激光与光电子学进展, 2017, 54 (5): 050102, 网络出版: 2017-05-03
基于黑碳仪模型的含碳气溶胶来源解析 下载: 501次
Source Apportionment of Carbonaceous Aerosol Based on Aethalometer Model
大气光学 黑碳仪模型 含碳气溶胶 化石燃料 生物质燃烧 atmospheric optics aethalometer model carbonaceous aerosol fossil fuel biomass burning
摘要
基于不同来源含碳气溶胶具有不同光学吸收特性的原理, 采用黑碳仪模型对杭州市含碳气溶胶进行来源解析。结合气溶胶飞行时间质谱仪和黑碳仪数据, 对黑碳仪模型参数进行校正。通过分析2015年杭州市朝晖环境监测站点的黑碳仪数据, 解析化石燃料和生物质燃料的燃烧对朝晖地区含碳气溶胶的贡献率及其变化规律。结果表明, 2015年化石燃料燃烧对朝晖地区含碳气溶胶的年均贡献值为15.4 μg/m3, 年均贡献率为71.8%; 生物质燃料对含碳气溶胶的月均贡献率为20%~38%, 7月份贡献率最小, 12月份贡献率最大, 各月份的贡献率存在明显阶梯性变化。含碳气溶胶吸收指数没有体现出本地早晚高峰现象, 该现象可能是由于外地传输引起的。上述研究为识别杭州市能源消费结构和大气治理提供一定的理论与实验支持。
Abstract
The source apportionment of carbonaceous aerosol in Hangzhou is carried out with aethalometer model, and the study is based on different light absorption properties of aerosols from different origins. Combined with aerosol time-of-flight mass spectrometer and data measured by aethalometer, the parameters of aethalometer model are corrected. The aethalometer data from Zhaohui environmental monitoring site of Hangzhou in 2015 is analyzed, and the contribution rates of biomass and fossil fuel burning to carbonaceous aerosol in Zhaohui are analyzed. The results show that the annual concentration of carbonaceous aerosol originating from fossil fuel in 2015 is 15.4 μg/m3, and the annual concentration rate is 71.8%. The monthly contribution rate of biomass burning to carbonaceous aerosol is 20%-38%. The minimum concentration rate appears in July while the maximum concentration rate appears in December, and the monthly data shows a gradient transformation. Traffic rush hours exhibit no effect on the mean diurnal pattern of absorption exponent, which means the carbonaceous aerosol may be introduced by long-range transport. The above results build the foundation for identification of Hangzhou energy consumption structure and alleviating air pollution.
颜明明, 吴建, 沈建东, 周剑武, 陈玲红. 基于黑碳仪模型的含碳气溶胶来源解析[J]. 激光与光电子学进展, 2017, 54(5): 050102. Yan Mingming, Wu Jian, Shen Jiandong, Zhou Jianwu, Chen Linghong. Source Apportionment of Carbonaceous Aerosol Based on Aethalometer Model[J]. Laser & Optoelectronics Progress, 2017, 54(5): 050102.