PM 10 weekly periodicity in Beijing and Tianjin, 2000-2009: Anthropogenic or natural contributions?

Yong Sang Choi, Bo Ram Kim

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4 Scopus citations


This study investigates the weekly periodicity of PM 10 (aerosol particulate matter with a diameter <10 μm) mass concentrations over Beijing and Tianjin as well as its relationship with synoptic-scale weather variability. The two cities are large air pollutant source regions that are often affected by the same weather system due to their close proximity. Comparison of the two cities, therefore, advances our understanding of the contributions of the weather variability (or anthropogenic emissions) to the weekly periodicity of PM 10. Here we analyze PM 10 anomalies against weekly means over the past 10 years (2000-2009) on the frequency domain using a fast Fourier transform. Results show that the interannual variabilities of PM 10 weekly periodicity, defined as the ratio of 6-8-day variance to 2-14-day variance, between Beijing and Tianjin are correlated in the summer and fall, but are uncorrelated in the spring. In the fall, the higher correlation of PM 10 weekly periodicity between the two cities may be associated with strong influence of the natural weather variability as represented by 850-hPa geopotential height, surface diurnal temperature range, and 1000-hPa wind. However, in the spring and summer, the influence of the weather variability on the PM 10 weekly periodicity was not identified. The weather variability accounts for 0-85% of the PM 10 weekly periodicity variation, with the maximal value in Beijing in the fall. These findings suggest that contribution of the weather variability to shaping the PM 10 weekly periodicity over Beijing and Tianjin is restrictive and transient.

Original languageEnglish
Pages (from-to)49-55
Number of pages7
JournalAtmospheric Environment
StatePublished - Aug 2012

Bibliographical note

Funding Information:
This study is supported by a National Research Foundation of Korea (NRF) grant funded by the Korean government (MEST) ( 2012-0000857 ).


  • Aerosol
  • PM
  • Spectral analysis
  • Weekly cycle
  • Weekly periodicity


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