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Indoor Air Quality



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Autore: Saraga Dikaia E Visualizza persona
Titolo: Indoor Air Quality Visualizza cluster
Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica: 1 electronic resource (298 p.)
Soggetto topico: Research & information: general
Environmental economics
Soggetto non controllato: perceived indoor air quality
building research
indoor air questionnaires
psychosocial work environment
categorisation
ventilation
mould
moisture
man-made mineral fibres
IAQ
enhanced living environments
IEQ
IoT
smart cities
LEC
passive space design
tubular space
physical building environment
fieldwork test
subway station building complex
thermal comfort
arousal level
physiological indices
electroencephalography
electrocardiography
airborne microorganisms
bacteria
fungi
gyms
indoor air quality
libraries
offices
contactless measurements
skin sensitivity index
subtleness magnification
deep learning
piecewise stationary time series
PM2.5
sensor
correction
pan frying
secondhand smoke
urban traffic
allergens
endotoxin
biological agents
laboratory animal allergy
environmental monitoring
occupational exposure
perceived comfort
sick building syndrome
health effects
internet of things
e-nose
smart home
ESP32
teenagers
children
bedroom
CO2
particulate matter
perception
response behavior
psychological attribute
indoor environment quality
PPD
TVOC
BREEAM assessment
occupant satisfaction
children's house
industrial city
window opening
cooking
STAMP
STPA
physical process
indoor environment safety
smart home systems
IAQ improvement
photo-paint
NO
Toluene degradation 
Persona (resp. second.): SaragaDikaia E
Sommario/riassunto: 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.
Titolo autorizzato: Indoor Air Quality  Visualizza cluster
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910557296003321
Lo trovi qui: Univ. Federico II
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