Size-distribution of airborne polycyclic aromatic hydrocarbons and other organic source markers in the surroundings of a cement plant powered with alternative fuels

2016 ◽  
Vol 550 ◽  
pp. 1057-1064 ◽  
Author(s):  
Francisco Sánchez-Soberón ◽  
Barend L. van Drooge ◽  
Joaquim Rovira ◽  
Joan O. Grimalt ◽  
Martí Nadal ◽  
...  
2004 ◽  
Vol 38 (9) ◽  
pp. 2557-2567 ◽  
Author(s):  
B. Zielinska ◽  
J. Sagebiel ◽  
W. P. Arnott ◽  
C. F. Rogers ◽  
K. E. Kelly ◽  
...  

1992 ◽  
Vol 150 ◽  
pp. 137-138
Author(s):  
W. A. Schutte ◽  
A. G. G. M. Tielens ◽  
L. J. Allamandola

We modelled the IR emission of interstellar PAHs. Substantial differences between the IR properties of interstellar and laboratory PAHs are found, possibly resulting from ionization. The various IR features being dominated by distinctly different size PAHs, their observed relative intensities are sensitive indicators of the size distribution. A number of applications of our model related to future ISO and SIRTF IR data are pointed out.


Proceedings ◽  
2018 ◽  
Vol 2 (23) ◽  
pp. 1505
Author(s):  
Samantha Arteaga-Del Angel ◽  
Brenda L. Valle-Hernandez ◽  
Violeta Mugica-Alvarez

Among the main pollutants emitted into the atmosphere by diesel combustion are the particles. Most of the studies suggest that the greatest impact on health by the particles is caused by some of the organic compounds such as the polycyclic aromatic hydrocarbons, which are highly toxic and carcinogenic compounds. Some of the strategies that are being implemented to mitigate these harmful particles emissions are the use of alternative fuels, such as biodiesel. In this research, the characterization of six fuels (diesel and five biodiesel, obtained from different raw materials) was carried out. Diesel:Biodiesel blends were prepared at 5, 10 and 20% of biodiesel on proportion to the diesel (B5, B10 and B20). Additionally, B100 was analyzed for some biodiesels. The particles emitted by the combustion of the different fuels were sampled and their concentration was determined. The organic compounds were extracted from the particles by ultrasound-assisted extraction and subsequently the polycyclic aromatic hydrocarbons (PAHs) were determined by gas chromatography coupled to mass spectrometry (GC-MS). In this study, it was observed that the use of biodiesel decreases the emission of particle concentration, but it is not significant. In the case of the concentrations of carcinogenic compounds (PAHs), the B20 biodiesel blends emissions had a statistically significant reduction compared to diesel emissions.


2005 ◽  
Vol 52 (3) ◽  
pp. 111-118 ◽  
Author(s):  
R. Moilleron ◽  
J. Perez ◽  
S. Garnaud

For three years (2001–2003), sediment samples were extracted from about 100 silt traps (STs) spread out all over the combined sewer network of Paris. These STs, whose volume varied from 21 to 325 m3, were cleaned out as soon as their filling capacities were reached. All these sediment samples were analysed for physicochemical parameters (pH, organic matter (OM) content, grain size distribution), total hydrocarbons (THs), 16 polycyclic aromatic hydrocarbons (PAHs) selected from the priority list of the US-EPA, and heavy metals (Al, Ag, As, Cd, Cu, Cr, Sn, Fe, Mn, Hg, Ni, Pb, Zn). For each silt trap, six sediment samples were extracted before the clean out procedure: three samples were extracted from the sediment surface (5–10 cm depth) and three other samples were extracted from a deeper sediment layer (approximately at 1 m depth). The location of these sampling points allowed us to take into account the possible spatial fluctuation of pollutant loads in each ST. The first results showed that there were some important inter-site variations of pollutant contents. These variations have to be taken into account by the sewer manager for the fate of the ST sediments. Therefore, we decided to assess the grain size distribution of some pollutants. OM, heavy metals and PAHs have been investigated on the five grain size fractions (>20 mm, 8–20 mm, 0.5–8 mm, 50–500 μm, <50 μm) for 9 STs, which have been selected on their heavy metal content basis. This work aims at understanding the distribution of the pollutant contents and at improving the knowledge of the ST sediment pollution.


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