Literature DB >> 27679456

Polycyclic aromatic hydrocarbons (PAHs) around tea processing industries using high-sulfur coals.

Jyotilima Saikia1,2, Puja Khare3, Prasenjit Saikia1, Binoy K Saikia4,5.   

Abstract

In the present investigation, the concentrations of polycyclic aromatic hydrocarbons (PAHs) associated with PM2.5, PM10 and dust particles emitted from two tea processing industrial units were studied that uses high-sulfur coal as their energy source. A total of 16 PAHs (viz. naphthalene (Nap), acenaphthene (Ace), acenaphthylene (Acen), phenanthrene (Phe), fluorene (Flu), anthracene (Ant), fluoranthene (Fluo), pyrene (Pyr), benz[a]anthracene (BaA), chrysene (Chry), benzo[b]fluoranthene (BbF), benzo[k]fluoranthene (BkF), benzo[a]pyrene (BaP), dibenz[a,h]anthracene (DBahA), indeno[1,2,3-cd]pyrene (IP) and benzo[ghi]perylene (BghiP) were measured. The total PAH concentration was found to be 94.7 ng/m3 (∑4 PAHs) in the PM10 particle, 32.5 (∑12 PAHs) in PM2.5 and 1.08 ng/m3 (∑6 PAHs) in the dust sample from site A. In site B, the sum of the PAHs in the PM2.5, PM10 and dust samples are found to be 154.4 ng/m3 (∑7 PAHs), 165 ng/m3 (∑3 PAHs) and 1.27 ng/m3 (∑6 PAHs), respectively. Hybrid Single Particle Lagrangian Integrated Trajectory model study revealed the contribution of local or long-range transport of aerosol sources. Along with the coal combustion activities in the study sites, other sources such as biomass burning and vehicular emission may contribute to the PAHs in the aerosol samples.

Entities:  

Keywords:  Coal-based industries; Emission from tea industry; High-sulfur coal; Particulate matter (PM); Polycyclic aromatic hydrocarbon (PAH); Risk assessment

Mesh:

Substances:

Year:  2016        PMID: 27679456     DOI: 10.1007/s10653-016-9879-0

Source DB:  PubMed          Journal:  Environ Geochem Health        ISSN: 0269-4042            Impact factor:   4.609


  38 in total

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  3 in total

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2.  Air quality and PM10-associated poly-aromatic hydrocarbons around the railway traffic area: statistical and air mass trajectory approaches.

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3.  Metagenomic Analysis of Microbial Alliances for Efficient Degradation of PHE: Microbial Community Structure and Reconstruction of Metabolic Network.

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  3 in total

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