PARTICULATE MATTER SAMPLER ERRORS DUE TO THE INTERACTION OF PARTICLE SIZE AND SAMPLER PERFORMANCE CHARACTERISTICS: PM10 AND PM2.5 AMBIENT AIR SAMPLERS

2013 ◽  
Author(s):  
M. D. Buser ◽  
C. B. Parnell ◽  
Jr. ◽  
B. W. Shaw ◽  
and R. E. Lacey
Keyword(s):  
Particle Size ◽  
Particulate Matter ◽  
Ambient Air ◽  
Performance Characteristics ◽  
Pm10 And Pm2.5

INFLUENCE OF LIMESTONE PARTICULATE MATTER ON ENVIRONMENTAL FACTORS

2017 ◽  
Vol 31 (2) ◽  
pp. 57-61
Author(s):  
Gabriela Maria Filip ◽  
◽  
Valeria Mirela Brezoczki ◽  
Keyword(s):  
Particle Size ◽  
Particulate Matter ◽  
Environmental Factors ◽  
Beneficial Effect ◽  
Human Health ◽  
Ambient Air ◽  
Limestone Quarry ◽  
Respiratory Problems ◽  
Environment Scale ◽  
Mineral Substance

Limestone as a mineral substance does not pose a danger to the environment, contrary sometimes it has a beneficial effect, but limestone dusts as a particulate matter in ambient air can affect the environment and human health depending on particle size and granulometry and their concentration. Softer limestone tended to produce a cloud of dust that some feared might contribute to respiratory problems and may affected the environment to some extent depending on the PM quantity dispersed in ambient air. The main source of lime pollution is the limestone exploitation in the quarry and its subsequent processing by crushing and sorting. In this regard, the present paper presents several determinations regarding the limestone environment scale pollution from limestone processing after its quarry exploitation in the Bucium limestone quarry.

Inherent biases of PM10 and PM2.5 samplers based on the interaction of particle size and sampler performance characteristics

2001 ◽  
Author(s):  
Michael D. Buser ◽  
Calvin B. Parnell ◽  
Ronald E. Lacey ◽  
Bryan W. Shaw ◽  
Brent W. Auvermann
Keyword(s):  
Particle Size ◽  
Performance Characteristics ◽  
Pm10 And Pm2.5

Characterisation of PM10 and PM2.5 particulate matter in the ambient air of Milan (Italy)

2001 ◽  
Vol 35 (27) ◽  
pp. 4639-4650 ◽  
Author(s):  
Grazia M Marcazzan ◽  
Stefano Vaccaro ◽  
Gianluigi Valli ◽  
Roberta Vecchi
Keyword(s):  
Particulate Matter ◽  
Ambient Air ◽  
Pm10 And Pm2.5

Source apportionment studies on particulate matter (PM10 and PM2.5) in ambient air of urban Mangalore, India

2018 ◽  
Vol 217 ◽  
pp. 815-824 ◽  
Author(s):  
Gopinath Kalaiarasan ◽  
Raj Mohan Balakrishnan ◽  
Neethu Anitha Sethunath ◽  
Sivamoorthy Manoharan
Keyword(s):  
Particulate Matter ◽  
Source Apportionment ◽  
Ambient Air ◽  
Pm10 And Pm2.5

scholarly journals Assessment of Spatio-Temporal Variations of Particulate Matter and Gaseous Pollutants in The Port City, Paradip, East Coast of India

2021 ◽  
Author(s):  
Rashmi Ranjan Behera ◽  
Arakshita Majhi ◽  
Deepty Ranjan Satapathy
Keyword(s):  
Particulate Matter ◽  
Winter Season ◽  
Ambient Air ◽  
Temporal Variations ◽  
Gaseous Pollutants ◽  
Industrial Sites ◽  
Pm10 And Pm2.5 ◽  
Ambient Air Monitoring ◽  
Spatio Temporal ◽  
Monitoring Stations

This study aims to assess the spatial and temporal variations of aerosol pollutants within the nine selected ambient air monitoring stations, including residential, commercial, and industrial sites in Paradip city based on two seasons, i.e., winter and summer, from January 2019 to June 2019. The particulate matter (PM) like PM10 and PM2.5 and gaseous pollutants like sulphur dioxide (SO2), nitrogen dioxide (NO2), and ammonia (NH3) samples were collected at each monitoring stations. The 24-hour average concentrations of PM10 and PM2.5 showed the highest levels in the winter season and lowest in the summer season. The value exceeded the permissible limit of India-national ambient air quality standards (IND-NAAQS) at all the monitoring stations.

PREDICTION OF AEROSOL PARTICLE SIZE DISTRIBUTION FROM THE MEAS-URED VALUES OF PM2.5 AND PM10

2021 ◽  
Author(s):  
A. Gilfanov ◽  
◽  
S. Zaripov ◽  
L. Fatkhutdinova ◽  
Keyword(s):  
Particle Size ◽  
Distribution Function ◽  
Particulate Matter ◽  
Respiratory Tract ◽  
Size Distribution ◽  
Aerosol Particles ◽  
Ambient Air ◽  
Size Distribution Function ◽  
Particle Dosimetry ◽  
Pm2.5 And Pm10

Abstract. Introduction. Ambient air pollution with particulate matter from various sources sig-nificantly increases the risk of human health disorders. The concentrations of the total suspended particles (TSP), as well as the PM2.5 and PM10 fractions, are mainly monitored. In fact, the ac-tual size distribution of aerosol particles differs significantly from the stepwise distribution formed only by the concentrations of PM2.5 and PM10. Aim of the study: development of a method for reconstructing the size distribution function of aerosol particles from the actual concentrations of PM2.5 and PM10 under the assumption of a lognormal size distribution for calculation of doses deposited in different lung regions. Methods. Long-term concentrations of various fractions of particles in the ambient air were ob-tained from the database of social and hygienic monitoring created by the "Center for Hygiene and Epidemiology in the Republic of Tatarstan (Tatarstan)". A reconstructed theoretical particle size distribution function f0(dp) was derived using the numerical solution, and the corresponding software was developed. The MPPD (Multiple-Path Particle Dosimetry) software was used to calculate the particle deposited doses in different areas of the human respiratory tract. Results. The measured values of the PM2.5 and PM10 concentrations were used to derive the lognormal aerosol size distribution. Based on the calculation of the mass doses of settled particles in the human respiratory system using MPPD (Multiple-Path Particle Dosimetry) code, it is shown that the calculation based only on the values of PM2.5 and PM10 leads to an underestimation of the mass fractions of particles in the lower respiratory tract and alveolar zone, the values of which are determinant for the estimation of the risk of lung disease. Conclusions. The proposed method for reconstructing the size distribution function of the con-centration of aerosol particles is important for a quantitatively reliable assessment of the risks of exposure to ambient air aerosols, making it possible to move from assessment of external expo-sures to the calculation of deposited fractions. The use of deposited fractions as an exposure pa-rameter increases the accuracy of health risk assessments associated with particulate matter ex-posure. This approach can be used both in the study of ambient aerosols and for the air of the working area.

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