Spatiotemporal variability of benzene in a petrochemical industrial complex: insights from repeated mobile SIFT-MS monitoring and comparison with Me-DOAS.
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| Title: | Spatiotemporal variability of benzene in a petrochemical industrial complex: insights from repeated mobile SIFT-MS monitoring and comparison with Me-DOAS. |
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| Authors: | Jung, Joon-sig1 (AUTHOR) jsjung080@korea.kr, Choi, Su-jin2 (AUTHOR) tnwls0263@korea.kr, Lee, Dong-keun1 (AUTHOR) ldk0225@korea.kr, Kim, Seon-woo2 (AUTHOR) seonu92@korea.kr, Jung, Dae-kwan2 (AUTHOR) hiandgoo@korea.kr, Park, Jung-min1 (AUTHOR) anspark011@korea.kr, Lee, So-young1 (AUTHOR) lsyoung09@korea.kr, Ko, Min-jeong1 (AUTHOR) komj95@korea.kr, Jang, Jong-hee1 (AUTHOR) jhjang1013@korea.kr |
| Source: | Environmental Monitoring & Assessment. Jun2026, Vol. 198 Issue 6, p1-20. 20p. |
| Subject Terms: | *Spatiotemporal processes, *Air quality monitoring, *Emissions (Air pollution), *Mass spectrometry, *Seasonal temperature variations, *Petroleum chemicals industry, *Air quality management |
| Abstract: | This study investigated the spatiotemporal characteristics of benzene concentrations in a petrochemical industrial complex using integrated mobile monitoring techniques. Real-time measurements were conducted using vehicle-mounted Selected Ion Flow Tube–Mass Spectrometry (SIFT-MS), with Mobile-extraction Differential Optical Absorption Spectroscopy (Me-DOAS) applied as a complementary approach to assess spatial consistency and seasonal patterns. Benzene concentrations showed clear seasonal and diurnal variability, with higher levels and more frequent high-concentration events in winter and consistently elevated concentrations during nighttime (22:00–03:00) under stable atmospheric conditions. Spatial analysis revealed that exceedance events were concentrated within specific industrial blocks associated with benzene-handling and emission-intensive processes, indicating persistent localized hotspots. Although absolute concentration levels differed between SIFT-MS and Me-DOAS, both techniques reproduced consistent temporal patterns. Agreement was weak under background conditions but strengthened during high-concentration events, suggesting convergence under source-dominated conditions. Me-DOAS effectively represents spatially averaged concentrations, whereas SIFT-MS captures short-term variability and localized high-concentration events. Overall, the results demonstrate that high-resolution mobile monitoring can resolve short-term benzene peaks and identify spatially persistent hotspots, providing practical information for targeted air quality management. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: enr DbLabel: Energy & Power Source An: 194723344 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Spatiotemporal variability of benzene in a petrochemical industrial complex: insights from repeated mobile SIFT-MS monitoring and comparison with Me-DOAS. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Jung%2C+Joon-sig%22">Jung, Joon-sig</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> jsjung080@korea.kr</i><br /><searchLink fieldCode="AR" term="%22Choi%2C+Su-jin%22">Choi, Su-jin</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> tnwls0263@korea.kr</i><br /><searchLink fieldCode="AR" term="%22Lee%2C+Dong-keun%22">Lee, Dong-keun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> ldk0225@korea.kr</i><br /><searchLink fieldCode="AR" term="%22Kim%2C+Seon-woo%22">Kim, Seon-woo</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> seonu92@korea.kr</i><br /><searchLink fieldCode="AR" term="%22Jung%2C+Dae-kwan%22">Jung, Dae-kwan</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> hiandgoo@korea.kr</i><br /><searchLink fieldCode="AR" term="%22Park%2C+Jung-min%22">Park, Jung-min</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> anspark011@korea.kr</i><br /><searchLink fieldCode="AR" term="%22Lee%2C+So-young%22">Lee, So-young</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> lsyoung09@korea.kr</i><br /><searchLink fieldCode="AR" term="%22Ko%2C+Min-jeong%22">Ko, Min-jeong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> komj95@korea.kr</i><br /><searchLink fieldCode="AR" term="%22Jang%2C+Jong-hee%22">Jang, Jong-hee</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> jhjang1013@korea.kr</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Environmental+Monitoring+%26+Assessment%22">Environmental Monitoring & Assessment</searchLink>. Jun2026, Vol. 198 Issue 6, p1-20. 