Qiao Xue, Liu Lu, Yang Chun, Yuan Yanping, Zhang Mengyuan, Guo Hao, Tang Ya, Ying Qi, Zhu Shengqiang, Zhang Hongliang
Institute of New Energy and Low-carbon Technology, Sichuan University, No. 24, South Section One, First Ring Road, Chengdu, 610065, China; State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu, 610065, China; Department of Civil and Environmental Engineering, Louisiana State University, Baton Rouge, LA, 70803, USA.
College of Architecture and Environment, Sichuan University, Chengdu, 610065, China.
Environ Pollut. 2021 May 15;277:116793. doi: 10.1016/j.envpol.2021.116793. Epub 2021 Feb 19.
The Sichuan Basin (SCB) in southwestern China is largely affected by air pollution. Understanding the responses of air pollutant concentrations to emission changes is critical for designing and evaluating effective control strategies. Thus, this study used the Community Multi-scale Air Quality (CMAQ) model to simulate PM (i.e., particulate matter with an aerodynamic diameter ≤ 2.5 μm) in winter (January 2015) and ozone (O) in summer (July 2015) under nine emission reduction scenarios. For each scenario, the anthropogenic emissions of each air pollutant in each SCB grid cell were reduced by the same percentage, ranging from 10% to 90%. We found that approximately 30-70% emission reductions are required to reduce the January mean PM concentrations in all the SCB urban centers to a value that is less than the Chinese standard for daily mean PM (24-h PM: 75 μg m). However, the January mean PM concentrations under 90% emission reduction still exceeded the World Health Organization (WHO) guideline (25 μg m) in 16 SCB urban centers. Moreover, reducing both SCB and non-SCB emissions were critical for achieving the PM level recommended by WHO. An 80% emission reduction was required to prevent the occurrence of 8-h O (i.e., daily maximum 8-h mean O) non-attainment days in all SCB urban centers. Under 90% emission reduction, July mean 8-h O concentrations still exceeded the WHO guideline of 47 ppb in approximately 35% of the SCB areas. In conclusion, this study suggests that (1) compared with the governmental emission reduction targets for 2015-2020 (2-27%), more significant emission reductions are required to meet the Chinese and WHO pollution standards; and (2) both SCB and non-SCB emissions must significantly reduce to achieve the desired pollution targets.
中国西南部的四川盆地受到空气污染的严重影响。了解空气污染物浓度对排放变化的响应对于设计和评估有效的控制策略至关重要。因此,本研究使用社区多尺度空气质量(CMAQ)模型,在九种减排情景下模拟了冬季(2015年1月)的PM(即空气动力学直径≤2.5μm的颗粒物)和夏季(2015年7月)的臭氧(O)。对于每种情景,四川盆地每个网格单元中每种空气污染物的人为排放量均按相同百分比减少,范围从10%到90%。我们发现,要将四川盆地所有城市中心1月份的PM平均浓度降低至低于中国每日平均PM标准(24小时PM为75μg/m)的值,大约需要减排30%-70%。然而,在16个四川盆地城市中心,减排90%时1月份的PM平均浓度仍超过世界卫生组织(WHO)的指导值(25μg/m)。此外,减少四川盆地和非四川盆地的排放对于实现WHO建议的PM水平至关重要。要防止四川盆地所有城市中心出现8小时O(即每日最大8小时平均O)超标天数,需要减排80%。在减排90%的情况下,7月份8小时O的平均浓度在大约35%的四川盆地地区仍超过WHO的47ppb指导值。总之,本研究表明:(1)与2015-2020年的政府减排目标(2%-27%)相比,需要更大幅度的减排才能达到中国和WHO的污染标准;(2)必须大幅减少四川盆地和非四川盆地的排放,才能实现预期的污染目标。