The result of Aethalometer model to black carbon (BC) source apportionment is highly determined by the absorption Ångström exponent (α) of aerosols from fossil fuel combustion (α_ff) and wood burning (α_wb). A method using hourly measured potassium to calculate the α_ff and α_wb values was developed in this study. Results showed that the optimal α_ff and α_wb were 1.09 and 1.79 for the whole dataset. The optimal α values in the diurnal resolution were also calculated with α_ff and α_wb varied in 1.02 –1.19 and 1.71–1.90, respectively. Using the dynamic α values, the Pearson correlation coefficient between BC and potassium from wood burning substantially improved compared to the results derived from the fixed α values. The method developed in this study is expected to provide more reasonable BC source identification results, which are helpful for air quality, climate, and human health modeling studies.

Aethalometer模型黑碳（BC）源解析的结果是高度由吸收埃指数（确定α来自化石燃料燃烧的气溶胶）（α _FF）和木材燃烧（α _WB）。本研究开发了一种使用每小时测量的钾来计算α _ff和α _wb值的方法。结果表明，整个数据集的最佳α _ff和α _wb分别为 1.09 和 1.79。也用α _ff和α _wb计算了昼夜分辨率中的最佳α值分别在 1.02-1.19 和 1.71-1.90 之间变化。使用动态α值，与来自固定α值的结果相比，BC 和木材燃烧产生的钾之间的 Pearson 相关系数显着提高。本研究开发的方法有望提供更合理的BC源识别结果，有助于空气质量、气候和人类健康建模研究。