Relations between indoor and outdoor PM2.5 and constituent concentrations

Cong Liu, Yinping Zhang

PDF(762 KB)
PDF(762 KB)
Front. Environ. Sci. Eng. ›› 2019, Vol. 13 ›› Issue (1) : 5. DOI: 10.1007/s11783-019-1089-4
FEATURE ARTICLE
FEATURE ARTICLE

Relations between indoor and outdoor PM2.5 and constituent concentrations

Author information +
History +

Highlights

Factors impacting indoor-outdoor relations are introduced.

Sulfate seems a fine tracer for other non-volatile species.

Particulate nitrate and ammonium desorb during outdoor-to-indoor transport.

OC load increases during the transport due to sorption of indoor SVOCs.

Abstract

Outdoor PM2.5 influences both the concentration and composition of indoor PM2.5. People spend over 80% of their time indoors. Therefore, to assess possible health effects of PM2.5 it is important to accurately characterize indoor PM2.5 concentrations and composition. Controlling indoor PM2.5 concentration is presently more feasible and economic than decreasing outdoor PM2.5 concentration. This study reviews modeling and measurements that address relationships between indoor and outdoor PM2.5 and the corresponding constituent concentrations. The key factors in the models are indoor-outdoor air exchange rate, particle penetration, and deposition. We compiled studies that report I/O ratios of PM2.5 and typical constituents (sulfate (SO42-), nitrate (NO3-), ammonium (NH4+), elemental carbon (EC), and organic carbon (OC), iron (Fe), copper (Cu), and manganese (Mn)). From these studies we conclude that: 1) sulfate might be a reasonable tracer of non-volatile species (EC, Fe, Cu, and Mn) and PM2.5 itself; 2) particulate nitrate and ammonium generally desorb to gaseous HNO3 and NH3 when they enter indoors, unless, as seldom happens, they have strong indoor sources; 3) indoor-originating semi-volatile organic compounds sorb on indoor PM2.5, thereby increasing the PM2.5 OC load. We suggest further studies on indoor-outdoor relationships of PM2.5 and constituents so as to help develop standards for healthy buildings.

Graphical abstract

Keywords

Indoor air quality / Exposure / SVOC / Reactive oxidative species / Oxidative potential / Chemical transport model

Cite this article

Download citation ▾
Cong Liu, Yinping Zhang. Relations between indoor and outdoor PM2.5 and constituent concentrations. Front. Environ. Sci. Eng., 2019, 13(1): 5 https://doi.org/10.1007/s11783-019-1089-4

