Qiaoli Bu1,2, Yingying Hong This email address is being protected from spambots. You need JavaScript enabled to view it.2, Haobo Tan This email address is being protected from spambots. You need JavaScript enabled to view it.1,2,3, Li Liu3, Chunlin Wang4, Jianjun Zhu5, Pakwai Chan6, Chen Chen1 

1 Meteorological Bureau of Foshan City, Foshan 528227, China
2 Ecological Meteorology Center of Guangdong Province, Guangzhou 510640, China
3 Key Laboratory of Regional Numerical Weather Prediction, Guangzhou Institute of Tropical and Marine Meteorology, Guangzhou 510080, China
4 Guangzhou Climate and Agrometeorology Center, Guangzhou 510080, China
5 Meteorological Bureau of Liwan District, Guangzhou 510000,China
6 Hong Kong Observatory, Hong Kong, China


 

Received: March 2, 2020
Revised: June 28, 2020
Accepted: July 3, 2020

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.


Download Citation: ||https://doi.org/10.4209/aaqr.2020.03.0084  

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Cite this article:

Bu, Q., Hong, Y., Tan, H., Liu, L., Wang, C., Zhu, J., Chan, P. and Chen, C. (2020). The Modulation of Meteorological Parameters on Surface PM2.5 and O3 Concentrations in Guangzhou, China. Aerosol Air Qual. Res. https://doi.org/10.4209/aaqr.2020.03.0084


HIGHLIGHTS

  • The critical values of key meteorological parameters were quantified.
  • Guangzhou was likely to suffer from severe air pollution under westerly wind.
  • The weather condition was the most unfavorable to air quality in 2014.
 

ABSTRACT


PM2.5 and ozone (O3) are two major pollutants that are worsening air quality in China. Using Guangzhou as a case study, we analyzed the meteorological data and air quality data for 2014–2016 obtained by 4 weather stations and 10 environmental monitoring stations, respectively, and assessed the influence of significant meteorological parameters on the hourly PM2.5 concentration and the daily maximum 8-hour-averaged (MDA8) O3 concentration. Calculating each factor’s critical values for these concentrations, we found that the hourly PM2.5 concentration tended to increase when the relative humidity was > 50%, the hourly rainfall intensity was ≤ 0.6 mm hour–1, or the wind speed was ≤ 1.8 m s–1 but otherwise decreased, whereas the MDA8 O3 concentration tended to increase when the sunshine duration was > 4 hours, the maximum temperature was > 29°C, or the average daily wind speed was ≤ 1.8 m s–1 but otherwise decreased. The wind direction was also a crucial factor, as Guangzhou typically experienced severe air pollution when westerlies prevailed. Applying the critical values of these various meteorological parameters as indicators of air quality, we discovered that the least favorable weather conditions during the study period occurred in 2014. These results further our understanding of the relationship between weather conditions and pollutant concentrations. Following the novel approach proposed in this study, meteorological parameters can be utilized to forecast the air quality or compare the effects of weather on pollution between different years.


Keywords: Meteorological parameters; Critical value; PM2.5; Ozone; Guangzhou.



Aerosol Air Qual. Res. 20 :-. https://doi.org/10.4209/aaqr.2020.03.0084  


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