Kilometer-level glyoxal retrieval via satellite for anthropogenic volatile organic compound emission source and secondary organic aerosol formation identification
Volatile organic compounds (VOCs) are key precursors of PM2.5 and ozone. Glyoxal can be utilized as an indicator of VOC emission sources and secondary organic aerosol (SOA) formation. In this study, the high-resolution satellite observations of glyoxal were utilized to identify anthropogenic VOC sou...
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description | Volatile organic compounds (VOCs) are key precursors of PM2.5 and ozone. Glyoxal can be utilized as an indicator of VOC emission sources and secondary organic aerosol (SOA) formation. In this study, the high-resolution satellite observations of glyoxal were utilized to identify anthropogenic VOC sources, which can be utilized to formulate pollution control policies. Glyoxal vertical column densities were firstly retrieved by the TROPOspheric monitoring instrument (TROPOMI) onboard the Copernicus Sentinel-5 Precursor satellite. Glyoxal retrieval is sensitive to wavelength; therefore, four different areas were studied, and the optimum wavelength range of 435–462 nm was determined and applied in the wavelength sensitivity test. Glyoxal slant column density was corrected by utilizing the daily stripe-correction in the Sahara region which reduces the error by approximately 2.2 × 1014 molec/cm2. Glyoxal vertical column densities computed using TROPOMI were validated via multi-axis differential optical absorption spectroscopy measurements obtained at three sites; the daily normalized mean bias and standard deviation for the three sites were -27.5 % ± 6.5%, 1.8% ± 7.5%, and −6.6 % ± 17.3%, respectively. Monthly averaged data shows good correlation with Pearson correlation coefficients (R) of 0.90, 0.78 and 0.92, at three MAX-DOSA sites, respectively. The global spatial distribution of glyoxal showed large areas of high-concentration glyoxal distributed over tropical rainforests near the equator, which were attributed to biomass combustion and biogenic processes. Numerous urban hotspots were identified to be mainly concentrated in developing countries, especially those in East Asia and the Middle East. The highest glyoxal vertical column densities were observed over eastern China, and the high-glyoxal concentration areas were mainly located over urban and industrial areas, indicating a significant anthropogenic glyoxal source. Kilometer-level TROPOMI can identify factory emission sources that are undetectable by Ozone Monitoring Instrument due to the higher resolution of TROPOMI.
•Realizing the global kilometer-level glyoxal observation for the first time.•Indicating of volatile organic compounds emission sources and secondary organic aerosol formation.•Utilizing glyoxal results to realize identification of factory sources. |
doi_str_mv | 10.1016/j.rse.2021.112852 |
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•Realizing the global kilometer-level glyoxal observation for the first time.•Indicating of volatile organic compounds emission sources and secondary organic aerosol formation.•Utilizing glyoxal results to realize identification of factory sources.