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Characteristics of ventilation coefficient and its impact on urban air pollution

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Abstract

The temporal variation of ventilation coefficient was estimated and a simple model for the prediction of urban ventilation coefficient in Changsha was developed. Firstly, Pearson correlation analysis was used to investigate the relationship between meteorological parameters and mixing layer height during 2005–2009 in Changsha, China. Secondly, the multi-linear regression model between daytime and nighttime was adopted to predict the temporal ventilation coefficient. Thirdly, the validation of the model between the predicted and observed ventilation coefficient in 2010 was conducted. The results showed that ventilation coefficient significantly varied and remained high during daytime, while it stayed relatively constant and low during nighttime. In addition, the diurnal ventilation coefficient was distinctly negatively correlated with PM10 (particle with the diameter less than 10 μm) concentration in Changsha, China. The predicted ventilation coefficient agreed well with the observed values based on the multi-linear regression models during daytime and nighttime. The urban temporal ventilation coefficient could be accurately predicted by some simple meteorological parameters during daytime and nighttime. The ventilation coefficient played an important role in the PM10 concentration level.

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Authors and Affiliations

  1. School of Energy Science and Engineering, Central South University, Changsha, 410083, China

    Chan Lu  (路婵), Qi-hong Deng  (邓启红), Wei-wei Liu  (刘蔚巍), Bo-liang Huang  (黄柏良) & Ling-zhi Shi  (石灵芝)

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  1. Chan Lu  (路婵)
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  2. Qi-hong Deng  (邓启红)
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  3. Wei-wei Liu  (刘蔚巍)
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  4. Bo-liang Huang  (黄柏良)
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  5. Ling-zhi Shi  (石灵芝)
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Corresponding author

Correspondence to Qi-hong Deng  (邓启红).

Additional information

Foundation item: Project(51178466) supported by the National Natural Science Foundation of China; Project(FANEDD200545) supported by Foundation for the Author of National Excellent Doctoral Dissertation of China; Project(2011JQ006) supported by Fundamental Research Funds of the Central Universities of China

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Lu, C., Deng, Qh., Liu, Ww. et al. Characteristics of ventilation coefficient and its impact on urban air pollution. J. Cent. South Univ. Technol. 19, 615–622 (2012). https://doi.org/10.1007/s11771-012-1047-9

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  • DOI: https://doi.org/10.1007/s11771-012-1047-9

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