References

[1]
Allen A G, Nemitz E, Shi J P, Harrison R M, Greenwood J C (2001). Size distributions of trace metals in atmospheric aerosols in the United Kingdom. Atmospheric Environment, 35(27): 4581–4591
CrossRef Google scholar
[2]
Allen R W, Adar S D, Avol E, Cohen M, Curl C L, Larson T, Liu L J S, Sheppard L, Kaufman J D (2012). Modeling the residential infiltration of outdoor PM2.5 in the multi-ethnic study of atherosclerosis and air pollution (MESA air). Environmental Health Perspectives, 120(6): 824–830
CrossRef Pubmed Google scholar
[3]
Alves C, Nunes T, Silva J, Duarte M (2013). Comfort parameters and particulate matter (PM10 and PM2.5) in school classrooms and outdoor air. Aerosol and Air Quality Research, 13(5): 1521–1535
CrossRef Google scholar
[4]
Andersen R, Fabi V, Toftum J, Corgnati S P, Olesen B W (2013). Window opening behaviour modelled from measurements in Danish dwellings. Building and Environment, 69: 101–113
CrossRef Google scholar
[5]
Andersen R V, Toftum J, Andersen K K, Olesen B W (2009). Survey of occupant behaviour and control of indoor environment in Danish dwellings. Energy and Building, 41(1): 11–16
CrossRef Google scholar
[6]
Azuma K, Uchiyama I, Uchiyama S, Kunugita N (2016). Assessment of inhalation exposure to indoor air pollutants: Screening for health risks of multiple pollutants in Japanese dwellings. Environmental Research, 145: 39–49
CrossRef Pubmed Google scholar
[7]
Barraza F, Jorquera H, Valdivia G, Montoya L D (2014). Indoor PM2.5 in Santiago, Chile, spring 2012: Source apportionment and outdoor contributions. Atmospheric Environment, 94: 692–700
CrossRef Google scholar
[8]
Baxter L K, Clougherty J E, Laden F, Levy J I (2007). Predictors of concentrations of nitrogen dioxide, fine particulate matter, and particle constituents inside of lower socioeconomic status urban homes. Journal of Exposure Science & Environmental Epidemiology, 17(5): 433–444
CrossRef Pubmed Google scholar
[9]
Bekö G, Gustavsen S, Frederiksen M, Bergsøe N C, Kolarik B, Gunnarsen L, Toftum J, Clausen G (2016). Diurnal and seasonal variation in air exchange rates and interzonal airflows measured by active and passive tracer gas in homes. Building and Environment, 104: 178–187
CrossRef Google scholar
[10]
Belis C A, Karagulian F, Larsen B R, Hopke P K (2013). Critical review and meta-analysis of ambient particulate matter source apportionment using receptor models in Europe. Atmospheric Environment, 69: 94–108
CrossRef Google scholar
[11]
Brauer M, Dumyahn T S, Spengler J D, Gutschmidt K, Heinrich J, Wichmann H E (1995). Measurement of acidic aerosol species in eastern Europe: Implications for air pollution epidemiology. Environmental Health Perspectives, 103(5): 482–488
CrossRef Pubmed Google scholar
[12]
Brook R D, Rajagopalan S, Pope C A 3rd, Brook J R, Bhatnagar A, Diez-Roux A V, Holguin F, Hong Y, Luepker R V, Mittleman M A, Peters A, Siscovick D, Smith S C Jr, Whitsel L, Kaufman J D, American Heart Association Council on Epidemiology and Prevention, Council on the Kidney in Cardiovascular Disease, and Council on Nutrition, Physical Activity and Metabolism (2010). Particulate matter air pollution and cardiovascular disease: An update to the scientific statement from the American Heart Association. Circulation, 121(21): 2331–2378
CrossRef Pubmed Google scholar
[13]
Buczyńska A J, Krata A, Van Grieken R, Brown A, Polezer G, De Wael K, Potgieter-Vermaak S (2014). Composition of PM2.5 and PM1 on high and low pollution event days and its relation to indoor air quality in a home for the elderly. Science of the Total Environment, 490: 134–143
CrossRef Pubmed Google scholar
[14]
Cao J, Mo J, Sun Z, Zhang Y (2018). Indoor particle age, a new concept for improving the accuracy of estimating indoor airborne SVOC concentrations, and applications. Building and Environment, 136: 88–97
CrossRef Google scholar
[15]
