LEADER 05127nam 2201333z- 450 001 9910557296003321 005 20231214133435.0 035 $a(CKB)5400000000041079 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/69389 035 $a(EXLCZ)995400000000041079 100 $a20202105d2020 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIndoor Air Quality 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2020 215 $a1 electronic resource (298 p.) 311 $a3-03943-703-8 311 $a3-03943-704-6 330 $aThe 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. 606 $aResearch & information: general$2bicssc 606 $aEnvironmental economics$2bicssc 610 $aperceived indoor air quality 610 $abuilding research 610 $aindoor air questionnaires 610 $apsychosocial work environment 610 $acategorisation 610 $aventilation 610 $amould 610 $amoisture 610 $aman-made mineral fibres 610 $aIAQ 610 $aenhanced living environments 610 $aIEQ 610 $aIoT 610 $asmart cities 610 $aLEC 610 $apassive space design 610 $atubular space 610 $aphysical building environment 610 $afieldwork test 610 $asubway station building complex 610 $athermal comfort 610 $aarousal level 610 $aphysiological indices 610 $aelectroencephalography 610 $aelectrocardiography 610 $aairborne microorganisms 610 $abacteria 610 $afungi 610 $agyms 610 $aindoor air quality 610 $alibraries 610 $aoffices 610 $acontactless measurements 610 $askin sensitivity index 610 $asubtleness magnification 610 $adeep learning 610 $apiecewise stationary time series 610 $aPM2.5 610 $asensor 610 $acorrection 610 $apan frying 610 $asecondhand smoke 610 $aurban traffic 610 $aallergens 610 $aendotoxin 610 $abiological agents 610 $alaboratory animal allergy 610 $aenvironmental monitoring 610 $aoccupational exposure 610 $aperceived comfort 610 $asick building syndrome 610 $ahealth effects 610 $ainternet of things 610 $ae-nose 610 $asmart home 610 $aESP32 610 $ateenagers 610 $achildren 610 $abedroom 610 $aCO2 610 $aparticulate matter 610 $aperception 610 $aresponse behavior 610 $apsychological attribute 610 $aindoor environment quality 610 $aPPD 610 $aTVOC 610 $aBREEAM assessment 610 $aoccupant satisfaction 610 $achildren's house 610 $aindustrial city 610 $awindow opening 610 $acooking 610 $aSTAMP 610 $aSTPA 610 $aphysical process 610 $aindoor environment safety 610 $asmart home systems 610 $aIAQ improvement 610 $aphoto-paint 610 $aNO 610 $aToluene degradation  615 7$aResearch & information: general 615 7$aEnvironmental economics 700 $aSaraga$b Dikaia E$4edt$01297558 702 $aSaraga$b Dikaia E$4oth 906 $aBOOK 912 $a9910557296003321 996 $aIndoor Air Quality$93024543 997 $aUNINA