Vertical Distribution of Particulate Matter and its Relationship with Planetary Boundary Layer Structure in Shenyang, Northeast China

被引:37
作者
Li, Xiaolan [1 ]
Ma, Yanjun [1 ]
Wei, Wei [2 ]
Zhang, Yunhai [1 ]
Liu, Ningwei [1 ]
Hong, Ye [1 ]
Wang, Yangfeng [1 ]
机构
[1] China Meteorol Adm, Inst Atmospher Environm, Shenyang 110166, Liaoning, Peoples R China
[2] Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
Vertical distribution; Particulate matter; Planetary boundary layer structure; Air pollution; Northeast China; LOW-LEVEL JETS; AIR-POLLUTION; URBAN AREA; METEOROLOGICAL PARAMETERS; LOWER TROPOSPHERE; FIELD-EVALUATION; HUMAN HEALTH; PM2.5; IMPACT; PM10;
D O I
10.4209/aaqr.2019.06.0311
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The impact of the planetary boundary layer (PBL) structure on the vertical distribution of aerosols in Northeast China, which experiences air pollution frequently in autumn and winter, is not well understood. We investigated the characteristics of the vertical distribution of particulate matter (PM1, PM2.5, and PM10) mass concentrations and their relationships with PBL structures in Shenyang, a provincial capital city in Northeast China, using balloon sounding data collected during an intensive observation period in November 2018. Aerosols typically decreased with increases in height and were mostly distributed below 400 m at night and reached higher altitudes (similar to 800 m) in the daytime due to convective turbulence. The concentration ratios of PM1/PM2.5 and PM2.5/PM10 measured about 0.6 and 0.8, respectively, below 0.6-1.0 km during the daytime, and below 0.5 km at nighttime. On average, stronger atmospheric stability resulted in greater vertical gradients and higher PM concentrations near the surface. During four air pollution episodes (November 1-4, 7-10, 14-15, and 25-27), when atmospheric stability was strong at night, aerosols tended to remain in a shallow stable surface layer (< 300 m) and at the bottom of a residual layer (250-500 m) due to weak vertical mixing. After sunrise, these aerosols were mixed uniformly in the PBL (the depth increasing from 200 m to more than 1 km), subsequently affecting surface air quality. In addition, strong wind speeds and wind shears caused by nocturnal low-level jets and cold front systems influenced the formation and evolution of air pollution episodes. These processes controlled aerosol transport/dispersion processes and can modify atmospheric stability and PBL height. These results have important implications for understanding the vertical distribution of aerosols, and the crucial roles that PBL structures play in modulating aerosol pollution in Shenyang.
引用
收藏
页码:2464 / 2476
页数:13
相关论文
共 64 条
  • [1] Anderson JO, 2012, J MED TOXICOL, V8, P166, DOI 10.1007/s13181-011-0203-1
  • [2] Atmospheric Particulate Pollutants and their Relationship with Meteorology in Ahmedabad
    Bhaskar, B. Vijay
    Mehta, Vikram M.
    [J]. AEROSOL AND AIR QUALITY RESEARCH, 2010, 10 (04) : 301 - 315
  • [3] Tethered balloon-born and ground-based measurements. of black carbon and particulate profiles within the lower troposphere during the foggy period in Delhi, India
    Bisht, D. S.
    Tiwari, S.
    Dumka, U. C.
    Srivastava, A. K.
    Safai, P. D.
    Ghude, S. D.
    Chate, D. M.
    Rao, P. S. P.
    Ali, K.
    Prabhakaran, T.
    Panickar, A. S.
    Soni, V. K.
    Attri, S. D.
    Tunved, P.
    Chakrabarty, R. K.
    Hopke, P. K.
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2016, 573 : 894 - 905
  • [4] Long-term field comparison of multiple low-cost particulate matter sensors in an outdoor urban environment
    Bulot, Florentin M. J.
    Johnston, Steven J.
    Basford, Philip J.
    Easton, Natasha H. C.
    Apetroaie-Cristea, Mihaela
    Foster, Gavin L.
    Morris, Andrew K. R.
    Cox, Simon J.
    Loxham, Matthew
    [J]. SCIENTIFIC REPORTS, 2019, 9 (1)
  • [5] Smart Citizen Kit and Station: An open environmental monitoring system for citizen participation and scientific experimentation
    Camprodon, Guillem
    Gonzalez, Oscar
    Barberan, Victor
    Perez, Maximo
    Smari, Viktor
    Angel de Heras, Miguel
    Bizzotto, Alejandro
    [J]. HARDWAREX, 2019, 6
  • [6] Characteristics of vertical profiles and sources of PM2.5, PM10 and carbonaceous species in Beijing
    Chan, CY
    Xu, XD
    Li, YS
    Wong, KH
    Ding, GA
    Chan, LY
    Cheng, XH
    [J]. ATMOSPHERIC ENVIRONMENT, 2005, 39 (28) : 5113 - 5124
  • [7] Humidity plays an important role in the PM2.5 pollution in Beijing
    Cheng, Yuan
    He, Ke-bin
    Du, Zhen-yu
    Zheng, Mei
    Duan, Feng-kui
    Ma, Yong-liang
    [J]. ENVIRONMENTAL POLLUTION, 2015, 197 : 68 - 75
  • [8] Airborne particulate matter and human health: A review
    Davidson, CI
    Phalen, RF
    Solomon, PA
    [J]. AEROSOL SCIENCE AND TECHNOLOGY, 2005, 39 (08) : 737 - 749
  • [9] Vertical distribution characteristics of PM in the surface layer of Guangzhou
    Deng, Xuejiao
    Li, Fei
    Li, Yuanhong
    Li, Jianyong
    Huang, Hongzhi
    Liu, Xiantong
    [J]. PARTICUOLOGY, 2015, 20 : 3 - 9
  • [10] Aircraft observations of dust and pollutants over northeast China: Insight into the meteorological mechanisms of transport
    Dickerson, R. R.
    Li, C.
    Li, Z.
    Marufu, L. T.
    Stehr, J. W.
    McClure, B.
    Krotkov, N.
    Chen, H.
    Wang, P.
    Xia, X.
    Ban, X.
    Gong, F.
    Yuan, J.
    Yang, J.
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2007, 112 (D24)