Abstract

The temporal and spatial distributions of tropospheric ozone and its precursors (NO2, CO, HCHO) are analyzed over Guangxi (GX) in South China. We used tropospheric column ozone (TCO) from the Ozone Monitoring Instrument (OMI) and Microwave Limb Sounder (MLS) onboard the Aura satellite (OMI/MLS), NO2 and HCHO from OMI and CO from the Measurements of Pollution in the Troposphere (MOPITT) instrument in the period 2005–2016. The TCO shows strong seasonality, with the highest value in spring and the lowest value observed in the monsoon season. The seasonal variation of HCHO is similar to that of TCO, while NO2 and CO show slightly different patterns with higher values in spring and winter compared to lower values in autumn and summer. The surface ozone, NO2 and CO observed by national air quality monitoring network sites are also compared with satellite-observed TCO, NO2 and CO, showing good agreement for NO2 and CO but a different seasonal pattern for ozone. Unlike TCO, surface ozone has the highest value in autumn and the lowest value in winter. To reveal the difference, the vertical profiles of ozone and CO from the measurement of ozone and water vapor by airbus in-service aircraft (MOZAIC) observations over South China are also examined. The seasonal averaged vertical profiles of ozone and CO show obvious enhancements at 2–6 km altitudes in spring. Furthermore, we investigate the dependence of TCO and surface ozone on meteorology and transport in detail along with the ECMWF reanalysis data, Tropical Rainfall Measuring Mission (TRMM) 3BV42 dataset, OMI ultraviolet index (UV index) dataset, MODIS Fire Radiative Power (FRP) and back trajectory. Our results show that the wind pattern at 800 hPa plays a significant role in determining the seasonality of TCO over GX, especially for the highest value in spring. Trajectory analysis, combined with MODIS FRP suggests that the air masses that passed through the biomass burning (BB) region of Southeast Asia (SEA) induced the enhancement of TCO and CO in the upper-middle troposphere in spring. However, the seasonal cycle of surface ozone is associated with wind patterns at 950 hPa, and the contribution of the photochemical effect is offset by the strong summer monsoon, which results in the maximum surface ozone concentration in post-monsoon September. The variations in the meteorological conditions at different levels and the influence of transport from SEA can account for the vertical distribution of ozone and CO. We conclude that the seasonal distribution of TCO results from the combined impact of meteorology and long-term transport.

Highlights

  • In recent years, with air pollution control, PM2.5 values have experienced a significant decline inChina; ozone has replaced PM2.5 as the primary pollutant in South China during summertime, e.g., Guangdong province

  • Based on this we find that there was a slight increase during the period 2005–2016 for the Tropospheric column ozone (TCO) (Figure S2a) over GX

  • The maximum TOC over GX was observed from April to May (~40 ± 3.3 Dobson units (DU) in spring), the seasonal average value was lower in summer than in spring (~34.3 ± 3.4 DU), decreased in autumn continuously (~32 ± 2.4 DU), and gradually declined to the minimum in winter (~30 ± 2.2 DU)

Read more

Summary

Introduction

With air pollution control, PM2.5 values have experienced a significant decline in. CO is an ozone precursor, and determines the regional background values of seasonal variation shows a maximum in summertime in mid-latitude regions [32] It is revealed the ozone level [1]; the relation of O3 -CO been examined [34]. Inincontrast, CO(April reaches maximum and in shows a broad (October and November) based on Measurements of Pollution in the Troposphere (MOPITT) CO minimum during the summer monsoon season, with a decreasing trend in India [36]. ThereHowever, are 50 national air quality monitoring in GX,tobut designated GX as part of South China, which may hide the seasonal characters for tropospheric are concentrated in urban areas and provide measurements of surface ozone, NO2 , CO, PM2.5 and ozone and its precursor.

Research Region
Locations of theofstudy areas:areas:
OMI NO2 and HCHO
MOPITT Total Column CO
Ancillary Data
Spatial and Temporal Variations of TCO and Its Precursors
30 Spring
VCDs observed
Comparison of Ground andin
Influence
Influence of Wind Field
13. Monthly at 800
Conclusions
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call