Jincheng Xing , Qianqian Hong , Baixue Yang , Chengzhi Xing , Shijian Yang , Mao Mao , Wenjing Su , Yujia Chen , Chengxin Zhang
{"title":"广州地区乙二醛和二次甲醛挥发性有机物前体的MAX-DOAS来源鉴定","authors":"Jincheng Xing , Qianqian Hong , Baixue Yang , Chengzhi Xing , Shijian Yang , Mao Mao , Wenjing Su , Yujia Chen , Chengxin Zhang","doi":"10.1016/j.atmosres.2025.108256","DOIUrl":null,"url":null,"abstract":"<div><div>Glyoxal (CHOCHO) and formaldehyde (HCHO) are vital oxidization intermediates of volatile organic compounds (VOCs) and play a significant role in studying VOC precursor sources. This research utilizes multi-axis differential optical absorption spectroscopy (MAX-DOAS) to measure vertical column densities (VCDs) of CHOCHO, HCHO, and NO<sub>2</sub> in Guangzhou, China, from June 2019 to June 2020. A sensitivity analysis for DOAS fitting was performed to accurately retrieve CHOCHO due to its low atmospheric concentration. Increased CHOCHO and HCHO levels from June to October 2019 were attributed to heightened photochemical oxidation, while higher CHOCHO levels in November and December 2019 were linked to increased anthropogenic emissions. CHOCHO and HCHO VCDs were lowest in the mornings, increasing with light intensity, whereas NO<sub>2</sub> peaked in the mornings and evenings. Additionally, we utilized the CO-O<sub>x</sub> trace pair to distinguish between primary and secondary HCHO sources, finding that 79.32 % of HCHO originated from secondary formation via photochemical processes. We employed four indicators (R<sub>GF</sub>, R<sub>GF-1</sub>, R<sub>GF-2</sub>, and R<sub>GF-3</sub>) to identify the sources of VOC precursors. R<sub>GF-1</sub>, R<sub>GF-2</sub> and R<sub>GF-3</sub>, corresponding to different model scenarios with increased HCHO<sub>pri</sub> contributions, were greater than the traditional R<sub>GF</sub>, emphasizing the influence of AVOC while minimizing BVOC effects. These findings emphasize the importance of considering primary HCHO contributions for accurate VOC source identification and effective air pollution control strategies. Additionally, R<sub>GF</sub> values derived from MAX-DOAS were found to be 1.29 times higher than those from TROPOMI, suggesting a greater tendency of TROPOMI R<sub>GF</sub> to identify BVOC sources.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"325 ","pages":"Article 108256"},"PeriodicalIF":4.5000,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Source identification of volatile organic compounds precursors from glyoxal and secondary formaldehyde utilizing MAX-DOAS observations in guangzhou, China\",\"authors\":\"Jincheng Xing , Qianqian Hong , Baixue Yang , Chengzhi Xing , Shijian Yang , Mao Mao , Wenjing Su , Yujia Chen , Chengxin Zhang\",\"doi\":\"10.1016/j.atmosres.2025.108256\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Glyoxal (CHOCHO) and formaldehyde (HCHO) are vital oxidization intermediates of volatile organic compounds (VOCs) and play a significant role in studying VOC precursor sources. This research utilizes multi-axis differential optical absorption spectroscopy (MAX-DOAS) to measure vertical column densities (VCDs) of CHOCHO, HCHO, and NO<sub>2</sub> in Guangzhou, China, from June 2019 to June 2020. A sensitivity analysis for DOAS fitting was performed to accurately retrieve CHOCHO due to its low atmospheric concentration. Increased CHOCHO and HCHO levels from June to October 2019 were attributed to heightened photochemical oxidation, while higher CHOCHO levels in November and December 2019 were linked to increased anthropogenic emissions. CHOCHO and HCHO VCDs were lowest in the mornings, increasing with light intensity, whereas NO<sub>2</sub> peaked in the mornings and evenings. Additionally, we utilized the CO-O<sub>x</sub> trace pair to distinguish between primary and secondary HCHO sources, finding that 79.32 % of HCHO originated from secondary formation via photochemical processes. We employed four indicators (R<sub>GF</sub>, R<sub>GF-1</sub>, R<sub>GF-2</sub>, and R<sub>GF-3</sub>) to identify the sources of VOC precursors. R<sub>GF-1</sub>, R<sub>GF-2</sub> and R<sub>GF-3</sub>, corresponding to different model scenarios with increased HCHO<sub>pri</sub> contributions, were greater than the traditional R<sub>GF</sub>, emphasizing the influence of AVOC while minimizing BVOC effects. These findings emphasize the importance of considering primary HCHO contributions for accurate VOC source identification and effective air pollution control strategies. Additionally, R<sub>GF</sub> values derived from MAX-DOAS were found to be 1.29 times higher than those from TROPOMI, suggesting a greater tendency of TROPOMI R<sub>GF</sub> to identify BVOC sources.</div></div>\",\"PeriodicalId\":8600,\"journal\":{\"name\":\"Atmospheric Research\",\"volume\":\"325 \",\"pages\":\"Article 108256\"},\"PeriodicalIF\":4.5000,\"publicationDate\":\"2025-06-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Atmospheric Research\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0169809525003485\",\"RegionNum\":2,\"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":"Atmospheric Research","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0169809525003485","RegionNum":2,"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 identification of volatile organic compounds precursors from glyoxal and secondary formaldehyde utilizing MAX-DOAS observations in guangzhou, China
Glyoxal (CHOCHO) and formaldehyde (HCHO) are vital oxidization intermediates of volatile organic compounds (VOCs) and play a significant role in studying VOC precursor sources. This research utilizes multi-axis differential optical absorption spectroscopy (MAX-DOAS) to measure vertical column densities (VCDs) of CHOCHO, HCHO, and NO2 in Guangzhou, China, from June 2019 to June 2020. A sensitivity analysis for DOAS fitting was performed to accurately retrieve CHOCHO due to its low atmospheric concentration. Increased CHOCHO and HCHO levels from June to October 2019 were attributed to heightened photochemical oxidation, while higher CHOCHO levels in November and December 2019 were linked to increased anthropogenic emissions. CHOCHO and HCHO VCDs were lowest in the mornings, increasing with light intensity, whereas NO2 peaked in the mornings and evenings. Additionally, we utilized the CO-Ox trace pair to distinguish between primary and secondary HCHO sources, finding that 79.32 % of HCHO originated from secondary formation via photochemical processes. We employed four indicators (RGF, RGF-1, RGF-2, and RGF-3) to identify the sources of VOC precursors. RGF-1, RGF-2 and RGF-3, corresponding to different model scenarios with increased HCHOpri contributions, were greater than the traditional RGF, emphasizing the influence of AVOC while minimizing BVOC effects. These findings emphasize the importance of considering primary HCHO contributions for accurate VOC source identification and effective air pollution control strategies. Additionally, RGF values derived from MAX-DOAS were found to be 1.29 times higher than those from TROPOMI, suggesting a greater tendency of TROPOMI RGF to identify BVOC sources.
期刊介绍:
The journal publishes scientific papers (research papers, review articles, letters and notes) dealing with the part of the atmosphere where meteorological events occur. Attention is given to all processes extending from the earth surface to the tropopause, but special emphasis continues to be devoted to the physics of clouds, mesoscale meteorology and air pollution, i.e. atmospheric aerosols; microphysical processes; cloud dynamics and thermodynamics; numerical simulation, climatology, climate change and weather modification.