Cao S J, Kong X R, Li L, Zhang W, Ye Z P, Deng Y (2017). An investigation of the PM2.5 and NO2 concentrations and their human health impacts in the metro subway system of Suzhou, China. Environmental Science. Processes & Impacts, 19(5): 666–675
CrossRef Pubmed Google scholar
[16]
Chen C, Zhao B (2011). Review of relationship between indoor and outdoor particles: I/O ratio, infiltration factor and penetration factor. Atmospheric Environment, 45(2): 275–288
CrossRef Google scholar
[17]
Chen C, Zhao B, Weschler C J (2012). Assessing the influence of indoor exposure to “outdoor ozone” on the relationship between ozone and short-term mortality in U.S. communities. Environmental Health Perspectives, 120(2): 235–240
CrossRef Pubmed Google scholar
[18]
Chen S J, Lin T C, Tsai J H, Hsieh L T, Cho J Y (2013). Characteristics of indoor aerosols in college laboratories. Aerosol and Air Quality Research, 13(2): 649–661
CrossRef Google scholar
[19]
Chen Y, Xie S, Luo B (2018). Seasonal variations of transport pathways and potential sources of PM2.5 in Chengdu, China (2012–2013). Frontiers of Environmental Science & Engineering, 12(1): 12
[20]
Chithra V S, Nagendra S M S (2013). Chemical and morphological characteristics of indoor and outdoor particulate matter in an urban environment. Atmospheric Environment, 77: 579–587
CrossRef Google scholar
[21]
Chow J C, Lowenthal D H, Chen L W A, Wang X, Watson J G (2015). Mass reconstruction methods for PM2.5: A review. Air Quality, Atmosphere & Health, 8(3): 243–263
CrossRef Pubmed Google scholar
[22]
DeCarlo P F, Avery A M, Waring M S (2018). Thirdhand smoke uptake to aerosol particles in the indoor environment. Science Advances, 4(5): eaap8368
CrossRef Pubmed Google scholar
[23]
Diapouli E, Chaloulakou A, Koutrakis P (2013). Estimating the concentration of indoor particles of outdoor origin: A review. Journal of the Air & Waste Management Association, 63(10): 1113–1129
CrossRef Pubmed Google scholar
[24]
Donahue N M, Robinson A L, Stanier C O, Pandis S N (2006). Coupled partitioning, dilution, and chemical aging of semivolatile organics. Environmental Science & Technology, 40(8): 2635–2643
CrossRef Pubmed Google scholar
[25]
Ebelt S T, Wilson W E, Brauer M (2005). Exposure to ambient and nonambient components of particulate matter: A comparison of health effects. Epidemiology (Cambridge, Mass.), 16(3): 396–405
CrossRef Pubmed Google scholar
[26]
Fang T, Guo H, Zeng L, Verma V, Nenes A, Weber R J (2017a). Highly acidic ambient particles, soluble metals, and oxidative potential: a link between sulfate and aerosol toxicity. Environmental Science & Technology, 51(5): 2611–2620
CrossRef Pubmed Google scholar
[27]
Fang T, Zeng L, Gao D, Verma V, Stefaniak A B, Weber R J (2017b). Ambient size distributions and lung deposition of aerosol dithiothreitol-measured oxidative potential: Contrast between soluble and insoluble particles. Environmental Science & Technology, 51(12): 6802–6811
CrossRef Pubmed Google scholar
[28]
Feng Z, Zhou X, Xu S, Ding J, Cao S J (2018). Impacts of humidification process on indoor thermal comfort and air quality using portable ultrasonic humidifier. Building and Environment, 133: 62–72
CrossRef Google scholar
[29]
Fromme H, Diemer J, Dietrich S, Cyrys J, Heinrich J, Lang W, Kiranoglu M, Twardella D (2008). Chemical and morphological properties of particulate matter (PM10, PM2.5) in school classrooms and outdoor air. Atmospheric Environment, 42(27): 6597–6605
CrossRef Google scholar
[30]
Gauderman W J, Urman R, Avol E, Berhane K, McConnell R, Rappaport E, Chang R, Lurmann F, Gilliland F (2015). Association of improved air quality with lung development in children. The New England Journal of Medicine, 372(10): 905–913
CrossRef Pubmed Google scholar
[31]
GBD-2015-Mortality-and-Causes-of-Death-Collaborators (2016). Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980–2015: A systematic analysis for the Global Burden of Disease Study 2015. The Lancet, 388(10053): 1459–1544
[32]
