Jiawei Xu, Ben Silver, Rong Tang, Nan Wang, Xin Huang, Aijun Ding, Steve R. Arnold
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A model assessment of the relationship between urban greening and ozone air quality in China: a study of three metropolitan regions
The impact of biogenic emissions on ozone (O3) has significant implications for air quality management. We analyze biogenic volatile organic compound (BVOC) emissions resulting from urban greening in three major Chinese cities, and impacts on tropospheric ozone. Urban greening BVOCs contributed 1.9 ppb (2.5%), 1.9 ppb (3.3%), and 3.6 ppb (5.9%) to O3 formation in Beijing, Shanghai, and Guangzhou, respectively. Temperature-driven enhancement in urban BVOCs produces significantly enhanced O3 on hot days. Guangzhou shows the highest summer temperatures, and the impact of the BVOC isoprene on O3 is more significant. The urban BVOC contribution to O3 is concentrated downwind of each city, due to transport processes. Estimated O3-related mortality in the cities was 900–2000 people during summertime, with 6–14% of the O3-related deaths attributable to urban BVOC emissions. The potential contribution of urban isoprene-emitting vegetation to air quality should be considered alongside the potential benefits of urban greening in future policy-making decisions.
期刊介绍：
npj Climate and Atmospheric Science is an open-access journal encompassing the relevant physical, chemical, and biological aspects of atmospheric and climate science. The journal places particular emphasis on regional studies that unveil new insights into specific localities, including examinations of local atmospheric composition, such as aerosols.
The range of topics covered by the journal includes climate dynamics, climate variability, weather and climate prediction, climate change, ocean dynamics, weather extremes, air pollution, atmospheric chemistry (including aerosols), the hydrological cycle, and atmosphere–ocean and atmosphere–land interactions. The journal welcomes studies employing a diverse array of methods, including numerical and statistical modeling, the development and application of in situ observational techniques, remote sensing, and the development or evaluation of new reanalyses.
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