Mass concentration and elemental composition of indoor PM2.5 and PM10 in University rooms in Thessaloniki, northern Greece

2006 ◽  
Vol 40 (17) ◽  
pp. 3195-3206 ◽  
Author(s):  
Panagiotis Gemenetzis ◽  
Panagiotis Moussas ◽  
Anastasia Arditsoglou ◽  
Constantini Samara
2021 ◽  
Author(s):  
Christopher D. Wallis ◽  
Mason D. Leandro ◽  
Patrick Y. Chuang ◽  
Anthony S. Wexler

Abstract. Measuring emissions from stacks is challenging due to accessibility and safety concerns, and requires techniques to address a broad range of conditions and measurement challenges. One way to facilitate such measurements is to build an instrument package and then use a crane to hold the package over the emissions source. Here we describe such an instrument package that is used to characterize both wet droplet and dried aerosol emissions from cooling tower spray drift. In this application, the instrument package characterizes the velocity, size distribution and concentration of the wet droplet emissions and the mass concentration and elemental composition of the dried PM2.5 and PM10 emissions. Subsequent papers will present and analyze the wet and dried emissions from individual towers.


2010 ◽  
Vol 44-47 ◽  
pp. 3026-3030 ◽  
Author(s):  
Tsung Jung Cheng ◽  
Chih Yi Chang ◽  
Pei Ni Tsou ◽  
Ming Ju Wu ◽  
Yun Shu Feng

The study was conducted to evaluate the determinants of mass concentration of indoor particulate matter in a nursing home located in Taichung, Taiwan. PM2.5, PM10, temperature, relative humidity, CO, CO2, O3 and colony counts were collected in 2 bedrooms and their adjacent outdoor environments from November 2009 to January 2010. The results of multiple regression analysis suggested that the explanatory variables which included outdoor particle concentrations, indoor occupancy, different types of activities and ventilation accounted for 40.9% and 63.4% of the variance in the indoor PM2.5 concentration in Room A which is close to neighboring buildings and Room B which is close to main traffic, respectively. The explanatory variables accounted for 49.1% and 85.5% of the variance in the indoor PM10 concentration in Room A and B, respectively. Moreover, the result of correlation analysis showed that both indoor PM2.5 and PM10 concentrations were correlated to temperature, relative humidity and CO.


1997 ◽  
Vol 31 (8) ◽  
pp. 1185-1193 ◽  
Author(s):  
Nicole A.H. Janssen ◽  
Dimphe F.M. Van Mansom ◽  
Katinka Van Der Jagt ◽  
Hendrik Harssema ◽  
Gerard Hoek

1999 ◽  
Vol 56 (7) ◽  
pp. 482-487 ◽  
Author(s):  
N. A. Janssen ◽  
G. Hoek ◽  
B. Brunekreef ◽  
H. Harssema

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.


2014 ◽  
Vol 14 (6) ◽  
pp. 1685-1700 ◽  
Author(s):  
Atar Singh Pipal ◽  
Rohi Jan ◽  
P.G. Satsangi ◽  
Suresh Tiwari ◽  
Ajay Taneja

2020 ◽  
Author(s):  
Manjunatha A S ◽  
Ganesh K E

Abstract Measurement and analysis of Particulate Matter (PM1) of aerodynamic diameter less than 1µm (PM1) has been carried out using indigenously built air sampler APM 577 from IIT-K for the period July 2018 - July 2019. Bengaluru being one of the megacities of India requires constant follow up of air quality. Following locations of Bengaluru city have been selected for the study: Basavanagudi (BAS), Domlur (DOM), Hosur road (HOS) and DC Halli (DCH). The mass concentrations of collected PM1 samples have been observed to vary from 20.16 to 68.64 µg m-3 during the study period. The highest mass concentration of 68.64 µg m-3 was observed for the location BAS and the lowest mass concentration of 20.16 µg m-3 was observed for the location DOM. The seasonal average mass concentration of PM1 around Bengaluru for winter, summer, monsoon & post monsoon season during the entire study period is observed to be 47.60, 40.24, 30.85 and 38.76 µg m-3 respectively. The average 24 h mass concentrations of PM1 in winter season that is in December month at BAS location is found to be higher than National Ambient Air Quality Standard limit of 60 µg m-3 for PM2.5 however in January and February months mass concentration is found to be less than the standard limit. The Scanning Electron Microscope-Energy Dispersive Analysis X-ray techniques were used to understand the morphology and elemental composition of PM1. Scanning electron microscope images confirms the presence of particulates both from anthropogenic (primary) and natural (secondary) activities. Also, some of the collected samples showed the presence of microorganisms and biological particles such as Bacillus. Elemental composition analysis showed the presence of non-metals such as Carbon, Oxygen, Nitrogen, Sulphur and traces of metals such as Sodium, Aluminium, Calcium and Potassium. A detailed study along with the possible conclusion is the subject matter of this paper.


