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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.
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
Description
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]
ISSN:01676369
DOI:10.1007/s10661-026-15488-7