Classifying Aerosols Based on Fuzzy Clustering and Their Optical and Microphysical Properties Study in Beijing, China
Joint Authors
Xu, Hui
Zheng, Fengjie
Zhang, Wenhao
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-07-24
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Abstract EN
Classification of Beijing aerosol is carried out based on clustering optical properties obtained from three Aerosol Robotic Network (AERONET) sites.
The fuzzy c-mean (FCM) clustering algorithm is used to classify fourteen-year (2001–2014) observations, totally of 6,732 records, into six aerosol types.
They are identified as fine particle nonabsorbing, two kinds of fine particle moderately absorbing (fine-MA1 and fine-MA2), fine particle highly absorbing, polluted dust, and desert dust aerosol.
These aerosol types exhibit obvious optical characteristics difference.
While five of them show similarities with aerosol types identified elsewhere, the polluted dust aerosol has no comparable prototype.
Then the membership degree, a significant parameter provided by fuzzy clustering, is used to analyze internal variation of optical properties of each aerosol type.
Finally, temporal variations of aerosol types are investigated.
The dominant aerosol types are polluted dust and desert dust in spring, fine particle nonabsorbing aerosol in summer, and fine particle highly absorbing aerosol in winter.
The fine particle moderately absorbing aerosol occurs during the whole year.
Optical properties of the six types can also be used for radiative forcing estimation and satellite aerosol retrieval.
Additionally, methodology of this study can be applied to identify aerosol types on a global scale.
American Psychological Association (APA)
Zhang, Wenhao& Xu, Hui& Zheng, Fengjie. 2017. Classifying Aerosols Based on Fuzzy Clustering and Their Optical and Microphysical Properties Study in Beijing, China. Advances in Meteorology،Vol. 2017, no. 2017, pp.1-18.
https://search.emarefa.net/detail/BIM-1122647
Modern Language Association (MLA)
Zhang, Wenhao…[et al.]. Classifying Aerosols Based on Fuzzy Clustering and Their Optical and Microphysical Properties Study in Beijing, China. Advances in Meteorology No. 2017 (2017), pp.1-18.
https://search.emarefa.net/detail/BIM-1122647
American Medical Association (AMA)
Zhang, Wenhao& Xu, Hui& Zheng, Fengjie. Classifying Aerosols Based on Fuzzy Clustering and Their Optical and Microphysical Properties Study in Beijing, China. Advances in Meteorology. 2017. Vol. 2017, no. 2017, pp.1-18.
https://search.emarefa.net/detail/BIM-1122647
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1122647