Xiansheng Liu, Xun Zhang, Bowen Jin, Tao Wang, Siyuan Qian, Jin Zou, Vy Ngoc Thuy Dinh, Jean-Luc Jaffrezo, Gaëlle Uzu, Pamela Dominutti, Sophie Darfeuil, Olivier Favez, Sébastien Conil, Nicolas Marchand, Sonia Castillo, Jesús D. de la Rosa, Stuart Grange, Christoph Hueglin, Konstantinos Eleftheriadis, Evangelia Diapouli, Manousos-Ioannis Manousakas, Maria Gini, Silvia Nava, Giulia Calzolai, Célia Alves, Marta Monge, Cristina Reche, Roy M. Harrison, Philip K. Hopke, Andrés Alastuey, Xavier Querol
{"title":"基于24个欧洲站点的离线化学形态数据的PM10来源分配","authors":"Xiansheng Liu, Xun Zhang, Bowen Jin, Tao Wang, Siyuan Qian, Jin Zou, Vy Ngoc Thuy Dinh, Jean-Luc Jaffrezo, Gaëlle Uzu, Pamela Dominutti, Sophie Darfeuil, Olivier Favez, Sébastien Conil, Nicolas Marchand, Sonia Castillo, Jesús D. de la Rosa, Stuart Grange, Christoph Hueglin, Konstantinos Eleftheriadis, Evangelia Diapouli, Manousos-Ioannis Manousakas, Maria Gini, Silvia Nava, Giulia Calzolai, Célia Alves, Marta Monge, Cristina Reche, Roy M. Harrison, Philip K. Hopke, Andrés Alastuey, Xavier Querol","doi":"10.1038/s41612-025-01097-7","DOIUrl":null,"url":null,"abstract":"<p>This study applied Positive Matrix Factorization (PMF) to PM<sub>10</sub> speciation datasets from 24 urban sites across six European countries (France, Greece, Italy, Portugal, Spain, and Switzerland) to perform a detailed source apportionment (SA) analysis. By using a consistent source apportionment tool for all datasets, the study enhances the comparability of PM<sub>10</sub> SA results across urban Europe. The results identified seven major PM<sub>10</sub> sources including road traffic, biomass burning, crustal/mineral sources, secondary aerosols, industrial emissions, sea salt, and heavy oil combustion (HOC). Road traffic emerged as the predominant source of PM<sub>10</sub> in urban areas, with contributions varying by location, but representing as much as 41% in high-traffic zones. Biomass burning was detected at 23 sites, contributing 8% to 41% on yearly averages, with substantial increase in winter. Crustal sources were present at all sites (3–33%). Industrial sources contributed relatively less PM<sub>10</sub> mass, which was identified at 10 sites with contributions ranging from 2% to 14%. Secondary inorganic and organic aerosol, consisting primarily of ammonium nitrates and sulfates, and organic matter, formed a portion of the PM<sub>10</sub> mass (5–41%). These secondary factors are primarily influenced by anthropogenic emissions, including the various combustion processes. Sea salt, predominantly found in coastal areas, contributed between 4% and 21%, reflecting the impact of the marine environments on air quality. This source was very often ‘aged’ (mixed with anthropogenic pollutants from different origins). Additionally, HOC, especially emits from shipping activities, and traced by V and Ni, was also a frequent contributing source (2–15% for 9 sites), indicating a need for more stringent emission controls. The chemical comparison is performed which indicates road traffic and secondary aerosols, showed consistent chemical profiles across sites, while industrial, HOC, and crustal sources displayed significant site-specific variability. These findings underscore the need for tailored air quality strategies according to local sources of emissions and the importance of long-term PM speciation monitoring for effective pollution control.</p>","PeriodicalId":19438,"journal":{"name":"npj Climate and Atmospheric Science","volume":"27 1","pages":""},"PeriodicalIF":8.5000,"publicationDate":"2025-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Source apportionment of PM10 based on offline chemical speciation data at 24 European sites\",\"authors\":\"Xiansheng Liu, Xun Zhang, Bowen Jin, Tao Wang, Siyuan Qian, Jin Zou, Vy Ngoc Thuy Dinh, Jean-Luc Jaffrezo, Gaëlle Uzu, Pamela Dominutti, Sophie Darfeuil, Olivier Favez, Sébastien Conil, Nicolas Marchand, Sonia Castillo, Jesús D. de la Rosa, Stuart Grange, Christoph Hueglin, Konstantinos Eleftheriadis, Evangelia Diapouli, Manousos-Ioannis Manousakas, Maria Gini, Silvia Nava, Giulia Calzolai, Célia Alves, Marta Monge, Cristina Reche, Roy M. Harrison, Philip K. Hopke, Andrés Alastuey, Xavier Querol\",\"doi\":\"10.1038/s41612-025-01097-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>This study applied Positive Matrix Factorization (PMF) to PM<sub>10</sub> speciation datasets from 24 urban sites across six European countries (France, Greece, Italy, Portugal, Spain, and Switzerland) to perform a detailed source apportionment (SA) analysis. By using a consistent source apportionment tool for all datasets, the study enhances the comparability of PM<sub>10</sub> SA results across urban Europe. The results identified seven major PM<sub>10</sub> sources including road traffic, biomass burning, crustal/mineral sources, secondary aerosols, industrial emissions, sea salt, and heavy oil combustion (HOC). Road traffic emerged as the predominant source of PM<sub>10</sub> in urban areas, with contributions varying by location, but representing as much as 41% in high-traffic zones. Biomass burning was detected at 23 sites, contributing 8% to 41% on yearly averages, with substantial increase in winter. Crustal