</description><identifier>ISSN: 0034-4257</identifier><identifier>EISSN: 1879-0704</identifier><identifier>DOI: 10.1016/j.rse.2021.112852</identifier><language>eng</language><publisher>New York: Elsevier Inc</publisher><subject>Absorption spectroscopy ; Aerosol formation ; Aerosols ; Anthropogenic factors ; Biomass burning ; Correlation coefficient ; Correlation coefficients ; Developing countries ; Emission analysis ; Emission source ; Environmental policy ; Error correction ; Error reduction ; Glyoxal ; Industrial areas ; LDCs ; Monitoring ; Monitoring instruments ; Organic compounds ; Ozone ; Ozone monitoring ; Particulate matter ; Pollution control ; Pollution monitoring ; Precursors ; Rainforests ; Retrieval ; Satellite observation ; Satellites ; Secondary aerosols ; Secondary organic aerosol ; Sensitivity analysis ; Spatial distribution ; Spectroscopy ; TROPOspheric monitoring instrument ; VOCs ; Volatile organic compound ; Volatile organic compounds ; Wavelength</subject><ispartof>Remote sensing of environment, 2022-03, Vol.270, p.112852, Article 112852</ispartof><rights>2021 The Authors</rights><rights>Copyright Elsevier BV Mar 1, 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c368t-ac63fb841bcfdca6f7b5d404e1058cccf0f41b0a36a9dd71a28915c10718c68f3</citedby><cites>FETCH-LOGICAL-c368t-ac63fb841bcfdca6f7b5d404e1058cccf0f41b0a36a9dd71a28915c10718c68f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.rse.2021.112852$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,3548,27922,27923,45993</link.rule.ids></links><search><creatorcontrib>Chen, Yujia</creatorcontrib><creatorcontrib>Su, Wenjing</creatorcontrib><creatorcontrib>Xing, Chengzhi</creatorcontrib><creatorcontrib>Yin, Hao</creatorcontrib><creatorcontrib>Lin, Hua</creatorcontrib><creatorcontrib>Zhang, Chengxin</creatorcontrib><creatorcontrib>Liu, Haoran</creatorcontrib><creatorcontrib>Hu, Qihou</creatorcontrib><creatorcontrib>Liu, Cheng</creatorcontrib><title>Kilometer-level glyoxal retrieval via satellite for anthropogenic volatile organic compound emission source and secondary organic aerosol formation identification</title><title>Remote sensing of environment</title><description>Volatile organic compounds (VOCs) are key precursors of PM2.5 and ozone. Glyoxal can be utilized as an indicator of VOC emission sources and secondary organic aerosol (SOA) formation. In this study, the high-resolution satellite observations of glyoxal were utilized to identify anthropogenic VOC sources, which can be utilized to formulate pollution control policies. Glyoxal vertical column densities were firstly retrieved by the TROPOspheric monitoring instrument (TROPOMI) onboard the Copernicus Sentinel-5 Precursor satellite. Glyoxal retrieval is sensitive to wavelength; therefore, four different areas were studied, and the optimum wavelength range of 435–462 nm was determined and applied in the wavelength sensitivity test. Glyoxal slant column density was corrected by utilizing the daily stripe-correction in the Sahara region which reduces the error by approximately 2.2 × 1014 molec/cm2. Glyoxal vertical column densities computed using TROPOMI were validated via multi-axis differential optical absorption spectroscopy measurements obtained at three sites; the daily normalized mean bias and standard deviation for the three sites were -27.5 % ± 6.5%, 1.8% ± 7.5%, and −6.6 % ± 17.3%, respectively. Monthly averaged data shows good correlation with Pearson correlation coefficients (R) of 0.90, 0.78 and 0.92, at three MAX-DOSA sites, respectively. The global spatial distribution of glyoxal showed large areas of high-concentration glyoxal distributed over tropical rainforests near the equator, which were attributed to biomass combustion and biogenic processes. Numerous urban hotspots were identified to be mainly concentrated in developing countries, especially those in East Asia and the Middle East. The highest glyoxal vertical column densities were observed over eastern China, and the high-glyoxal concentration areas were mainly located over urban and industrial areas, indicating a significant anthropogenic glyoxal source. Kilometer-level TROPOMI can identify factory emission sources that are undetectable by Ozone Monitoring Instrument due to the higher resolution of TROPOMI.
