TY - JOUR
T1 - Real-time sensors for indoor air monitoring and challenges ahead in deploying them to urban buildings
AU - Kumar, Prashant
AU - Skouloudis, Andreas N.
AU - Bell, Margaret
AU - Viana, Mar
AU - Carotta, M. Cristina
AU - Biskos, George
AU - Morawska, Lidia
PY - 2016/8/1
Y1 - 2016/8/1
N2 - Household air pollution is ranked the 9th largest Global Burden of Disease risk (Forouzanfar et al., The Lancet 2015). People, particularly urban dwellers, typically spend over 90% of their daily time indoors, where levels of air pollution often surpass those of outdoor environments. Indoor air quality (IAQ) standards and approaches for assessment and control of indoor air require measurements of pollutant concentrations and thermal comfort using conventional instruments. However, the outcomes of such measurements are usually averages over long integrated time periods, which become available after the exposure has already occurred. Moreover, conventional monitoring is generally incapable of addressing temporal and spatial heterogeneity of indoor air pollution, or providing information on peak exposures that occur when specific indoor sources are in operation. This article provides a review of new air pollution sensing methods to determine IAQ and discusses how real-time sensing could bring a paradigm shift in controlling the concentration of key air pollutants in billions of urban houses worldwide. We also show that besides the opportunities, challenges still remain in terms of maturing technologies, or data mining and their interpretation. Moreover, we discuss further research and essential development needed to close gaps between what is available today and needed tomorrow. In particular, we demonstrate that awareness of IAQ risks and availability of appropriate regulation are lagging behind the technologies.
AB - Household air pollution is ranked the 9th largest Global Burden of Disease risk (Forouzanfar et al., The Lancet 2015). People, particularly urban dwellers, typically spend over 90% of their daily time indoors, where levels of air pollution often surpass those of outdoor environments. Indoor air quality (IAQ) standards and approaches for assessment and control of indoor air require measurements of pollutant concentrations and thermal comfort using conventional instruments. However, the outcomes of such measurements are usually averages over long integrated time periods, which become available after the exposure has already occurred. Moreover, conventional monitoring is generally incapable of addressing temporal and spatial heterogeneity of indoor air pollution, or providing information on peak exposures that occur when specific indoor sources are in operation. This article provides a review of new air pollution sensing methods to determine IAQ and discusses how real-time sensing could bring a paradigm shift in controlling the concentration of key air pollutants in billions of urban houses worldwide. We also show that besides the opportunities, challenges still remain in terms of maturing technologies, or data mining and their interpretation. Moreover, we discuss further research and essential development needed to close gaps between what is available today and needed tomorrow. In particular, we demonstrate that awareness of IAQ risks and availability of appropriate regulation are lagging behind the technologies.
KW - Air quality sensing
KW - Gas sensors
KW - Human exposure
KW - Indoor air quality
KW - Low cost instrument
KW - Urban buildings
UR - http://www.scopus.com/inward/record.url?scp=84964669344&partnerID=8YFLogxK
U2 - 10.1016/j.scitotenv.2016.04.032
DO - 10.1016/j.scitotenv.2016.04.032
M3 - Article
AN - SCOPUS:84964669344
SN - 0048-9697
VL - 560-561
SP - 150
EP - 159
JO - Science of the Total Environment
JF - Science of the Total Environment
ER -