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Relationships Between the Planetary Boundary Layer Height and Surface Pollutants Derived from Lidar Observations over China: Regional Pattern and Influencing FactorsThe frequent occurrence of severe air pollution episodes in China has been a great concern and thus the focus of intensive studies. Planetary boundary layer height (PBLH) is a key factor in the vertical mixing and dilution of near-surface pollutants. However, the relationship between PBLH and surface pollutants, especially particulate matter (PM) concentration across China, is not yet well understood. We investigate this issue at 1600 surface stations using PBLH derived from space-borne and ground-based lidar, and discuss the influence of topography and meteorological variables on the PBLH–PM relationship. Albeit the PBLH–PM correlations are roughly negative for most cases, their magnitude, significance, and even sign vary considerably with location, season, and meteorological conditions. Weak or even uncorrelated PBLH–PM relationships are found over clean regions (e.g., Pearl River Delta), whereas nonlinearly negative responses of PM to PBLH evolution are found over polluted regions (e.g., North China Plain). Relatively strong PBLH–PM interactions are found when the PBLH is shallow and PM concentration is high, which typically corresponds to wintertime cases. Correlations are much weaker over the highlands than the plains regions, which may be associated with lighter pollution loading at higher elevations and contributions from mountain breezes. The influence of horizontal transport on surface PM is considered as well, manifested as a negative correlation between surface PM and wind speed over the whole nation. Strong wind with clean upwind air plays a dominant role in removing pollutants, and leads to obscure PBLH–PM relationships. A ventilation rate is used to jointly consider horizontal and vertical dispersion, which has the largest impact on surface pollutant accumulation over the North China Plain. As such, this study contributes to improved understanding of aerosol–planetary boundary layer (PBL) interactions and thus our ability to forecast surface air pollution.
Document ID
20190001533
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Su, Tianning
(Maryland Univ. College Park, MD, United States)
Li, Zhanqing
(Maryland Univ. College Park, MD, United States)
Kahn, Ralph
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Date Acquired
March 12, 2019
Publication Date
November 7, 2018
Publication Information
Publication: Atmospheric Chemistry and Physics
Publisher: European Geophysical Union
Volume: 18
Issue: 21
ISSN: 1680-7316
e-ISSN: 1680-7324
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
GSFC-E-DAA-TN62890
Funding Number(s)
CONTRACT_GRANT: NSFC 91544217
CONTRACT_GRANT: AGS1534670
CONTRACT_GRANT: 2017YFC1501702
Distribution Limits
Public
Copyright
Other

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