•Realizing the global kilometer-level glyoxal observation for the first time.•Indicating of volatile organic compounds emission sources and secondary organic aerosol formation.•Utilizing glyoxal results to realize identification of factory sources.</description><subject>Absorption spectroscopy</subject><subject>Aerosol formation</subject><subject>Aerosols</subject><subject>Anthropogenic factors</subject><subject>Biomass burning</subject><subject>Correlation coefficient</subject><subject>Correlation coefficients</subject><subject>Developing countries</subject><subject>Emission analysis</subject><subject>Emission source</subject><subject>Environmental policy</subject><subject>Error correction</subject><subject>Error reduction</subject><subject>Glyoxal</subject><subject>Industrial areas</subject><subject>LDCs</subject><subject>Monitoring</subject><subject>Monitoring instruments</subject><subject>Organic compounds</subject><subject>Ozone</subject><subject>Ozone monitoring</subject><subject>Particulate matter</subject><subject>Pollution control</subject><subject>Pollution monitoring</subject><subject>Precursors</subject><subject>Rainforests</subject><subject>Retrieval</subject><subject>Satellite observation</subject><subject>Satellites</subject><subject>Secondary aerosols</subject><subject>Secondary organic aerosol</subject><subject>Sensitivity analysis</subject><subject>Spatial distribution</subject><subject>Spectroscopy</subject><subject>TROPOspheric monitoring instrument</subject><subject>VOCs</subject><subject>Volatile organic compound</subject><subject>Volatile organic compounds</subject><subject>Wavelength</subject><issn>0034-4257</issn><issn>1879-0704</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9UU1vEzEQtRBIhMIP4GaJ8wbPfngd9YQqCqiVeilnyxmPgyPvOtjOqv07_FKcpuqxp5nxvPfmWY-xzyDWIEB-3a9TpnUrWlgDtGpo37AVqHHTiFH0b9lKiK5v-nYY37MPOe-FgEGNsGL_bnyIExVKTaCFAt-Fx_hgAk9Ukqeldos3PJtCIfhC3MXEzVz-pHiIO5o98iUGU3wgHtPOnB4wTod4nC2nyefs48xzPCakyrM8E8bZmvT4AjeUYo7hpDxVoQr3lubincen8SN750zI9Om5XrDf19_vr342t3c_fl19u22wk6o0BmXntqqHLTqLRrpxO9he9ARiUIjohKs7YTppNtaOYFq1gQFBjKBQKtddsC9n3UOKf4-Ui95X23M9qVvZbUSnpFQVBWcUVtc5kdOH5Kf6Hw1Cn6LQe12j0Kco9DmKyrk8c6jaXzwlndHTjGR9IizaRv8K-z9JGJdr</recordid><startdate>20220301</startdate><enddate>20220301</enddate><creator>Chen, Yujia</creator><creator>Su, Wenjing</creator><creator>Xing, Chengzhi</creator><creator>Yin, Hao</creator><creator>Lin, Hua</creator><creator>Zhang, Chengxin</creator><creator>Liu, Haoran</creator><creator>Hu, Qihou</creator><creator>Liu, Cheng</creator><general>Elsevier Inc</general><general>Elsevier BV</general><scope>6I.</scope><scope>AAFTH</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SN</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7TG</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>JG9</scope><scope>JQ2</scope><scope>KL.</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>P64</scope></search><sort><creationdate>20220301</creationdate><title>Kilometer-level glyoxal retrieval via satellite for anthropogenic volatile organic compound emission source and secondary organic aerosol formation identification</title><author>Chen, Yujia ; Su, Wenjing ; Xing, Chengzhi ; Yin, Hao ; Lin, Hua ; Zhang, Chengxin ; Liu, Haoran ; Hu, Qihou ; Liu, Cheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c368t-ac63fb841bcfdca6f7b5d404e1058cccf0f41b0a36a9dd71a28915c10718c68f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Absorption spectroscopy</topic><topic>Aerosol formation</topic><topic>Aerosols</topic><topic>Anthropogenic factors</topic><topic>Biomass burning</topic><topic>Correlation coefficient</topic><topic>Correlation coefficients</topic><topic>Developing countries</topic><topic>Emission analysis</topic><topic>Emission source</topic><topic>Environmental policy</topic><topic>Error correction</topic><topic>Error reduction</topic><topic>Glyoxal</topic><topic>Industrial areas</topic><topic>LDCs</topic><topic>Monitoring</topic><topic>Monitoring instruments</topic><topic>Organic compounds</topic><topic>Ozone</topic><topic>Ozone monitoring</topic><topic>Particulate matter</topic><topic>Pollution control</topic><topic>Pollution monitoring</topic><topic>Precursors</topic><topic>Rainforests</topic><topic>Retrieval</topic><topic>Satellite observation</topic><topic>Satellites</topic><topic>Secondary aerosols</topic><topic>Secondary organic aerosol</topic><topic>Sensitivity analysis</topic><topic>Spatial distribution</topic><topic>Spectroscopy</topic><topic>TROPOspheric monitoring instrument</topic><topic>VOCs</topic><topic>Volatile organic compound</topic><topic>Volatile organic