20p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Spatiotemporal+processes%22">Spatiotemporal processes</searchLink><br />*<searchLink fieldCode="DE" term="%22Air+quality+monitoring%22">Air quality monitoring</searchLink><br />*<searchLink fieldCode="DE" term="%22Emissions+%28Air+pollution%29%22">Emissions (Air pollution)</searchLink><br />*<searchLink fieldCode="DE" term="%22Mass+spectrometry%22">Mass spectrometry</searchLink><br />*<searchLink fieldCode="DE" term="%22Seasonal+temperature+variations%22">Seasonal temperature variations</searchLink><br />*<searchLink fieldCode="DE" term="%22Petroleum+chemicals+industry%22">Petroleum chemicals industry</searchLink><br />*<searchLink fieldCode="DE" term="%22Air+quality+management%22">Air quality management</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This study investigated the spatiotemporal characteristics of benzene concentrations in a petrochemical industrial complex using integrated mobile monitoring techniques. Real-time measurements were conducted using vehicle-mounted Selected Ion Flow Tube–Mass Spectrometry (SIFT-MS), with Mobile-extraction Differential Optical Absorption Spectroscopy (Me-DOAS) applied as a complementary approach to assess spatial consistency and seasonal patterns. Benzene concentrations showed clear seasonal and diurnal variability, with higher levels and more frequent high-concentration events in winter and consistently elevated concentrations during nighttime (22:00–03:00) under stable atmospheric conditions. Spatial analysis revealed that exceedance events were concentrated within specific industrial blocks associated with benzene-handling and emission-intensive processes, indicating persistent localized hotspots. Although absolute concentration levels differed between SIFT-MS and Me-DOAS, both techniques reproduced consistent temporal patterns. Agreement was weak under background conditions but strengthened during high-concentration events, suggesting convergence under source-dominated conditions. Me-DOAS effectively represents spatially averaged concentrations, whereas SIFT-MS captures short-term variability and localized high-concentration events. Overall, the results demonstrate that high-resolution mobile monitoring can resolve short-term benzene peaks and identify spatially persistent hotspots, providing practical information for targeted air quality management. [ABSTRACT FROM AUTHOR] |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10661-026-15488-7 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 1 Subjects: – SubjectFull: Spatiotemporal processes Type: general – SubjectFull: Air quality monitoring Type: general – SubjectFull: Emissions (Air pollution) Type: general – SubjectFull: Mass spectrometry Type: general – SubjectFull: Seasonal temperature variations Type: general – SubjectFull: Petroleum chemicals industry Type: general – SubjectFull: Air quality management Type: general Titles: – TitleFull: Spatiotemporal variability of benzene in a petrochemical industrial complex: insights from repeated mobile SIFT-MS monitoring and comparison with Me-DOAS. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Jung, Joon-sig – PersonEntity: Name: NameFull: Choi, Su-jin – PersonEntity: Name: NameFull: Lee, Dong-keun – PersonEntity: Name: NameFull: Kim, Seon-woo – PersonEntity: Name: NameFull: Jung, Dae-kwan – PersonEntity: Name: NameFull: Park, Jung-min – PersonEntity: Name: NameFull: Lee, So-young – PersonEntity: Name: NameFull: Ko, Min-jeong – PersonEntity: Name: NameFull: Jang, Jong-hee IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 01676369 Numbering: – Type: volume Value: 198 – Type: issue Value: 6 Titles: – TitleFull: Environmental Monitoring & Assessment Type: main |
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