Jiang Fan, Liu Junwen, Cheng Zhineng, Ding Ping, Xu Yuanqian, Zong Zheng, Zhu Sanyuan, Zhou Shengzhen, Yan Caiqing, Zhang Zhisheng, Zheng Junyu, Tian Chongguo, Li Jun, Zhang Gan
Institute of Environmental and Climate Research, Jinan University, Guangzhou, China.
Institute of Environmental and Climate Research, Jinan University, Guangzhou, China.
Environ Pollut. 2022 Feb 1;294:118638. doi: 10.1016/j.envpol.2021.118638. Epub 2021 Dec 7.
Black carbon (BC) aerosol negatively affects air quality and contributes to climate warming globally. However, little is known about the relative contributions of different source control measures to BC reduction owing to the lack of powerful source-diagnostic tools. We combine the fingerprints of dual-carbon isotope using an optimized Bayesian Markov chain Monte Carlo (MCMC) scheme and for the first time to study the key sources of BC in megacity Guangzhou of the Pearl River Delta (PRD) region, China in 2018 autumn season. The MCMC model-derived source apportionment of BC shows that the dominant contributor is petroleum combustion (39%), followed by coal combustion (34%) and biomass burning (27%). It should be noted that the BC source pattern is highly sensitive to the variations of air masses transported with an enhanced contribution of fossil source from the eastern area, suggesting the important impact of regional atmospheric transportation on the BC source profile in the PRD region. Also, we further found that fossil fuel combustion BC contributed 84% to the total BC reduction during 2013-2018. The response of PM concentration to the C-derived BC source apportionment is successfully fitted (r = 0.90) and the results predicted that it would take ∼6 years to reach the WHO PM guideline value (10 μg m) for the PRD region if the emission control measures keep same as they are at present. Taken together, our findings suggest that dual-carbon isotope is a powerful tool in constraining the source apportionment of BC for the evaluations of air pollution control and carbon emission measures.
黑碳（BC）气溶胶对空气质量有负面影响，并在全球范围内加剧气候变暖。然而，由于缺乏强大的源诊断工具，对于不同源控制措施对减少黑碳的相对贡献知之甚少。我们采用优化的贝叶斯马尔可夫链蒙特卡罗（MCMC）方案结合双碳同位素指纹，首次研究了2018年秋季中国珠江三角洲（PRD）地区大城市广州黑碳的关键来源。MCMC模型得出的黑碳源解析结果表明，主要贡献源是石油燃烧（39%），其次是煤炭燃烧（34%）和生物质燃烧（27%）。需要注意的是，黑碳源模式对输送气团的变化高度敏感，东部地区化石源的贡献增加，这表明区域大气输送对珠三角地区黑碳源分布有重要影响。此外，我们还进一步发现，2013 - 2018年期间，化石燃料燃烧产生的黑碳对黑碳总量减少的贡献为84%。成功拟合了PM浓度对基于碳的黑碳源解析的响应（r = 0.90），结果预测，如果排放控制措施保持目前水平，珠三角地区要达到世界卫生组织的PM指导值（10 μg m）大约需要6年时间。综上所述，我们的研究结果表明，双碳同位素是一种强大的工具，可用于约束黑碳的源解析，以评估空气污染控制和碳排放措施。
