A new method for the quantification of ambient particulate-matter emission fluxes
<p>An inversion method has been developed in order to quantify the emission fluxes of certain aerosol pollution sources across a wide region in the Northern Hemisphere, mainly in Europe and western Asia. The data employed are the aerosol contribution factors deducted by positive matrix factori...
Main Authors: | , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2023-06-01
|
Series: | Atmospheric Chemistry and Physics |
Online Access: | https://acp.copernicus.org/articles/23/6941/2023/acp-23-6941-2023.pdf |
_version_ | 1797797635022651392 |
---|---|
author | S. Vratolis E. Diapouli M. I. Manousakas S. M. Almeida I. Beslic Z. Kertesz L. Samek K. Eleftheriadis |
author_facet | S. Vratolis E. Diapouli M. I. Manousakas S. M. Almeida I. Beslic Z. Kertesz L. Samek K. Eleftheriadis |
author_sort | S. Vratolis |
collection | DOAJ |
description | <p>An inversion method has been developed in order to quantify the emission fluxes of certain aerosol pollution sources across a wide region in the Northern Hemisphere, mainly in Europe and western Asia. The data employed are the aerosol contribution factors deducted by positive matrix factorization (PMF) on a PM<span class="inline-formula"><sub>2.5</sub></span> chemical composition dataset from 16 European and Asian cities for the period 2014 to 2016. The spatial resolution of the method corresponds to the geographic grid cell size of the Lagrangian particle dispersion model (Flexible Particle Dispersion Model, FLEXPART, 1<span class="inline-formula"><sup>∘</sup></span> <span class="inline-formula">×</span> 1<span class="inline-formula"><sup>∘</sup></span>) which was utilized for the air mass backward simulations. The area covered is also related to the location of the 16 cities under study. Species with an aerodynamic geometric mean diameter of 400 nm and 3.1 <span class="inline-formula">µ</span>m and a geometric standard deviation of 1.6 and 2.25, respectively, were used to model the secondary sulfate and dust aerosol transport. Potential source contribution function (PSCF) analysis and generalized Tikhonov regularization were applied so as to acquire potential source areas and quantify their emission fluxes. A significant source area for secondary sulfate on the east of the Caspian Sea is indicated, when data from all stations are used. The maximum emission flux in that area is as high as 10 <span class="inline-formula">×</span> 10<span class="inline-formula"><sup>−12</sup></span> kg m<span class="inline-formula"><sup>−2</sup></span> s<span class="inline-formula"><sup>−1</sup></span>. When Vilnius, Dushanbe, and Kurchatov data were excluded, the areas with the highest emission fluxes were the western and central Balkans and southern Poland. The results display many similarities to the SO<span class="inline-formula"><sub>2</sub></span> emission maps provided by the OMI-HTAP (Ozone Monitoring Instrument-Hemispheric Transport Air Pollution) and ECLIPSE (Evaluating the Climate and Air Quality Impacts of Short-Lived Pollutants) databases. For dust aerosol, measurements from Athens, Belgrade, Debrecen, Lisbon, Tirana, and Zagreb are utilized. The west Sahara region is indicated as the most important source area, and its contribution is quantified, with a maximum of 17.6 <span class="inline-formula">×</span> 10<span class="inline-formula"><sup>−12</sup></span> kg m<span class="inline-formula"><sup>−2</sup></span> s<span class="inline-formula"><sup>−1</sup></span>. When we apply the emission fluxes from every geographic grid cell (1<span class="inline-formula"><sup>∘</sup></span> <span class="inline-formula">×</span> 1<span class="inline-formula"><sup>∘</sup></span>) for secondary sulfate aerosol deducted with the new method to air masses originating from Vilnius, a useful approximation to the measured values is achieved.</p> |
first_indexed | 2024-03-13T03:51:20Z |
format | Article |
id | doaj.art-e890563dd79d41caa358568916164e99 |
institution | Directory Open Access Journal |
issn | 1680-7316 1680-7324 |
language | English |
last_indexed | 2024-03-13T03:51:20Z |
publishDate | 2023-06-01 |
publisher | Copernicus Publications |
record_format | Article |
series | Atmospheric Chemistry and Physics |
spelling | doaj.art-e890563dd79d41caa358568916164e992023-06-22T13:17:12ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242023-06-01236941696110.5194/acp-23-6941-2023A new method for the quantification of ambient particulate-matter emission fluxesS. Vratolis0E. Diapouli1M. I. Manousakas2S. M. Almeida3I. Beslic4Z. Kertesz5L. Samek6K. Eleftheriadis7ENvironmental Radioactivity & Aerosol Technology for atmospheric & Climate ImpacT Lab, INRASTES, NCSR Demokritos, 15310 Ag. Paraskevi, Attica, GreeceENvironmental Radioactivity & Aerosol Technology for atmospheric & Climate ImpacT Lab, INRASTES, NCSR Demokritos, 15310 Ag. Paraskevi, Attica, GreeceLaboratory of Atmospheric Chemistry, Paul Scherrer Institute, Villigen-PSI, 5232, SwitzerlandDepartment of Nuclear Sciences and Engineering & C2TN, Instituto Superior Técnico, Universidade de Lisboa, Bobadela, PortugalEnvironmental Hygiene Unit, Institute for Medical Research and Occupational Health, Zagreb, 10000, CroatiaLaboratory for Heritage Science, Institute for Nuclear Research (ATOMKI), Bem tér 18/C, Debrecen, 4026, HungaryFaculty of Physics and Applied Computer Science, AGH University of Science and Technology, ul. Mickiewicza 