Abstract

Abstract. In this paper, we present long-term observations of atmospheric nitrogen dioxide (NO2) and formaldehyde (HCHO) in Nanjing using a Multi-AXis Differential Optical Absorption Spectroscopy (MAX-DOAS) instrument. Ground-based MAX-DOAS measurements were performed from April 2013 to February 2017. The MAX-DOAS measurements of NO2 and HCHO vertical column densities (VCDs) are used to validate ozone monitoring instrument (OMI) satellite observations over Nanjing. The comparison shows that the OMI observations of NO2 correlate well with the MAX-DOAS data with Pearson correlation coefficient (R) of 0.91. However, OMI observations are on average a factor of 3 lower than the MAX-DOAS measurements. Replacing the a priori NO2 profiles by the MAX-DOAS profiles in the OMI NO2 VCD retrieval would increase the OMI NO2 VCDs by ∼30 % with correlation nearly unchanged. The comparison result of MAX-DOAS and OMI observations of HCHO VCD shows a good agreement with R of 0.75 and the slope of the regression line is 0.99. An age-weighted backward-propagation approach is applied to the MAX-DOAS measurements of NO2 and HCHO to reconstruct the spatial distribution of NO2 and HCHO over the Yangtze River Delta during summer and winter time. The reconstructed NO2 fields show a distinct agreement with OMI satellite observations. However, due to the short atmospheric lifetime of HCHO, the backward-propagated HCHO data do not show a strong spatial correlation with the OMI HCHO observations. The result shows that the MAX-DOAS measurements are sensitive to the air pollution transportation in the Yangtze River Delta, indicating the air quality in Nanjing is significantly influenced by regional transportation of air pollutants. The MAX-DOAS data are also used to evaluate the effectiveness of air pollution control measures implemented during the Youth Olympic Games 2014. The MAX-DOAS data show a significant reduction of ambient aerosol, NO2 and HCHO (30 %–50 %) during the Youth Olympic Games. Our results provide a better understanding of the transportation and sources of pollutants over the Yangtze River Delta as well as the effect of emission control measures during large international events, which are important for the future design of air pollution control policies.

Highlights

  • Nitrogen dioxide (NO2) and formaldehyde (HCHO) are major atmospheric pollutants playing crucial roles in atmospheric chemistry

  • Our result shows that the measured O4 differential slant column densities (DSCDs) occasionally exceeded the forward simulation results which implies that correction of O4 DSCDs is necessary

  • The NO2 vertical column density (VCD) of the a priori is set to 2 × 1016 molec cm−2, while the a priori HCHO vertical column densities (VCDs) is set to 1 × 1016 molec cm−2

Read more

Summary

Introduction

Nitrogen dioxide (NO2) and formaldehyde (HCHO) are major atmospheric pollutants playing crucial roles in atmospheric chemistry. Major HCHO sources over the continents include the oxidation of VOCs emitted from plants, biomass burning, traffic and industrial emissions. It is important to understand the spatial and temporal variations in atmospheric NO2 and HCHO for better air pollution management and control. Multi-AXis Differential Optical Absorption Spectroscopy (MAX-DOAS) is a powerful remote sensing measurement technique which provides valuable vertical distribution information on atmospheric aerosols and trace gases (Platt and Stutz, 2008). Details of the MAX-DOAS experimental setup, the spectral analysis as well as the retrieval of the aerosol extinction, NO2 and HCHO profiles are presented in Sect. The comparison of NO2 and HCHO VCDs measured by the MAX-DOAS and OMI satellite is presented in Sect.

Experimental setup
Spectral retrieval
Aerosol and trace gas profile retrieval
Sun photometer measurements
Meteorological data
Backward trajectory modeling
Comparison of MAX-DOAS and sun photometer AODs
Comparison of MAX-DOAS and OMI observations
Regional pollution transport
Assessments of emission reduction during the Youth Olympic Games
Summary and conclusions
Full Text
Paper version not known

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