compounds</topic><topic>Wavelength</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chen, Yujia</creatorcontrib><creatorcontrib>Su, Wenjing</creatorcontrib><creatorcontrib>Xing, Chengzhi</creatorcontrib><creatorcontrib>Yin, Hao</creatorcontrib><creatorcontrib>Lin, Hua</creatorcontrib><creatorcontrib>Zhang, Chengxin</creatorcontrib><creatorcontrib>Liu, Haoran</creatorcontrib><creatorcontrib>Hu, Qihou</creatorcontrib><creatorcontrib>Liu, Cheng</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Ecology Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Remote sensing of environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chen, Yujia</au><au>Su, Wenjing</au><au>Xing, Chengzhi</au><au>Yin, Hao</au><au>Lin, Hua</au><au>Zhang, Chengxin</au><au>Liu, Haoran</au><au>Hu, Qihou</au><au>Liu, Cheng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Kilometer-level glyoxal retrieval via satellite for anthropogenic volatile organic compound emission source and secondary organic aerosol formation identification</atitle><jtitle>Remote sensing of environment</jtitle><date>2022-03-01</date><risdate>2022</risdate><volume>270</volume><spage>112852</spage><pages>112852-</pages><artnum>112852</artnum><issn>0034-4257</issn><eissn>1879-0704</eissn><abstract>Volatile organic compounds (VOCs) are key precursors of PM2.5 and ozone. Glyoxal can be utilized as an indicator of VOC emission sources and secondary organic aerosol (SOA) formation. In this study, the high-resolution satellite observations of glyoxal were utilized to identify anthropogenic VOC sources, which can be utilized to formulate pollution control policies. Glyoxal vertical column densities were firstly retrieved by the TROPOspheric monitoring instrument (TROPOMI) onboard the Copernicus Sentinel-5 Precursor satellite. Glyoxal retrieval is sensitive to wavelength; therefore, four different areas were studied, and the optimum wavelength range of 435–462 nm was determined and applied in the wavelength sensitivity test. Glyoxal slant column density was corrected by utilizing the daily stripe-correction in the Sahara region which reduces the error by approximately 2.2 × 1014 molec/cm2. Glyoxal vertical column densities computed using TROPOMI were validated via multi-axis differential optical absorption spectroscopy measurements obtained at three sites; the daily normalized mean bias and standard deviation for the three sites were -27.5 % ± 6.5%, 1.8% ± 7.5%, and −6.6 % ± 17.3%, respectively. Monthly averaged data shows good correlation with Pearson correlation coefficients (R) of 0.90, 0.78 and 0.92, at three MAX-DOSA sites, respectively. The global spatial distribution of glyoxal showed large areas of high-concentration glyoxal distributed over tropical rainforests near the equator, which were attributed to biomass combustion and biogenic processes. Numerous urban hotspots were identified to be mainly concentrated in developing countries, especially those in East Asia and the Middle East. The highest glyoxal vertical column densities were observed over eastern China, and the high-glyoxal concentration areas were mainly located over urban and industrial areas, indicating a significant anthropogenic glyoxal source. Kilometer-level TROPOMI can identify factory emission sources that are undetectable by Ozone Monitoring Instrument due to the higher resolution of TROPOMI.
•Realizing the global kilometer-level glyoxal observation for the first time.•Indicating of volatile organic compounds emission sources and secondary organic aerosol formation.•Utilizing glyoxal results to realize identification of factory sources.</abstract><cop>New York</cop><pub>Elsevier Inc</pub><doi>10.1016/j.rse.2021.112852</doi><oa>free_for_read</oa></addata></record> |
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subjects | Absorption spectroscopy Aerosol formation Aerosols Anthropogenic factors Biomass burning Correlation coefficient Correlation coefficients Developing countries Emission analysis Emission source Environmental policy Error correction Error reduction Glyoxal Industrial areas LDCs Monitoring Monitoring instruments Organic compounds Ozone Ozone monitoring Particulate matter Pollution control Pollution monitoring Precursors Rainforests Retrieval Satellite observation Satellites Secondary aerosols Secondary organic aerosol Sensitivity analysis Spatial distribution Spectroscopy TROPOspheric monitoring instrument VOCs Volatile organic compound Volatile organic compounds Wavelength |
title | Kilometer-level glyoxal retrieval via satellite for anthropogenic volatile organic compound emission source and secondary organic aerosol formation identification |
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