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Laboratory Comparison of Low-Cost Particulate Matter Sensors to Measure Transient Events of Pollution.
Bulot, Florentin Michel Jacques; Russell, Hugo Savill; Rezaei, Mohsen; Johnson, Matthew Stanley; Ossont, Steven James Johnston; Morris, Andrew Kevin Richard; Basford, Philip James; Easton, Natasha Hazel Celeste; Foster, Gavin Lee; Loxham, Matthew; Cox, Simon James.
Afiliação
  • Bulot FMJ; Faculty of Engineering and Physical Sciences, University of Southampton, Southampton SO17 1BJ, UK.
  • Russell HS; Southampton Marine and Maritime Institute, University of Southampton, Southampton SO16 7QF, UK.
  • Rezaei M; Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, DK-4000 Roskilde, Denmark.
  • Johnson MS; Airlabs Denmark, Lersø Park Allé 107, DK-2100 Copenhagen Ø, Denmark.
  • Ossont SJJ; Department of Environmental Science, Atmospheric Measurement, Aarhus University, Frederiksborgvej 399, DK-4000 Roskilde, Denmark.
  • Morris AKR; Department of Chemistry, University of Copenhagen, Universitetsparken 5, DK-2100 Copenhagen Ø, Denmark.
  • Basford PJ; Airlabs Denmark, Lersø Park Allé 107, DK-2100 Copenhagen Ø, Denmark.
  • Easton NHC; Department of Chemistry, University of Copenhagen, Universitetsparken 5, DK-2100 Copenhagen Ø, Denmark.
  • Foster GL; Faculty of Engineering and Physical Sciences, University of Southampton, Southampton SO17 1BJ, UK.
  • Loxham M; Southampton Marine and Maritime Institute, University of Southampton, Southampton SO16 7QF, UK.
  • Cox SJ; National Oceanography Centre, Southampton SO14 3ZH, UK.
Sensors (Basel) ; 20(8)2020 Apr 15.
Article em En | MEDLINE | ID: mdl-32326452
ABSTRACT
Airborne particulate matter (PM) exposure has been identified as a key environmental risk factor, associated especially with diseases of the respiratory and cardiovascular system and with almost 9 million premature deaths per year. Low-cost optical sensors for PM measurement are desirable for monitoring exposure closer to the personal level and particularly suited for developing spatiotemporally dense city sensor networks. However, questions remain over the accuracy and reliability of the data they produce, particularly regarding the influence of environmental parameters such as humidity and temperature, and with varying PM sources and concentration profiles. In this study, eight units each of five different models of commercially available low-cost optical PM sensors (40 individual sensors in total) were tested under controlled laboratory conditions, against higher-grade instruments for lower limit of detection, response time, responses to sharp pollution spikes lasting <1 min , and the impact of differing humidity and PM source. All sensors detected the spikes generated with a varied range of performances depending on the model and presenting different sensitivity mainly to sources of pollution and to size distributions with a lesser impact of humidity. The sensitivity to particle size distribution indicates that the sensors may provide additional information to PM mass concentrations. It is concluded that improved performance in field monitoring campaigns, including tracking sources of pollution, could be achieved by using a combination of some of the different models to take advantage of the additional information made available by their differential response.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Health_economic_evaluation / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Health_economic_evaluation / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Reino Unido