School of Geographical Sciences, Hebei Normal University, Shijiazhuang, China; Hebei Technology Innovation Center for Remote Sensing Identification of Environmental Change, Shijiazhuang, China; State Key Joint Laboratory of Environmental Simulation and Pollution Control, Beijing, China.
School of Geographical Sciences, Hebei Normal University, Shijiazhuang, China.
Sci Total Environ. 2023 Jun 15;877:162897. doi: 10.1016/j.scitotenv.2023.162897. Epub 2023 Mar 17.
Enhanced observations of BC in hotspot regions with a high temporal resolution are critical to refining our BC mitigation strategies, which are co-directed by air-quality and climate goals. In this work, the temporal variation and emission sources of BC in Shijiazhuang, Northern China, during the winter of 2018-2020 were investigated on the basis of multi-wavelength Aethalometer BC observations. The average BC concentrations decreased from 9.13 ± 6.63 μg/m in the winter of 2018 to 3.51 ± 2.48 μg/m in the winter of 2020. The BC source attributions derived from the Aethalometer model showed that the BC concentrations in Shijiazhuang in the winter of 2018 were mainly contributed by biomass burning (53 %). In contrast, during the winter of 2019 and 2020, fossil fuel combustion (BC) exhibited higher contributions, and higher BC concentrations attributed to greater BC contributions. Potential source contribution function (PSCF) analysis suggested that local emissions in Shijiazhuang and transport from highly industrialized regions like central Shanxi and southern Hebei contributed significantly to BC in Shijiazhuang. Concentration weighted trajectory (CWT) analysis revealed that the BC contributions from source regions decreased successively from the winter of 2018 to the winter of 2020. Our results also implied an air quality/climate co-benefit effect of enforcing multi-scale air-quality improvement regulations. Yet, it is still worth noting that some of the measures in favor of reducing BC emissions contradict the measures for reducing CO. The synergies of BC to air quality and climate should be considered and addressed by policymakers with the aim of realizing a sustainable environment.
在中国北方城市石家庄,2018-2020 年冬季利用多波长黑碳(BC)吸收光度计观测,研究了细颗粒物(BC)的时间变化和排放源。结果表明,2018 年冬季平均 BC 浓度为 9.13 ± 6.63μg/m,2020 年冬季平均浓度为 3.51 ± 2.48μg/m。Aethalometer 模型源解析结果表明,2018 年冬季石家庄 BC 浓度主要来源于生物质燃烧(53%)。而在 2019 年和 2020 年冬季,化石燃料燃烧(BC)的贡献更高,BC 浓度也更高,表明 BC 浓度增加主要归因于化石燃料燃烧源的贡献增加。潜在源贡献函数(PSCF)分析表明,石家庄本地排放以及来自山西中部和河北南部等高度工业化地区的传输对石家庄 BC 有重要贡献。浓度权重轨迹(CWT)分析表明,源区对 BC 的贡献从 2018 年冬季到 2020 年冬季逐渐降低。研究结果表明,实施多尺度空气质量改善措施在减少 BC 排放的同时,也带来了空气质量/气候协同效益。然而,值得注意的是,一些有利于减少 BC 排放的措施与减少 CO 的措施相矛盾。决策者应考虑和解决 BC 对空气质量和气候的协同影响,以实现可持续的环境。