Articles | Volume 17, issue 4
https://doi.org/10.5194/amt-17-1363-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-17-1363-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
29 Feb 2024
Research article |
| 29 Feb 2024
| 29 Feb 2024
A new software toolkit for optical apportionment of carbonaceous aerosol
Tommaso Isolabella
Physics Department, University of Genoa, 16146 Genoa, Italy
Genoa Division, National Institute for Nuclear Physics (INFN), 16146 Genoa, Italy
Vera Bernardoni
Dipartimento di Fisica, Università degli Studi di Milano, 20133 Milan, Italy
Milan Division, National Institute for Nuclear Physics (INFN), 20133 Milan, Italy
Alessandro Bigi
Department of Engineering “Enzo Ferrari”, University of Modena and Reggio Emilia, 41125 Modena, Italy
Marco Brunoldi
Physics Department, University of Genoa, 16146 Genoa, Italy
Genoa Division, National Institute for Nuclear Physics (INFN), 16146 Genoa, Italy
Federico Mazzei
CORRESPONDING AUTHOR
Physics Department, University of Genoa, 16146 Genoa, Italy
Genoa Division, National Institute for Nuclear Physics (INFN), 16146 Genoa, Italy
Franco Parodi
Genoa Division, National Institute for Nuclear Physics (INFN), 16146 Genoa, Italy
Paolo Prati
Physics Department, University of Genoa, 16146 Genoa, Italy
Genoa Division, National Institute for Nuclear Physics (INFN), 16146 Genoa, Italy
Virginia Vernocchi
Genoa Division, National Institute for Nuclear Physics (INFN), 16146 Genoa, Italy
Dario Massabò
Physics Department, University of Genoa, 16146 Genoa, Italy
Genoa Division, National Institute for Nuclear Physics (INFN), 16146 Genoa, Italy
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Virginia Vernocchi, Elena Abd El, Marco Brunoldi, Silvia Giulia Danelli, Elena Gatta, Tommaso Isolabella, Federico Mazzei, Franco Parodi, Paolo Prati, and Dario Massabò
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Jesús Yus-Díez, Vera Bernardoni, Griša Močnik, Andrés Alastuey, Davide Ciniglia, Matic Ivančič, Xavier Querol, Noemí Perez, Cristina Reche, Martin Rigler, Roberta Vecchi, Sara Valentini, and Marco Pandolfi
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Here we characterize the multiple-scattering factor, C, of the dual-spot Aethalometer AE33 and its cross-sensitivity to scattering and wavelength dependence for three background stations: urban, regional and mountaintop. C was obtained for two sets of filter tapes: M8020 and M8060. The cross-sensitivity to scattering and wavelength dependence of C were determined by inter-comparing with other absorption and scattering measurements including multi-angle off-line absorption measurements.
Vaios Moschos, Martin Gysel-Beer, Robin L. Modini, Joel C. Corbin, Dario Massabò, Camilla Costa, Silvia G. Danelli, Athanasia Vlachou, Kaspar R. Daellenbach, Sönke Szidat, Paolo Prati, André S. H. Prévôt, Urs Baltensperger, and Imad El Haddad
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This study provides a holistic approach to studying the spectrally resolved light absorption by atmospheric brown carbon (BrC) and black carbon using long time series of daily samples from filter-based measurements. The obtained results provide (1) a better understanding of the aerosol absorption profile and its dependence on BrC and on lensing from less absorbing coatings and (2) an estimation of the most important absorbers at typical European locations.
Silvia G. Danelli, Marco Brunoldi, Dario Massabò, Franco Parodi, Virginia Vernocchi, and Paolo Prati
Atmos. Meas. Tech., 14, 4461–4470, https://doi.org/10.5194/amt-14-4461-2021, https://doi.org/10.5194/amt-14-4461-2021, 2021
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Experiments conducted inside confined artificial environments, such as atmospheric simulation chambers (ASCs), where atmospheric conditions and composition are controlled, can provide valuable information on bio-aerosol viability, dispersion, and impact. We focus here on the reproducible aerosolization and injection of viable microorganisms into an ASC, the first and crucial step of any experimental protocol to expose bio-aerosols to different atmospheric conditions.
Vera Bernardoni, Luca Ferrero, Ezio Bolzacchini, Alice Corina Forello, Asta Gregorič, Dario Massabò, Griša Močnik, Paolo Prati, Martin Rigler, Luca Santagostini, Francesca Soldan, Sara Valentini, Gianluigi Valli, and Roberta Vecchi
Atmos. Meas. Tech., 14, 2919–2940, https://doi.org/10.5194/amt-14-2919-2021, https://doi.org/10.5194/amt-14-2919-2021, 2021
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An instrument-dependent wavelength-independent parameter (C) is often used to face multiple-scattering issues affecting aerosol light absorption measurements by Aethalometers. Instead, we determined multi-wavelength C by comparison with absorption measurements of samples collected in parallel performed by an instrument developed in-house. Considering C wavelength dependence, harmonized results were obtained applying source and component apportionment models to data from different Aethalometers.
Martine Collaud Coen, Elisabeth Andrews, Alessandro Bigi, Giovanni Martucci, Gonzague Romanens, Frédéric P. A. Vogt, and Laurent Vuilleumier
Atmos. Meas. Tech., 13, 6945–6964, https://doi.org/10.5194/amt-13-6945-2020, https://doi.org/10.5194/amt-13-6945-2020, 2020
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The Mann–Kendall trend test requires prewhitening in the presence of serially correlated data. The effects of five prewhitening methods and time granularity, autocorrelation, temporal segmentation and length of the time series on the statistical significance and the slope are studies for seven atmospheric datasets. Finally, a new algorithm using three prewhitening methods is proposed in order to optimize the power of the test, the amount of erroneous false positive trends and the slope estimate.
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Short summary
We present an innovative software toolkit to differentiate sources of carbonaceous aerosol in the atmosphere. Our toolkit implements an upgraded mathematical model which allows for determination of fundamental optical properties of the aerosol, its sources, and the mass concentration of different carbonaceous species of particulate matter. We have tested the functionality of the software by re-analysing published data, and we obtained a compatible results with additional information.
We present an innovative software toolkit to differentiate sources of carbonaceous aerosol in...
