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多环芳烃在室内和室外环境中的 PM 结合行为,第一部分:排放源。

The PM-bound polycyclic aromatic hydrocarbon behavior in indoor and outdoor environments, part I: Emission sources.

机构信息

Singidunum University, 32 Danijelova Street, Belgrade, 11000, Serbia.

Singidunum University, 32 Danijelova Street, Belgrade, 11000, Serbia; Institute of Physics Belgrade, National Institute of the Republic of Serbia, University of Belgrade, 118 Pregrevica Street, 11000, Belgrade, Serbia.

出版信息

Environ Res. 2021 Feb;193:110520. doi: 10.1016/j.envres.2020.110520. Epub 2020 Nov 28.

Abstract

The previous research, aimed at exploring the relationships between the indoor and outdoor air quality, has evidenced that outdoor PM-bound polycyclic aromatic hydrocarbons (PAH) levels exhibit significant daily and seasonal variations which does not necessary corresponds with PAH indoor dynamics. For the purpose of this study, a three-month measurement campaign was performed simultaneously at indoor and outdoor sampling sites of a university building in an urban area of Belgrade (Serbia), during which the concentrations of O, CO, SO, NO, radon, PM and particle constituents including trace metals (As, Cd, Cr, Mn, Ni and Pb), ions (Cl, Na, Mg, Ca, K, NO, SO and NH) and 16 US EPA priority PAHs were determined. Additionally, the analysis included 31 meteorological parameters, out of which 24 were obtained from Global Data Assimilation System (GDAS1) database. The Unmix and PAH diagnostic ratios analysis resolved the source profiles for both indoor and outdoor environment, which are comparable in terms of their apportionments and pollutant shares, although it should be emphasized that ratio-implied solutions should be taken with caution since these values do not reflect emission sources only. The highest contributions to air quality were attributed to sources identified as coal combustion and related pyrogenic processes. Noticeable correlations were observed between 5- and 6-ring high molecular weight PAHs, but, except for CO, no significant linear dependencies with other investigated variables were identified. The PAH level predictions in the indoor and outdoor environment was performed by using machine learning XGBoost method.

摘要

先前的研究旨在探索室内和室外空气质量之间的关系,结果表明,室外 PM 结合多环芳烃(PAH)水平表现出显著的日变化和季节变化,这与 PAH 室内动态并不完全对应。为此,在贝尔格莱德(塞尔维亚)市区的一座大学建筑的室内和室外采样点同时进行了为期三个月的测量活动,在此期间,测量了 O、CO、SO、NO、氡、PM 和包括痕量金属(As、Cd、Cr、Mn、Ni 和 Pb)、离子(Cl、Na、Mg、Ca、K、NO、SO 和 NH)和 16 种美国环保署优先 PAHs 在内的颗粒成分的浓度。此外,还分析了 31 种气象参数,其中 24 种来自全球数据同化系统(GDAS1)数据库。Unmix 和 PAH 诊断比分析解析了室内和室外环境的源谱,就其分配和污染物份额而言,两者具有可比性,尽管应该强调的是,由于这些值不仅反映排放源,因此应谨慎采用比值暗示的解决方案。对空气质量的最大贡献归因于被确定为煤炭燃烧和相关的热解过程的来源。观察到 5-和 6-环高分子量 PAHs 之间存在明显的相关性,但除了 CO 之外,与其他研究变量之间没有发现显著的线性相关性。使用机器学习 XGBoost 方法对室内和室外环境中的 PAH 水平进行了预测。

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