Articles | Volume 18, issue 17
https://doi.org/10.5194/acp-18-13215-2018
© 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-18-13215-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
13 Sep 2018
Research article |
| 13 Sep 2018
| 13 Sep 2018
Source apportionment of atmospheric aerosol in a marine dusty environment by ionic/composition mass balance (IMB)
João Cardoso
CESAM & Dep. Environ, Aveiro University, Aveiro, Portugal
Department of Science and Technology, Cape Verde University, Praia, Cabo Verde
Susana M. Almeida
TN, Instituto Superior Técnico, Lisbon University,
Bobadela, Portugal
Teresa Nunes
CESAM & Dep. Environ, Aveiro University, Aveiro, Portugal
Marina Almeida-Silva
TN, Instituto Superior Técnico, Lisbon University,
Bobadela, Portugal
Mário Cerqueira
CESAM & Dep. Environ, Aveiro University, Aveiro, Portugal
Célia Alves
CESAM & Dep. Environ, Aveiro University, Aveiro, Portugal
Fernando Rocha
Geobiotec & Dep. Geosciences, Aveiro University, Aveiro, Portugal
Paula Chaves
TN, Instituto Superior Técnico, Lisbon University,
Bobadela, Portugal
Miguel Reis
TN, Instituto Superior Técnico, Lisbon University,
Bobadela, Portugal
Pedro Salvador
Environ Dep, CIEMAT, Madrid, Spain
Begoña Artiñano
Environ Dep, CIEMAT, Madrid, Spain
Casimiro Pio
CORRESPONDING AUTHOR
CESAM & Dep. Environ, Aveiro University, Aveiro, Portugal
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Total article views: 1,978 (including HTML, PDF, and XML)
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Total article views: 562 (including HTML, PDF, and XML)
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Cited
13 citations as recorded by crossref.
- PM2.5 in Cape Town, South Africa: Chemical characterization and source apportionment using dispersion-normalised positive matrix factorization A. Alfeus et al. 10.1016/j.apr.2023.102025
- Source apportionment of PM2.5 and PM10 by Ionic and Mass Balance (IMB) in a traffic-influenced urban atmosphere, in Portugal C. Pio et al. 10.1016/j.atmosenv.2019.117217
- Monitoring the impact of desert dust outbreaks for air quality for health studies X. Querol et al. 10.1016/j.envint.2019.05.061
- Application of TXRF in monitoring trace metals in particulate matter and cloud water K. Fomba et al. 10.5194/amt-13-4773-2020
- Sodium and lithium ions in aerosol: thermodynamic and rayleigh light scattering properties J. Pal et al. 10.1007/s00214-020-02683-z
- Modelling the generation of dusty marine aerosol by expeditionary data and remote sensing methods over the Black Sea region A. Papkova et al. 10.1051/e3sconf/202022402031
- Describing Aerosol and Assessing Health Effects in Lima, Peru O. Sánchez-Ccoyllo et al. 10.18178/ijesd.2021.12.12.1361
- Impact of a massive dust storm on the gross alpha, gross beta, 40K, 137Cs, 210Pb, 7Be activities measured in atmospheric aerosols collected in Tenerife, Canary Islands M. López-Pérez et al. 10.1016/j.atmosenv.2020.117806
- Impact of different sources on the oxidative potential of ambient particulate matter PM10 in Riyadh, Saudi Arabia: A focus on dust emissions A. Altuwayjiri et al. 10.1016/j.scitotenv.2021.150590
- Local and NON-LOCAL source apportionment of black carbon and combustion generated PM2.5 J. Rodríguez et al. 10.1016/j.envpol.2024.123568
- Sources and Temporal Variations of Coarse Particulate Matter (PM) in Central Tehran, Iran E. Soleimanian et al. 10.3390/atmos10050291
- Impact of the COVID-19 lockdown to a port-city area: A two-year comparative PMF analysis of PM10 of polluting sources D. Tobarra et al. 10.1016/j.atmosenv.2023.120285
- Impact of biomass burning and non-exhaust vehicle emissions on PM10 levels in a mid-size non-industrial western Iberian city C. Pio et al. 10.1016/j.atmosenv.2022.119293
13 citations as recorded by crossref.
- PM2.5 in Cape Town, South Africa: Chemical characterization and source apportionment using dispersion-normalised positive matrix factorization A. Alfeus et al. 10.1016/j.apr.2023.102025
- Source apportionment of PM2.5 and PM10 by Ionic and Mass Balance (IMB) in a traffic-influenced urban atmosphere, in Portugal C. Pio et al. 10.1016/j.atmosenv.2019.117217
- Monitoring the impact of desert dust outbreaks for air quality for health studies X. Querol et al. 10.1016/j.envint.2019.05.061
- Application of TXRF in monitoring trace metals in particulate matter and cloud water K. Fomba et al. 10.5194/amt-13-4773-2020
- Sodium and lithium ions in aerosol: thermodynamic and rayleigh light scattering properties J. Pal et al. 10.1007/s00214-020-02683-z
- Modelling the generation of dusty marine aerosol by expeditionary data and remote sensing methods over the Black Sea region A. Papkova et al. 10.1051/e3sconf/202022402031
- Describing Aerosol and Assessing Health Effects in Lima, Peru O. Sánchez-Ccoyllo et al. 10.18178/ijesd.2021.12.12.1361
- Impact of a massive dust storm on the gross alpha, gross beta, 40K, 137Cs, 210Pb, 7Be activities measured in atmospheric aerosols collected in Tenerife, Canary Islands M. López-Pérez et al. 10.1016/j.atmosenv.2020.117806
- Impact of different sources on the oxidative potential of ambient particulate matter PM10 in Riyadh, Saudi Arabia: A focus on dust emissions A. Altuwayjiri et al. 10.1016/j.scitotenv.2021.150590
- Local and NON-LOCAL source apportionment of black carbon and combustion generated PM2.5 J. Rodríguez et al. 10.1016/j.envpol.2024.123568
- Sources and Temporal Variations of Coarse Particulate Matter (PM) in Central Tehran, Iran E. Soleimanian et al. 10.3390/atmos10050291
- Impact of the COVID-19 lockdown to a port-city area: A two-year comparative PMF analysis of PM10 of polluting sources D. Tobarra et al. 10.1016/j.atmosenv.2023.120285
- Impact of biomass burning and non-exhaust vehicle emissions on PM10 levels in a mid-size non-industrial western Iberian city C. Pio et al. 10.1016/j.atmosenv.2022.119293
Discussed (final revised paper)
Latest update: 24 Dec 2024
Short summary
Atmospheric aerosol was sampled in Cabo Verde and analysed for chemical composition. Very high levels of dust were measured during the winter months, as a result of transport from Africa. Mass balances were applied to the particulate material, permitting the determination of seven different source contributions to the aerosol loading. The balance methodology compared favourably with standard source apportionment methods, showing its capability for the source apportionment of aerosol particles.
Atmospheric aerosol was sampled in Cabo Verde and analysed for chemical composition. Very high...
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