Classifying Aerosols Based on Fuzzy Clustering and Their Optical and Microphysical Properties Study in Beijing, China

المؤلفون المشاركون

Xu, Hui
Zheng, Fengjie
Zhang, Wenhao

المصدر

Advances in Meteorology

العدد

المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-18، 18ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2017-07-24

دولة النشر

مصر

عدد الصفحات

18

التخصصات الرئيسية

الفيزياء

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1122647