Can CO2 sensors in the ventilation system of a pool facility help reduce the variability in the trihalomethane concentration observed in indoor air?

•Volatile trihalomethanes (tTHM) are formed during chlorination of pool water.•No senor for monitoring exposure concentrations of trihalomethanes exists.•CO2 sensors may reduce the variability observed in THM.•CO2 sensors may create a more dynamic air supply, corresponding to the user need. Volatile...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Environment international 2020-05, Vol.138, p.105665, Article 105665
Hauptverfasser: Nitter, Therese B., Grande, Morten S., Svendsen, Kristin V.H., Jørgensen, Rikke B., Carlucci, Salvatore, Cao, Guangyu
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:•Volatile trihalomethanes (tTHM) are formed during chlorination of pool water.•No senor for monitoring exposure concentrations of trihalomethanes exists.•CO2 sensors may reduce the variability observed in THM.•CO2 sensors may create a more dynamic air supply, corresponding to the user need. Volatile and hazardous compounds are formed during the chlorination of pool water. Monitoring components in the air, such as the four trihalomethanes; chloroform, dichlorobromomethane, dibromochloromethane and bromoform (tTHM), is challenging. Carbon dioxide (CO2) sensors are used for controlling air quality in different buildings and can be installed in ventilation systems for continuous surveillance and monitoring purposes. However, such sensors are not used in indoor swimming facilities. In this study, samples of tTHM and CO2 were collected and analysed, along with other air and water quality parameters such as combined chlorine, to evaluate whether CO2 sensors could be used to explain the observed variability in the tTHM concentration in an indoor swimming facility and thereby reduce the exposure of individuals utilising the pool to tTHM. Random intercept models were built for the tTHM and CO2 concentrations, respectively, and the results show that the relationships between combined chlorine in the water, CO2 in the air and number of occupants explain 52% of the variability in tTHM. The correlation between occupancy and CO2 concentration (ρ = 0.65, p ≤ 0.01) suggests that CO2 sensors should be used so that the air supply corresponds to the demand of the users.
ISSN:0160-4120
1873-6750
DOI:10.1016/j.envint.2020.105665