Abstract

ABSTRACT This study analyzed the increase in the surface ozone over Beijing-Tianjin-Hebei (BTH) and its surrounding areas during the period of 2005–2018 using satellite-retrieved data. First, a geographically weighted regression (GWR) model was developed to estimate the surface ozone concentration (SOC) between 2005 and 2018 based on Ozone Monitoring Instrument (OMI) ozone profiles. The resultant values and their growth rate were then analyzed. The SOC exhibited significant variation in the spatial distribution over the study area, with the maximum and the minimum values occurring in the southeast and the northeast, respectively. The latter region also displayed the highest SOC growth rate, however, whereas the southwest displayed the lowest one. Additionally, prominent seasonality was observed in the SOC: The concentration peaked during the warm season and troughed during the cold season, but the growth rate showed the opposite trend. The values during the cold season greatly affected the annual spatial distribution and the growth rate of the SOC, whereas those during the warm season significantly contributed to the annual concentration. From 2005 till 2018, the SOC showed an upward trend with an average growth rate of 3.4 µg m–3 y–1, with a greater increase in the second half (2012–2018) than the first half (2005–2011) of the study period because of the stronger photochemical reactions caused by the continual increase in HCHO during summer and the weaker NO titration effect caused by the rapid decrease in NO2 during winter. With constantly rising levels of HCHO and a VOCs-limited regime in the study area, we must formulate an effective reduction scheme for VOCs and NO2 co-emissions in order to mitigate the surface ozone pollution, despite the risk that decreasing the NO2 will lead to a certain increase in the SOC.

Highlights

  • Surface ozone, which is a strong oxidant, with respect to Copyright The Author(s)

  • Chen et al (2014) analyzed the spatio-temporal variations in the total ozone column (TOC) over the Yangtze River Delta from 1978 to 2013 using remote sensing TOC data derived from the Total Ozone Mapping Spectrometer (TOMS) (1978–2005) and Ozone Monitoring Instrument (OMI) (2004–2013) satellite instruments

  • Some satellite ozone instruments provide a distribution of ozone profiles, such as the Solar Backscatter Ultraviolet Radiometer (SBUV) (Noreen et al, 2018), Tropospheric Emission Spectrometer (TES) (Kulawik et al, 2006), Ozone Mapping Profiler Suite (OMPS) (Keppens et al, 2018), Microwave Limb Sounder (MLS) (Ziemke et al, 2011), Global Ozone Monitoring Experiment (GOME)-2 and OMI

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Summary

Introduction

The result of the spatial correlation test between the lowest layer of OMO3PR and ground monitoring data set showed that the correlation coefficient (R) was greater than 0.8 over most study area.

Results
Conclusion
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