Department of Environmental Science and Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, 826004, India.
School of Environmental Sciences, Jawaharlal Nehru University, New Delhi, 110017, India.
Environ Sci Pollut Res Int. 2024 Apr;31(17):25406-25423. doi: 10.1007/s11356-024-32754-8. Epub 2024 Mar 12.
This study assessed the air quality status in different functional zones of Dhanbad-a coal-mining and industrial hub, based on the measurement of aromatic and halogenated volatile organic compounds (VOCs) using gas chromatography. The study encompasses source apportionment of VOCs and their chemical reactivity in terms of OH radical loss rate (L), ozone-forming potential (OFP), and their secondary organic aerosol forming potential (SOAp). Furthermore, prioritization of VOCs based on a fuzzy-analytical hierarchical process (F-AHP) has also been done. The results found xylene species to have the highest concentration in all three seasons across traffic-intersection and industrial zones and toluene at the institutional zone. The study identified four sources using positive matrix factorization (PMF) model, viz., mixed traffic exhaust (35%), coal combustion sources (30%), industrial (26%), and solvent usage (9%). L and SOAp were ~ 16 times more at the industrial and traffic-intersection zone than the institutional zone. The aromatic species contributed 97% to the OFP, and many species exhibited less contribution to the mixing ratio of VOCs but displayed a high contribution to L, OFP, and SOAp, suggesting the need to prefer reactivity-based strategies in addition to concentration-based strategies in the future for their regulation. The F-AHP-based priority component analysis identified 16 species out of 29 in the priority watch list (nine in tier-1, four in tier-2, and three in tier-3). The paucity of data and lack of ambient air quality standards on VOCs (except benzene) make it difficult to determine which aspect should be dealt with first and which species require more attention. Therefore, the F-AHP method used in this study could help identify the influencing parameters to be considered while devising efficient VOC management policies.
本研究使用气相色谱法测量芳香族和卤代挥发性有机化合物(VOC),评估了丹巴德(一个采煤和工业中心)不同功能区的空气质量状况。该研究包括 VOC 的来源分配及其化学活性,以 OH 自由基损失率(L)、臭氧生成潜力(OFP)和二次有机气溶胶形成潜力(SOAp)表示。此外,还基于模糊层次分析(F-AHP)对 VOC 进行了优先级排序。结果发现,在三个季节中,所有三个交通交叉口和工业区的二甲苯浓度最高,而机构区的甲苯浓度最高。使用正定矩阵因子分解(PMF)模型确定了四个来源,即混合交通尾气(35%)、煤炭燃烧源(30%)、工业源(26%)和溶剂使用源(9%)。工业区和交通交叉口的 L 和 SOAp 比机构区高 16 倍。芳香族物质对 OFP 的贡献率为 97%,许多物质对 VOC 混合比的贡献较小,但对 L、OFP 和 SOAp 的贡献较高,这表明未来除了基于浓度的策略外,还需要优先考虑基于反应性的策略来对其进行调控。基于 F-AHP 的优先组件分析从 29 种物质中确定了 16 种物质列入优先观察名单(1 级 9 种,2 级 4 种,3 级 3 种)。由于缺乏数据和关于 VOC(除苯外)的环境空气质量标准,难以确定首先应处理哪个方面,以及哪些物质需要更多关注。因此,本研究中使用的 F-AHP 方法可以帮助确定在制定有效的 VOC 管理政策时需要考虑的影响参数。