A Wavenet-Based Virtual Sensor for PM10 Monitoring

A Wavenet-Based Virtual Sensor for PM10 Monitoring

In this work, a virtual sensor for PM10 concentration monitoring is presented. The sensor is based on wavenet models and uses daily mean NO2 concentration and meteorological variables (wind speed and rainfall) as input. The methodology has been applied to the reconstruction of PM10 levels measured f...

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Veröffentlicht in:Electronics (Basel) 2021-09, Vol.10 (17), p.2111
Hauptverfasser: Carnevale, Claudio, Turrini, Enrico, Zeziola, Roberta, De Angelis, Elena, Volta, Marialuisa
Format: Artikel
Sprache:eng
Schlagworte:
Aerosols
Airborne particulates
Approximation
Atmospheric models
Bias
Humidity
Monitoring
Neural networks
Nitrogen dioxide
Pollutants
Rainfall
Sensors
Variables
Virtual sensors
Wind speed
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Beschreibung
Zusammenfassung:In this work, a virtual sensor for PM10 concentration monitoring is presented. The sensor is based on wavenet models and uses daily mean NO2 concentration and meteorological variables (wind speed and rainfall) as input. The methodology has been applied to the reconstruction of PM10 levels measured from 14 monitoring stations in Lombardy region (Italy). This region, usually affected by high levels of PM10, is a challenging benchmarking area for the implemented sensors. Neverthless, the performances are good with relatively low bias and high correlation.
ISSN:2079-9292
2079-9292
DOI:10.3390/electronics10172111