Airborne estimation of SO2 emissions rates from a coal-fired power plant using two top-down methods: A mass balance model and Gaussian footprint approach
In this study, two top-down methods—mass balance and Gaussian footprint—were used to determine SO2 emissions rates via three airborne sampling studies over Korea's largest coal power plant in October 2019 and 2020. During the first two flights in October 2019, mass balance approaches significan...
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| Veröffentlicht in: | The Science of the total environment 2023-01, Vol.855, p.158826-158826, Article 158826 |
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| container_title | The Science of the total environment |
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| creator | Kim, Jeonghwan Seo, Beom-keun Lee, Taehyoung Kim, Jongho Kim, Saewung Bae, Gwi-Nam Lee, Gangwoong |
| description | In this study, two top-down methods—mass balance and Gaussian footprint—were used to determine SO2 emissions rates via three airborne sampling studies over Korea's largest coal power plant in October 2019 and 2020. During the first two flights in October 2019, mass balance approaches significantly underestimated the SO2 emissions rates by 75 % and 28 %, respectively, as obtained from the real-time stack monitoring system. Notably, this large discrepancy accounted for the insufficient number of transects altitudes and high levels of background SO2 along the upwind side. Alternatively, the estimated SO2 emissions rates of the third flight (October 2020) displayed a difference of |
| doi_str_mv | 10.1016/j.scitotenv.2022.158826 |
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•SO2 emissions rates from a point source were assessed by two top-down methods.•Both methods agreed well when sufficient spatial sampling resolutions were made.•Gaussian footprint method showed distinct advantage to trace individual point sources.•Top-down SO2 emission estimation accuracy was enhanced by using both methods.</description><identifier>ISSN: 0048-9697</identifier><identifier>EISSN: 1879-1026</identifier><identifier>DOI: 10.1016/j.scitotenv.2022.158826</identifier><language>eng</language><publisher>Elsevier B.V</publisher><subject>Emissions ; Gaussian footprint ; Mass balance ; Point sources ; SO2</subject><ispartof>The Science of the total environment, 2023-01, Vol.855, p.158826-158826, Article 158826</ispartof><rights>2022 Elsevier B.V.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c348t-f9e7343a3abf265423219010efef1054adc9a74b063377bace255ca269df965f3</citedby><cites>FETCH-LOGICAL-c348t-f9e7343a3abf265423219010efef1054adc9a74b063377bace255ca269df965f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.scitotenv.2022.158826$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,778,782,3539,27907,27908,45978</link.rule.ids></links><search><creatorcontrib>Kim, Jeonghwan</creatorcontrib><creatorcontrib>Seo, Beom-keun</creatorcontrib><creatorcontrib>Lee, Taehyoung</creatorcontrib><creatorcontrib>Kim, Jongho</creatorcontrib><creatorcontrib>Kim, Saewung</creatorcontrib><creatorcontrib>Bae, Gwi-Nam</creatorcontrib><creatorcontrib>Lee, Gangwoong</creatorcontrib><title>Airborne estimation of SO2 emissions rates from a coal-fired power plant using two top-down methods: A mass balance model and Gaussian footprint approach</title><title>The Science of the total environment</title><description>In this study, two top-down methods—mass balance and Gaussian footprint—were used to determine SO2 emissions rates via three airborne sampling studies over Korea's largest coal power plant in October 2019 and 2020. During the first two flights in October 2019, mass balance approaches significantly underestimated the SO2 emissions rates by 75 % and 28 %, respectively, as obtained from the real-time stack monitoring system. Notably, this large discrepancy accounted for the insufficient number of transects altitudes and high levels of background SO2 along the upwind side. Alternatively, the estimated SO2 emissions rates of the third flight (October 2020) displayed a difference of <10 % from rea-time monitoring data (630 vs. 690 kg·hr−1), owing to the enhanced vertical resolution with increased transects and lower background SO2 levels. In contrast to the mass balance method, Gaussian footprints offered significantly improved accuracy (relative error: 41 %, 32 %, and 2 % for Flights 1, 2, and 3, respectively). This relatively good performance was attributed to prior emissions knowledge via the Clean Air Policy Support System (CAPSS) emissions inventory and its unique ability to accurately estimate stack-level SO2 emissions rates. Theoretically, the Gaussian footprint was less prone to sparse transects and upwind background levels. However, it can be substantially influenced by atmospheric stability and consequently by effective stack heights and dispersion parameters; basically, all factors with minimal-to-no influence on the mass balance approach. Conversely, the mass balance method was the only plausible approach to estimate unidentified source emissions rates when well-defined prior emission information was unknown. Here, the footprint approach supplemented the mass balance method when the emission inventories were known, and employing both strategies approaches greatly enhanced the integrity of top-down emissions inventories from the power plant sources, thus, supporting their potential for ensuring operational compliance with SO2 emissions regulation.
