶性无机离子成分和碳组分。结果表明:济南城区冬季大气细颗粒污染较重,二次离子SO42-、NO3-和NH4+是PM2.5、PM1.0最主要的水溶性无机离子,且更易富集在PM1.0中。有机碳和元素碳的质量浓度表现为春夏低,秋冬高;二次有机碳的质量浓度在冬季明显升高,且大多分布在粒径>1 μm的颗粒物中。72 h后向气流轨迹表明,来自河北、内蒙古的长距离传输与山东地区的局地传输对济南大气中PM2.5和PM1.0的离子质量浓度有重要影响。济南冬季的消光系数高达789.13 Mm-1, PM2.5中的二次粒子NH4+、SO42-和NO3-与消光系数的相关性较高,是使大气能见度降低的主要因素。

关键词: PM2.5, PM1.0, 水溶性无机离子, 碳组分, 后向气流轨迹, 消光系数

Abstract:

To study the characteristics of PM2.5 and PM1.0 in the North China Plain, atmospheric particulate samples were collected from October, 2014 to June, 2016 in Jinan urban area by using mid-volume samplers. Then we determined iron composition of Water-soluble inorganic ions with ion chromatography(IC)and carbonaceous component with thermal-optical transmittance (TOT) carbon aerosol analyzer. It was shown that the fine particle pollution of the atmosphere was serious in winter. The secondary ions SO42-, NO3- and NH4+ were the major water-soluble ions of PM2.5 and PM1.0, especially easily enriched in PM1.0. Compared with autumn and winter, concentrations of organic carbon(OC) and elemental carbon (EC) were much lower in spring and summer. The mass concentration of SOC, most of which was distributed in particles with particle size >1 μm, increased obviously in winter. Indicated by the 72 h backward trajectories, long-distance transmission from Hebei and Inner Mongolia, as well as local transmission from Shan- dong had an important influence on the ion mass concentration of PM2.5 and PM1.0 in the atmosphere of Jinan. The extinction coefficient of Jinan was up to 789.13 Mm-1 in winter. The extinction coefficient had a high correlation with secondary particles NH4+, SO42- and NO3- in PM2.5, which was the chief reason of the reduction in the visibility of the atmosphere.

Key words: PM2.5, PM1.0, water-soluble inorganic ions, carbon component, back trajectory, extinction coefficient

中图分类号: 

  • X513

表1

济南城区大气PM2.5、PM1.0中主要化学成分质量浓度"

