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A method to dynamically constrain black carbon aerosol sources with online monitored potassium

Environmental Studies and Forestry

A method to dynamically constrain black carbon aerosol sources with online monitored potassium

H. Zheng, S. Kong, et al.

This innovative study by Huang Zheng and colleagues reveals a dynamic method to constrain black carbon sources using hourly potassium measurements, fundamentally enhancing the Aethalometer model. By calculating absorption Ångström exponent values that adapt over time, the research significantly improves the correlation between black carbon and potassium emissions from wood burning, setting new standards for air quality and climate modeling.

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Playback language: English
Abstract
This study develops a method using hourly measured potassium to dynamically constrain black carbon (BC) aerosol sources in the Aethalometer model. The method calculates the absorption Ångström exponent (α) values for fossil fuel combustion (α<sub>ff</sub>) and wood burning (α<sub>wb</sub>) dynamically. Results show optimal α<sub>ff</sub> and α<sub>wb</sub> values of 1.09 and 1.79, respectively, for the entire dataset and dynamic diurnal variations within 1.02–1.19 and 1.71–1.90. Using dynamic α values significantly improved the correlation between BC and potassium from wood burning compared to fixed α values. This method is expected to improve BC source identification for air quality, climate, and human health modeling.
Publisher
npj Climate and Atmospheric Science
Published On
Aug 17, 2021
Authors
Huang Zheng, Shaofei Kong, Nan Chen, Zewei Fan, Ying Zhang, Liquan Yao, Yi Cheng, Shurui Zheng, Yingying Yan, Dantong Liu, Delong Zhao, Chao Liu, Tianliang Zhao, Jianping Guo, Shihua Qi
Tags
black carbon
potassium
Aethalometer model
absorption Ångström exponent
wood burning

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