In Northeast Asia, the chemical composition of wintertime PM2.5 has undergone significant changes, with nitrate emerging as a predominant component during high-pollution episodes. Understanding the precise formation mechanisms of nitrate is crucial f...
In Northeast Asia, the chemical composition of wintertime PM2.5 has undergone significant changes, with nitrate emerging as a predominant component during high-pollution episodes. Understanding the precise formation mechanisms of nitrate is crucial for developing effective air quality strategies in South Korea. Atmospheric ammonium nitrate (NH4NO3) is produced through the reaction between ammonia (NH3) and nitric acid (HNO3), where HNO3 is generated via daytime photochemical and nighttime heterogeneous reactions. Particularly at night, the heterogeneous hydrolysis of dinitrogen pentoxide (N2O5) serves as a major pathway, playing a crucial role in wintertime nitrate formation in urban atmospheres. However, the lack of observational data on key nocturnal reactive nitrogen species, such as N2O5, nitryl chloride (ClNO2), and nitrous acid (HONO), has limited a comprehensive understanding of these mechanisms in South Korea. Furthermore, nitrate formation is influenced by thermodynamic conditions such as aerosol liquid water content (ALWC) and aerosol acidity (pH), exhibiting non-equilibrium behaviors in the actual atmosphere.
Therefore, this study aims to elucidate the nocturnal nitrate formation mechanisms in urban atmospheres and evaluate the key physicochemical factors controlling these processes. The main contributions of this study are summarized in three parts.
First, an in situ calibration and quantification method was established for N2O5, ClNO2, and HONO-for which commercial standard gases are unavailable-using an iodide chemical ionization mass spectrometer (I-CIMS). Securing calibration curves with high linearity provided a reliable foundation for measuring trace ambient compounds at ppt-ppb levels.
Second, utilizing the established I-CIMS analytical technique, observational data collected in Ansan, an urban site within the Seoul Metropolitan Area (SMA), South Korea, were analyzed to elucidate nocturnal chemical characteristics and nitrate formation processes. During the winter and early spring (January–March 2024) observations, the average nocturnal concentrations of N2O5 and ClNO2 were 154 ppt and 833 ppt, respectively. Pronounced N2O5 accumulation was observed under stagnant conditions with elevated residual ozone. The NO3 radical production rate was higher in March than in January due to the combined effects of rising ozone and temperature. Case analyses confirmed that nitrate formation is heavily dictated by both the heterogeneous uptake efficiency of N2O5 and the NO3 production rate.
Third, based on an intensive wintertime field campaign (December 2025–January 2026), the impacts of ALWC and pH were evaluated. Under high-ALWC conditions, N2O5 was rapidly consumed on aerosol surfaces, promoting nitrate formation, whereas low-ALWC conditions led to atmospheric N2O5 accumulation. Notably, unlike the thermodynamic equilibrium model (ISORROPIA), field observations revealed that the gas-particle partitioning of nitrate exhibited continuous transitions across the pH–ALWC space. The model generally overestimated ALWC and excessively partitioned nitrate into the particle phase under high-pH conditions, thereby underestimating gas-phase HNO3. This indicates that the model inadequately represents the kinetic limitations and non-equilibrium characteristics of the ambient atmosphere.
In conclusion, this study established a comprehensive field observational dataset for N2O5, ClNO2, and HONO, the key species driving wintertime nitrate formation in South Korean urban environments. By integrating quantification techniques, chemical kinetics, and thermodynamic analyses, the nocturnal nitrate formation mechanisms were comprehensively elucidated. The empirical verification that nitrate formation is a non-equilibrium process strongly regulated by ALWC and pH highlights that current air quality models inadequately capture nocturnal heterogeneous chemistry. Refining these mechanisms—specifically by improving the parameterization of ALWC and pH—will provide a crucial scientific basis for predicting wintertime PM2.5 episodes and establishing effective air quality management policies.