sources were present at all sites (3–33%). Industrial sources contributed relatively less PM<sub>10</sub> mass, which was identified at 10 sites with contributions ranging from 2% to 14%. Secondary inorganic and organic aerosol, consisting primarily of ammonium nitrates and sulfates, and organic matter, formed a portion of the PM<sub>10</sub> mass (5–41%). These secondary factors are primarily influenced by anthropogenic emissions, including the various combustion processes. Sea salt, predominantly found in coastal areas, contributed between 4% and 21%, reflecting the impact of the marine environments on air quality. This source was very often ‘aged’ (mixed with anthropogenic pollutants from different origins). Additionally, HOC, especially emits from shipping activities, and traced by V and Ni, was also a frequent contributing source (2–15% for 9 sites), indicating a need for more stringent emission controls. The chemical comparison is performed which indicates road traffic and secondary aerosols, showed consistent chemical profiles across sites, while industrial, HOC, and crustal sources displayed significant site-specific variability. These findings underscore the need for tailored air quality strategies according to local sources of emissions and the importance of long-term PM speciation monitoring for effective pollution control.</p>\",\"PeriodicalId\":19438,\"journal\":{\"name\":\"npj Climate and Atmospheric Science\",\"volume\":\"27 1\",\"pages\":\"\"},\"PeriodicalIF\":8.5000,\"publicationDate\":\"2025-07-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"npj Climate and Atmospheric Science\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.1038/s41612-025-01097-7\",\"RegionNum\":1,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"METEOROLOGY & ATMOSPHERIC SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"npj Climate and Atmospheric Science","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1038/s41612-025-01097-7","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
Source apportionment of PM10 based on offline chemical speciation data at 24 European sites
This study applied Positive Matrix Factorization (PMF) to PM10 speciation datasets from 24 urban sites across six European countries (France, Greece, Italy, Portugal, Spain, and Switzerland) to perform a detailed source apportionment (SA) analysis. By using a consistent source apportionment tool for all datasets, the study enhances the comparability of PM10 SA results across urban Europe. The results identified seven major PM10 sources including road traffic, biomass burning, crustal/mineral sources, secondary aerosols, industrial emissions, sea salt, and heavy oil combustion (HOC). Road traffic emerged as the predominant source of PM10 in urban areas, with contributions varying by location, but representing as much as 41% in high-traffic zones. Biomass burning was detected at 23 sites, contributing 8% to 41% on yearly averages, with substantial increase in winter. Crustal sources were present at all sites (3–33%). Industrial sources contributed relatively less PM10 mass, which was identified at 10 sites with contributions ranging from 2% to 14%. Secondary inorganic and organic aerosol, consisting primarily of ammonium nitrates and sulfates, and organic matter, formed a portion of the PM10 mass (5–41%). These secondary factors are primarily influenced by anthropogenic emissions, including the various combustion processes. Sea salt, predominantly found in coastal areas, contributed between 4% and 21%, reflecting the impact of the marine environments on air quality. This source was very often ‘aged’ (mixed with anthropogenic pollutants from different origins). Additionally, HOC, especially emits from shipping activities, and traced by V and Ni, was also a frequent contributing source (2–15% for 9 sites), indicating a need for more stringent emission controls. The chemical comparison is performed which indicates road traffic and secondary aerosols, showed consistent chemical profiles across sites, while industrial, HOC, and crustal sources displayed significant site-specific variability. These findings underscore the need for tailored air quality strategies according to local sources of emissions and the importance of long-term PM speciation monitoring for effective pollution control.
期刊介绍:
npj Climate and Atmospheric Science is an open-access journal encompassing the relevant physical, chemical, and biological aspects of atmospheric and climate science. The journal places particular emphasis on regional studies that unveil new insights into specific localities, including examinations of local atmospheric composition, such as aerosols.
The range of topics covered by the journal includes climate dynamics, climate variability, weather and climate prediction, climate change, ocean dynamics, weather extremes, air pollution, atmospheric chemistry (including aerosols), the hydrological cycle, and atmosphere–ocean and atmosphere–land interactions. The journal welcomes studies employing a diverse array of methods, including numerical and statistical modeling, the development and application of in situ observational techniques, remote sensing, and the development or evaluation of new reanalyses.