CaltechAUTHORS
  A Caltech Library Service

Estimating the contribution of local primary emissions to particulate pollution using high-density station observations

Zhao, Chuanfeng and Wang, Yuan and Shi, Xiaoqin and Zhang, Daizhou and Wang, Chunying and Jiang, Jonathan H. and Zhang, Qiang and Fan, Hao (2019) Estimating the contribution of local primary emissions to particulate pollution using high-density station observations. Journal of Geophysical Research. Atmospheres, 124 (3). pp. 1648-1661. ISSN 2169-897X. http://resolver.caltech.edu/CaltechAUTHORS:20190116-074439545

[img] PDF - Accepted Version
See Usage Policy.

2040Kb

Use this Persistent URL to link to this item: http://resolver.caltech.edu/CaltechAUTHORS:20190116-074439545

Abstract

Local primary emission, transport, and secondary formation of aerosols constitute the major atmospheric particulate matter (PM) over a certain region. To identify and quantify major sources of ambient PM is important for pollution mitigation strategies, especially on a city scale. We developed two source apportionment methods to make the first‐order estimates of local primary contribution ratio (LCR) of PM_(2.5) (PM with diameter less than 2.5 μm) using the high‐density (about 1/km^2) network observations with high sampling frequency (about 1 hr). Measurements of PM_(2.5) mass concentration from 169 sites within a 20 km × 20 km domain are analyzed. The two methods developed here are mainly based on the spatial and temporal variations of PM_(2.5) within an urban area. The accuracy of our developed methods is subject to the assumptions on the spatial heterogeneity of primary and secondary formed aerosols as well as those from long‐range transport to a city. We apply these two methods to a typical industrial city in China in winter of 2015 with frequent severe haze events. The local primary pollution contributions calculated from the two methods agree with each other that they are often larger than 0.4. The LCR range is from 0.4 to 0.7, with an average value of 0.63. Our study indicates the decisive role of locally emitted aerosols in the urban severe haze formation during the winter time. It further suggests that reductions of local primary aerosol emissions are essential to alleviate the severe haze pollution, especially in industrial cities.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1029/2018jd028888DOIArticle
ORCID:
AuthorORCID
Zhao, Chuanfeng0000-0002-5196-3996
Wang, Yuan0000-0001-6657-8401
Zhang, Daizhou0000-0002-1448-2325
Jiang, Jonathan H.0000-0002-5929-8951
Zhang, Qiang0000-0002-8376-131X
Additional Information:© 2019 American Geophysical Union. Received 25 APR 2018; Accepted 10 JAN 2019; Accepted article online 15 JAN 2019; Published online 2 FEB 2019. This work was supported by the National Key R&D Program on Monitoring, Early Warning and Prevention of Major Natural Disasters under grant 2017YFC1501403, the National Natural Science Foundation of China under grant 41575143, the State Key Laboratory of Earth Surface Processes and Resource Ecology (2017‐ZY‐02), and the Fundamental Research Funds for the Central Universities (2017EYT18 and 312231103). The authors also acknowledge the support by the Division of Geology and Planetary Science, California Institute of Technology (Caltech), as well as the support by the Caltech Jet Propulsion Laboratory, sponsored by NASA. The data used in this study are available by request to Chuanfeng Zhao through czhao@bnu.edu.cn or directly downloaded from ftp: nwpc.nmc.cn under directory zhao_paper_data. We acknowledge the helpful discussions with David Diner at Jet Propulsion Laboratory and Yuanlong Huang and Lu Xu at Caltech. We also thank the three anonymous reviewers for their constructive comments.
Funders:
Funding AgencyGrant Number
Ministry of Science and Technology (Taipei)2017YFC1501403
National Natural Science Foundation of China41575143
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
Caltech Division of Geological and Planetary SciencesUNSPECIFIED
JPL/NASAUNSPECIFIED
Subject Keywords:PM2.5, local primary emission, severe haze, high‐density stations, spatial‐temporal analysis, contribution
Record Number:CaltechAUTHORS:20190116-074439545
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20190116-074439545
Official Citation:Zhao, C., Wang, Y., Shi, X., Zhang, D., Wang, C., Jiang, J. H., Zhang, Q., & Fan, H. (2019). Estimating the contribution of local primary emissions to particulate pollution using high‐density station observations. Journal of Geophysical Research: Atmospheres, 124, 1648–1661. https://doi.org/10.1029/2018JD028888
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:92305
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:22 Jan 2019 22:32
Last Modified:26 Feb 2019 19:12

Repository Staff Only: item control page