Validation of low-cost sensors in field tests at Hyltemossa research station
(2024) MAML10 20241Ergonomics 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:
http://lup.lub.lu.se/student-papers/record/9150571
- author
- Arasaki, Kazushi LU
- supervisor
- organization
- course
- MAML10 20241
- year
- 2024
- 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}}, }