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Source Apportionment of Particulate Air Pollution and Percentage Contribution of PM10 and PM2.5 Using Chemical Mass Balance (CMB) Method

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1TitleTitle of DocumentSource Apportionment of Particulate Air Pollution and Percentage Contribution of PM10 and PM2.5 Using Chemical Mass Balance (CMB) Method
2CreatorAuthor's name, affiliation, country D. SARALA THAMBAVANI and J. MAHESWARI
Department of Chemistry, Sri Meenakshi Govt College for Women, Madurai-625002, Tamilnadu, India
Department of Chemistry, V.H.N.S.N.College, Virudhunagar-626001, Tamilnadu, India
3SubjectDicipline(s) Chemical Science
3SubjectKeywords PM10, CMB, Virudhunagar, Particulate matter, Exceedence factor, Critical pollution
4DescriptionAbstract The study is to analyze the concentration of particulate pollutants level and its monitoring, there fore suggesting controlling measures of particulate pollution at Virudhunagar in Tamilnadu. This work summarized the results of a series of comprehensive studies on particulate matter carried out in study area from 2010 to 2011. The air quality has been categorized into four broad categories based on an Exceedence Factor (EF) of measured concentration of pollutants. It could be seen from the categorization, that all the study sites were violating the standards, although, with varying magnitude. The concentration of particulate matter PM10 and PM2.5 was statistically analyzed and higher concentration of pollutants observed during the months of April and May. Overall high concentration of particulates observed during summer at site 2. There is no considerable variation of concentration of particulates was observed at site 3 during all the three seasons. In the available receptor models, chemical mass balance(CMB) method was utilized for this study. This modeling involves quantitative assessment of source contributions to the measured ambient samples based on the degree to which source profiles can be combined to produce ambient concentrations. Particulate samples collected from all the three locations were subjected to chemical speciation. The composition of the data was analyzed and divided into three categories to correlate with the sources. Sources identified as major contributors to particulate pollution were fugitive dust on roads and construction sites, vehicular exhaust, biomass burning at residential and road side trash. The monitoring and analysis results were utilized to strengthen the need for a faster and effective pollution control action plan for the study area.
5PublishersOrganizing agency, location WWW Publications, India
6Contributor Sponsor(s) -
7DateDate (YYYY-MM-DD) -
8TypeStatus & genre Peer-reviewed Article
8TypeType
9FormateFile Formate PDF
10IdentifierUniform Resource Identifier Click Here
10IdentifierDigital Object Identifier DOI:10.7598/cst2013.251
11SourceJournal/conference title; vol., no. (Year)Chemical Science Transactions, Volume  2 , Number  (2), (2013)
12LanuguageEnglish=en en
13RelationSupp.files
14Coverage -
15CopyrightCopyright and permissions
Chemical Science Transactions | Chem Sci Trans | CST | Online Chemistry Journal | Open Access
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