Articles | Volume 18, issue 1
https://doi.org/10.5194/acp-18-289-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-18-289-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Quantifying black carbon light absorption enhancement with a novel statistical approach
Institute of Mass Spectrometer and Atmospheric Environment, Jinan University, Guangzhou 510632, China
Guangdong Provincial Engineering Research Center for On-line Source Apportionment System of Air Pollution, Guangzhou 510632, China
Institute of Mass Spectrometer and Atmospheric Environment, Jinan University, Guangzhou 510632, China
Guangdong Provincial Engineering Research Center for On-line Source Apportionment System of Air Pollution, Guangzhou 510632, China
Institute of Tropical and Marine Meteorology, China Meteorological Administration, Guangzhou 510080, China
Division of Environment, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China
Atmospheric Research Centre, Fok Ying Tung Graduate School, Hong Kong University of Science and Technology, Nansha, China
Department of Chemistry, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China
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Latest update: 23 Nov 2024
Short summary
This work presents a new approach, minimum R squared (MRS) method, to quantify black carbon aerosols light absorption enhancement factor, Eabs, from ambient measurements using an Aethalometer and field carbon analyzer. Application of MRS on 1 year of measurement is demonstrated. This study provides a potential alternative to explore the Eabs information using inexpensive instrumentation with wider temporal coverage.
This work presents a new approach, minimum R squared (MRS) method, to quantify black carbon...
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