Vehicular ammonia emissions: an underappreciated emission source in densely populated areas
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Published:2023-03-31
Issue:6
Volume:23
Page:3819-3828
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ISSN:1680-7324
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Container-title:Atmospheric Chemistry and Physics
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language:en
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Short-container-title:Atmos. Chem. Phys.
Author:
Wen Yifan, Zhang ShaojunORCID, Wu YeORCID, Hao Jiming
Abstract
Abstract. On-road ammonia (NH3) emissions play a significant
role in fine particulate matter (PM2.5) formation in urban areas,
posing severe risks for human health. Limited studies have depicted the
spatial and temporal variations of on-road NH3 emissions, in particular
lacking detailed quantification of their contributions within
densely populated areas. In this study, we established a comprehensive
vehicular NH3 emission model and compiled a gridded on-road NH3
emission inventory with high spatial (3 km × 3 km) and temporal
(monthly) resolution for mainland China. China's annual vehicular NH3
emissions are estimated to increase from 32.8 ± 1.7 to 87.1 ± 37.5 kt during the period of 2000–2019. Vehicular NH3 emissions are
significantly concentrated in densely populated areas, where agricultural
emissions have relatively lower intensity. It is found that vehicular
NH3 emissions could exceed agricultural emissions in the grids
containing 23.0 ± 2.1 % of the Chinese population in 2019
(approximately 326.6 ± 25.4 million people), and this ratio is up to
29.4 ± 3.0 % in winter. For extremely populous megacities such as
Beijing and Shanghai, vehicular NH3 emissions exceed agricultural
emissions, where 69.2 ± 1.2 % and 72.0 ± 1.3 % of the population
resides, respectively. Thus, the significant role of on-road NH3
emissions in populated areas may have been underappreciated. This study gave
a better insight into the absolute value and relative importance of on-road
NH3 emissions for different regions, seasons and population densities in
China; this is important in terms of the implications for air quality.
Funder
National Key Research and Development Program of China National Postdoctoral Program for Innovative Talents
Publisher
Copernicus GmbH
Subject
Atmospheric Science
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