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Source Apportionment of Aerosol at a Coastal Site and Relationships with Precipitation Chemistry: A Case Study over the Southeast United States
This study focuses on the long-term aerosol and precipitation chemistry measurements from colocated monitoring sites in Southern Florida between 2013 and 2018. A positive matrix factorization (PMF) model identified six potential emission sources impacting the study area. The PMF model solution yield...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8243544/ https://www.ncbi.nlm.nih.gov/pubmed/34211764 http://dx.doi.org/10.3390/atmos11111212 |
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author | Corral, Andrea F. Dadashazar, Hossein Stahl, Connor Edwards, Eva-Lou Zuidema, Paquita Sorooshian, Armin |
author_facet | Corral, Andrea F. Dadashazar, Hossein Stahl, Connor Edwards, Eva-Lou Zuidema, Paquita Sorooshian, Armin |
author_sort | Corral, Andrea F. |
collection | PubMed |
description | This study focuses on the long-term aerosol and precipitation chemistry measurements from colocated monitoring sites in Southern Florida between 2013 and 2018. A positive matrix factorization (PMF) model identified six potential emission sources impacting the study area. The PMF model solution yielded the following source concentration profiles: (i) combustion; (ii) fresh sea salt; (iii) aged sea salt; (iv) secondary sulfate; (v) shipping emissions; and (vi) dust. Based on these results, concentration-weighted trajectory maps were developed to identify sources contributing to the PMF factors. Monthly mean precipitation pH values ranged from 4.98 to 5.58, being positively related to crustal species and negatively related to SO(4)(2−). Sea salt dominated wet deposition volume-weighted concentrations year-round without much variability in its mass fraction in contrast to stronger seasonal changes in PM(2.5) composition where fresh sea salt was far less influential. The highest mean annual deposition fluxes were attributed to Cl(−), NO(3)(−), SO(4)(2−), and Na(+) between April and October. Nitrate is strongly correlated with dust constituents (unlike sea salt) in precipitation samples, indicative of efficient partitioning to dust. Interrelationships between precipitation chemistry and aerosol species based on long-term surface data provide insight into aerosol–cloud–precipitation interactions. |
format | Online Article Text |
id | pubmed-8243544 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-82435442021-06-30 Source Apportionment of Aerosol at a Coastal Site and Relationships with Precipitation Chemistry: A Case Study over the Southeast United States Corral, Andrea F. Dadashazar, Hossein Stahl, Connor Edwards, Eva-Lou Zuidema, Paquita Sorooshian, Armin Atmosphere (Basel) Article This study focuses on the long-term aerosol and precipitation chemistry measurements from colocated monitoring sites in Southern Florida between 2013 and 2018. A positive matrix factorization (PMF) model identified six potential emission sources impacting the study area. The PMF model solution yielded the following source concentration profiles: (i) combustion; (ii) fresh sea salt; (iii) aged sea salt; (iv) secondary sulfate; (v) shipping emissions; and (vi) dust. Based on these results, concentration-weighted trajectory maps were developed to identify sources contributing to the PMF factors. Monthly mean precipitation pH values ranged from 4.98 to 5.58, being positively related to crustal species and negatively related to SO(4)(2−). Sea salt dominated wet deposition volume-weighted concentrations year-round without much variability in its mass fraction in contrast to stronger seasonal changes in PM(2.5) composition where fresh sea salt was far less influential. The highest mean annual deposition fluxes were attributed to Cl(−), NO(3)(−), SO(4)(2−), and Na(+) between April and October. Nitrate is strongly correlated with dust constituents (unlike sea salt) in precipitation samples, indicative of efficient partitioning to dust. Interrelationships between precipitation chemistry and aerosol species based on long-term surface data provide insight into aerosol–cloud–precipitation interactions. 2020-11-10 2020-11 /pmc/articles/PMC8243544/ /pubmed/34211764 http://dx.doi.org/10.3390/atmos11111212 Text en https://creativecommons.org/licenses/by/4.0/This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ). |
spellingShingle | Article Corral, Andrea F. Dadashazar, Hossein Stahl, Connor Edwards, Eva-Lou Zuidema, Paquita Sorooshian, Armin Source Apportionment of Aerosol at a Coastal Site and Relationships with Precipitation Chemistry: A Case Study over the Southeast United States |
title | Source Apportionment of Aerosol at a Coastal Site and Relationships with Precipitation Chemistry: A Case Study over the Southeast United States |
title_full | Source Apportionment of Aerosol at a Coastal Site and Relationships with Precipitation Chemistry: A Case Study over the Southeast United States |
title_fullStr | Source Apportionment of Aerosol at a Coastal Site and Relationships with Precipitation Chemistry: A Case Study over the Southeast United States |
title_full_unstemmed | Source Apportionment of Aerosol at a Coastal Site and Relationships with Precipitation Chemistry: A Case Study over the Southeast United States |
title_short | Source Apportionment of Aerosol at a Coastal Site and Relationships with Precipitation Chemistry: A Case Study over the Southeast United States |
title_sort | source apportionment of aerosol at a coastal site and relationships with precipitation chemistry: a case study over the southeast united states |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8243544/ https://www.ncbi.nlm.nih.gov/pubmed/34211764 http://dx.doi.org/10.3390/atmos11111212 |
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