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...

Full description

Bibliographic Details
Main Authors: S. Vratolis, E. Diapouli, M. I. Manousakas, S. M. Almeida, I. Beslic, Z. Kertesz, L. Samek, K. Eleftheriadis
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, Hungary​​​​​​​Faculty 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