Chen Wenqian, Cao Xiaoyi, Ran Haofan, Chen Ting, Yang Bohan, Zheng Xuan
College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen, 518060 China.
School of Information and Control Engineering, Qingdao University of Technology, Qingdao, 266520 China.
J Environ Health Sci Eng. 2022 Mar 10;20(1):469-483. doi: 10.1007/s40201-022-00793-3. eCollection 2022 Jun.
In the urban region of Shenzhen, the changes in the concentration of Black carbon (BC) have been evaluated throughout the dry season, and apportioned the BC sources, including in the form of fossil fuel (e.g., vehicle emissions) and biomass fuel (e.g., industrial emissions).
The new seven-channel aethalometer model (AE-33), PM, and meteorological data were collected in the dry season (October-May) from 2019 to 2020, to quantify BC emissions in urban Shenzhen. Explored the source allocation of BC based on Potential source contribution function (PSCF) and concentration-weighted trajectory (CWT) model.
We revealed that the mean BC concentration was 2672 ± 1506 ng/m in the dry season, with values of 4062 ± 1182 ng/m, 2519 ± 1568 ng/m, and 1900 ± 776 ng/m in autumn, winter, and spring, respectively. Additionally, we found that fossil fuels have higher contributions to BC concentrations (86.3% to 86.8% in autumn and spring) in the dry season than biomass fuels (16% to 20% in autumn, spring and winter), which is different from Beijing, Nanjing and other large economic zones in China. The diurnal variation in BC and the contribution of fossil fuels indicate that there is a significantly greater increase in BC during peak traffic hours in urban Shenzhen than in other cities. Finally, meteorological parameters and PM data provided supporting evidence that BC is sourced mainly from local vehicle emissions and industry-related combustion in the western and northeastern/southeastern parts of the study area.
This study showed that the concentration of BC is lower than other regions, and the source allocation is mainly local fossil fuels (vehicle emission, etc.).
The online version contains supplementary material available at 10.1007/s40201-022-00793-3.
在深圳市区,对整个旱季期间黑碳(BC)浓度的变化进行了评估,并对BC来源进行了分配,包括化石燃料(如车辆排放)和生物质燃料(如工业排放)形式的来源。
在2019年至2020年的旱季(10月至次年5月)收集了新型七通道黑碳仪模型(AE - 33)、颗粒物(PM)和气象数据,以量化深圳市区的BC排放。基于潜在源贡献函数(PSCF)和浓度加权轨迹(CWT)模型探索了BC的源分配情况。
我们发现旱季BC平均浓度为2672±1506 ng/m,秋季、冬季和春季的值分别为4062±1182 ng/m、2519±1568 ng/m和1900±776 ng/m。此外,我们发现旱季化石燃料对BC浓度的贡献(秋季和春季为86.3%至86.8%)高于生物质燃料(秋季、春季和冬季为16%至20%),这与中国北京、南京等其他大型经济区不同。BC的日变化以及化石燃料的贡献表明,深圳市区交通高峰时段BC的增加幅度明显大于其他城市。最后,气象参数和PM数据提供了支持证据,表明BC主要来自研究区域西部以及东北部/东南部的本地车辆排放和与工业相关的燃烧。
本研究表明,BC浓度低于其他地区,且源分配主要是本地化石燃料(车辆排放等)。
在线版本包含可在10.1007/s40201 - 022 - 00793 - 3获取的补充材料。