PM10 Source Identification: A Case of a Coastal City in Colombia
Abstract This paper assesses the spatial variation of EC, OC, major, and trace elements in an industrialized coastal city, allowing identification and tracers of PM10 emission sources. 83 samples (24 h average) were collected on quartz filters during the dry season using high-volume samplers. Major...
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| Format: | Article |
| Language: | English |
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Springer
2022-07-01
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| Series: | Aerosol and Air Quality Research |
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| Online Access: | https://doi.org/10.4209/aaqr.210293 |
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| author | Leandro Gómez-Plata Dayana Agudelo-Castañeda Margarita Castillo Elba C. Teixeira |
| author_facet | Leandro Gómez-Plata Dayana Agudelo-Castañeda Margarita Castillo Elba C. Teixeira |
| author_sort | Leandro Gómez-Plata |
| collection | DOAJ |
| description | Abstract This paper assesses the spatial variation of EC, OC, major, and trace elements in an industrialized coastal city, allowing identification and tracers of PM10 emission sources. 83 samples (24 h average) were collected on quartz filters during the dry season using high-volume samplers. Major and trace elements were analyzed using ICP-AES and ICP-MS, whereas a thermal/optical carbon analyzer was used to determine OC and EC. Chemical characterization of major elements, SiO2, SO42−, MgO, and CaO, showed high spatial variation between sites. The abundance of these major elements and OC confirmed the effect of exposed land resuspension and road dust; mutually with the production of secondary organic aerosol (SOA). Trace elements showed high values of Cu, Pb, Mn, and V, indicating the influence of road traffic and some industries (Cu) and oil burning (V and Mn). Enrichment Factor analysis revealed that Mg, P, S, Cu, and Pb were highly/moderately enriched indicating the substantial contribution of anthropogenic sources. Results of diagnostic ratios and PMF receptor model of the spatially obtained data suggested major sources of PM10 as traffic-related emissions, heavy fuel oil combustion, biomass burning, and industrial processes. Back trajectory analysis (HYSPLIT) indicated air masses were coming from the North-East region of the Atlantic Ocean as the principal origin. |
| format | Article |
| id | doaj-art-c6764043f60a44dba7ce57967572f1be |
| institution | Kabale University |
| issn | 1680-8584 2071-1409 |
| language | English |
| publishDate | 2022-07-01 |
| publisher | Springer |
| record_format | Article |
| series | Aerosol and Air Quality Research |
| spelling | doaj-art-c6764043f60a44dba7ce57967572f1be2025-02-09T12:18:10ZengSpringerAerosol and Air Quality Research1680-85842071-14092022-07-01221011710.4209/aaqr.210293PM10 Source Identification: A Case of a Coastal City in ColombiaLeandro Gómez-Plata0Dayana Agudelo-Castañeda1Margarita Castillo2Elba C. Teixeira3Department of Environmental Engineering, Corporation Universitario ReformadaDepartment of Civil and Environmental Engineering, Universidad del NorteDepartment of Environmental Engineering, Corporation Universitario ReformadaPostgraduate Program in Remote Sensing, Universidade Federal do Rio Grande do SulAbstract This paper assesses the spatial variation of EC, OC, major, and trace elements in an industrialized coastal city, allowing identification and tracers of PM10 emission sources. 83 samples (24 h average) were collected on quartz filters during the dry season using high-volume samplers. Major and trace elements were analyzed using ICP-AES and ICP-MS, whereas a thermal/optical carbon analyzer was used to determine OC and EC. Chemical characterization of major elements, SiO2, SO42−, MgO, and CaO, showed high spatial variation between sites. The abundance of these major elements and OC confirmed the effect of exposed land resuspension and road dust; mutually with the production of secondary organic aerosol (SOA). Trace elements showed high values of Cu, Pb, Mn, and V, indicating the influence of road traffic and some industries (Cu) and oil burning (V and Mn). Enrichment Factor analysis revealed that Mg, P, S, Cu, and Pb were highly/moderately enriched indicating the substantial contribution of anthropogenic sources. Results of diagnostic ratios and PMF receptor model of the spatially obtained data suggested major sources of PM10 as traffic-related emissions, heavy fuel oil combustion, biomass burning, and industrial processes. Back trajectory analysis (HYSPLIT) indicated air masses were coming from the North-East region of the Atlantic Ocean as the principal origin.https://doi.org/10.4209/aaqr.210293PM10SPATIAL variationPMF modelEnrichment factorTRACE elements |
| spellingShingle | Leandro Gómez-Plata Dayana Agudelo-Castañeda Margarita Castillo Elba C. Teixeira PM10 Source Identification: A Case of a Coastal City in Colombia Aerosol and Air Quality Research PM10 SPATIAL variation PMF model Enrichment factor TRACE elements |
| title | PM10 Source Identification: A Case of a Coastal City in Colombia |
| title_full | PM10 Source Identification: A Case of a Coastal City in Colombia |
| title_fullStr | PM10 Source Identification: A Case of a Coastal City in Colombia |
| title_full_unstemmed | PM10 Source Identification: A Case of a Coastal City in Colombia |
| title_short | PM10 Source Identification: A Case of a Coastal City in Colombia |
| title_sort | pm10 source identification a case of a coastal city in colombia |
| topic | PM10 SPATIAL variation PMF model Enrichment factor TRACE elements |
| url | https://doi.org/10.4209/aaqr.210293 |
| work_keys_str_mv | AT leandrogomezplata pm10sourceidentificationacaseofacoastalcityincolombia AT dayanaagudelocastaneda pm10sourceidentificationacaseofacoastalcityincolombia AT margaritacastillo pm10sourceidentificationacaseofacoastalcityincolombia AT elbacteixeira pm10sourceidentificationacaseofacoastalcityincolombia |