Distribution patterns, infiltration and health risk assessment of PM2.5-bound PAHs in indoor and outdoor air in cold zone

Mohammed, Mohammed O.A.; Song, Weiwei; Ma, Yue; Liu, Liyan; Ma, Wan–Li; Li, Wenlong; Li, Yifan; Wang, Fengyan; Qi, Mei-yun; Lv, Na; Wang, Ding-zhen; Khan, Afed Ullah

doi:10.1016/j.chemosphere.2016.04.023

Cited by 59 publications

(19 citation statements)

References 116 publications

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“…Furthermore, PAHs have obtained extensive attention because of their persistency and carcinogenicity nature . Thus numerous studies applied PAHs as model pollutants to assess the health risks (Bhargava et al, 2004;Zhou and Zhao, 2012;Kavouras et al, 2015;Lee et al, 2016;Mohammed et al, 2016). Due to the importance of indoor exposure, PAHs in indoor air (including gas phase and particle) and floor dust are commonly investigated to elucidate potential health risks (Essumang et al, 2015;Tiwari et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

The Effects of Height on the Accumulation of n-Alkanes and Polycyclic Aromatic Hydrocarbons (PAHs) in Air-Conditioning Filter Dust from High-Rise Apartments

Wang

Qian

Liu

et al. 2017

Aerosol Air Qual. Res.

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To assess the effect of floor levels of high-rise apartment buildings on the accumulation of contaminants in indoor environment, residential air-conditioner filter dust (ACFD) samples from the 1 st , 10 th , 20 th and 30 th floors of a high-rise apartment building were collected for the determination of n-alkanes and polycyclic aromatic hydrocarbons (PAHs). The results show that both n-alkanes and PAHs in the residential ACFD were ubiquitous but varied greatly in concentrations. The total concentrations of 27 n-alkanes (Σ 27 AK) and 16 PAHs (Σ 16 PAH) ranged from 1.35 to 9290 µg g -1 and 278-34200 ng g -1 , respectively. Source apportionment revealed that n-alkanes were from mixed sources combining fossil fuel combustion, natural emission and solid biomass burning, but PAHs were mainly from indoor sources. Furthermore, the diagnostic ratio of paired low weight molecular PAH species may change during transportation and accumulation. Significantly higher concentrations of Σ 27 AK and Σ 16 PAH were observed in the samples from low floor levels (the 1 st and 10 th floors) compared to those from high floor levels (the 20 th and 30 th floors). The results of classification and regression tree analysis clearly suggested floor level is the most important factor influencing the accumulation of Σ 27 AK and Σ 16 PAH in the ACFD. Our findings imply that people living on lower floor levels have greater exposure risks to PAHs associated with indoor dust.

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Section: Introductionmentioning

confidence: 99%

The Effects of Height on the Accumulation of n-Alkanes and Polycyclic Aromatic Hydrocarbons (PAHs) in Air-Conditioning Filter Dust from High-Rise Apartments

Wang

Qian

Liu

et al. 2017

Aerosol Air Qual. Res.

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“…High volume air samplers with a single‐ or multi‐staged cascade have frequently been used for PM 2.5 (Alves et al, ; Lung & Liu, ; Zhang et al, ). Previous reports have been carried out with medium volume samples (100 L/min) and personal sampler impactors (5 L/min) (Mohammed et al, ; Wang, J.Z., et al, ). The use of other multi‐staged cascades was also reported (Kawanaka, Matsumoto, Sakamoto, Wang, & Yun, ; Tang et al, ).…”

Section: Analytical Methods Of Polycyclic Aromatic Hydrocarbons and Nmentioning

confidence: 99%

Recent analytical methods for atmospheric polycyclic aromatic hydrocarbons and their derivatives

Hayakawa

Tang

Toriba

2016

Biomedical Chromatography

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Polycyclic aromatic hydrocarbons (PAHs) and nitropolycyclic aromatic hydrocarbons (NPAHs) are ubiquitous environmental pollutants. Moreover, some oxidative metabolites of these pollutants, such as hydroxylated and epoxide PAHs, cause endocrine disruption or produce reactive oxygen species. These compounds have become a large concern from the viewpoint of particulate matter (PM ) pollution. This report deals with recent studies concerning analytical methods for PAHs, NPAHs and related compounds in atmospheric and biological samples.

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“…PMF is widely used for source apportionment because it is one of the most important receptor models (Al-Dabbous and Kumar 2015; Hajigholizadeh 2016; Li et al 2015;Mohammed et al 2016). PMF is a multivariate receptor model that decomposes a matrix X of n by m dimensions, in which n is the number of samples and m is chemical species, into two matrices: factor contributions (G) and factor profiles (F), and the residual (E) (see Eq.…”

Section: Positive Matrix Factorization (Pmf)mentioning

confidence: 99%

Application of positive matrix factorization to identify potential sources of water quality deterioration of Huaihe River, China

et al. 2019

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Identification of nonpoint source (NPS) pollution is essential for effective water management. In this study we used a combined approach of hierarchal cluster analysis (HCA) and positive matrix factorization (PMF) to identify NPS pollution for Huaihe River basin in China. NH 3-N, COD, DO and pH were regularly monitored weekly over 2 years (2011-2012) from 27 monitoring stations subjected to high anthropogenic and natural changes. As identified by multiple correspondence analyses, the monitoring stations #3, #9 and #21 are located away from the rest of sites. HCA classified all the stations into 4 groups. PMF identified four factors on each group and each season. They were associated with the major causes of Huaihe River water quality deterioration resulted by discharges inputs from urban, agricultural and industrial land uses. Seasonal NPS pollution variation was found, and it is possibly linked with natural processes, for instance hydrological regime. This research work demonstrates the usefulness of PMF model for the identification of NPS pollution in surface waters. Furthermore, our study also shows that urban, agricultural and industrial land uses were the main factors impairing surface water quality, and limiting NPS pollution would be critical for enhancing surface water quality in the study area.

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Distribution patterns, infiltration and health risk assessment of PM2.5-bound PAHs in indoor and outdoor air in cold zone

Cited by 59 publications

References 116 publications

The Effects of Height on the Accumulation of n-Alkanes and Polycyclic Aromatic Hydrocarbons (PAHs) in Air-Conditioning Filter Dust from High-Rise Apartments

The Effects of Height on the Accumulation of n-Alkanes and Polycyclic Aromatic Hydrocarbons (PAHs) in Air-Conditioning Filter Dust from High-Rise Apartments

Recent analytical methods for atmospheric polycyclic aromatic hydrocarbons and their derivatives

Application of positive matrix factorization to identify potential sources of water quality deterioration of Huaihe River, China

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