30, 30-059, Kraków, PolandENvironmental Radioactivity & Aerosol Technology for atmospheric & Climate ImpacT Lab, INRASTES, NCSR Demokritos, 15310 Ag. Paraskevi, Attica, Greece<p>An inversion method has been developed in order to quantify the emission fluxes of certain aerosol pollution sources across a wide region in the Northern Hemisphere, mainly in Europe and western Asia. The data employed are the aerosol contribution factors deducted by positive matrix factorization (PMF) on a PM<span class="inline-formula"><sub>2.5</sub></span> chemical composition dataset from 16 European and Asian cities for the period 2014 to 2016. The spatial resolution of the method corresponds to the geographic grid cell size of the Lagrangian particle dispersion model (Flexible Particle Dispersion Model, FLEXPART, 1<span class="inline-formula"><sup>∘</sup></span> <span class="inline-formula">×</span> 1<span class="inline-formula"><sup>∘</sup></span>) which was utilized for the air mass backward simulations. The area covered is also related to the location of the 16 cities under study. Species with an aerodynamic geometric mean diameter of 400 nm and 3.1 <span class="inline-formula">µ</span>m and a geometric standard deviation of 1.6 and 2.25, respectively, were used to model the secondary sulfate and dust aerosol transport. Potential source contribution function (PSCF) analysis and generalized Tikhonov regularization were applied so as to acquire potential source areas and quantify their emission fluxes. A significant source area for secondary sulfate on the east of the Caspian Sea is indicated, when data from all stations are used. The maximum emission flux in that area is as high as 10 <span class="inline-formula">×</span> 10<span class="inline-formula"><sup>−12</sup></span> kg m<span class="inline-formula"><sup>−2</sup></span> s<span class="inline-formula"><sup>−1</sup></span>. When Vilnius, Dushanbe, and Kurchatov data were excluded, the areas with the highest emission fluxes were the western and central Balkans and southern Poland. The results display many similarities to the SO<span class="inline-formula"><sub>2</sub></span> emission maps provided by the OMI-HTAP (Ozone Monitoring Instrument-Hemispheric Transport Air Pollution) and ECLIPSE (Evaluating the Climate and Air Quality Impacts of Short-Lived Pollutants) databases. For dust aerosol, measurements from Athens, Belgrade, Debrecen, Lisbon, Tirana, and Zagreb are utilized. The west Sahara region is indicated as the most important source area, and its contribution is quantified, with a maximum of 17.6 <span class="inline-formula">×</span> 10<span class="inline-formula"><sup>−12</sup></span> kg m<span class="inline-formula"><sup>−2</sup></span> s<span class="inline-formula"><sup>−1</sup></span>. When we apply the emission fluxes from every geographic grid cell (1<span class="inline-formula"><sup>∘</sup></span> <span class="inline-formula">×</span> 1<span class="inline-formula"><sup>∘</sup></span>) for secondary sulfate aerosol deducted with the new method to air masses originating from Vilnius, a useful approximation to the measured values is achieved.</p>https://acp.copernicus.org/articles/23/6941/2023/acp-23-6941-2023.pdf |
spellingShingle | S. Vratolis E. Diapouli M. I. Manousakas S. M. Almeida I. Beslic Z. Kertesz L. Samek K. Eleftheriadis A new method for the quantification of ambient particulate-matter emission fluxes Atmospheric Chemistry and Physics |
title | A new method for the quantification of ambient particulate-matter emission fluxes |
title_full | A new method for the quantification of ambient particulate-matter emission fluxes |
title_fullStr | A new method for the quantification of ambient particulate-matter emission fluxes |
title_full_unstemmed | A new method for the quantification of ambient particulate-matter emission fluxes |
title_short | A new method for the quantification of ambient particulate-matter emission fluxes |
title_sort | new method for the quantification of ambient particulate matter emission fluxes |
url | https://acp.copernicus.org/articles/23/6941/2023/acp-23-6941-2023.pdf |
work_keys_str_mv | AT svratolis anewmethodforthequantificationofambientparticulatematteremissionfluxes AT ediapouli anewmethodforthequantificationofambientparticulatematteremissionfluxes AT mimanousakas anewmethodforthequantificationofambientparticulatematteremissionfluxes AT smalmeida anewmethodforthequantificationofambientparticulatematteremissionfluxes AT ibeslic anewmethodforthequantificationofambientparticulatematteremissionfluxes AT zkertesz anewmethodforthequantificationofambientparticulatematteremissionfluxes AT lsamek anewmethodforthequantificationofambientparticulatematteremissionfluxes AT keleftheriadis anewmethodforthequantificationofambientparticulatematteremissionfluxes AT svratolis newmethodforthequantificationofambientparticulatematteremissionfluxes AT ediapouli newmethodforthequantificationofambientparticulatematteremissionfluxes AT mimanousakas newmethodforthequantificationofambientparticulatematteremissionfluxes AT smalmeida newmethodforthequantificationofambientparticulatematteremissionfluxes AT ibeslic newmethodforthequantificationofambientparticulatematteremissionfluxes AT zkertesz newmethodforthequantificationofambientparticulatematteremissionfluxes AT lsamek newmethodforthequantificationofambientparticulatematteremissionfluxes AT keleftheriadis newmethodforthequantificationofambientparticulatematteremissionfluxes |