Abstract

Abstract. The major air pollutant emissions have decreased, and the overall air quality has substantially improved across China in recent years as a consequence of active clean air policies for mitigating severe air pollution problems. As key precursors of formaldehyde (HCHO) and ozone (O3), the volatile organic compounds (VOCs) in China are still increasing due to the lack of mitigation measures for VOCs. In this study, we investigated the drivers of HCHO variability from 2015 to 2019 over Hefei, eastern China, by using ground-based high-resolution Fourier transform infrared (FTIR) spectroscopy and GEOS-Chem model simulation. Seasonal and interannual variabilities of HCHO over Hefei were analyzed and hydroxyl (OH) radical production rates from HCHO photolysis were evaluated. The relative contributions of emitted and photochemical sources to the observed HCHO were analyzed by using ground-level carbon monoxide (CO) and Ox (O3 + nitrogen oxide (NO2)) as tracers for emitted and photochemical HCHO, respectively. Contributions of emission sources from various categories and geographical regions to the observed HCHO summertime enhancements were determined by using a series of GEOS-Chem sensitivity simulations. The column-averaged dry air mole fractions of HCHO (XHCHO) reached a maximum monthly mean value of 1.1 ± 0.27 ppbv in July and a minimum monthly mean value of 0.4 ± 0.11 ppbv in January. The XHCHO time series from 2015 to 2019 over Hefei showed a positive change rate of 2.38 ± 0.71 % per year. The photochemical HCHO is the dominant source of atmospheric HCHO over Hefei for most of the year (68.1 %). In the studied years, the HCHO photolysis was an important source of OH radicals over Hefei during all sunlight hours of both summer and winter days. The oxidations of both methane (CH4) and nonmethane VOCs (NMVOCs) dominate the HCHO production over Hefei and constitute the main driver of its summertime enhancements. The NMVOC-related HCHO summertime enhancements were dominated by the emissions within eastern China. The observed increasing change rate of HCHO from 2015 to 2019 over Hefei was attributed to the increase in photochemical HCHO resulting from increasing change rates of both CH4 and NMVOC oxidations, which overwhelmed the decrease in emitted HCHO. This study provides a valuable evaluation of recent VOC emissions and regional photochemical capacity in China. In addition, understanding the sources of HCHO is a necessary step for tackling air pollution in eastern China and mitigating the emissions of pollutants.

Highlights

  • Formaldehyde (HCHO) is one of the most critical tropospheric pollutants, which directly threatens human health, and plays a significant role in atmospheric photochemical reactions (Franco et al, 2015; Jones et al, 2009; Notholt et al, 1992, 2000; Vigouroux et al, 2009)

  • We investigated the drivers of HCHO variability from 2015 to 2019 over Hefei, eastern China, by using ground-based high-resolution Fourier transform infrared (FTIR) spectroscopy and GEOS-Chem model simulation

  • China has implemented a series of active clean air policies in recent years to mitigate severe air pollution problems

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Summary

Introduction

Formaldehyde (HCHO) is one of the most critical tropospheric pollutants, which directly threatens human health, and plays a significant role in atmospheric photochemical reactions (Franco et al, 2015; Jones et al, 2009; Notholt et al, 1992, 2000; Vigouroux et al, 2009). The relative contribution of emitted and photochemical sources to atmospheric HCHO has been analyzed by using the CO–O3 (Friedfeld et al, 2002; Li et al, 2010; Lui et al, 2017; Su et al, 2019), CO–Ox (Hong et al, 2018), CO– CHOCHO (Garcia et al, 2006) and CO / C9H12O / C7H8– O3 (Ma et al, 2016) tracer pairs in various polluted environments.

Site description and instrumentation
Retrieval strategy
Averaging kernels and error budget
Regression model for seasonal and interannual variabilities
Regression model for source separation
GEOS-Chem model description
GEOS-Chem model configurations
FTIR HCHO dataset over Hefei
Comparison with LP-DOAS dataset
Seasonal and interannual variabilities
Separation between emitted and photochemical sources
Model evaluation
Emission category contribution to HCHO enhancement
Geographical region contribution to HCHO enhancement
Potential factors driving interannual variability of HCHO
Findings
Conclusions
Full Text
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