TY - JOUR
T1 - Quantifying the Nitrogen Sources and Secondary Formation of Ambient HONO with a Stable Isotopic Method
AU - Zong, Zheng
AU - Wang, Tao
AU - Chai, Jiajue
AU - Tan, Yue
AU - Liu, Pengfei
AU - Tian, Chongguo
AU - Li, Jun
AU - Fang, Yunting
AU - Zhang, Gan
N1 - Publisher Copyright:
© 2023 American Chemical Society.
PY - 2023
Y1 - 2023
N2 - Nitrous acid (HONO) is a reactive gas that plays an important role in atmospheric chemistry. However, accurately quantifying its direct emissions and secondary formation in the atmosphere as well as attributing it to specific nitrogen sources remains a significant challenge. In this study, we developed a novel method using stable nitrogen and oxygen isotopes (δ15N; δ18O) for apportioning ambient HONO in an urban area in North China. The results show that secondary formation was the dominant HONO formation processes during both day and night, with the NO2 heterogeneous reaction contributing 59.0 ± 14.6% in daytime and 64.4 ± 10.8% at nighttime. A Bayesian simulation demonstrated that the average contributions of coal combustion, biomass burning, vehicle exhaust, and soil emissions to HONO were 22.2 ± 13.1, 26.0 ± 5.7, 28.6 ± 6.7, and 23.2 ± 8.1%, respectively. We propose that the isotopic method presents a promising approach for identifying nitrogen sources and the secondary formation of HONO, which could contribute to mitigating HONO and its adverse effects on air quality.
AB - Nitrous acid (HONO) is a reactive gas that plays an important role in atmospheric chemistry. However, accurately quantifying its direct emissions and secondary formation in the atmosphere as well as attributing it to specific nitrogen sources remains a significant challenge. In this study, we developed a novel method using stable nitrogen and oxygen isotopes (δ15N; δ18O) for apportioning ambient HONO in an urban area in North China. The results show that secondary formation was the dominant HONO formation processes during both day and night, with the NO2 heterogeneous reaction contributing 59.0 ± 14.6% in daytime and 64.4 ± 10.8% at nighttime. A Bayesian simulation demonstrated that the average contributions of coal combustion, biomass burning, vehicle exhaust, and soil emissions to HONO were 22.2 ± 13.1, 26.0 ± 5.7, 28.6 ± 6.7, and 23.2 ± 8.1%, respectively. We propose that the isotopic method presents a promising approach for identifying nitrogen sources and the secondary formation of HONO, which could contribute to mitigating HONO and its adverse effects on air quality.
KW - Bayesian model
KW - HONO formation
KW - HONO nitrogen sources
KW - nitrogen isotope
KW - oxygen isotope
UR - http://www.scopus.com/inward/record.url?scp=85175586567&partnerID=8YFLogxK
U2 - 10.1021/acs.est.3c04886
DO - 10.1021/acs.est.3c04886
M3 - Journal article
C2 - 37862702
AN - SCOPUS:85175586567
SN - 0013-936X
JO - Environmental Science and Technology
JF - Environmental Science and Technology
ER -