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Validation of low-cost sensors in field tests at Hyltemossa research station

Arasaki, Kazushi LU (2024) MAML10 20241
Ergonomics and Aerosol Technology
Abstract
DGEM (Devlabs, Copenhagen) is a small IoT product for air quality management
and can be equipped with various integrated low-cost small sensors and hardware
interfaces and provides comprehensive data collection capabilities. A one-month
field observation test was conducted with reference instruments at Hyltemossa
research station from 6th Dec. 2023 to 10th Jan. 2024 to validate this sensor before
these could be installed in a firefighter training ground in Revinge, Lund, for the
project to measure real-time air pollutants and build a network for work environment
assessment. DGEM monitored Mass and number concentrations of particulate
matter, CO, CO2, NO2, temperature, and relative humidity in this study. As a result,
PM1,... (More)
DGEM (Devlabs, Copenhagen) is a small IoT product for air quality management
and can be equipped with various integrated low-cost small sensors and hardware
interfaces and provides comprehensive data collection capabilities. A one-month
field observation test was conducted with reference instruments at Hyltemossa
research station from 6th Dec. 2023 to 10th Jan. 2024 to validate this sensor before
these could be installed in a firefighter training ground in Revinge, Lund, for the
project to measure real-time air pollutants and build a network for work environment
assessment. DGEM monitored Mass and number concentrations of particulate
matter, CO, CO2, NO2, temperature, and relative humidity in this study. As a result,
PM1, PM2.5, and PM4 showed very good correlations (R2= 0.974, 0.943 and 0.893
respectively). It was also suggested that the DGEM underestimated PM2.5 when
greater fractions of super-micron particles (presumably, sea salt particles) were
observed when air masses came from westerly, likely due to systematic bias related
to size-dependent detection efficiency, cut-off diameter, and difference in optical
and hygroscopic properties, as well as shape, of particles, whereas good agreement
were still observed for PM1. Mixing ratios of CO, CO2, and NO2 gases showed
similar temporal variations for specific time periods, but large drifts corresponding
to fluctuations of temperature and relative humidity were also observed. For
accurate monitoring of atmospheric environment, these errors should be reduced by
validating the performance of each sensor in advance by evaluating the influence of
meteorological parameters and aerosol properties on sensor outputs. (Less)
Please use this url to cite or link to this publication:
author
Arasaki, Kazushi LU
supervisor
organization
course
MAML10 20241
year
type
M2 - Bachelor Degree
subject
keywords
Low-cost sensor, air pollutants, field observation, validation and influence of environment
language
English
id
9150571
date added to LUP
2024-06-04 09:15:23
date last changed
2024-06-04 09:15:23
@misc{9150571,
  abstract     = {{DGEM (Devlabs, Copenhagen) is a small IoT product for air quality management 
and can be equipped with various integrated low-cost small sensors and hardware 
interfaces and provides comprehensive data collection capabilities. A one-month 
field observation test was conducted with reference instruments at Hyltemossa 
research station from 6th Dec. 2023 to 10th Jan. 2024 to validate this sensor before 
these could be installed in a firefighter training ground in Revinge, Lund, for the 
project to measure real-time air pollutants and build a network for work environment 
assessment. DGEM monitored Mass and number concentrations of particulate 
matter, CO, CO2, NO2, temperature, and relative humidity in this study. As a result, 
PM1, PM2.5, and PM4 showed very good correlations (R2= 0.974, 0.943 and 0.893 
respectively). It was also suggested that the DGEM underestimated PM2.5 when 
greater fractions of super-micron particles (presumably, sea salt particles) were 
observed when air masses came from westerly, likely due to systematic bias related 
to size-dependent detection efficiency, cut-off diameter, and difference in optical 
and hygroscopic properties, as well as shape, of particles, whereas good agreement 
were still observed for PM1. Mixing ratios of CO, CO2, and NO2 gases showed 
similar temporal variations for specific time periods, but large drifts corresponding 
to fluctuations of temperature and relative humidity were also observed. For 
accurate monitoring of atmospheric environment, these errors should be reduced by 
validating the performance of each sensor in advance by evaluating the influence of 
meteorological parameters and aerosol properties on sensor outputs.}},
  author       = {{Arasaki, Kazushi}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Validation of low-cost sensors in field tests at Hyltemossa research station}},
  year         = {{2024}},
}