Modelling indoor air quality: validation and sensitivity
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The main objective of this work is to extend the knowledge of indoor air quality by using a numerical tool to calculate the concentrations of pollutants in the indoor air of a classroom. The application of a numerical model allowed to quantitatively assess the impact of several proposed improvement measures, through the simulation of scenarios.
The numerical model CONTAM was used to characterise the indoor air quality in a classroom of an elementary school, in terms of concentrations of carbon dioxide, carbon monoxide and particulate matter. The results of the CONTAM simulations were compared to measurements performed during monitoring campaigns (SINPHONIE project). The simulated and measured carbon dioxide and carbon monoxide concentrations inside the classroom are in good agreement. Furthermore, for particulate matter, simulated values show a significant difference from measured values, which are higher overall. With the goal of maximising the indoor air quality of the classroom, several alternative scenarios were simulated. The door and windows of the classroom were opened or closed at different times for each scenario. The scenario promoting the best indoor air quality (i.e. with the lowest concentrations of carbon dioxide and carbon monoxide) is the one in which the door is only open to allow students to get in and out of the room, and the window is kept half-open during the entire day.
KeywordsIndoor air quality Modelling CONTAM Schools Human health
Thanks are due, for the financial support, to CESAM (UID/AMB/50017), to FCT/MEC through national funds, and the co-funding by the FEDER (POCI-01-0145-FEDER-007638), within the PT2020 Partnership Agreement and Compete 2020. The authors are also grateful to the Directorate General for Health and Consumer Affairs (DG SANCO) for funding the SINPHONIE project.
- Alves C, Nunes T, Silva J, Duarte M (2013) Comfort parameters and particulate matter (PM10 and PM2.5) in school classrooms and outdoor air. Aerosol Air Qual Res 13:1521–1535Google Scholar
- Borrego C, Tchepel O (2000) Quality assurance/quality control in atmospheric modelling. Proceedings of the International IGBP Seminar on “Global Change: Biophysical and Socio-economical Impact”, Aveiro, PortugalGoogle Scholar
- Dols W S, Polidoro B J (2015) CONTAM user guide and program documentation—version 3.2 (NIST Technical Note 1887)Google Scholar
- Gallego E, Roca X, Perales JF, Guardino X (2009) Determining indoor air quality and identifying the origin of odour episodes in indoor environments. J Environ Sci 21:333–339Google Scholar
- Geiss O, Tirendi S, Bernasconi C, Barrero J, Gotti A, Cimino-reale G, Casati B, Marafante E, Sarigiannis D (2008) European Parliament Pilot Project on Exposure to Indoor Air Chemicals and Possible Health Risks Final Report. European Commission, Joint Research Centre, Institute for Health and Consumer Protection. ISBN 978-92-79-08184-2Google Scholar
- Guo Z (2000) Simulation Tool Kit for Indoor Air Quality and Inhalation Exposure (Iaqx) Version 1.0 User’s GuideGoogle Scholar
- Jardim D, Diegues P, Santiago A, Matias P, Reis V, Matos J, Anacleto T, Cano M, Nogueira A, Capucho M, Gomes P, Francisco S (2015) Metodologia de avaliação da qualidade do ar interior em edifícios de comércio e serviços no âmbito da Portaria 353-A / 2013. Agência Portuguesa do Ambiente and Direção Geral da SaúdeGoogle Scholar
- RCESE (2006) Regulamento dos Sistemas Energéticos de Climatização de Edifícios (National System for Energy and Indoor Air Quality Certification of Buildings). Decreto-Lei n° 79/2006, Ministério das Obras Públicas, Transportes e Comunicações, PortugalGoogle Scholar
- Santos J C (2010) Avaliação da Qualidade do ar interior em jardins-de-infância. Dissertação apresentada para obtenção do grau de Mestre em Engenharia de Segurança e Higiene Ocupacionais da Engenharia da Universidade do PortoGoogle Scholar
- Schweizer C, Edwards R, Bayer-Oglesby L, Gauderman W, Ilacqua V, Jantunen MJ, Lai H, Nieuwenhuijsen M, Künzli N (2007) Indoor time-microenvironment-activity patterns in seven regions of Europe. J Expo Sci Environ Epidemiol 17(2):170–181Google Scholar
- Solomon P, Costantini M, Grahame J, Gerlofs-Nijland M, Cassee F, Russell A, Brook J, Hopke P, Hidy G, Phalen R, Saldiva P, Sarnat S, Balmes J, Tager I, Özkaynak H, Vedal S, Wierman S, Costa D (2012) Air pollution and health: bridging the gap from sources to health outcomes: conference summary. Air Qual Atmos Health 5(1):9–62CrossRefGoogle Scholar
- USEPA (1989) Report to Congress on indoor air quality. Volume 2: assessment and control of indoor air pollution. Washington, D.CGoogle Scholar
- WHO (2010) Guidelines for Indoor Air Quality. Selected Pollutants. World Health Organization Regional Office for Europe (Vol. 9), ISBN 9789289002134, Copenhagen, DenmarkGoogle Scholar