Instruments measuring aerosol light absorption, such as the Aethalometer and the Multi Wavelength Absorbance Analyzer (MWAA), have been extensively used to characterize optical absorption of atmospheric particulate matter. Data retrieved with such instruments can be analysed with mathematical models to apportion different aerosol sources (Aethalometer model) and components (MWAA model). In this work we present an upgrade to the MWAA optical apportionment model. In addition to the apportionment of the absorption coefficient babs in its components (black carbon and brown carbon) and sources (fossil fuels and wood burning), the extended model allows for the retrieval of the absorption Angstrom exponent of each component and source, thereby avoiding initial assumptions regarding these parameters. We also present a new open-source software toolkit, the MWAA model toolkit (MWAA MT), written in both Python and R, that performs the entire apportionment procedure

A new software toolkit for optical apportionment of carbonaceous aerosol

Tommaso Isolabella;Marco Brunoldi;Federico Mazzei;Paolo Prati;Virginia Vernocchi;Dario Massabo
2024-01-01

Abstract

Instruments measuring aerosol light absorption, such as the Aethalometer and the Multi Wavelength Absorbance Analyzer (MWAA), have been extensively used to characterize optical absorption of atmospheric particulate matter. Data retrieved with such instruments can be analysed with mathematical models to apportion different aerosol sources (Aethalometer model) and components (MWAA model). In this work we present an upgrade to the MWAA optical apportionment model. In addition to the apportionment of the absorption coefficient babs in its components (black carbon and brown carbon) and sources (fossil fuels and wood burning), the extended model allows for the retrieval of the absorption Angstrom exponent of each component and source, thereby avoiding initial assumptions regarding these parameters. We also present a new open-source software toolkit, the MWAA model toolkit (MWAA MT), written in both Python and R, that performs the entire apportionment procedure
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/1166662
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