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•SO2 emissions rates from a point source were assessed by two top-down methods.•Both methods agreed well when sufficient spatial sampling resolutions were made.•Gaussian footprint method showed distinct advantage to trace individual point sources.•Top-down SO2 emission estimation accuracy was enhanced by using both methods.</description><subject>Emissions</subject><subject>Gaussian footprint</subject><subject>Mass balance</subject><subject>Point sources</subject><subject>SO2</subject><issn>0048-9697</issn><issn>1879-1026</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNqFUcuOFDEMjBBIDAvfgI9cekjSj3S4jVawIK20B-AcuROHzai70ySZHfEp_C0ZDeKKL5alcrlcxdhbwfeCi-H9cZ9tKLHQ-rSXXMq96MdRDs_YToxKN4LL4Tnbcd6NjR60esle5XzktdQoduz3IaQpppWAcgkLlhBXiB6-PkigJeRc5wwJC2XwKS6AYCPOjQ-JHGzxTAm2GdcCpxzWH1DOEUrcGhfPKyxUHqPLH-AAC-YME1akJViioxlwdXCHp3oCV_Axli2FyoPbliLax9fshcc505u__YZ9__Tx2-3n5v7h7svt4b6xbTeWxmtSbddii5OXQ9_JVgrNBSdPXvC-Q2c1qm7iQ9sqNaEl2fcW5aCd10Pv2xv27spbz_48VRdMfdvSXKVSPGUjleiV5n2rK1RdoTbFnBN5UyUvmH4Zwc0lDHM0_8IwlzDMNYy6ebhuUv3kKVC64Kh64aqPthgXw385_gBVvZpj</recordid><startdate>20230110</startdate><enddate>20230110</enddate><creator>Kim, Jeonghwan</creator><creator>Seo, Beom-keun</creator><creator>Lee, Taehyoung</creator><creator>Kim, Jongho</creator><creator>Kim, Saewung</creator><creator>Bae, Gwi-Nam</creator><creator>Lee, Gangwoong</creator><general>Elsevier B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20230110</creationdate><title>Airborne estimation of SO2 emissions rates from a coal-fired power plant using two top-down methods: A mass balance model and Gaussian footprint approach</title><author>Kim, Jeonghwan ; Seo, Beom-keun ; Lee, Taehyoung ; Kim, Jongho ; Kim, Saewung ; Bae, Gwi-Nam ; Lee, Gangwoong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c348t-f9e7343a3abf265423219010efef1054adc9a74b063377bace255ca269df965f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Emissions</topic><topic>Gaussian footprint</topic><topic>Mass balance</topic><topic>Point sources</topic><topic>SO2</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kim, Jeonghwan</creatorcontrib><creatorcontrib>Seo, Beom-keun</creatorcontrib><creatorcontrib>Lee, Taehyoung</creatorcontrib><creatorcontrib>Kim, Jongho</creatorcontrib><creatorcontrib>Kim, Saewung</creatorcontrib><creatorcontrib>Bae, Gwi-Nam</creatorcontrib><creatorcontrib>Lee, Gangwoong</creatorcontrib><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>The Science of the total environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kim, Jeonghwan</au><au>Seo, Beom-keun</au><au>Lee, Taehyoung</au><au>Kim, Jongho</au><au>Kim, Saewung</au><au>Bae, Gwi-Nam</au><au>Lee, Gangwoong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Airborne estimation of SO2 emissions rates from a coal-fired power plant using two top-down methods: A mass balance model and Gaussian footprint approach</atitle><jtitle>The Science of the total environment</jtitle><date>2023-01-10</date><risdate>2023</risdate><volume>855</volume><spage>158826</spage><epage>158826</epage><pages>158826-158826</pages><artnum>158826</artnum><issn>0048-9697</issn><eissn>1879-1026</eissn><abstract>In this study, two top-down methods—mass balance and Gaussian footprint—were used to determine SO2 emissions rates via three airborne sampling studies over Korea's largest coal power plant in October 2019 and 2020. During the first two flights in October 2019, mass balance approaches significantly underestimated the SO2 emissions rates by 75 % and 28 %, respectively, as obtained from the real-time stack monitoring system. Notably, this large discrepancy accounted for the insufficient number of transects altitudes and high levels of background SO2 along the upwind side. Alternatively, the estimated SO2 emissions rates of the third flight (October 2020) displayed a difference of <10 % from rea-time monitoring data (630 vs. 690 kg·hr−1), owing to the enhanced vertical resolution with increased transects and lower background SO2 levels. In contrast to the mass balance method, Gaussian footprints offered significantly improved accuracy (relative error: 41 %, 32 %, and 2 % for Flights 1, 2, and 3, respectively). This relatively good performance was attributed to prior emissions knowledge via the Clean Air Policy Support System (CAPSS) emissions inventory and its unique ability to accurately estimate stack-level SO2 emissions rates. Theoretically, the Gaussian footprint was less prone to sparse transects and upwind background levels. However, it can be substantially influenced by atmospheric stability and consequently by effective stack heights and dispersion parameters; basically, all factors with minimal-to-no influence on the mass balance approach. Conversely, the mass balance method was the only plausible approach to estimate unidentified source emissions rates when well-defined prior emission information was unknown. Here, the footprint approach supplemented the mass balance method when the emission inventories were known, and employing both strategies approaches greatly enhanced the integrity of top-down emissions inventories from the power plant sources, thus, supporting their potential for ensuring operational compliance with SO2 emissions regulation.
[Display omitted]
•SO2 emissions rates from a point source were assessed by two top-down methods.•Both methods agreed well when sufficient spatial sampling resolutions were made.•Gaussian footprint method showed distinct advantage to trace individual point sources.•Top-down SO2 emission estimation accuracy was enhanced by using both methods.</abstract><pub>Elsevier B.V</pub><doi>10.1016/j.scitotenv.2022.158826</doi><tpages>1</tpages></addata></record> |
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| subjects | Emissions Gaussian footprint Mass balance Point sources SO2 |
| title | Airborne estimation of SO2 emissions rates from a coal-fired power plant using two top-down methods: A mass balance model and Gaussian footprint approach |
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