Abstract

Abstract. High PM2. 5 concentrations of around 100 µg m−3 were observed twice during an intensive observation campaign in January 2015 at Fukuoka (33.52° N, 130.47° E) in western Japan. These events were analyzed comprehensively with a regional chemical transport model and synergetic ground-based observations with state-of-the-art measurement systems, which can capture the behavior of secondary inorganic aerosols (SO42−, NO3−, and NH4+). The first episode of high PM2. 5 concentration was dominated by NO3− (type N) and the second episode by SO42− (type S). The concentration of NH4+ (the counterion for SO42− and NO3−) was high for both types. A sensitivity simulation in the chemical transport model showed that the dominant contribution was from transboundary air pollution for both types. To investigate the differences between these types further, the chemical transport model results were examined, and a backward trajectory analysis was used to provide additional information. During both types of episodes, high concentrations of NO3− were found above China, and an air mass that originated from northeast China reached Fukuoka. The travel time from the coastline of China to Fukuoka differed between types: it was 18 h for type N and 24 h for type S. The conversion ratio of SO2 to SO42− (Fs) was less than 0.1 for type N, but reached 0.3 for type S as the air mass approached Fukuoka. The higher Fs for type S was related to the higher relative humidity and the concentration of HO2, which produces H2O2, the most effective oxidant for the aqueous-phase production of SO42−. Analyzing the gas ratio as an indicator of the sensitivity of NO3− to changes in SO42− and NH4+ showed that the air mass over China was NH3-rich for type N, but almost NH3-neutral for type S. Thus, although the high concentration of NO3− above China gradually decreased during transport from China to Fukuoka, higher NO3− concentrations were maintained during transport owing to the lower SO42− for type N. In contrast, for type S, the production of SO42− led to the decomposition of NH4NO3, and more SO42− was transported. Notably, the type N transport pattern was limited to western Japan, especially the island of Kyushu. Transboundary air pollution dominated by SO42− (type S) has been recognized as a major pattern of pollution over East Asia. However, our study confirms the importance of transboundary air pollution dominated by NO3−, which will help refine our understanding of transboundary heavy PM2. 5 pollution in winter over East Asia.

Highlights

  • Particulate matter (PM) presents major environmental problems globally, especially in East Asia

  • The sensitivity simulation would suffer from a nonlinear chemical response if complex atmospheric chemistry were involved; we focused on black carbon (BC), which is a primary aerosol

  • Using state-of-the-art observation systems to capture SNA behavior and a chemical transport model, two episodes of high PM2.5 concentrations of around 100 μg m−3 were analyzed that occurred in winter over western Japan

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Summary

Introduction

Particulate matter (PM) presents major environmental problems globally, especially in East Asia. This intensive observation was designed to capture the heavy PM2.5 pollution episode in the wintertime and to support and validate the ACSA and NHx monitoring systems Based on these measurement systems, gas-phase HNO3 and NH3 can be measured by the D–F pack method and the NHx monitor, respectively. The synergetic ground-based observation dataset was systematically interpreted by using the regional chemical transport model, and we examined the impact of the domestic and transboundary air pollution in winter. A systematic comparison of model results with observations, including gas-phase precursors, will promote understanding and improve the model ability for Asia. This will contribute to the Model Intercomparison Study for Asia

Observation sites
NHx monitor
PM-712
Chemical transport model
Meteorological conditions
Temporal variation of particulate matter
Coarse-mode aerosols
Trajectory analysis
Outflow analysis
Conclusion
Full Text
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