季节 成分 ρ(SO42-) ρ(NO3-) ρ(Cl -) ρ(NH4+) ρ(Na+) ρ(K+) ρ(Mg2+) ρ(Ca2+) ρ(OC) ρ(EC) ρ(SOC)
春季 PM2.5 13.83±8.08 17.18±10.80 2.07±1.87 11.15±8.31 0.51±0.42 0.84±0.45 0.30±0.23 4.58±4.25 13.30±4.12 2.25±1.12 5.91±2.25
PM1.0 10.01±4.58 13.81±9.34 1.58±1.38 8.62±4.81 0.34±0.25 0.67±0.29 0.21±0.12 3.19±2.09 11.35±3.19 1.89±0.91 4.14±2.24
PM1.0/PM2.5 0.81±0.26 0.80±0.22 0.84±0.32 0.78±0.36 0.71±0.35 0.86±0.31 0.68±0.32 0.70±0.39 0.86±0.21 0.89±0.35 0.70±0.36
夏季 PM2.5 20.64±13.41 10.06±9.81 0.63±0.61 17.06±7.69 0.29±0.10 0.39±0.20 0.06±0.05 0.48±0.26 7.72±2.03 1.00±0.47 3.06±0.97
PM1.0 12.43±3.83 7.05±5.36 0.41±0.29 9.54±4.43 0.15±0.12 0.32±0.10 0.06±0.02 0.25±0.21 5.89±1.58 0.87±0.48 2.76±1.09
PM1.0/PM2.5 0.65±0.63 0.98±0.67 0.78±0.61 0.70±0.47 0.52±0.47 0.72±0.48 0.47±0.54 0.86±0.53 0.79±0.14 0.88±0.14 0.75±0.24
秋季 PM2.5 16.25±9.81 19.02±11.53 4.15±3.28 13.54±7.16 0.46±0.18 1.26±0.64 0.19±0.13 2.23±2.16 18.15±4.54 3.81±2.12 7.26±3.50
PM1.0 9.02±4.24 13.60±6.15 2.42±1.32 8.17±4.41 0.27±0.12 0.80±0.38 0.10±0.08 1.49±0.96 10.09±5.01 1.57±0.84 3.27±1.94
PM1.0/PM2.5 0.61±0.24 0.75±0.25 0.67±0.25 0.61±0.23 0.60±0.22 0.66±0.24 0.43±0.26 0.42±0.23 0.65±0.16 0.76±0.16 0.48±0.20
冬季 PM2.5 15.32±9.31 19.06±9.79 3.93±3.17 13.28±6.36 0.31±0.17 1.15±0.64 0.23±0.17 5.78±3.82 19.06±9.79 4.62±2.19 16.91±7.00
PM1.0 8.39±3.65 14.01±8.01 2.15±1.91 7.21±1.98 0.17±0.12 0.60±0.20 0.18±0.09 2.45±1.31 10.57±5.42 2.61±1.21 2.56±2.06
PM1.0/PM2.5 0.56±0.59 0.76±0.63 0.59±0.57 0.57±0.70 0.61±0.66 0.76±0.75 0.89±0.38 0.44±0.31 0.51±0.36 0.60±0.14 0.15±0.09

表2

济南城区大气PM2.5、PM1.0中ρ(NO3-)/ρ(SO42-)"

季节 PM2.5 PM1.0 季节均值
1.39±0.80 1.34±0.51 1.37±0.66
0.46±0.32 0.52±0.33 0.49±0.33
1.33±0.56 1.68±0.59 1.51±0.58
1.33±0.36 1.79±0.48 1.56±0.42
年均 1.13±0.51 1.33±0.48 1.23±0.50

图1

济南城区大气PM2.5及PM1.0中OC、EC相关性的季节变化"

图2

采样期间济南大气72 h后向气流轨迹簇浓度分析"

图3

消光系数的季节性变化"

图4

PM2.5中各种成分对消光系数的贡献"

