Back to Search
Start Over
Characterization and source identification of airborne particulate loadings at receptor site-classes of Lagos Mega-City, Nigeria
- Source :
- Journal of the Air & Waste Management Association. 63:1026-1035
- Publication Year :
- 2013
- Publisher :
- Informa UK Limited, 2013.
-
Abstract
- Size segregated suspended particulate matter (PM2.5 and PM2.5-10) were collected using Gent low-volume air sampler at four different receptor site-classes in Lagos Mega City, Nigeria. The particulate mass loading was quantified and the concentration was analyzed to examine the pattern and variation from one receptor site-class to another. The PM2.5/PM10 ratio varied among the site-classes with the residential and marine sites having the least and highest ratio of 0.31 +/- 0.13 and 0.49 +/- 0.17 respectively. Particulate loading was higher on weekdays than on weekends (by a factor of about 1.5) in all but the marine site-class.The mean PM2.5/PM10 ratio is 0.41 +/- 0.15, which suggests that traffic emission is not the principal source of the Particulate Matter (PM). The INAA assay of the particulates detected ten elements: As, Br, Ce, K, La, Mo, Na, Sb, Sm and Zn. Except for Br, Mo and Sb, the detected elements were more pronounced in the coarse-fractioned filter Principal Component Factor Analysis (PCFA) of the detected elements identified some common sources (traffic-related, traffic emission, sea-salt and industrial emission) for both PM fractions at the four receptor site-classes.
- Subjects :
- Principal Component Analysis
Principal component factor analysis
Environmental engineering
Nigeria
Traffic emission
Air sampler
Management, Monitoring, Policy and Law
Particulates
Elements
complex mixtures
Mass loading
Industrial emission
Air Pollution
Environmental chemistry
Environmental science
Particulate Matter
Cities
Waste Management and Disposal
Subjects
Details
- ISSN :
- 21622906 and 10962247
- Volume :
- 63
- Database :
- OpenAIRE
- Journal :
- Journal of the Air & Waste Management Association
- Accession number :
- edsair.doi.dedup.....80a506bcb92fd4e5368e5c079d99ed2a
- Full Text :
- https://doi.org/10.1080/10962247.2013.793627