Evaluation of airborne particulate matter pollution in Kenitra City, Morocco
Two size fractions of atmospheric particulate matter < 2.5 µm and 2.5-10 µm were collected in Kenitra City from February 2007 to February 2008. The sampling was done using a Gent Stacked sampler on nuclepore polycarbonate filters and the collected filters were analyzed using Total Reflection X-Ra...
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHi)
2013-04-01
|
Series: | Revista Ambiente & Água |
Subjects: | |
Online Access: | http://www.ambi-agua.net/seer/index.php/ambi-agua/article/view/1042 |
id |
doaj-8455cc3e79e54b85b38a203c87c25f5e |
---|---|
record_format |
Article |
spelling |
doaj-8455cc3e79e54b85b38a203c87c25f5e2020-11-25T01:51:53ZengInstituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHi)Revista Ambiente & Água1980-993X2013-04-0181384710.4136/ambi-agua.1042Evaluation of airborne particulate matter pollution in Kenitra City, MoroccoAbdelfettah BenchrifFouad BenyaïchYves NoackMustapha ZghaïdMoussa BounakhlaMounia TahriTwo size fractions of atmospheric particulate matter < 2.5 µm and 2.5-10 µm were collected in Kenitra City from February 2007 to February 2008. The sampling was done using a Gent Stacked sampler on nuclepore polycarbonate filters and the collected filters were analyzed using Total Reflection X-Ray Fluorescence (TXRF) and Atomic Absorption Spectroscopy (AAS). The particulate matter trends show higher concentrations during the summer as compared to other seasons. The highest concentrations were obtained for Ca in coarse particles and Fe for fine particles. However, the lowest concentrations were observed for Cd in both particulate sizes. The principal component analysis (PCA) based on multivariate study enabled the identification of soil, road dust and traffic emissions as common sources for coarse and fine particles.http://www.ambi-agua.net/seer/index.php/ambi-agua/article/view/1042X-ray fluorescence, cluster analysis, principal component analysis |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Abdelfettah Benchrif Fouad Benyaïch Yves Noack Mustapha Zghaïd Moussa Bounakhla Mounia Tahri |
spellingShingle |
Abdelfettah Benchrif Fouad Benyaïch Yves Noack Mustapha Zghaïd Moussa Bounakhla Mounia Tahri Evaluation of airborne particulate matter pollution in Kenitra City, Morocco Revista Ambiente & Água X-ray fluorescence, cluster analysis, principal component analysis |
author_facet |
Abdelfettah Benchrif Fouad Benyaïch Yves Noack Mustapha Zghaïd Moussa Bounakhla Mounia Tahri |
author_sort |
Abdelfettah Benchrif |
title |
Evaluation of airborne particulate matter pollution in Kenitra City, Morocco |
title_short |
Evaluation of airborne particulate matter pollution in Kenitra City, Morocco |
title_full |
Evaluation of airborne particulate matter pollution in Kenitra City, Morocco |
title_fullStr |
Evaluation of airborne particulate matter pollution in Kenitra City, Morocco |
title_full_unstemmed |
Evaluation of airborne particulate matter pollution in Kenitra City, Morocco |
title_sort |
evaluation of airborne particulate matter pollution in kenitra city, morocco |
publisher |
Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHi) |
series |
Revista Ambiente & Água |
issn |
1980-993X |
publishDate |
2013-04-01 |
description |
Two size fractions of atmospheric particulate matter < 2.5 µm and 2.5-10 µm were collected in Kenitra City from February 2007 to February 2008. The sampling was done using a Gent Stacked sampler on nuclepore polycarbonate filters and the collected filters were analyzed using Total Reflection X-Ray Fluorescence (TXRF) and Atomic Absorption Spectroscopy (AAS). The particulate matter trends show higher concentrations during the summer as compared to other seasons. The highest concentrations were obtained for Ca in coarse particles and Fe for fine particles. However, the lowest concentrations were observed for Cd in both particulate sizes. The principal component analysis (PCA) based on multivariate study enabled the identification of soil, road dust and traffic emissions as common sources for coarse and fine particles. |
topic |
X-ray fluorescence, cluster analysis, principal component analysis |
url |
http://www.ambi-agua.net/seer/index.php/ambi-agua/article/view/1042 |
work_keys_str_mv |
AT abdelfettahbenchrif evaluationofairborneparticulatematterpollutioninkenitracitymorocco AT fouadbenyaich evaluationofairborneparticulatematterpollutioninkenitracitymorocco AT yvesnoack evaluationofairborneparticulatematterpollutioninkenitracitymorocco AT mustaphazghaid evaluationofairborneparticulatematterpollutioninkenitracitymorocco AT moussabounakhla evaluationofairborneparticulatematterpollutioninkenitracitymorocco AT mouniatahri evaluationofairborneparticulatematterpollutioninkenitracitymorocco |
_version_ |
1724995780039671808 |