标题:Fossil fuel-related emissions were the major source of NH3 pollution in urban cities of northern China in the autumn of 2017
作者:Zhang, Zhongyi ;Zeng, Yang ;Zheng, Nengjian ;Luo, Li ;Xiao, Hongwei ;Xiao, Huayun
作者机构:[Zhang, Zhongyi ;Zheng, Nengjian ;Luo, Li ;Xiao, Hongwei ;Xiao, Huayun ] Jiangxi Province Key Laboratory of the Causes and Control of Atmospheric Poll 更多
通讯作者:Xiao, Huayun
来源:Environmental Pollution
出版年:2020
卷:256
DOI:10.1016/j.envpol.2019.113428
摘要:As the most important gas-phase alkaline species, atmospheric ammonia (NH3) contributes considerably to the formation and development of fine-mode particles (PM2.5), which affect air quality and environmental health. Recent satellite-based observations suggest that the North China Plain is the largest agricultural NH3 emission source in China. However, our isotopic approach shows that the surface NH3 in the intraregional urban environment of Beijing-Tianjin-Shijiazhuang is contributed primarily by combustion-related processes (i.e., coal combustion, NH3 slip, and vehicle exhaust). Specifically, the Batch fractionation model was used to describe the partitioning of gaseous NH3 into particles and to trace the near-ground atmospheric NH3 sources. With the development of haze pollution, the dynamics of δ15N-NH4+ were generally consistent with the fractionation model. The simulated initial δ15N-NH3 values ranged from −22.6‰ to −2.1‰, suggesting the dominance of combustion-related sources for urban NH3. These emission sources contributed significantly (92% on hazy days and 67% on clean days) to the total ambient NH3 in urban cities, as indicated by a Bayesian mixing model. Based on the Batch fractionation model, we concluded the following: 1) δ15N-NH4+ can be used to model the evolution of fine-mode aerosols and 2) combustion-related sources dominate the near-ground atmospheric NH3 in urban cities. These findings highlight the need for regulatory controls on gaseous NH3 emissions transported from local and surrounding industrial sources.
© 2019 Elsevier Ltd
收录类别:EI
资源类型:期刊论文
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