Source Apportionment and Assessment of Air Quality Index of PM<sub>2.5–10</sub> and PM<sub>2.5</sub> in at Two Different Sites in Urban Background Area in Senegal
Identifying the particulate matter (PM) sources is an essential step to assess PM effects on human health and understand PM’s behavior in a specific environment. Information about the composition of the organic or/and inorganic fraction of PM is usually used for source apportionment studies. In this...
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| Format: | Article |
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MDPI AG
2021-01-01
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| Series: | Atmosphere |
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| Online Access: | https://www.mdpi.com/2073-4433/12/2/182 |
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| author | Moustapha Kebe Alassane Traore Manousos Ioannis Manousakas Vasiliki Vasilatou Ababacar Sadikhe Ndao Ahmadou Wague Konstantinos Eleftheriadis |
| author_facet | Moustapha Kebe Alassane Traore Manousos Ioannis Manousakas Vasiliki Vasilatou Ababacar Sadikhe Ndao Ahmadou Wague Konstantinos Eleftheriadis |
| author_sort | Moustapha Kebe |
| collection | DOAJ |
| description | Identifying the particulate matter (PM) sources is an essential step to assess PM effects on human health and understand PM’s behavior in a specific environment. Information about the composition of the organic or/and inorganic fraction of PM is usually used for source apportionment studies. In this study that took place in Dakar, Senegal, the identification of the sources of two PM fractions was performed by utilizing data on the elemental composition and elemental carbon content. Four PM sources were identified using positive matrix factorization (PMF): Industrial emissions, mineral dust, traffic emissions, and sea salt/secondary sulfates. To assess the effect of PM on human health the air quality index (AQI) was estimated. The highest values of AQI are approximately 497 and 488, in Yoff and Hlm, respectively. The spatial location of the sources was investigated using potential source contribution function (PSCF). PSCF plots revealed the high effect of transported dust from the desert regions to PM concentration in the sampling site. To the best of our knowledge, this is the first source apportionment study on PM fractions published for Dakar, Senegal. |
| first_indexed | 2024-03-09T03:17:49Z |
| format | Article |
| id | doaj.art-4b57fe5ece8a491e8ea308bff631678d |
| institution | Directory Open Access Journal |
| issn | 2073-4433 |
| language | English |
| last_indexed | 2024-03-09T03:17:49Z |
| publishDate | 2021-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj.art-4b57fe5ece8a491e8ea308bff631678d2023-12-03T15:14:59ZengMDPI AGAtmosphere2073-44332021-01-0112218210.3390/atmos12020182Source Apportionment and Assessment of Air Quality Index of PM<sub>2.5–10</sub> and PM<sub>2.5</sub> in at Two Different Sites in Urban Background Area in SenegalMoustapha Kebe0Alassane Traore1Manousos Ioannis Manousakas2Vasiliki Vasilatou3Ababacar Sadikhe Ndao4Ahmadou Wague5Konstantinos Eleftheriadis6Institut de Technologie Nucléaire Appliquée, Université Cheikh Anta Diop Dakar, Dakar 10700, SenegalInstitut de Technologie Nucléaire Appliquée, Université Cheikh Anta Diop Dakar, Dakar 10700, SenegalE.R.L., Institute of Nuclear & Radiological Sciences & Technology, Energy & Safety, N.C.S.R. Demokritos, 15310 Agia Paraskevi, Attiki, GreeceE.R.L., Institute of Nuclear & Radiological Sciences & Technology, Energy & Safety, N.C.S.R. Demokritos, 15310 Agia Paraskevi, Attiki, GreeceInstitut de Technologie Nucléaire Appliquée, Université Cheikh Anta Diop Dakar, Dakar 10700, SenegalFaculté des Sciences et Techniques, Université Cheikh Anta Diop Dakar, Dakar 10700, SenegalE.R.L., Institute of Nuclear & Radiological Sciences & Technology, Energy & Safety, N.C.S.R. Demokritos, 15310 Agia Paraskevi, Attiki, GreeceIdentifying the particulate matter (PM) sources is an essential step to assess PM effects on human health and understand PM’s behavior in a specific environment. Information about the composition of the organic or/and inorganic fraction of PM is usually used for source apportionment studies. In this study that took place in Dakar, Senegal, the identification of the sources of two PM fractions was performed by utilizing data on the elemental composition and elemental carbon content. Four PM sources were identified using positive matrix factorization (PMF): Industrial emissions, mineral dust, traffic emissions, and sea salt/secondary sulfates. To assess the effect of PM on human health the air quality index (AQI) was estimated. The highest values of AQI are approximately 497 and 488, in Yoff and Hlm, respectively. The spatial location of the sources was investigated using potential source contribution function (PSCF). PSCF plots revealed the high effect of transported dust from the desert regions to PM concentration in the sampling site. To the best of our knowledge, this is the first source apportionment study on PM fractions published for Dakar, Senegal.https://www.mdpi.com/2073-4433/12/2/182aerosolPMFelemental compositionPSCF |
| spellingShingle | Moustapha Kebe Alassane Traore Manousos Ioannis Manousakas Vasiliki Vasilatou Ababacar Sadikhe Ndao Ahmadou Wague Konstantinos Eleftheriadis Source Apportionment and Assessment of Air Quality Index of PM<sub>2.5–10</sub> and PM<sub>2.5</sub> in at Two Different Sites in Urban Background Area in Senegal Atmosphere aerosol PMF elemental composition PSCF |
| title | Source Apportionment and Assessment of Air Quality Index of PM<sub>2.5–10</sub> and PM<sub>2.5</sub> in at Two Different Sites in Urban Background Area in Senegal |
| title_full | Source Apportionment and Assessment of Air Quality Index of PM<sub>2.5–10</sub> and PM<sub>2.5</sub> in at Two Different Sites in Urban Background Area in Senegal |
| title_fullStr | Source Apportionment and Assessment of Air Quality Index of PM<sub>2.5–10</sub> and PM<sub>2.5</sub> in at Two Different Sites in Urban Background Area in Senegal |
| title_full_unstemmed | Source Apportionment and Assessment of Air Quality Index of PM<sub>2.5–10</sub> and PM<sub>2.5</sub> in at Two Different Sites in Urban Background Area in Senegal |
| title_short | Source Apportionment and Assessment of Air Quality Index of PM<sub>2.5–10</sub> and PM<sub>2.5</sub> in at Two Different Sites in Urban Background Area in Senegal |
| title_sort | source apportionment and assessment of air quality index of pm sub 2 5 10 sub and pm sub 2 5 sub in at two different sites in urban background area in senegal |
| topic | aerosol PMF elemental composition PSCF |
| url | https://www.mdpi.com/2073-4433/12/2/182 |
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