Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.5194/acp-18-15921-2018 |
Relationships between the planetary boundary layer height and surface pollutants derived from lidar observations over China: regional pattern and influencing factors | |
Su, Tianning1,2; Li, Zhanqing1,2,3,4; Kahn, Ralph5 | |
2018-11-07 | |
发表期刊 | ATMOSPHERIC CHEMISTRY AND PHYSICS |
ISSN | 1680-7316 |
EISSN | 1680-7324 |
出版年 | 2018 |
卷号 | 18期号:21页码:15921-15935 |
文章类型 | Article |
语种 | 英语 |
国家 | USA; Peoples R China |
英文摘要 | The 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 similar to 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. |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000449479800002 |
WOS关键词 | ENTRAINMENT ZONE THICKNESS ; AIR-POLLUTION ; MIXED-LAYER ; AEROSOL ; RADIOSONDE ; CALIPSO ; VARIABILITY ; WEATHER ; TRENDS ; IMPACT |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/25017 |
专题 | 地球科学 |
作者单位 | 1.Univ Maryland, Dept Atmospher & Ocean Sci, College Pk, MD 20740 USA; 2.Univ Maryland, ESSIC, College Pk, MD 20740 USA; 3.Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China; 4.Beijing Normal Univ, Coll Global Change & Earth Syst Sci, Beijing 100875, Peoples R China; 5.NASA, Climate & Radiat Lab, Div Earth Sci, Goddard Space Flight Ctr, Greenbelt, MD USA |
推荐引用方式 GB/T 7714 | Su, Tianning,Li, Zhanqing,Kahn, Ralph. Relationships between the planetary boundary layer height and surface pollutants derived from lidar observations over China: regional pattern and influencing factors[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2018,18(21):15921-15935. |
APA | Su, Tianning,Li, Zhanqing,&Kahn, Ralph.(2018).Relationships between the planetary boundary layer height and surface pollutants derived from lidar observations over China: regional pattern and influencing factors.ATMOSPHERIC CHEMISTRY AND PHYSICS,18(21),15921-15935. |
MLA | Su, Tianning,et al."Relationships between the planetary boundary layer height and surface pollutants derived from lidar observations over China: regional pattern and influencing factors".ATMOSPHERIC CHEMISTRY AND PHYSICS 18.21(2018):15921-15935. |
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