Seasonal variation of palladium, elemental carbon and aerosol mass concentrations in airborne particulate matter

2004 ◽  
Vol 38 (13) ◽  
pp. 1979-1987 ◽  
Author(s):  
A Limbeck
2008 ◽  
Vol 42 (16) ◽  
pp. 3888-3891 ◽  
Author(s):  
Richard J.J. Gilham ◽  
Steve J. Spencer ◽  
David Butterfield ◽  
Martin P. Seah ◽  
Paul G. Quincey

2017 ◽  
Vol 579 ◽  
pp. 1152-1160 ◽  
Author(s):  
Longyi Shao ◽  
Ying Hu ◽  
Rongrong Shen ◽  
Klaus Schäfer ◽  
Jing Wang ◽  
...  

2010 ◽  
Vol 6 (3/4) ◽  
pp. 280
Author(s):  
K.V.S. Badarinath ◽  
Shailesh Kumar Kharol ◽  
V. Krishna Prasad ◽  
K. Madhavi Latha ◽  
Anu Rani Sharma ◽  
...  

2008 ◽  
Vol 18 (03n04) ◽  
pp. 187-197 ◽  
Author(s):  
F. ALDAPE ◽  
J. M. FLORES ◽  
A. A. MARTÍNEZ-PONTÓN

Fine airborne particulate matter (FAPM) samples were collected at an urban site (19° 17' 33.47" N, 99° 38' 50.55" W and 2670 m asl) in Toluca, the capital city of the State of Mexico. The samples, a total of 143, were collected every third day from March 2006 to April 2007 on Teflon® filters, with 24 h time resolution, using an U.S. EPA designation BGI PQ200 air sampler. The PIXE elemental analysis revealed the presence and the mass concentrations of 18 elements (S, Cl, K, Ca, Ti, V, Cr, Mn, Fe, Ni, Cu, Zn, As, Se, Br, Rb, Sr and Pb), thirteen of which (S, Cl, K, Ca, Ti, V, Cr, Mn, Fe, Ni, Cu, Zn, As) were consistently detected in most of the samples, and five of them (Se, Br, Rb, Sr and Pb) appeared occasionally. So, only those consistently detected were considered significant for the analysis. In order to verify whether the fine particulate concentrations complied with the FAPM Mexican Official Standard of 65 µg/m3, the filters were weighed before and after the sampling using a Cahn™ 33 microbalance with a 0.1 µg resolution, following the EPA procedures. The one year study was divided into three parts in accordance with the three climatic seasons identified in the city: dry-cold, dry-hot and rainy seasons. Results on the elemental and mass concentrations, as well as seasonal and time variations are presented. Correlations between concentrations of pairs of elements were also calculated, and the results obtained were found in good agreement with the enrichment factors determined for each season. Some pollution sources are suggested based on the analysis performed on the database and also from information obtained in a wide survey of the area. This paper presents the results of the first assessment of atmospheric pollution in this size of particle in this important city.


2014 ◽  
Vol 14 (18) ◽  
pp. 9977-9991 ◽  
Author(s):  
S. M. Gaita ◽  
J. Boman ◽  
M. J. Gatari ◽  
J. B. C. Pettersson ◽  
S. Janhäll

Abstract. Sources of airborne particulate matter and their seasonal variation in urban areas in Sub-Saharan Africa are poorly understood due to lack of long-term measurement data. In view of this, filter samples of airborne particulate matter (particle diameter ≤2.5 μm, PM2.5) were collected between May 2008 and April 2010 at two sites (urban background site and suburban site) within the Nairobi metropolitan area. A total of 780 samples were collected and analyzed for particulate mass, black carbon (BC) and 13 trace elements. The average PM2.5 concentration at the urban background site was 21±9.5 μg m−3, whereas the concentration at the suburban site was 13±7.3 μg m−3. The daily PM2.5 concentrations exceeded 25 μg m−3 (the World Health Organization 24 h guideline value) on 29% of the days at the urban background site and 7% of the days at the suburban site. At both sites, BC, Fe, S and Cl accounted for approximately 80% of all detected elements. Positive matrix factorization analysis identified five source factors that contribute to PM2.5 in Nairobi, namely traffic, mineral dust, industry, combustion and a mixed factor (composed of biomass burning, secondary aerosol and aged sea salt). Mineral dust and traffic factors were related to approximately 74% of PM2.5. The identified source factors exhibited seasonal variation, apart from the traffic factor, which was prominently consistent throughout the sampling period. Weekly variations were observed in all factors, with weekdays having higher concentrations than weekends. The results provide information that can be exploited for policy formulation and mitigation strategies to control air pollution in Sub-Saharan African cities.


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