Shaofei Kong, Juan Cao, Xujing Qin, Tingting Wang, Xuan Xiang, Jian Wu, Shihua Qi, Yingying Yan, Yan Yin, Wei Liu, Feng Ding
{"title":"中国细颗粒物综合亚型源剖面：化学成分、标志物、诊断比率及其大气化学意义","authors":"Shaofei Kong, Juan Cao, Xujing Qin, Tingting Wang, Xuan Xiang, Jian Wu, Shihua Qi, Yingying Yan, Yan Yin, Wei Liu, Feng Ding","doi":"10.1038/s41612-025-01110-z","DOIUrl":null,"url":null,"abstract":"<p>Comprehensive PM<sub>2.5</sub> source profiles were established for 34 sub-types of sources, with markers and diagnostic ratios updated. OC, EC, SO<sub>4</sub><sup>2</sup><sup>−</sup>, NO<sub>3</sub><sup>−</sup>, Si, Al, Mg, Ca, Ti, and Fe were dominant species. The maize straw, wheat straw, honeycomb coal burning, firework burning, barbeque and cooking are expected to be separated by receptor modeling. EC, Ca, Fe, and Mg can trace nearly all sources. New markers were identified, like Ti, V and Ni for coal-fired power plants. Ternary diagrams were proposed to identify K<sup>+</sup>-Na<sup>+</sup>-Ca<sup>2+</sup> sources, and Fe existence form. OC/EC and (SNA + OC)/soot-EC ratio for indicating primary OC and mixing state of soot particles were assessed. Fe, Mn and Cu solubilities varied with magnitude differences according to their ratios to SO<sub>4</sub><sup>2</sup><sup>−</sup>. For updating OC, EC, SO<sub>4</sub><sup>2</sup><sup>−</sup>, NO<sub>3</sub><sup>−</sup>, P and Cl<sup>−</sup> emission inventories, anthropogenic dust should be included. The results are helpful for improving knowledge on aerosol chemical transformation and biogeochemical cycle.</p>","PeriodicalId":19438,"journal":{"name":"npj Climate and Atmospheric Science","volume":"47 1","pages":""},"PeriodicalIF":8.5000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A comprehensive sub-type source profile of fine particle in China: chemical composition, markers, diagnostic ratios and implication for atmospheric chemistry\",\"authors\":\"Shaofei Kong, Juan Cao, Xujing Qin, Tingting Wang, Xuan Xiang, Jian Wu, Shihua Qi, Yingying Yan, Yan Yin, Wei Liu, Feng Ding\",\"doi\":\"10.1038/s41612-025-01110-z\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Comprehensive PM<sub>2.5</sub> source profiles were established for 34 sub-types of sources, with markers and diagnostic ratios updated. OC, EC, SO<sub>4</sub><sup>2</sup><sup>−</sup>, NO<sub>3</sub><sup>−</sup>, Si, Al, Mg, Ca, Ti, and Fe were dominant species. The maize straw, wheat straw, honeycomb coal burning, firework burning, barbeque and cooking are expected to be separated by receptor modeling. EC, Ca, Fe, and Mg can trace nearly all sources. New markers were identified, like Ti, V and Ni for coal-fired power plants. Ternary diagrams were proposed to identify K<sup>+</sup>-Na<sup>+</sup>-Ca<sup>2+</sup> sources, and Fe existence form. OC/EC and (SNA + OC)/soot-EC ratio for indicating primary OC and mixing state of soot particles were assessed. Fe, Mn and Cu solubilities varied with magnitude differences according to their ratios to SO<sub>4</sub><sup>2</sup><sup>−</sup>. For updating OC, EC, SO<sub>4</sub><sup>2</sup><sup>−</sup>, NO<sub>3</sub><sup>−</sup>, P and Cl<sup>−</sup> emission inventories, anthropogenic dust should be included. The results are helpful for improving knowledge on aerosol chemical transformation and biogeochemical cycle.</p>\",\"PeriodicalId\":19438,\"journal\":{\"name\":\"npj Climate and Atmospheric Science\",\"volume\":\"47 1\",\"pages\":\"\"},\"PeriodicalIF\":8.5000,\"publicationDate\":\"2025-07-01\",\"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/s41612-025-01110-z\",\"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/s41612-025-01110-z","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}
A comprehensive sub-type source profile of fine particle in China: chemical composition, markers, diagnostic ratios and implication for atmospheric chemistry
Comprehensive PM2.5 source profiles were established for 34 sub-types of sources, with markers and diagnostic ratios updated. OC, EC, SO42−, NO3−, Si, Al, Mg, Ca, Ti, and Fe were dominant species. The maize straw, wheat straw, honeycomb coal burning, firework burning, barbeque and cooking are expected to be separated by receptor modeling. EC, Ca, Fe, and Mg can trace nearly all sources. New markers were identified, like Ti, V and Ni for coal-fired power plants. Ternary diagrams were proposed to identify K+-Na+-Ca2+ sources, and Fe existence form. OC/EC and (SNA + OC)/soot-EC ratio for indicating primary OC and mixing state of soot particles were assessed. Fe, Mn and Cu solubilities varied with magnitude differences according to their ratios to SO42−. For updating OC, EC, SO42−, NO3−, P and Cl− emission inventories, anthropogenic dust should be included. The results are helpful for improving knowledge on aerosol chemical transformation and biogeochemical cycle.
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.
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