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The aim of this project is to investigate and predict the quantified effect of indoor environment on pupils’ health in schools in Norway during the COVID-19 pandemic. The results are based on field measurements of the indoor environment in a Norwegian school. In addition, a survey (Mitt Inneklima) from NAAF was given to the pupils, and the result was investigated by using a machine learning model. From the field measurements it was found that the indoor temperature was generally too high, the relative humidity was too low, and the CO2- concentration was typically below 1000 ppm. The survey shows that more pupils are experiencing various indoor climate problems every week compared to the reference school for almost all of the parameters. By using machine learning, it is found that Too hot is an important feature for 11 of the 12 health problems, while Dry air is an important feature for nine of them.
2021
This study aimed to assess whether building materials,
furniture, and user equipment are sources of pollution
that would influence the need for ventilation. Between
2017-2020, measurements were taken in four regular
classrooms in a low emitting school and four modular
classrooms in a prefabricated school. Weekly passive
sampling of volatile organic compounds (VOCs) and
aldehydes were carried out in the classrooms under
the following four conditions: 1) emptied, 2) furnished,
3) with furniture and user equipment, and 4) during
normal use. For the first three conditions, the
classrooms were measured with either no ventilation
or "low" airflow rates. Total VOC (TVOC)
concentrations were up to ten times higher in the
unventilated classroom at the prefabricated school
compared to classrooms at the low emitting school
(<450 µg/m3 for conditions 1-2). Our results show the
importance of selecting low emitting building
materials and proper ventilation.
2021
2020
2020
2020
2020
Review on the methodology supporting the health impact assessment by the European Environment Agency
2020