2019 ◽  
Vol 31 (12) ◽  
pp. 2707-2718
Author(s):  
R.K. Sahu ◽  
S. Pervez ◽  
J.L. Matawle ◽  
S. Bano ◽  
Y.F. Pervez

From the last few decades, the studies related to source apportionment of airborne particulate matter (PM) have gain more attention among global scientific community including India. The outcomes from these studies are utilized for better and effective policy design to control pollution level. However, these source apportionment results have been shown much divergence for India due to differences in sampling technique, analytical methods, selection of source maker chemical species, and application of mathematical and statistical methods, etc. So, this review presents the trends and advancement of ambient PM2.5 and PM10 particles source apportionment studies for special perspective of India for better understanding of these above highlighted issues. The ambient PM2.5 and PM10 source investigations related earlier research articles and reports from various regulatory agencies which published between the years of 2000 to 2015 for India were selected and categorized into three plateau regions for review. Few studies were carried out with source apportionment centered objectives for ambient PM2.5 and PM10 mass concentration and maximum reported studies were confined to address aerosol mass concentration and its chemical characterization to evaluate spatiotemporal variation. Higher number of data were reported for the Indo-Gangetic plain (IGP) region during the year of 2005 to 2007 with the annual average range from 56.2 to 136 μg m-3 and 134 to 306 μg m-3 for PM2.5 and PM10, respectively. The annual average for ambient PM2.5 and PM10 levels has been raised about 50 % and 14%, respectively during the first fifteen years of 21st century in Indian environment. The carbonaceous matter (TC) has been found as the major component of PM mass in Indian environment. The carbonaceous matter was reported as major abundant species which was about > 50 % of PM2.5 mass concentration with OC/EC ratio > 1. The distribution of different PM2.5 chemical components were reported to be 7 ± 15 %, 1 ± 3 %, 46 ± 49 %, 34 ± 24 % and 12 ± 9%, for crustal elements (Al, Ca, Fe, Na, Mg, Si), trace elements (Cr, Zn, Ni, Cu, Cd and Pb), ionic (Na+, NH4+, Cl−, NO3− and SO4 2−) and carbonaceous matter fractions, respectively. The following six major contributing sources for ambient PM2.5 pollution in India have been found during the assessment period i.e. road traffic emissions as the major contributor, followed by marine aerosols/sea salt, crustal, industrial emissions, secondary aerosols and biomass burning emissions.


2021 ◽  
Vol 4 ◽  
pp. 134-148
Author(s):  
D.P. Gubanova ◽  
◽  
A.A. Vinogradova ◽  
A.I. Skorokhod ◽  
M.A. Iordanskii ◽  
...  

The paper analyzes the composition of surface aerosol close to the local intense anthropogenic source of pollution associated with the active phase of demolition of multistorey buildings in the center of Moscow. An abnormal increase in the daytime PM10 aerosol particle concentration to 5 MPC for daily values and to 14 MPC for maximum single values was reinforced by unfavorable meteorological conditions in the middle of July 2021. Preliminary estimation of the power of the dust aerosol source and its effect on the aerosol air pollution in nearby areas of the city is performed. The extreme and background values of the aerosol mass concentration, its elemental composition and particle size distribution during this period are determined. It is necessary to take into account such point pollutant sources in estimating and forecasting environmental conditions in a densely populated city. Keywords: surface aerosol, local anthropogenic source, Moscow, aerosol mass concentration, elemental composition, meteorological conditions


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