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利用移动萃取差分光学吸收光谱法(Me-DOAS)对石化工业区苯暴露特征进行时空评估

Spatiotemporal Assessment of Benzene Exposure Characteristics in a Petrochemical Industrial Area Using Mobile-Extraction Differential Optical Absorption Spectroscopy (Me-DOAS).

作者信息

Lee Dong Keun, Park Jung-Min, Jang Jong-Hee, Jung Joon-Sig, Kim Min-Kyeong, Heo Jaeseok, Park Duckshin

机构信息

Nakdong River Basin Environment Office, Changwon-si 51439, Republic of Korea.

R&D Strategy Department, Korea Railroad Research Institute (KRRI), Cheoldo Bangmulgwanro, Uiwang-si 16105, Republic of Korea.

出版信息

Toxics. 2025 Jul 31;13(8):655. doi: 10.3390/toxics13080655.

Abstract

Petrochemical complexes are spatially expansive and host diverse emission sources, making accurate monitoring of volatile organic compounds (VOCs) challenging using conventional two-dimensional methods. This study introduces Mobile-extraction Differential Optical Absorption Spectroscopy (Me-DOAS), a real-time, three-dimensional remote sensing technique for assessing benzene emissions in the Ulsan petrochemical complex, South Korea. A vehicle-mounted Me-DOAS system conducted monthly measurements throughout 2024, capturing data during four daily intervals to evaluate diurnal variation. Routes included perimeter loops and grid-based transects within core industrial zones. The highest benzene concentrations were observed in February (mean: 64.28 ± 194.69 µg/m; geometric mean: 5.13 µg/m), with exceedances of the national annual standard (5 µg/m) in several months. Notably, nighttime and early morning sessions showed elevated levels, suggesting contributions from nocturnal operations and meteorological conditions such as atmospheric inversion. A total of 179 exceedances (≥30 µg/m) were identified, predominantly in zones with benzene-handling activities. Correlation analysis revealed a significant relationship between high concentrations and specific emission sources. These results demonstrate the utility of Me-DOAS in capturing spatiotemporal emission dynamics and support its application in exposure risk assessment and industrial emission control. The findings provide a robust framework for targeted management strategies and call for integration with source apportionment and dispersion modeling tools.

摘要

石化综合体占地面积大,排放源种类繁多,使用传统的二维方法精确监测挥发性有机化合物(VOCs)具有挑战性。本研究介绍了移动提取差分光学吸收光谱法(Me-DOAS),这是一种用于评估韩国蔚山石化综合体苯排放的实时三维遥感技术。一个车载Me-DOAS系统在2024年全年每月进行测量,在四个每日时间段采集数据以评估日变化。路线包括核心工业区内的周边环线和基于网格的横断面。2月份观测到的苯浓度最高(平均值:64.28±194.69µg/m;几何平均值:5.13µg/m),有几个月超过了国家年度标准(5µg/m)。值得注意的是,夜间和清晨时段的浓度较高,这表明夜间作业和诸如大气逆温等气象条件起到了作用。共识别出179次超标(≥30µg/m),主要出现在有苯处理活动的区域。相关性分析显示高浓度与特定排放源之间存在显著关系。这些结果证明了Me-DOAS在捕捉时空排放动态方面的实用性,并支持其在暴露风险评估和工业排放控制中的应用。研究结果为制定有针对性的管理策略提供了有力框架,并呼吁与源分配和扩散建模工具相结合。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbb3/12390430/389ab02ee81c/toxics-13-00655-g001.jpg

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