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Spatial Representativeness of PM_(2.5) Concentrations Obtained Using Reduced Number of Network Stations

Shi, Xiaoqin and Zhao, Chuanfeng and Jiang, Jonathan H. and Wang, Chunying and Yang, Xin and Yung, Yuk L. (2018) Spatial Representativeness of PM_(2.5) Concentrations Obtained Using Reduced Number of Network Stations. Journal of Geophysical Research. Atmospheres, 123 (6). pp. 3145-3158. ISSN 2169-897X. https://resolver.caltech.edu/CaltechAUTHORS:20180306-092026843

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Abstract

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 (PM_(2.5)). We developed a new method to determine the representative area of PM_(2.5) measurements from limited stations. The key idea is to determine the PM_(2.5) 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 PM_(2.5) at one station can be determined from the grids with high correlations and small differences of PM_(2.5). The representative area for a single station in the study period ranges from 0.25 to 16.25 km^2, but is less than 3 km^2 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 four-month time scale studied. Both evaluations with an empirical orthogonal function (EOF) analysis and with independent dataset corroborate the validity of the results found in this study.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1002/2017JD027913DOIArticle
http://onlinelibrary.wiley.com/doi/10.1002/2017JD027913/abstractPublisherArticle
ORCID:
AuthorORCID
Zhao, Chuanfeng0000-0002-5196-3996
Jiang, Jonathan H.0000-0002-5929-8951
Yang, Xin0000-0001-5111-2959
Yung, Yuk L.0000-0002-4263-2562
Additional Information:© 2018 American Geophysical Union. Received 18 OCT 2017; Accepted 27 FEB 2018; Accepted article online 5 MAR 2018; Published online 25 MAR 2018. This work was supported by the Ministry of Science and Technology of China (grant 2017YFC1501403, 2013CB955802, 2012AA120901), the National Natural Science Foundation of China (grant 41575143), the China “1000 plan” young scholar program, the State Key Laboratory of Earth Surface Processes and Resource Ecology (2017-ZY-02), the Fundamental Research Funds for the Central Universities (2017EYT18, 312231103). The authors also acknowledge the support by the Jet Propulsion Laboratory, California Institute of Technology, sponsored by NASA. The data used in this study are available by request to Chuanfeng Zhao through czhao@bnu.edu.cn, or downloaded directly from ftp: nwpc.nmc.cn (user: pub, pswd: verygood) under directory zhao_paper_data.
Group:Astronomy Department
Funders:
Funding AgencyGrant Number
Ministry of Science and Technology (Taipei)2017YFC1501403
Ministry of Science and Technology (Taipei)2013CB955802
Ministry of Science and Technology (Taipei)2012AA120901
National Natural Science Foundation of China41575143
China “1000 Plan” Young Scholar ProgramUNSPECIFIED
State Key Laboratory of Earth Surface Processes and Resource Ecology2017-ZY-02
Fundamental Research Funds for the Central Universities2017EYT18
Fundamental Research Funds for the Central Universities312231103
NASA/JPL/CaltechUNSPECIFIED
Subject Keywords:Representation area; PM2.5; Spatial variation; Network observation
Issue or Number:6
Record Number:CaltechAUTHORS:20180306-092026843
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20180306-092026843
Official Citation:Shi, X., Zhao, C., Jiang, J. H., Wang, C., Yang, X., & Yung, Y. L. (2018). Spatial representativeness of PM2.5 concentrations obtained using observations from network stations. Journal of Geophysical Research: Atmospheres, 123, 3145–3158. https://doi.org/10.1002/2017JD027913
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:85130
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:06 Mar 2018 17:37
Last Modified:20 Apr 2020 08:47

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