1 TSAI J H , LIN J H , YAO Y C , et al. Size distribution and water soluble ions of ambient particulate matter on episode and non-episode days in Southern Taiwan[J]. Aerosol & Air Quality Research, 2012, 12 (2): 263- 274.
2 LI L , TAN Q , ZHANG Y , et al. Characteristics and source apportionment of PM2.5 during persistent extreme haze events in Chengdu, Southwest China[J]. Environmental Pollution, 2017, 230, 718.
doi: 10.1016/j.envpol.2017.07.029
3 叶兴南, 陈建民. 灰霾与颗粒物吸湿增长[J]. 自然杂志, 2013, 35 (5): 334- 341.
YE Xingnan , CHEN Jianmin . Haze and hygroscopic growth[J]. Chinese Journal of Nature, 2013, 35 (5): 334- 341.
4 吕爱梅.大气污染区域联防联控机制研究[D].厦门:厦门大学, 2017.
LYU Aimei. Legal issues of the synergic prevention and control on air[D]. Xiamen: Xiamen University, 2017.
5 韩朴. 2014年中国主要大气污染物时空特征分析[D].西宁:青海师范大学, 2015.
HAN Pu. Analysis of characteristics of time and space about main atmospheric pollutants in China, 2014[D]. Xining: Qinghai Normal University, 2015.
6 杨雨蒙, 杨凌霄, 张俊美, 等. 济南市冬季灰霾日PM1.0和PM1.0-2.5污染特征[J]. 山东大学学报(工学版), 2017, 47 (2): 111- 116.
YANG Yumeng , YANG Lingxiao , ZHANG Junmei , et al. Characteristics of PM1.0and PM1.0-2.5 in haze days during winter in Jinan[J]. Journal of Shandong University (Engineering Science), 2017, 47 (2): 111- 116.
7 杨凌霄, 侯鲁健, 吕波, 等. 济南市大气细颗粒物水溶性组分及大气传输的研究[J]. 山东大学学报(工学版), 2007, 37 (4): 98- 103.
doi: 10.3969/j.issn.1672-3961.2007.04.021
YANG Lingxiao , HOU Lujian , LYU Bo , et al. Study on the water-soluble ions in fine particle matter and the long-range transport of air masses in the city of Jinan[J]. Journal of Shandong University (Engineering Science), 2007, 37 (4): 98- 103.
doi: 10.3969/j.issn.1672-3961.2007.04.021
8 杨凌霄.济南市大气PM2.5污染特征、来源解析及其对能见度的影响[D].济南:山东大学, 2008.
YANG Lingxiao. Characteristics source apportionment and influence on visual range of PM2.5in Jinan[D]. Jinan: Shandong University, 2008.
9 GAFFNEY J S , MARLEY N A . Atmospheric chemistry and air pollution[J]. The Scientific World Journal, 2003, 3 (7): 199- 234.
10 BUFALINI , Marijon . Oxidation sulfur dioxide in polluted atmospheres: review[J]. Environmental Science & Technology, 1971, 5 (8): 685- 700.
11 HALSTEAD J A , ARMSTRONG R , POHLMAN B , et al. Nonaqueous heterogeneous oxidation of sulfur dioxide[J]. The Journal of Physical Chemistry, 1990, 94 (8): 3261- 3265.
doi: 10.1021/j100371a008
12 PANT P , SHI Z , POPE F D , et al. Characterization of traffic-related particulate matter emissions in a road tunnel in Birmingham, UK: trace metals and organic molecular markers[J]. Aerosol and Air Quality Research, 2017, 17 (1): 117- 130.
doi: 10.4209/aaqr.2016.01.0040
13 古金霞, 吴丽萍, 霍光耀, 等. 天津市PM2.5中水溶性无机离子污染特征及来源分析[J]. 中国环境监测, 2013, 29 (3): 30- 34.
doi: 10.3969/j.issn.1002-6002.2013.03.006
GU Jinxia , WU Liping , HUO Guangyao , et al. Pollution character and source of water-soluble inorganic ions in PM2.5 over Tianji[J]. Environmental Monitoring in China, 2013, 29 (3): 30- 34.
