Dominant physical and chemical processes impacting nitrate in Shandong of the North China Plain during winter haze events

Juan Yang,Yu Qu, Yong Chen,Jingwei Zhang, Xingang Liu,Hongya Niu,Junling An

SCIENCE OF THE TOTAL ENVIRONMENT(2024)

引用 0|浏览2
暂无评分
摘要
Nitrate has been a dominant component of PM2.5 since the stringent emission control measures implemented in China in 2013. Clarifying key physical and chemical processes influencing nitrate concentrations is crucial for eradicating heavy air pollution in China. In this study, we explored dominant processes impacting nitrate concentrations in Shandong of the North China Plain during three haze events from 9 to 25 December 2021, named cases P1 (94.46 (30.85) mu g m_ 3 for PM2.5 (nitrate)), P2 (148.95 (50.12) mu g m_ 3) and P3 (88.03 (29.21) mu g m_ 3), by using the Weather Research and Forecasting/Chemistry model with an integrated process rate analysis scheme and updated heterogeneous hydrolysis of dinitrogen pentoxide on the wet aerosol surface (HET_N2O5) and additional nitrous acid (HONO) sources (AS_HONO). The results showed that nitrate increases in the three cases were attributed to aerosol chemistry, whereas nitrate decreases were due mainly to the vertical mixing process in cases P1 and P2 and to the advection process in case P3. HET_N2O5 (the reaction of OH + NO2) contributed 45 % (51 %) of the HNO3 production rate during the study period. AS_HONO produced a nitrateenhancement of 24 % in case P1, 12 % in case P2 and 19 % in case P3, and a HNO3 production rate enhancement of 0.79- 0.97 (0.18- 0.60) mu g m_ 3 h_ 1 through the reaction of OH + NO2 (HET_N2O5) in the three cases. This study implies that using suitable parameterization schemes for heterogeneous reactions on aerosol and ground surfaces and nitrate photolysis is vital in simulations of HONO and nitrate, and the MOSAIC module for aerosol water simulations needs to be improved.
更多
查看译文
关键词
Nitrate,Nitrous acid (HONO),WRF-Chem,Process analysis
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要