Improving data quality of low-cost light-scattering pm sensors: toward automatic air quality monitoring in urban environments

HIGHLIGHTS

• What: This work proposes a data processing pipeline for improving the data quality of LCPM sensors.
• Who: Gustavo Ramirez-Espinosa and colleagues from the (UNIVERSITY) have published the research: Improving Data Quality of Low-Cost Light-Scattering PM Sensors: Towards Automatic Air Quality Monitoring in Urban Environments, in the Journal: (JOURNAL)
• How: The authors conducted a year-long experiment by positioning 56 LCPM sensors divided into 14 low-cost monitoring stations near the inlet of an official monitoring device. In the following step sensor calibration is carried out via a Multivariate Liner Regression . . .
  

   

  

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