doi: 10.3969/j.issn.1002-6002.2013.03.006
14 YAO X , CHAN C K , FANG M , et al. The water-soluble ionic composition of PM2.5 in Shanghai and Beijing, China[J]. Atmospheric Environment, 2002, 36 (26): 4223- 4234.
doi: 10.1016/S1352-2310(02)00342-4
15 贺克斌, 杨复沫, 段凤魁, 等. 大气颗粒物与区域复合污染[M]. 北京: 科学出版社, 2011: 234- 235.
HE Kebin , YANG Fumo , DUAN Fengkui , et al. Atmospheric particulate matter and regional composite pollution[M]. Beijing: Science Press, 2011: 234- 235.
16 PASTUSZKA J S , WAWRO S A , TALIK E , et al. Optical and chemical characteristics of the atmospheric aerosol in four towns in southern Poland[J]. Science of the Total Environment, 2003, 309 (1-3): 237- 251.
doi: 10.1016/S0048-9697(03)00044-5
17 洪理靖, 王琨, 黄丽坤, 等. 采暖期大气颗粒物PM1.0和PM2.5中水溶性离子污染特征[J]. 中国环境监测, 2016, 32 (4): 98- 103.
HONG Lijing , WANG Kun , HUANG Likun , et al. Pollution characteristics of water-soluble ions in PM1.0 and PM2.5 in heating period[J]. Environmental Monitoring in China, 2016, 32 (4): 98- 103.
18 郑永杰, 刘佳, 田景芝, 等. 齐齐哈尔市春季大气中PM2.5的污染特征分析[J]. 中国环境监测, 2014, 30 (4): 76- 81.
doi: 10.3969/j.issn.1002-6002.2014.04.013
ZHENG Yongjie , LIU Jia , TIAN Jingzhi , et al. Pollution characteristics of PM2.5 in the Spring of Qiqihar atmosphere[J]. Environmental Monitoring in China, 2014, 30 (4): 76- 81.
doi: 10.3969/j.issn.1002-6002.2014.04.013
19 SCHMIDL C , MARR I L , CASERIO A , et al. Chemical characterizations of fine particle emissions from wood stove combustion of common woods growing in mid-European alpine regions[J]. Atmospheric Environment, 2008, 42 (1): 126- 141.
doi: 10.1016/j.atmosenv.2007.09.028
20 王珉, 胡敏. 青岛沿海地区大气气溶胶浓度与主要无机化学组成[J]. 环境科学, 2001, 22 (1): 6- 9.
WANG Min , HU Min . Mass concentration and major inorganic compositions of coastal aerosol in Qingdao[J]. Environmental Science, 2001, 22 (1): 6- 9.
21 李英红, 段菁春, 郑乃嘉, 等. 兰州大气细颗粒物中有机碳与元素碳的污染特征[J]. 中国科学院大学学报, 2015, 32 (4): 490- 497.
LI Yinghong , DUAN Jingchun , ZHENG Naijia , et al. Characteristics of organic and element carbon in fine particles in Lanzhou[J]. Journal of University of Chinese Academy of Sciences, 2015, 32 (4): 490- 497.
22 安欣欣, 赵越, 魏强, 等. 北京城区PM2.5中有机碳和元素碳的变化特征[J]. 环境科学与技术, 2015, 38 (8): 214- 219.
AN Xinxin , ZHAO Yue , WEI Qiang , et al. Characteristics of organic carbon and elemental carbon in PM2.5 in urban of Beijing[J]. Environmental Science & Technology, 2015, 38 (8): 214- 219.
23 彭超, 翟崇治, 王欢博, 等. 万州城区夏季、冬季PM2.5中有机碳和元素碳的浓度特征[J]. 环境科学学报, 2015, 35 (6): 1638- 1644.
PENG Chao , ZHAI Chongzhi , WANG Huanbo , et al. Characteristics of organic carbon and elemental carbon in PM2.5 in the urban Wanzhou area in summer and winter[J]. Acta Scientiae Circumstantiae, 2015, 35 (6): 1638- 1644.
24 LIN J J . Characterization of the major chemical species in PM2.5 in the Kaohsiung city, Taiwan[J]. Atmospheric Environment, 2002, 36 (12): 1911- 1920.
doi: 10.1016/S1352-2310(02)00193-0
