PM generation study for sensor evaluation using enriched ambient air matrix.
Abstract
Within the actual environmental context, the interest for low-costs sensors and low-costs sensor systems for air quality monitoring is constantly growing. Actually, these devices promise to increase the monitoring capabilities at a fraction of the cost of the regulatory method defined in the European Air Quality Directive (Directive 2008/50/EC). However, if the theory of each measurement principle is well-known (electrochemical reaction, oxidation of the sensitive layer or light diffraction for example), when the different sensors are used for ambient air measurement, they are affected by gaseous or meteorological interferences that makes difficult the direct use of the raw data. Commonly, the sensors are first evaluated in laboratory using detailed protocols for gaseous compounds (Spinelle et al. 2013, Redon N. et al. 2016, Redon N. et al. 2017. In fact, for PM, laboratory evaluations are often based on the use of Arizona dust or nebulized salt generations with inconsistent results (Redon N. et al. 2018). Thus, the major part of the study of PM sensors performances is based on collocated field campaigns (Crunaire S. et al. 2018).
Since 2011, to evaluate regulatory PM measurement methods, Ineris has developed an enrichment system generating particulate matter in an ambient air matrix (Aujay R. et al. 2011, Amodéo T. et al. 2016). In comparison to the sole field campaigns, this system is able to generate different levels of PM during a defined period of time. It offers an alternative approach from the classic Lab/Field scheme by combining the flexibility of a controlled generation in laboratory with the full complexity of an ambient air matrix. Based on these works, Ineris used this unique enriched ambient air matrix capabilities for the evaluation of PM low-costs sensors. Using different generation apparatus, different salt, Ineris carried out several tests in order to characterise the PM sources using conventional methods such as FIDAS 200, TEOM FDMS and SMPS+APS. This study allowed to obtain a better snapshot of the particle size distribution to set-up a controlled but representative evaluation procotol in ambient air.- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2019
- Bibcode:
- 2019AGUFM.A31P2688S
- Keywords:
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- 0345 Pollution: urban and regional;
- ATMOSPHERIC COMPOSITION AND STRUCTURE;
- 0394 Instruments and techniques;
- ATMOSPHERIC COMPOSITION AND STRUCTURE