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http://hdl.handle.net/20.500.11765/15213
Long-Term Analysis of Aerosol Concentrations Using a Low-Cost Sensor: Monitoring African Dust Outbreaks in a Suburban Environment in the Canary Islands
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Campo DC | Valor | Lengua/Idioma |
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dc.contributor.author | Alonso Pérez, Silvia | es_ES |
dc.contributor.author | López Solano, Javier | es_ES |
dc.date.accessioned | 2023-10-23T07:13:08Z | - |
dc.date.available | 2023-10-23T07:13:08Z | - |
dc.date.issued | 2023 | - |
dc.identifier.citation | Sensors. 2023, 23(18), 7768 | es_ES |
dc.identifier.issn | 1424-8220 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11765/15213 | - |
dc.description.abstract | This study presents the results of the long-term monitoring of PM10 and PM2.5 concentrations using a low-cost particle sensor installed in a suburban environment in the Canary Islands. A laser-scattering Nova Fitness SDS011 sensor was operated continuously for approximately three and a half years, which is longer than most other studies using this type of sensor. The impact of African dust outbreaks on the aerosol concentrations was assessed, showing a significant increase in both PM10 and PM2.5 concentrations during the outbreaks. Additionally, a good correlation was found with a nearby reference instrument of the air quality network of the Canary Islands’ government. The correlation between the PM10 and PM2.5 concentrations, the effect of relative humidity, and the stability of the sensor were also investigated. This study highlights the potential of this kind of sensor for long-term air quality monitoring with a view to developing extensive and dense low-cost air quality networks that are complementary to official air quality networks. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | MDPI | es_ES |
dc.rights | Licencia CC: Reconocimiento CC BY | es_ES |
dc.subject | Low-cost sensors | es_ES |
dc.subject | Mineral dust | es_ES |
dc.subject | Air quality | es_ES |
dc.subject | Aerosols | es_ES |
dc.subject | Particulate matter | es_ES |
dc.title | Long-Term Analysis of Aerosol Concentrations Using a Low-Cost Sensor: Monitoring African Dust Outbreaks in a Suburban Environment in the Canary Islands | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.relation.publisherversion | https://doi.org/10.3390/s23187768 | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
Colecciones: | Artículos científicos 2023-2026 |
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Sensors_Alonso_2023.pdf | 3,99 MB | Adobe PDF | Visualizar/Abrir |
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