scholarly journals Status of Ambient Particulate Matter and Black Carbon Concentrations in Rajshahi Air, Bangladesh

2015 ◽  
Vol 39 (2) ◽  
pp. 147-155
Author(s):  
Bilkis A Begum ◽  
K Shahin Ahmed ◽  
M Sarkar ◽  
JB Islam ◽  
AKM Lutfor Rahman
Keyword(s):  
Particulate Matter ◽  
Black Carbon ◽  
Local Effect ◽  
Motor Vehicles ◽  
Ambient Particulate Matter ◽  
Data Set ◽  
The Mean ◽  
Academy Of Sciences ◽  
Rajshahi City ◽  
Pm2.5 Concentration

Air borne particulate matter (PM) samples (both PM10 and PM2.5) were collected simultaneously from continuous air quality monitoring station (CAMS) at Rajshahi city from December 2012 to February 2013 using two Air Metrics MiniVol samplers. The samples were analyzed for mass and black carbon (BC) concentrations. The present results were compared with the data set during December 2001 to February 2002. It was found that the mean PM10, PM2.5 and BC concentrations have increased 3.3, 6.1 and 3.4 times, respectively than in December 2001 to February 2002 period. Similarly, the ratio of PM2.5/PM10 has increased twice than the previous cited time. In case of BC/PM2.5 ratio, value becomes more than half than the previous period. Hence, PM2.5 concentration has increased tremendously and due to the implementation of policies especially on motor vehicles, BC concentration does not increase linearly as PM2.5. The present data have showed that about 78% of PM10 is PM2.5 whereas in 2001-2002, PM2.5 was only 38% of PM10. The high PM2.5 at Rajshahi city might be due to both local effect and long-range transport.Journal of Bangladesh Academy of Sciences, Vol. 39, No. 2, 147-155, 2015

scholarly journals Effect of modes of transportation on commuters' exposure to fine particulate matter (PM2.5) and nitrogen dioxide (NO2) in Chennai, India

2019 ◽  
Vol 25 (6) ◽  
pp. 898-907 ◽  
Author(s):  
M. Gokul Raj ◽  
S. Karthikeyan
Keyword(s):  
Particulate Matter ◽  
Nitrogen Dioxide ◽  
Urban Community ◽  
Fine Particulate Matter ◽  
Exposure Concentration ◽  
Ambient Particulate Matter ◽  
Fine Particulate ◽  
The Mean ◽  
Maximum Exposure ◽  
Pm2.5 Concentration

Daily commuting increases level of contaminants inhaled by urban community and it is influenced by mode and time of commuting. In this study, the commuters’ exposure to ambient particulate matter (PM2.5) and nitrogen dioxide (NO2) was assessed during three modes of travel in six different road stretches of Chennai. The mean distance of road stretches was 25 km and the exposure to pollutants was assessed during peak hours and off-peak hours. The average travel duration was in the range of 39 to 91 min in motorbike, 83 to 140 min in car and 110 to 161 min in bus. Though there was variation on exposure to concentration in modes of transportation, the maximum exposure concentration of PM2.5 was observed as 709 μg/m<sup>3</sup> in bus and the minimum exposure concentration was 29 μg/m<sup>3</sup> in closed car. Similarly, the maximum exposure concentration of NO2 was observed to be 312 μg/m<sup>3</sup> in bus and the minimum exposure concentration was 21 μg/m<sup>3</sup> in car. The concentration of elements in PM2.5 was in the order of Si > Na > Ca > Al ≥ K > S ≥ Cd, with Si and Cd concentration as 60% and < 1% of the PM2.5 concentration.

scholarly journals Characterization and Apportionment of Sources of Indoor air Particulate Matter of aecd Campus, Dhaka

