DOI: 10.1002/2017JD027913
Scopus记录号: 2-s2.0-85044339770
论文题名: Spatial Representativeness of PM2.5 Concentrations Obtained Using Observations From Network Stations
作者: Shi X. ; Zhao C. ; Jiang J.H. ; Wang C. ; Yang X. ; Yung Y.L.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2018
卷: 123, 期: 6 起始页码: 3145
结束页码: 3158
语种: 英语
英文关键词: network observation
; PM2.5
; representative area
; spatial variation
英文摘要: Haze has been a focused air pollution phenomenon in China, and its characterization is highly desired. Aerosol properties obtained from a single station are frequently used to represent the haze condition over a large domain, such as tens of kilometers, which could result in high uncertainties due to their spatial variation. Using a high-resolution network observation over an urban city in North China from November 2015 to February 2016, this study examines the spatial representativeness of ground station observations of particulate matter with diameters less than 2.5 μm (PM2.5). We developed a new method to determine the representative area of PM2.5 measurements from limited stations. The key idea is to determine the PM2.5 spatial representative area using its spatial variability and temporal correlation. We also determine stations with large representative area using two grid networks with different resolutions. Based on the high spatial resolution measurements, the representative area of PM2.5 at one station can be determined from the grids with high correlations and small differences of PM2.5. The representative area for a single station in the study period ranges from 0.25 to 16.25 km2 but is less than 3 km2 for more than half of the stations. The representative area varies with locations, and observation at 10 optimal stations would have a good representativeness of those obtained from 169 stations for the 4 month time scale studied. Both evaluations with an empirical orthogonal function analysis and with independent data set corroborate the validity of the results found in this study. ©2018. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/114249
Appears in Collections: 气候减缓与适应
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作者单位: State Key Laboratory of Earth Surface Processes and Resource Ecology, and College of Global Change and Earth System Science, Beijing Normal University, Beijing, China; Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA, United States; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States; Hebei Sailhero Environmental Protection Hi-tech., Ltd, Shijiazhuang, China
Recommended Citation:
Shi X.,Zhao C.,Jiang J.H.,et al. Spatial Representativeness of PM2.5 Concentrations Obtained Using Observations From Network Stations[J]. Journal of Geophysical Research: Atmospheres,2018-01-01,123(6)