scholarly journals Study of Surface Morphology, Elemental Composition and Origin of Atmospheric Aerosols (PM2.5 and PM10) over Agra, India

2014 ◽  
Vol 14 (6) ◽  
pp. 1685-1700 ◽  
Author(s):  
Atar Singh Pipal ◽  
Rohi Jan ◽  
P.G. Satsangi ◽  
Suresh Tiwari ◽  
Ajay Taneja
1980 ◽  
Vol 11 (3) ◽  
pp. 246
Author(s):  
P. Metternich ◽  
R. Latz ◽  
J. Schader ◽  
H.W. Georgh ◽  
K.O. Groeneveld

Author(s):  
N.N. Malushin ◽  
◽  
D.A. Romanov ◽  
A.P. Kovalev ◽  
L.P. Bashchenko ◽  
...  

Microhardness distributions, surface morphology, and elemental composition of a deposited layer of a heat-resistant alloy of the type P2M8U steel formed by plasma surfacing in a protective-alloying nitrogen medium are studied. It was established that the surfacing technology and surfacing material allows to obtain a high-quality deposited alloy without cracks, pores, slag inclusions and defects of macro- and microstructure. It has been established that the deposited material is pearlite grains at the boundaries and grain junctions of which are carbonitrides based on iron, tungsten, chromium, molybdenum, aluminum (Fe6 W6 NC and AlN).


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Feisen Wang ◽  
Sifei Ai ◽  
Qian Wang ◽  
Yinfen Cheng ◽  
Haiqi Huang ◽  
...  

Purpose The purpose of this paper is to promote the corrosion resistance of the 5083-111H aluminum alloy by laser cleaning. Design/methodology/approach Laser with 2 ns pulse width was adopted in this project and the corrosion resistance of cleaned samples was tested by copper-accelerated salt spray (CASS). The surface morphology, elemental composition and distribution were then characterized by SEM. Moreover, surface morphology, elemental composition and distribution were also tested. Findings Results suggested a higher corrosion resistance was successfully obtained by laser cleaning. Compared with samples cleaned by 2000 grit sandpaper, mechanical cleaning resulted in a 53% larger height difference between the peak and valley. The content of the oxygen is 8.85% on the surface cleaned mechanically and the distribution is dependent on the distribution of aluminum whereas that of the laser cleaning sample is 24.41% and the distribution existed even in the Al-poor area. Originality/value In this project, the 2-ns laser cleaning was proved to have the capability to remove the oxide layer on the aluminum alloy surface while retaining an excellent corrosion resistance and smooth surface. Meanwhile, a thorough elemental distribution and smaller grain size lead to a smaller difference in elemental concentration. This retards the diffusion of oxygen into the substrate and hence increases the corrosion resistance of the surface.


2010 ◽  
Author(s):  
M. I. Micheletti ◽  
M. Graf ◽  
M. Debray ◽  
L. Murruni ◽  
G. Ávila Cadena ◽  
...  

Atmosphere ◽  
2020 ◽  
Vol 11 (5) ◽  
pp. 519
Author(s):  
Trinh Dinh Tran ◽  
Phuong Minh Nguyen ◽  
Dung Trung Nghiem ◽  
Tuyen Huu Le ◽  
Minh Binh Tu ◽  
...  

Indoor and outdoor ultrafine, accumulation mode, and coarse fractions collected at two preschools (S1 and S2) in Hanoi capital, Vietnam were characterized in terms of mass-size distribution and elemental composition to identify major emission sources. The sampling campaigns were performed simultaneously indoors and outdoors over four consecutive weeks at each school. Indoor average concentrations of CO2 and CO at both schools were below the limit values recommended by American Society of Heating, Refrigerating and Air-Conditioning Engineers (1000 ppm for CO2) and World Health Organization (7 mg/m3 for CO). Indoor concentrations of PM2.5 and PM10 at S1 and S2 were strongly influenced by the presence of children and their activities indoors. The indoor average concentrations of PM2.5 and PM10 were 49.4 µg/m3 and 59.7 µg/m3 at S1, while those values at S2 were 7.9 and 10.8 µg/m3, respectively. Mass-size distribution of indoor and outdoor particles presented similar patterns, in which ultrafine particles accounted for around 15–20% wt/wt while fine particles (PM2.5) made up almost 80% wt/wt of PM10. PM2.5–10 did not display regular shapes while smaller factions tended to aggregate to form clusters with fine structures. Oxygen (O) was the most abundant element in all fractions, followed by carbon (C) for indoor and outdoor particles. O accounted for 36.2% (PM0.5–1) to 42.4% wt/wt (PM0.1) of indoor particles, while those figures for C were in the range of 14.5% (for PM0.1) to 18.1% (for PM1–2.5). Apart from O and C, mass proportion of other major and minor elements (Al, Ca, Cr, Fe , K, Mg, Si, Ti) could make up to 50%, whereas trace elements (As, Bi, Cd, Co, Cr, Cu, La, Mn, Mo, Ni, Pb, Rb, Sb, Se, Sn, Sr, and Zn) accounted for less than 0.5% of indoor and outdoor airborne particles. There were no significant indoor emission sources of trace and minor elements. Traffic significantly contributed to major and trace elements at S1 and S2.


2006 ◽  
Vol 40 (17) ◽  
pp. 3195-3206 ◽  
Author(s):  
Panagiotis Gemenetzis ◽  
Panagiotis Moussas ◽  
Anastasia Arditsoglou ◽  
Constantini Samara

2020 ◽  
Author(s):  
Maciej Kryza ◽  
Małgorzata Werner ◽  
Justyna Dudek

<p>High concentrations of atmospheric aerosols with aerodynamic diameter below 2.5 mm (PM2.5) are frequently observed in several Central European countries during the heating season (October – March). Poland belongs to a group of EU countries with the highest concentrations of PM2.5, according to the European Environmental Agency. Large exposure to atmospheric pollutants leads to significant number of premature deaths attributable to adverse air quality in Poland.</p><p>Coal combustion for residential heating is one of the main sources of PM2.5 in Poland. The quality of this fuel is often unknown, and this increases the uncertainty of national emission inventories and makes the modelling of PM2.5 concentrations challenging. Second, daily temporal emission profile (i.e. hours of the day when emission is released to the atmosphere) in residential heating sector is also rather uncertain. In this work, we developed a daily temporal emission profile using available measurements of PM2.5 and PM10 concentrations from the 2017-2018 heating season. The profile was compared with the existing profile proposed within the INERIS project. New profile has longer peak of afternoon and night time emission, if compared to INERIS, and the morning peak is significantly lower. It means that more emission is released to the atmosphere during unfavorable meteorological conditions such as calm winds and temperature inversions, which are frequently observed during the afternoon and night.</p><p>We have run two simulations using the EMEP4PL model with new and old (INERIS) emission profile. The simulations covered three heating seasons of 2015-2016, 2017-2018 and 2018-2019. Application of the new emission profile results in increased model – measurements correlation and reduced model bias.</p>


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