Potential for electric vehicle adoption to mitigate extreme air quality events in China

作者: J.L. Schnell , D.R. Peters , D.C. Wong , X. Lu , H. Guo

DOI: 10.1029/2020EF001788

关键词:

摘要: Electric vehicle (EV) adoption promises potential air pollutant and greenhouse gas (GHG) reduction co-benefits. As such, China has aggressively incentivized EV adoption, however much remains unknown with regard to EVs' mitigation potential, including optimal type prioritization, power generation contingencies, effects of Clean Air regulations, the ability EVs reduce acute impacts extreme quality events. Here, we present a suite scenarios chemistry transport model that assess co-benefits during an winter event. We find regardless source, heavy-duty (HDV) electrification consistently improves in terms NO2 fine particulate matter (PM2.5), potentially avoiding 562 deaths due exposure infamous January 2013 pollution episode (~1% total premature mortality). However, HDV does not GHG emissions without enhanced emission-free electricity generation. In contrast, differing emission profiles, light-duty (LDV) reduces (~2 Mt CO2), but results fewer human health improvements (145 avoided deaths). The calculated economic for endpoints CO2 reductions LDV are nearly double those present-day (155M vs. 87M US$), within ~25% when is used them. Overall, only modest benefit ameliorate severe wintertime events, continued sector will have greatest benefits.

参考文章(54)
G. Rebitzer, T. Ekvall, R. Frischknecht, D. Hunkeler, G. Norris, T. Rydberg, W.-P. Schmidt, S. Suh, B.P. Weidema, D.W. Pennington, Life cycle assessment: Part 1: Framework, goal and scope definition, inventory analysis, and applications Environment International. ,vol. 30, pp. 701- 720 ,(2004) , 10.1016/J.ENVINT.2003.11.005
Li TianTian, Xie Peng, Liu XiaoYun, Liu ZhaoRong, Bai YuHua, Exposure-response functions for health effects of ambient participate matter pollution applicable for China. China Environmental Science. ,vol. 29, pp. 1034- 1040 ,(2009)
Yele Sun, Qi Jiang, Zifa Wang, Pingqing Fu, Jie Li, Ting Yang, Yan Yin, Investigation of the sources and evolution processes of severe haze pollution in Beijing in January 2013 Journal of Geophysical Research. ,vol. 119, pp. 4380- 4398 ,(2014) , 10.1002/2014JD021641
Robert A. Rohde, Richard A. Muller, Air Pollution in China: Mapping of Concentrations and Sources PLOS ONE. ,vol. 10, pp. e0135749- ,(2015) , 10.1371/JOURNAL.PONE.0135749
Joel Schwartz, Particulate air pollution and daily mortality in detroit Environmental Research. ,vol. 56, pp. 204- 213 ,(1991) , 10.1016/S0013-9351(05)80009-X
A. Guenther, T. Karl, P. Harley, C. Wiedinmyer, P. I. Palmer, C. Geron, Estimates of global terrestrial isoprene emissions using MEGAN (Model of Emissions of Gases and Aerosols from Nature) Atmospheric Chemistry and Physics. ,vol. 6, pp. 3181- 3210 ,(2006) , 10.5194/ACP-6-3181-2006
Wanchun Zhang, Mortier Augustin, Ying Zhang, Zhengqiang Li, Hua Xu, Dong Liu, Zhenzhu Wang, Yuhuan Zhang, Yan Ma, Fengxia Zhang, Yang Lv, Spatial and Temporal Variability of Aerosol Vertical Distribution Based on Lidar Observations: A Haze Case Study over Jinhua Basin Advances in Meteorology. ,vol. 2015, pp. 1- 8 ,(2015) , 10.1155/2015/349592
Stefan Vandoren, Ulrich Theis, N = 2 supersymmetric scalar-tensor couplings Journal of High Energy Physics. ,vol. 2003, pp. 042- 042 ,(2003) , 10.1088/1126-6708/2003/04/042