Glasius M, Goldstein A H (2016). Recent discoveries and future challenges in atmospheric organic chemistry. Environmental Science & Technology, 50(6): 2754–2764
CrossRef Pubmed Google scholar
[33]
Habre R, Moshier E, Castro W, Nath A, Grunin A, Rohr A, Godbold J, Schachter N, Kattan M, Coull B, Koutrakis P (2014). The effects of PM2.5 and its components from indoor and outdoor sources on cough and wheeze symptoms in asthmatic children. Journal of Exposure Science & Environmental Epidemiology, 24(4): 380–387
CrossRef Pubmed Google scholar
[34]
Han Y J, Li X H, Zhu T L, Lv D, Chen Y, Hou L A, Zhang Y P, Ren M Z (2016). Characteristics and relationships between indoor and outdoor PM2.5 in Beijing: A residential apartment case study. Aerosol and Air Quality Research, 16(10): 2386–2395
CrossRef Google scholar
[35]
Hänninen O O, Lebret E, Ilacqua V, Katsouyanni K, Künzli N, Srám R J, Jantunen M (2004). Infiltration of ambient PM2.5 and levels of indoor generated non-ETS PM2.5 in residences of four European cities. Atmospheric Environment, 38(37): 6411–6423
CrossRef Google scholar
[36]
Hasheminassab S, Daher N, Shafer M M, Schauer J J, Delfino R J, Sioutas C (2014). Chemical characterization and source apportionment of indoor and outdoor fine particulate matter (PM2.5) in retirement communities of the Los Angeles Basin. Science of the Total Environment, 490: 528–537
CrossRef Pubmed Google scholar
[37]
Hassanvand M S, Naddafi K, Faridi S, Arhami M, Nabizadeh R, Sowlat M H, Pourpak Z, Rastkari N, Momeniha F, Kashani H, Gholampour A, Nazmara S, Alimohammadi M, Goudarzi G, Yunesian M (2014). Indoor/outdoor relationships of PM10, PM2.5, and PM1 mass concentrations and their water-soluble ions in a retirement home and a school dormitory. Atmospheric Environment, 82: 375–382
CrossRef Google scholar
[38]
Hering S V, Lunden M M, Thatcher T L, Kirchstetter T W, Brown N I (2007). Using regional data and building leakage to assess indoor concentrations of particles of outdoor origin. Aerosol Science and Technology, 41(7): 639–654
CrossRef Google scholar
[39]
Hodas N, Meng Q, Lunden M M, Rich D Q, Ozkaynak H, Baxter L K, Zhang Q, Turpin B J (2012). Variability in the fraction of ambient fine particulate matter found indoors and observed heterogeneity in health effect estimates. Journal of Exposure Science & Environmental Epidemiology, 22(5): 448–454
CrossRef Pubmed Google scholar
[40]
Hodas N, Turpin B J (2014). Shifts in the gas-particle partitioning of ambient organics with transport into the indoor environment. Aerosol Science and Technology, 48(3): 271–281
CrossRef Google scholar
[41]
Hopke P K (2016). Review of receptor modeling methods for source apportionment. Journal of the Air & Waste Management Association, 66(3): 237–259
CrossRef Pubmed Google scholar
[42]
Huang H, Zou C W, Cao J J, Tsang P K, Zhu F X, Yu C L, Xue S J (2012). Water-soluble Ions in PM2.5 on the Qianhu Campus of Nanchang University, Nanchang City: Indoor-outdoor distribution and source implications. Aerosol and Air Quality Research, 12(3): 435–443
CrossRef Google scholar
[43]
Ivey C E, Holmes H A, Hu Y, Mulholland J A, Russell A G (2016). A method for quantifying bias in modeled concentrations and source impacts for secondary particulate matter. Frontiers of Environmental Science & Engineering, 10(5): 14
CrossRef Google scholar
[44]
Ivey C E, Holmes H A, Hu Y T, Mulholland J A, Russell A G (2015). Development of PM2.5 source impact spatial fields using a hybrid source apportionment air quality model. Geoscientific Model Development, 8(7): 2153–2165
CrossRef Google scholar
[45]
Jan R, Roy R, Yadav S, Satsangi P G (2017). Exposure assessment of children to particulate matter and gaseous species in school environments of Pune, India. Building and Environment, 111: 207–217
CrossRef Google scholar
[46]
Ji W, Li H, Zhao B, Deng F (2018). Tracer element for indoor PM2.5 in China migrated from outdoor. Atmospheric Environment, 176: 171–178
