TY - BOOK ID - 136701756 TI - Indoor Air Quality PY - 2020 PB - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat KW - perceived indoor air quality KW - building research KW - indoor air questionnaires KW - psychosocial work environment KW - categorisation KW - ventilation KW - mould KW - moisture KW - man-made mineral fibres KW - IAQ KW - enhanced living environments KW - IEQ KW - IoT KW - smart cities KW - LEC KW - passive space design KW - tubular space KW - physical building environment KW - fieldwork test KW - subway station building complex KW - thermal comfort KW - arousal level KW - physiological indices KW - electroencephalography KW - electrocardiography KW - airborne microorganisms KW - bacteria KW - fungi KW - gyms KW - indoor air quality KW - libraries KW - offices KW - contactless measurements KW - skin sensitivity index KW - subtleness magnification KW - deep learning KW - piecewise stationary time series KW - PM2.5 KW - sensor KW - correction KW - pan frying KW - secondhand smoke KW - urban traffic KW - allergens KW - endotoxin KW - biological agents KW - laboratory animal allergy KW - environmental monitoring KW - occupational exposure KW - perceived comfort KW - sick building syndrome KW - health effects KW - internet of things KW - e-nose KW - smart home KW - ESP32 KW - teenagers KW - children KW - bedroom KW - CO2 KW - particulate matter KW - perception KW - response behavior KW - psychological attribute KW - indoor environment quality KW - PPD KW - TVOC KW - BREEAM assessment KW - occupant satisfaction KW - children’s house KW - industrial city KW - window opening KW - cooking KW - STAMP KW - STPA KW - physical process KW - indoor environment safety KW - smart home systems KW - IAQ improvement KW - photo-paint KW - NO KW - Toluene degradation KW - n/a KW - children's house UR - https://www.unicat.be/uniCat?func=search&query=sysid:136701756 AB - The monitoring of indoor air pollutants in a spatio-temporal basis is challenging. A key element is the access to local (i.e., indoor residential, workplace, or public building) exposure measurements. Unfortunately, the high cost and complexity of most current air pollutant monitors result in a lack of detailed spatial and temporal resolution. As a result, individuals in vulnerable groups (children, pregnant, elderly, and sick people) have little insight into their personal exposure levels. This becomes significant in cases of hyper-local variations and short-term pollution events such as instant indoor activity (e.g., cooking, smoking, and dust resuspension). Advances in sensor miniaturization have encouraged the development of small, inexpensive devices capable of estimating pollutant concentrations. This new class of sensors presents new possibilities for indoor exposure monitoring. This Special Issue invites research in the areas of the triptych: indoor air pollution monitoring, indoor air modeling, and exposure to indoor air pollution. Topics of interest for the Special Issue include, but are not limited to, the following: low-cost sensors for indoor air monitoring; indoor particulate matter and volatile organic compounds; ozone-terpene chemistry; biological agents indoors; source apportionment; exposure assessment; health effects of indoor air pollutants; occupant perception; climate change impacts on indoor air quality. ER -