scholarly journals Assessment of the Accuracy of Analyzers for Automatic Determination of PM10 and PM2.5 Particulate Matter in Ambient Air

2020 ◽  
Vol 71 (1) ◽  
pp. 83-87
Author(s):  
Elena Bucur ◽  
Radu Motisan ◽  
Andrei Vasile ◽  
Gheorghita Tanase ◽  
Luoana Florentina Pascu ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Pearson Correlation ◽  
Reference Method ◽  
Ambient Air ◽  
Data Series ◽  
Test Results ◽  
Particulate Matter Concentration ◽  
Pm2.5 And Pm10 ◽  
Matter Concentration

The paper presents the test results regarding the evaluation of the accuracy of the PM2.5 and PM10 particulate matter concentration measurement performed with the uRADMonitor A3 fixed air quality monitoring station produced by SC MAGNASCI SRL. The procedure involves the calculation of the accuracy elements: trueness and precision, based on the experimental data obtained by measuring the concentration of particulate matter using the tested analysers in parallel with the reference method, SR EN 12341: 2014, and analysis of data series by Pearson correlation and linear regression.

scholarly journals Use of low-cost PM-sensors to determine the infiltration of outdoor particles into indoor environments

2019 ◽  
Vol 111 ◽  
pp. 02026
Author(s):  
Jan Drzymalla ◽  
Andreas Henne
Keyword(s):  
Particulate Matter ◽  
Low Cost ◽  
Indoor Environments ◽  
Research Project ◽  
Private Households ◽  
Particulate Matter Concentration ◽  
High Concentrations ◽  
Pm2.5 And Pm10 ◽  
The Relationship ◽  
Matter Concentration

Whether due to traffic, industry or private households – particulate matter enters our air every day and pollutes the air we breathe. When the term air pollution is used, hardly anyone ever thinks of the air inside their own home. However, many urban residences are located in the immediate vicinity of busy roads with high concentrations of particulate matter. Consequently, the outside concentration of fine dust has considerable influence on the indoor concentration. Given the fact that many people spend more than 90 % of their lifetime indoors, it is important to measure and understand particle transport from the outside to the inside in order to assess the effects of exposure to outdoor particles on human health. A two-room apartment near a main road in Leverkusen, North Rhine-Westphalia, Germany was used in the investigation in this research project. Particulate matter concentrations for PM2.5 and PM10 were measured simultaneously inside and outside of the building. Results are size-specific deposition rates, indoor/outdoor ratios and infiltration factors, which provide information on the relationship between internal and external concentrations and the associated health consequences. The particulate matter concentration was measured using low-cost PM-sensors, which were developed and calibrated within the scope of this research project.

scholarly journals Small (<2.5 micron) particulate matter concentration of ambient air and early death in Hungary

2012 ◽  
Vol 153 (8) ◽  
pp. 285-288 ◽  
Author(s):  
György Losonczy
Keyword(s):  
Lung Cancer ◽  
Particulate Matter ◽  
Early Death ◽  
Ambient Air ◽  
Years Of Life Lost ◽  
Cardiopulmonary Disease ◽  
Epidemiologic Evidence ◽  
Particulate Matter Concentration ◽  
Matter Concentration ◽  
Particulate Matter Pollution

The small (<2.5 micron) particulate matter concentration of ambient air is constantly measured and estimated over Europe, based on the recommendations of the WHO and the Council of Europe. Concentration of small size particulate matter has been found to be very high in Central and Eastern Europe, including central and eastern regions of Hungary. Epidemiologic evidence indicates strong direct correlation between small size particulate matter pollution and incidences of cardiopulmonary disease and lung cancer. As compared to Slovakia or the Czech Republic and after correction for population size, Hungary has the highest number of years of life lost due to small size particulate matter pollution related cardiopulmonary disease and lung cancer. Orv. Hetil., 2012, 153, 285–288.

scholarly journals Is Exposure to PM2.5 and PM10, a Factor of Surge of 2nd Wave of COVID-19- A Case Study of Delhi, India?

2021 ◽  
Author(s):  
Avnish Shukla ◽  
Anirudh Mishra ◽  
Bhaven Nirmalbhai Tandel Tandel
Keyword(s):  
Particulate Matter ◽  
Death Rate ◽  
Positive Association ◽  
Ground Level ◽  
Average Concentration ◽  
Particulate Matter Concentration ◽  
Ground Level Concentration ◽  
Pm2.5 And Pm10 ◽  
Second Wave ◽  
Matter Concentration

Abstract Exposure to air pollutants cause severe health issues. Restriction onmajor activities induced by government improves the air quality during the lockdown due to Covid-19 pandemic. Investigation of correlation of high level of Severe Acute Respiratory Syndrome Coronavirus2 and its mortality rate with ground level particulate matter concentration was carried out in this study during the second wave of covid-19 in the megacity Delhi, India. Daily average concentration of major two fractions of particulate matter PM2.5 and PM10 were analyzed for the period of 22 March 2021 to 15 May 2021 that grouped into two categories before lockdown and during lockdown. Results revealed that overall reduction of 1.6% in PM2.5 concentration and 15% in PM10 concentration was observed on imposing the lockdown and significant reduction in Particulate Matter concentration was observed for most of the locations for the lockdown period as compared to before lockdown period. Furthermore daily new Covid-19 cases and its death rate was found negatively associated (very weak correlation) with the ground level concentration of PM2.5 and PM10 i.e. before lockdown period while positive association (moderately correlated) was noticed among the daily new Covid-19 cases, its death rate, ground level concentration of PM2.5 and PM10 in time period of lockdown. This Study revealed that the high degree of atmospheric contamination in Northern India can be deemed an external co-factor in the area's high mortality and high positivity rate during the second wave Covid19 pandemic.

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