电动汽车和清洁燃料汽车对德里未来 PM2.5 和臭氧污染的影响

Caterina Mogno, T. Wallington, Paul I. Palmer, H. Hakkim, B. Sinha, Vinayak Sinha, Allison Steiner, Sumit Sharma
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摘要

我们研究了在季风前和季风后两个不同季节,采用电动汽车和清洁燃料对德里未来地表 PM2.5 和臭氧水平的影响。我们在高分辨率(4 千米)WRF-Chem 大气传输模型中运行了 2030 年的两种交通排放情景:1)两轮车、三轮车和轻型商用车电动化情景;2)柴油车改用压缩天然气(CNG)情景。与 2019 年的基准值相比,电气化和柴油车改用压缩天然气的方案比单独的两轮车、三轮车和轻型商用车电气化方案(1%以内)的 PM2.5 浓度降低幅度更大(高达 5%),这主要是因为柴油车改用压缩天然气后,PM2.5 和黑碳的一次排放减少更多。车辆电气化可能导致每日 8 小时最高臭氧浓度的增加,而增加的臭氧浓度在季风前和季风后季节分别增加 -1.9% 和 +2.4%,部分抵消了增加的臭氧浓度。这反映出与单独电气化方案相比,压缩天然气车辆方案的氮氧化物排放量更高,从而限制了德里上空受挥发性有机化合物限制的化学环境中地表臭氧的增加。我们的研究结果凸显了在考虑交通排放控制时,针对 PM2.5 和臭氧采取协调战略的重要性,并强调在向电动汽车过渡的同时,应将柴油车转换为压缩天然气,以限制地表臭氧的增加,并在更大程度上降低德里上空的 PM2.5 浓度。然而,与基线方案相比,PM2.5 和臭氧的变化较小,这突出表明了其他部门联合减排对德里 PM2.5 和臭氧空气质量取得实质性进展的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impact of electric and clean-fuel vehicles on future PM2.5 and ozone pollution over Delhi
We investigate the impact of adoption of electric vehicles and cleaner fuels on future surface levels of PM2.5 and ozone over Delhi for two contrasting seasons, pre-monsoon and post-monsoon. We run the WRF-Chem atmospheric transport model at high resolution (4 km) with two transport emission scenarios for year 2030: 1) a scenario with electrification of two- and three-wheelers and light commercial vehicles, and 2) a scenario which also includes conversion of diesel vehicles to compressed natural gas (CNG). Compared to the baseline values in 2019, the scenario with both electrification and conversion of diesel vehicles to CNG has a greater reduction in PM2.5 concentrations (up to 5%) than the electrification of two- and three-wheelers and light commercial vehicles alone (within 1%), mainly due to the the greater reduction in primary emissions of PM2.5 and black carbon from diesel conversion to CNG. Vehicles electrification could result in an increase in the daily maximum 8-hours ozone concentrations, which are partially offset by additionally converting to CNG - by -1.9% and +2.4% during pre-monsoon and post-monsoon seasons. This reflects higher NOx emissions from the CNG vehicle scenario compared to electrification-alone scenario, which limits the increase of surface ozone in the VOC-limited chemical environment over Delhi. Our findings highlight the importance of a coordinated strategy for PM2.5 and ozone when considering traffic emission controls, and highlight that the transition to electric vehicles should be accompanied by the conversion of diesel vehicles to CNG to limit surface ozone increase and achieve greater reduction in PM2.5 concentrations over Delhi. However, the small changes in PM2.5 and in ozone compared to the baseline scenario highlight the importance of joint emissions reduction from other sectors to achieve substantial progress in PM2.5 and ozone air quality in Delhi.
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