1970 ◽  
Vol 33 (1) ◽  
pp. 25-36 ◽  
Author(s):  
Bilkis A Begum ◽  
Swapan K Biswas
Keyword(s):  
Particulate Matter ◽  
Black Carbon ◽  
Atmospheric Aerosols ◽  
Fine Particles ◽  
Combustion Products ◽  
Data Sets ◽  
Ambient Particulate Matter ◽  
Air Particulate ◽  
Pm10 And Pm2.5 ◽  
Academy Of Sciences

Ambient particulate matter (PM10 and PM2.5) samples were collected in different laboratories and sitting rooms at the Atomic Energy Centre Dhaka campus in Dhaka on weekdays using AirMetrics Samplers from September to December 2006.  The samples were analyzed for elemental concentrations by ED XRF method.  Black carbon was analyzed by reflectance.  The data sets were analyzed by reconstructive mass (RCM) methods to check the mass closer and also to identify the possible sources of atmospheric aerosols in these closed areas.  It was observed that in these closed areas, 74 to 98% of the particulate mass belong to fine particles mass (PM2.5).  Mostly three and four sources have been identified in both PM10 and PM2.5 fractions respectively.  The sources are soil, combustion products (signature elements are BC and OC), Pb and Zn containing sources.  It was found that about 70 to 98% of total mass is black carbon together with organic carbon.   Keywords:  RCM, PM, AECD campus, XRF method DOI: 10.3329/jbas.v33i1.2947 Journal of Bangladesh Academy of Sciences, Vol. 33, No. 1, 25-36, 2009

scholarly journals The Combined Effects of Fine Particulate Matter and Temperature on Preterm Birth in Seoul, 2010–2016

2021 ◽  
Vol 18 (4) ◽  
pp. 1463
Author(s):  
Youngrin Kwag ◽  
Min-ho Kim ◽  
Shinhee Ye ◽  
Jongmin Oh ◽  
Gyeyoon Yim ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Preterm Birth ◽  
Pregnant Women ◽  
Low Temperatures ◽  
Fine Particulate Matter ◽  
Temperature Data ◽  
Fine Particulate ◽  
The Mean ◽  
Pm2.5 Exposure ◽  
Pm2.5 Concentration

Background: Preterm birth contributes to the morbidity and mortality of newborns and infants. Recent studies have shown that maternal exposure to particulate matter and extreme temperatures results in immune dysfunction, which can induce preterm birth. This study aimed to evaluate the association between fine particulate matter (PM2.5) exposure, temperature, and preterm birth in Seoul, Republic of Korea. Methods: We used 2010–2016 birth data from Seoul, obtained from the Korea National Statistical Office Microdata. PM2.5 concentration data from Seoul were generated through the Community Multiscale Air Quality (CMAQ) model. Seoul temperature data were collected from the Korea Meteorological Administration (KMA). The exposure period of PM2.5 and temperature were divided into the first (TR1), second (TR2), and third (TR3) trimesters of pregnancy. The mean PM2.5 concentration was used in units of ×10 µg/m3 and the mean temperature was divided into four categories based on quartiles. Logistic regression analyses were performed to evaluate the association between PM2.5 exposure and preterm birth, as well as the combined effects of PM2.5 exposure and temperature on preterm birth. Result: In a model that includes three trimesters of PM2.5 and temperature data as exposures, which assumes an interaction between PM2.5 and temperature in each trimester, the risk of preterm birth was positively associated with TR1 PM2.5 exposure among pregnant women exposed to relatively low mean temperatures (<3.4 °C) during TR1 (OR 1.134, 95% CI 1.061–1.213, p < 0.001). Conclusions: When we assumed the interaction between PM2.5 exposure and temperature exposure, PM2.5 exposure during TR1 increased the risk of preterm birth among pregnant women exposed to low temperatures during TR1. Pregnant women should be aware of the risk associated with combined exposure to particulate matter and low temperatures during TR1 to prevent preterm birth.

scholarly journals Atmospheric Aerosol Distribution in 2016–2017 over the Eastern European Region Based on the GEOS-Chem Model