CrossRef Google scholar
[47]
Ji W, Zhao B (2015). Estimating mortality derived from indoor exposure to particles of outdoor origin. PLoS One, 10(4): e0124238
CrossRef Pubmed Google scholar
[48]
John K, Karnae S, Crist K, Kim M, Kulkarni A (2007). Analysis of trace elements and ions in ambient fine particulate matter at three elementary schools in Ohio. Journal of the Air & Waste Management Association, 57(4): 394–406
CrossRef Pubmed Google scholar
[49]
Johnson A M, Waring M S, DeCarlo P F (2016). Real-time transformation of outdoor aerosol components upon transport indoors measured with aerosol mass spectrometry. Indoor Air, 27(1): 230–240
CrossRef Pubmed Google scholar
[50]
Klepeis N E, Nelson W C, Ott W R, Robinson J P, Tsang A M, Switzer P, Behar J V, Hern S C, Engelmann W H (2001). The National Human Activity Pattern Survey (NHAPS): A resource for assessing exposure to environmental pollutants. Journal of Exposure Analysis and Environmental Epidemiology, 11(3): 231–252
CrossRef Pubmed Google scholar
[51]
Klinmalee A, Srimongkol K, Kim Oanh N T (2009). Indoor air pollution levels in public buildings in Thailand and exposure assessment. Environmental Monitoring and Assessment, 156(1–4): 581–594
CrossRef Pubmed Google scholar
[52]
Koutrakis P, Briggs S L K, Leaderer B P (1992). Source apportionment of indoor aerosols in Suffolk and Onondaga counties, New York. Environmental Science & Technology, 26(3): 521–527
CrossRef Google scholar
[53]
Kroll J H, Seinfeld J H (2008). Chemistry of secondary organic aerosol: Formation and evolution of low-volatility organics in the atmosphere. Atmospheric Environment, 42(16): 3593–3624
CrossRef Google scholar
[54]
Kulshrestha A, Bisht D S, Masih J, Massey D, Tiwari S, Taneja A (2009). Chemical characterization of water-soluble aerosols in different residential environments of semi aridregion of India. Journal of Atmospheric Chemistry, 62(2): 121–138
CrossRef Google scholar
[55]
Lakey P S J, Berkemeier T, Tong H, Arangio A M, Lucas K, Pöschl U, Shiraiwa M (2016). Chemical exposure-response relationship between air pollutants and reactive oxygen species in the human respiratory tract. Scientific Reports, 6(1): 32916
CrossRef Pubmed Google scholar
[56]
Lazaridis M, Aleksandropoulou V, Hanssen J E, Dye C, Eleftheriadis K, Katsivela E (2008). Inorganic and carbonaceous components in indoor/outdoor particulate matter in two residential houses in Oslo, Norway. Journal of the Air & Waste Management Association, 58(3): 346–356
CrossRef Pubmed Google scholar
[57]
Leaderer B P, Naeher L, Jankun T, Balenger K, Holford T R, Toth C, Sullivan J, Wolfson J M, Koutrakis P (1999). Indoor, outdoor, and regional summer and winter concentrations of PM10, PM2.5, SO42-, H+, NH4+, NO3-, NH3, and nitrous acid in homes with and without kerosene space heaters. Environmental Health Perspectives, 107(3): 223–231
CrossRef Pubmed Google scholar
[58]
Lim S S, Vos T, Flaxman A D, Danaei G, Shibuya K, Adair-Rohani H, Amann M, Anderson H R, Andrews K G, Aryee M, Atkinson C, Bacchus L J, Bahalim A N, Balakrishnan K, Balmes J, Barker-Collo S, Baxter A, Bell M L, Blore J D, Blyth F, Bonner C, Borges G, Bourne R, Boussinesq M, Brauer M, Brooks P, Bruce N G, Brunekreef B, Bryan-Hancock C, Bucello C, Buchbinder R, Bull F, Burnett R T, Byers T E, Calabria B, Carapetis J, Carnahan E, Chafe Z, Charlson F, Chen H, Chen J S, Cheng A T, Child J C, Cohen A, Colson K E, Cowie B C, Darby S, Darling S, Davis A, Degenhardt L, Dentener F, Des Jarlais D C, Devries K, Dherani M, Ding E L, Dorsey E R, Driscoll T, Edmond K, Ali S E, Engell R E, Erwin P J, Fahimi S, Falder G, Farzadfar F, Ferrari A, Finucane M M, Flaxman S, Fowkes F G, Freedman G, Freeman M K, Gakidou E, Ghosh S, Giovannucci E, Gmel G, Graham K, Grainger R, Grant B, Gunnell D, Gutierrez H R, Hall W, Hoek H W, Hogan A, Hosgood H D 3rd, Hoy D, Hu H, Hubbell B J, Hutchings S J, Ibeanusi S E, Jacklyn G L, Jasrasaria R, Jonas J B, Kan H, Kanis