Air pollution by fine particulate matter in Bangladesh

Begum, Bilkis A.; Hopke, Philip K.; Markwitz, A.

doi:10.5094/apr.2013.008

Cited by 155 publications

(106 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There have been studies of the particulate matter concentrations and compositions for over a decade (Salam et al, 2003: Biswas et al, 2003Begum et al, 2004Begum et al, , 2005Begum et al, , 2010Begum et al, , 2013 (Begum et al, 2013). Many of these studies have included receptor modeling to identify the major source types contributing to the observed PM.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Identification of haze-creating sources from fine particulate matter in Dhaka aerosol using carbon fractions

Begum

Hopke

2013

Journal of the Air & Waste Management Association

Self Cite

View full text Add to dashboard Cite

Fine particulate matter (PM 2.5 ) samples were simultaneously collected on Teflon and quartz filters between February 2010 and February 2011 at an urban monitoring site (CAMS2) in Dhaka, Bangladesh. The samples were collected using AirMetrics MiniVol samplers. The samples on Teflon filters were analyzed for their elemental composition by PIXE and PESA. Particulate carbon on quartz filters was analyzed using the IMPROVE thermal optical reflectance (TOR) method that divides carbon into four organic carbons (OC), pyrolized organic carbon (OP), and three elemental carbon (EC) fractions. The data were analyzed by positive matrix factorization using the PMF2 program. Initially, only total OC and total EC were included in the analysis and five sources, including road dust, sea salt and Zn, soil dust, motor vehicles, and brick kilns, were obtained. In the second analysis, the eight carbon fractions (OC1, OC2, OC3, OC4, OP, EC1, EC2, EC3) were included in order to ascertain whether additional source information could be extracted from the data. In this case, it is possible to identify more sources than with only total OC and EC. The motor vehicle source was separated into gasoline and diesel emissions and a fugitive Pb source was identified. Brick kilns contribute 7.9 g/m 3 and 6.0 g/m 3 of OC and EC, respectively, to the fine particulate matter based on the two results. From the estimated mass extinction coefficients and the apportioned source contributions, soil dust, brick kiln, diesel, gasoline, and the Pb sources were found to contribute most strongly to visibility degradation, particularly in the winter.Implications: Fine particle concentrations in Dhaka, Bangladesh, are very high and cause significant degradation of urban visibility. This work shows that using carbon fraction data from the IMPROVE OC/EC protocol provides improved source apportionment. Soil dust, brick kiln, diesel, gasoline, and the Pb sources contribute strongly to haze, particularly in the winter.

show abstract

Section: Introductionmentioning

confidence: 99%

“…In order to better resolve the sources of fine particulate matter, a special study was performed that measured the concentrations of organic (OC) and elemental (EC) carbon in PM 2.5 samples over the course of 1 year (Begum et al, 2013). This paper presents the separation of PM 2.5 sources using PMF modeling in two ways.…”

Section: Introductionmentioning

confidence: 99%

Identification of haze-creating sources from fine particulate matter in Dhaka aerosol using carbon fractions

Begum

Hopke

2013

Journal of the Air & Waste Management Association

Self Cite

View full text Add to dashboard Cite

show abstract

“…PMF offers a viable alternative given the absence of a local source profile library for air pollutants especially in most developing countries such as Nigeria. PMF have been applied successfully in the studies of aerosol sources of many cities; Toronto, Canada [7]; Atlanta, USA [8] Pittsburg, USA [9]; Beijing, China [10]; Bangladesh [11] and Costa Rica [12]. An Trace Metals and Source Identification of Air-Borne Particulate Matter Pollution in A Nigerian Megacity achieved using ''Gent'' stacked filter sampler [14] capable of segregating both size fractions.…”

Section: Introductionmentioning

confidence: 99%

Trace Metals and Source Identification of Air-Borne Particulate Matter Pollution in A Nigerian Megacity

Gc¹,

Ib²,

Asubiojo³

2017

J Environ Anal Toxicol

View full text Add to dashboard Cite

“…Climate changes are directly related to air pollution which includes green house gases (GHG) and major air pollutants like particulate matter (PM), nitrogen dioxide (NO 2 ), sulphur dioxide (SO 2 ), carbon monoxide (CO), ozone (O 3 ) and black carbon (BC). 1 According to 2 , India is second highest after china in terms of number death (1,20,600) registered for outdoor air pollution. 3 Literature survey point out how particulate matter effect on human health due to indoor and outdoor air pollution by various pollutants.…”

Section: Introductionmentioning

confidence: 99%

Measurement and Statistical Analysis of Ambient Air Quality Status in Cuddalore Region, Tamilnadu, India

Bhuyan¹,

Anandhan²,

Kavitha³

2014

J Biol Sci Opin

View full text Add to dashboard Cite

The present study deals with the assessment of ambient air quality at six different locations in Cuddalore region, Tamil Nadu, India. The 24 hours average concentration of suspended particulate matter (SPM), nitrogen dioxide (NO2) and sulphur dioxide (SO2) were monitored at cuddalore region, Tamil Nadu, India. The 24 hour concentration of SPM, NO2 and SO2 were 132. 34-197.45, 56.33-89.71 and 58.78-80.68 µg/m 3 respectively. In present study, it was observed that concentration of NO2; SO2 levels exceed the permissible limit of National Ambient Air Quality Standard (NAAQS) for residential area.Exposures of these pollutants (NO2 and SO2) above standard levels (NAAQS) causes serious health effects on human health, associated with cardiovascular and respiratory diseases, increased risk of premature birth morbidity and even mortality. There is a significant correlation between SPM with NO2(r = 0.53), and SO2 (r = 0.46) with linear regression also analyzed. Air Quality Index (AQI) values are in order of S1 > S4 > S5 > S6 > S3> S2, and, it is clearly indicates that among six locations, Nellikuppam (S1) is highly polluted and Thiruvandipuram (S2) is moderately polluted. This is due to combustion processes particularly industrial emissions, motor vehicles and commercial activities.

show abstract

Air pollution by fine particulate matter in Bangladesh

Cited by 155 publications

References 29 publications

Identification of haze-creating sources from fine particulate matter in Dhaka aerosol using carbon fractions

Identification of haze-creating sources from fine particulate matter in Dhaka aerosol using carbon fractions

Trace Metals and Source Identification of Air-Borne Particulate Matter Pollution in A Nigerian Megacity

Measurement and Statistical Analysis of Ambient Air Quality Status in Cuddalore Region, Tamilnadu, India

Contact Info

Product

Resources

About