25 KONDO Y , TAKEGAWA N , SUNGHE E . Characteristics and the origins of the carbonaceous aerosol at a rural site of PRD in Summer 2006[J]. Atmospheric Chemistry & Physics Discussions, 2011, 11 (7): 21601- 21629.
26 LIM H J , TURPIN B J . Origins of primary and secondary organic aerosol in Atlanta: results of time-resolved measurements during the Atlanta supersite experiment[J]. Environmental Science & Technology, 2002, 36 (21): 4489.
27 SAHU L K , KONDO Y , MIYAZAKI Y , et al. Seasonal and diurnal variations of black carbon and organic carbon aerosols in Bangkok[J]. Journal of Geophysical Research Atmospheres, 2011, 116 (D15302): 1- 14.
28 MARC P , WILLIAM M , BRET S , et al. Revised algorithm for estimating light extinction from IMPROVE particle speciation data[J]. Journal of the Air & Waste Management Association, 2007, 57 (11): 1326- 1336.
29 张国华.城市大气气溶胶混合状态的初步研究[D].北京:中国科学院大学, 2013.
ZHANG Guohua. Preliminary study on the mixed state of atmospheric aerosol in cities[D].Beijing: University of Chinese Academy of Sciences, 2013.
30 钱冉冉.厦门岛城区大气PM2.5的污染特征和来源解析及灰霾预报初探[D].厦门:厦门大学, 2012.
QIAN Ranran. Pollution characteristics, source apportionment of PM2.5 and primary discussion for haze forecast in urban Xiamen[D]. Xiamen: Xiamen University, 2012.
31 陈丽.重庆市主城区大气能见度变化特征及影响因子分析[D].重庆:重庆工商大学, 2015.
CHEN Li. Analysis of characteristics of changes in atmospheric visibility and impact factories of Chongqing urban area[D]. Chongqing: Chongqing Technology and Business University, 2015.
[1] 段升飞,杨凌霄,李静姝,高洪亮,张婉,张雄飞,齐安安,王鹏程,王浥铭,庹雄. 农村地区不同炉具和燃料排放PM1.0中多环芳烃的排放特征[J]. 山东大学学报 (工学版), 2021, 51(1): 120-127.
[2] 张婉,杨凌霄,张雄飞,严伟达,王新锋,文亮,赵彤,王文兴. 山东农村和背景地区雾霾天与清洁天气溶胶光学特性[J]. 山东大学学报 (工学版), 2020, 50(4): 119-126.
[3] 杨雨蒙,杨凌霄,张俊美,王文兴. 济南市冬季灰霾日PM1.0和PM1.0—2.5污染特征[J]. 山东大学学报(工学版), 2017, 47(2): 111-116.
[4] 刘杰, 杨鹏, 吕文生, 刘阿古达木, 刘俊秀. 基于气象因素的PM2.5质量浓度预测模型[J]. 山东大学学报(工学版), 2015, 45(6): 76-83.
[5] 郑毅, 朱成璋. 基于深度信念网络的PM2.5预测[J]. 山东大学学报(工学版), 2014, 44(6): 19-25.
[6] 杨凌霄,侯鲁健,吕波,王文兴,周学华,王哲,周杨,程淑会 . 济南市大气细颗粒物水溶性组分及大气传输的研究[J]. 山东大学学报(工学版), 2007, 37(4): 98-103 .
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] 季涛,高旭,孙同景,薛永端,徐丙垠 . 铁路10 kV自闭/贯通线路故障行波特征分析[J]. 山东大学学报(工学版), 2006, 36(2): 111 -116 .
[2] 孙从征,管从胜,秦敬玉,程川 . 铝合金化学镀镍磷合金结构和性能[J]. 山东大学学报(工学版), 2007, 37(5): 108 -112 .
[3] 王佰伟,曹升乐 . 工业废水治理效果多目标评价方法研究[J]. 山东大学学报(工学版), 2007, 37(3): 89 -92 .
[4] 丑武胜 王朔. 大刚度环境下力反馈主手自适应算法研究[J]. 山东大学学报(工学版), 2010, 40(1): 1 -5 .
[5] 曹刚 董朝阳 黄洁宝 薛禹胜. 应用FACTS装置实现电力系统区间震荡阻尼控制[J]. 山东大学学报(工学版), 2009, 39(3): 31 -36 .
[6] 李贻斌,阮久宏,刘鲁源,宋 锐,荣学文 . 车辆纵向加速度自抗扰控制研究[J]. 山东大学学报(工学版), 2008, 38(4): 1 -04 .
[7] 施来顺,万忠义 . 新型甜菜碱型沥青乳化剂的合成与性能测试[J]. 山东大学学报(工学版), 2008, 38(4): 112 -115 .
[8] 余嘉元1 , 田金亭1 , 朱强忠2 . 计算智能在心理学中的应用[J]. 山东大学学报(工学版), 2009, 39(1): 1 -5 .
[9] 胡天亮,李鹏,张承瑞,左毅 . 基于VHDL的正交编码脉冲电路解码计数器设计[J]. 山东大学学报(工学版), 2008, 38(3): 10 -13 .
[10] 徐丽丽,季忠,夏继梅 . 同规格货物装箱问题的优化计算[J]. 山东大学学报(工学版), 2008, 38(3): 14 -17 .