Air quality mapping using PM2.5 sensors on urban buses
Six low-cost air quality sensors were installed on the front roof area of three buses to enable real-time monitoring of air quality across the city of Valladolid (Spain) over a 7-month period, capturing variability in meteorological conditions and emission sources. Prior to deployment, the sensors w...
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2026 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:dnet:digitalcsic_::363d338f52cdc0dc4c6cb14c47c2e34b |
| Acceso en línea: | http://hdl.handle.net/10261/427172 https://api.elsevier.com/content/abstract/scopus_id/105032884045 |
| Access Level: | acceso abierto |
| Palabra clave: | Urban air quality Low cost sensors Mapping PM2.5 Sensors http://metadata.un.org/sdg/12 http://metadata.un.org/sdg/3 http://metadata.un.org/sdg/17 http://metadata.un.org/sdg/6 http://metadata.un.org/sdg/9 http://metadata.un.org/sdg/11 Ensure healthy lives and promote well-being for all at all ages Ensure availability and sustainable management of water and sanitation for all Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation Make cities and human settlements inclusive, safe, resilient and sustainable Ensure sustainable consumption and production patterns Strengthen the means of implementation and revitalize the Global Partnership for Sustainable Development |
| Sumario: | Six low-cost air quality sensors were installed on the front roof area of three buses to enable real-time monitoring of air quality across the city of Valladolid (Spain) over a 7-month period, capturing variability in meteorological conditions and emission sources. Prior to deployment, the sensors were placed at a reference station in Barcelona (Spain) for validation and calibration. Measurements deviating by more than 30% from reference values were discarded, and correlation coefficients (R<sup>2</sup>) were calculated. After the monitoring campaign, the calibration procedure was repeated. The results (R<sup>2</sup> = 0.85) suggest that bus-mounted sensors can effectively support real-time detection of urban air quality changes and contribute to detailed air quality mapping. Integrating data from reference air quality monitoring networks (AQMNs) with low-cost sensor (LCS) systems can strengthen evidence-based policymaking and help refine regulatory frameworks aimed at reducing urban air pollution. |
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