J A, Kassebaum N, Kawakami N, Khang Y H, Khatibzadeh S, Khoo J P, Kok C, Laden F, Lalloo R, Lan Q, Lathlean T, Leasher J L, Leigh J, Li Y, Lin J K, Lipshultz S E, London S, Lozano R, Lu Y, Mak J, Malekzadeh R, Mallinger L, Marcenes W, March L, Marks R, Martin R, McGale P, McGrath J, Mehta S, Mensah G A, Merriman T R, Micha R, Michaud C, Mishra V, Mohd Hanafiah K, Mokdad A A, Morawska L, Mozaffarian D, Murphy T, Naghavi M, Neal B, Nelson P K, Nolla J M, Norman R, Olives C, Omer S B, Orchard J, Osborne R, Ostro B, Page A, Pandey K D, Parry C D, Passmore E, Patra J, Pearce N, Pelizzari P M, Petzold M, Phillips M R, Pope D, Pope C A 3rd, Powles J, Rao M, Razavi H, Rehfuess E A, Rehm J T, Ritz B, Rivara F P, Roberts T, Robinson C, Rodriguez-Portales J A, Romieu I, Room R, Rosenfeld L C, Roy A, Rushton L, Salomon J A, Sampson U, Sanchez-Riera L, Sanman E, Sapkota A, Seedat S, Shi P, Shield K, Shivakoti R, Singh G M, Sleet D A, Smith E, Smith K R, Stapelberg N J, Steenland K, Stöckl H, Stovner L J, Straif K, Straney L, Thurston G D, Tran J H, Van Dingenen R, van Donkelaar A, Veerman J L, Vijayakumar L, Weintraub R, Weissman M M, White R A, Whiteford H, Wiersma S T, Wilkinson J D, Williams H C, Williams W, Wilson N, Woolf A D, Yip P, Zielinski J M, Lopez A D, Murray C J, Ezzati M, AlMazroa M A, Memish Z A (2012). A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet, 380(9859): 2224–2260
CrossRef Pubmed Google scholar
[59]
Lippmann M, Chen L C, Gordon T, Ito K, Thurston G D (2013). National Particle Component Toxicity (NPACT) Initiative: Integrated Epidemiologic and Toxicologic Studies of the Health Effects of Particulate Matter Components. Boston, USA: Research Report Health Effect Institute
[60]
Liu C, Cai J, Qiao L, Wang H, Xu W, Li H, Zhao Z, Chen R, Kan H (2017a). The acute effects of fine particulate matter constituents on blood inflammation and coagulation. Environmental Science & Technology, 51(14): 8128–8137
CrossRef Pubmed Google scholar
[61]
Liu C, Cao J (2018). Potential role of intraparticle diffusion in dynamic partitioning of secondary organic aerosols. Atmospheric Pollution Research, 9(6): 1131–1136
CrossRef Google scholar
[62]
Liu C, Kolarik B, Gunnarsen L, Zhang Y (2015a). C-depth method to determine diffusion coefficient and partition coefficient of PCB in building materials. Environmental Science & Technology, 49(20): 12112–12119
CrossRef Pubmed Google scholar
[63]
Liu C, Liu Z, Little J C, Zhang Y (2013a). Convenient, rapid and accurate measurement of SVOC emission characteristics in experimental chambers. PLoS One, 8(8): e72445
CrossRef Pubmed Google scholar
[64]
Liu C, Shi S, Weschler C, Zhao B, Zhang Y (2013b). Analysis of the dynamic interaction between SVOCs and airborne particles. Aerosol Science and Technology, 47(2): 125–136
CrossRef Google scholar
[65]
Liu C, Zhang Y (2016). Characterizing the equilibrium relationship between DEHP in PVC flooring and air using a closed-chamber SPME method. Building and Environment, 95: 283–290
CrossRef Google scholar
[66]
Liu C, Zhang Y, Benning J L, Little J C (2015b). The effect of ventilation on indoor exposure to semivolatile organic compounds. Indoor Air, 25(3): 285–296
CrossRef Pubmed Google scholar
[67]
Liu C, Zhang Y, Weschler C J (2014). The impact of mass transfer limitations on size distributions of particle associated SVOCs in outdoor and indoor environments. Science of the Total Environment, 497– 498: 401–411
CrossRef Pubmed Google scholar
[68]
Liu C, Zhang Y, Weschler C J (2017b). Exposure to SVOCs from inhaled particles: Impact of desorption. Environmental Science & Technology, 51(11): 6220–6228
CrossRef Pubmed Google scholar
[69]
Liu D L, Nazaroff W W (2001). Modeling pollutant penetration across building envelopes. Atmospheric Environment, 35(26): 4451–4462
CrossRef Google scholar
[70]
Lomboy M, Quirit L L, Molina V B, Dalmacion G V, Schwartz J D, Suh H H, Baja E S (2015). Characterization of particulate matter 2.5 in an urban tertiary care hospital in the Philippines. Building and Environment, 92: 432–439
