Source Apportionment of PM10 by Positive Matrix Factorization in Urban Area of Mumbai, India
Particulate Matter (PM10) has been one of the main air pollutants exceeding the ambient standards in most of the major cities in India. During last few years, receptor models such as Chemical Mass Balance, Positive Matrix Factorization (PMF), PCA–APCS and UNMIX have been used to provide solutions to...
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| Format: | Article |
| Language: | English |
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Wiley
2012-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1100/2012/585791 |
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| author | Indrani Gupta Abhaysinh Salunkhe Rakesh Kumar |
| author_facet | Indrani Gupta Abhaysinh Salunkhe Rakesh Kumar |
| author_sort | Indrani Gupta |
| collection | DOAJ |
| description | Particulate Matter (PM10) has been one of the main air pollutants exceeding the ambient standards in most of the major cities in India. During last few years, receptor models such as Chemical Mass Balance, Positive Matrix Factorization (PMF), PCA–APCS and UNMIX have been used to provide solutions to the source identification and contributions which are accepted for developing effective and efficient air quality management plans. Each site poses different complexities while resolving PM10 contributions. This paper reports the variability of four sites within Mumbai city using PMF. Industrial area of Mahul showed sources such as residual oil combustion and paved road dust (27%), traffic (20%), coal fired boiler (17%), nitrate (15%). Residential area of Khar showed sources such as residual oil combustion and construction (25%), motor vehicles (23%), marine aerosol and nitrate (19%), paved road dust (18%) compared to construction and natural dust (27%), motor vehicles and smelting work (25%), nitrate (16%) and biomass burning and paved road dust (15%) in Dharavi, a low income slum residential area. The major contributors of PM10 at Colaba were marine aerosol, wood burning and ammonium sulphate (24%), motor vehicles and smelting work (22%), Natural soil (19%), nitrate and oil burning (18%). |
| format | Article |
| id | doaj-art-4e91dff696f145f899c47119d821d493 |
| institution | Kabale University |
| issn | 1537-744X |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-4e91dff696f145f899c47119d821d4932025-02-03T01:24:24ZengWileyThe Scientific World Journal1537-744X2012-01-01201210.1100/2012/585791585791Source Apportionment of PM10 by Positive Matrix Factorization in Urban Area of Mumbai, IndiaIndrani Gupta0Abhaysinh Salunkhe1Rakesh Kumar2National Environmental Engineering Research Institute (NEERI), Mumbai Zonal Centre, 89/B Dr. A.B. Road, Worli, Mumbai 400018, IndiaNational Environmental Engineering Research Institute (NEERI), Mumbai Zonal Centre, 89/B Dr. A.B. Road, Worli, Mumbai 400018, IndiaNational Environmental Engineering Research Institute (NEERI), Mumbai Zonal Centre, 89/B Dr. A.B. Road, Worli, Mumbai 400018, IndiaParticulate Matter (PM10) has been one of the main air pollutants exceeding the ambient standards in most of the major cities in India. During last few years, receptor models such as Chemical Mass Balance, Positive Matrix Factorization (PMF), PCA–APCS and UNMIX have been used to provide solutions to the source identification and contributions which are accepted for developing effective and efficient air quality management plans. Each site poses different complexities while resolving PM10 contributions. This paper reports the variability of four sites within Mumbai city using PMF. Industrial area of Mahul showed sources such as residual oil combustion and paved road dust (27%), traffic (20%), coal fired boiler (17%), nitrate (15%). Residential area of Khar showed sources such as residual oil combustion and construction (25%), motor vehicles (23%), marine aerosol and nitrate (19%), paved road dust (18%) compared to construction and natural dust (27%), motor vehicles and smelting work (25%), nitrate (16%) and biomass burning and paved road dust (15%) in Dharavi, a low income slum residential area. The major contributors of PM10 at Colaba were marine aerosol, wood burning and ammonium sulphate (24%), motor vehicles and smelting work (22%), Natural soil (19%), nitrate and oil burning (18%).http://dx.doi.org/10.1100/2012/585791 |
| spellingShingle | Indrani Gupta Abhaysinh Salunkhe Rakesh Kumar Source Apportionment of PM10 by Positive Matrix Factorization in Urban Area of Mumbai, India The Scientific World Journal |
| title | Source Apportionment of PM10 by Positive Matrix Factorization in Urban Area of Mumbai, India |
| title_full | Source Apportionment of PM10 by Positive Matrix Factorization in Urban Area of Mumbai, India |
| title_fullStr | Source Apportionment of PM10 by Positive Matrix Factorization in Urban Area of Mumbai, India |
| title_full_unstemmed | Source Apportionment of PM10 by Positive Matrix Factorization in Urban Area of Mumbai, India |
| title_short | Source Apportionment of PM10 by Positive Matrix Factorization in Urban Area of Mumbai, India |
| title_sort | source apportionment of pm10 by positive matrix factorization in urban area of mumbai india |
| url | http://dx.doi.org/10.1100/2012/585791 |
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