Atmosphere ◽  
2020 ◽  
Vol 11 (7) ◽  
pp. 722
Author(s):  
Gennadi Milinevsky ◽  
Natallia Miatselskaya ◽  
Asen Grytsai ◽  
Vassyl Danylevsky ◽  
Andrey Bril ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Eastern Europe ◽  
Black Carbon ◽  
Atmospheric Aerosols ◽  
Mineral Dust ◽  
Organic Aerosols ◽  
Sea Salt ◽  
European Region ◽  
Eastern European ◽  
Pm2.5 Concentration

The spatial and temporal distributions of atmospheric aerosols have been simulated using the GEOS-Chem model over the sparsely investigated Eastern European region. The spatial distribution of the particulate matter (PM2.5) concentration, mineral dust, black carbon, organic aerosols, sea salt, as well as nitrate, sulfate, and ammonium aerosols during 2016–2017 were considered. The aerosols’ concentration, seasonality and spatial features were determined for the region. Particulate matter (PM2.5) contamination prevails in Poland in late autumn and winter. The monthly mean PM2.5 concentration reached 55 µg m−3 over the Moscow region in the early spring of both years. The mineral dust concentration varied significantly, reaching 40 µg m−3 over the southwestern part of Eastern Europe in March 2016. The areas most polluted by black carbon aerosols were the central and southern parts of Poland in the winter. The organic aerosols’ concentration was the largest in March and April, reaching 10 µg m−3 over East Belarus. The sea salt aerosol concentration increased in the coastal regions in winter due to the wind strength. Mineral dust aerosols in Eastern Europe are mainly composed of dust, partially transported from the Ukrainian steppe and partially from the Saharan Desert.

scholarly journals Characterization of Chittagong Aerosol by PCA Modeling

2012 ◽  
Vol 36 (1) ◽  
pp. 19-31
Author(s):  
Bilkis A Begum ◽  
Swapan K Biswas ◽  
M Nasiruddin
Keyword(s):  
Particulate Matter ◽  
Black Carbon ◽  
Motor Vehicle ◽  
Fine Fraction ◽  
Principal Component ◽  
Road Dust ◽  
Coarse Fraction ◽  
Sea Salt ◽  
Data Set ◽  
Reflectance Measurement

Black carbon and other selected trace elements concentrations in aerosol samples collected at   the Continuous Air Monitoring Station (CAMS) in Chittagong, the second largest city in Bangladesh, were investigated for possible source contributions. The particulate matter (PM) sampling was done from end of winter to middle of rainy season (February and July, 2007) using dichotomous sampler. The samples collected in two fractions of <2.5 ?m (fine) and 2.5 to 10 ?m (coarse) were analyzed for elemental concentrations by proton induced X-ray emission (PIXE), hydrogen by proton elastic scattering analysis (PESA), and black carbon by reflectance measurement. The elemental data sets together with black carbon were analyzed by principal component analysis method to identify the possible sources contributing to the mass concentration of coarse and fine particulate matter (FPM) fractions. The best solutions were found to be six and seven factors for coarse and fine fractions respectively, which could explain more than 90% of the variance in the data set. The sources were identified as biomass burning/brick kiln, soil dust, road dust, Zn source, Pb source, motor vehicle, CNG (compressed natural gas) vehicle and sea salt. It was found that in coarse fraction, the sea salt is mixed with Zn source and in fine fraction, the road dust factor is mixed with CNG vehicle source. DOI: http://dx.doi.org/10.3329/jbas.v36i1.10907 Journal of Bangladesh Academy of Sciences, Vol. 36, No. 1, 19-31, 2012

AMBIENT PARTICULATE MATTER (PM10 AND PM2.5) AIR POLLUTION IN DESNIANSKY DISTRICT IN KYIV

2017 ◽  
Vol 2017 (67) ◽  
pp. 31-37
Author(s):  
O. Turos ◽  
◽  
T. Maremukha ◽  
I. Kobzarenko ◽  
A. Petrosian ◽  
...  
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Ambient Particulate Matter ◽  
Pm10 And Pm2.5
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