CrossRef Google scholar
[71]
López-Aparicio S, Smolík J, Mašková L, Součková M, Grøntoft T, Ondráčková L, Stankiewicz J (2011). Relationship of indoor and outdoor air pollutants in a naturally ventilated historical building envelope. Building and Environment, 46(7): 1460–1468
CrossRef Google scholar
[72]
Loupa G, Zarogianni A M, Karali D, Kosmadakis I, Rapsomanikis S (2016). Indoor/outdoor PM2.5 elemental composition and organic fraction medications, in a Greek hospital. Science of the Total Environment, 550: 727–735
CrossRef Pubmed Google scholar
[73]
Lu M, Lin B L, Inoue K, Lei Z, Zhang Z, Tsunemi K (2018). PM2.5-related health impacts of utilizing ammonia-hydrogen energy in Kanto Region, Japan. Frontiers of Environmental Science & Engineering, 12(2): 13
[74]
Lunden M M, Kirchstetter T W, Thatcher T L, Hering S V, Brown N J (2008). Factors affecting the indoor concentrations of carbonaceous aerosols of outdoor origin. Atmospheric Environment, 42(22): 5660–5671
CrossRef Google scholar
[75]
Lunden M M, Revzan K L, Fischer M L, Thatcher T L, Littlejohn D, Hering S V, Brown N J (2003). The transformation of outdoor ammonium nitrate aerosols in the indoor environment. Atmospheric Environment, 37(39–40): 5633–5644
CrossRef Google scholar
[76]
Ministry-of-Environment-Protection (2013). The Chinese Exposure Factors Handbook (Adults). Beijing, China Environmental Science Press (in Chinese)
[77]
Ministry of Housing and Urban-Rural Development of China (MOHURD), General Administration of Quality Supervision, Inspection and Quarantine of China (GAQSIQC) (2012). GB50736. Design code for heating ventilation and air conditioning of civil buildings. Beijing: Ministry of Housing and Urban-Rural Development of China, General Administration of Quality Supervision, Inspection and Quarantine of China (in Chinese)
[78]
Mohammed M O A, Song W W, Ma W L, Li W L, Ambuchi J J, Thabit M, Li Y F (2015). Trends in indoor-outdoor PM2.5 research: A systematic review of studies conducted during the last decade (2003–2013). Atmospheric Pollution Research, 6(5): 893–903
CrossRef Google scholar
[79]
Montagne D, Hoek G, Nieuwenhuijsen M, Lanki T, Pennanen A, Portella M, Meliefste K, Wang M, Eeftens M, Yli-Tuomi T, Cirach M, Brunekreef B (2014a). The association of LUR modeled PM2.5 elemental composition with personal exposure. Science of the Total Environment, 493: 298–306
CrossRef Pubmed Google scholar
[80]
Montagne D, Hoek G, Nieuwenhuijsen M, Lanki T, Siponen T, Portella M, Meliefste K, Brunekreef B (2014b). Temporal associations of ambient PM2.5 elemental concentrations with indoor and personal concentrations. Atmospheric Environment, 86: 203–211
CrossRef Google scholar
[81]
Morawska L, Afshari A, Bae G N, Buonanno G, Chao C Y H, Hänninen O, Hofmann W, Isaxon C, Jayaratne E R, Pasanen P, Salthammer T, Waring M, Wierzbicka A (2013). Indoor aerosols: From personal exposure to risk assessment. Indoor Air, 23(6): 462–487
CrossRef Pubmed Google scholar
[82]
Moreno T, Rivas I, Bouso L, Viana M, Jones T, Alvarez-Pedrerol M, Alastuey A, Sunyer J, Querol X (2014). Variations in school playground and classroom atmospheric particulate chemistry. Atmospheric Environment, 91: 162–171
CrossRef Google scholar
[83]
Nazaroff W W (2018a). The air around us. Indoor Air, 28(1): 3–5
CrossRef Pubmed Google scholar
[84]
Nazaroff W W (2018b). The particles around us. Indoor Air, 28(2): 215–217
CrossRef Pubmed Google scholar
[85]
Noullett M, Jackson P L, Brauer M (2010). Estimation and characterization of children’s ambient generated exposure to PM2.5 using sulphate and elemental carbon as tracers. Atmospheric Environment, 44(36): 4629–4637
CrossRef Google scholar
[86]
Pei J, Yin Y, Liu J (2016). Long-term indoor gas pollutant monitor of new dormitories with natural ventilation. Energy and Building, 129: 514–523
CrossRef Google scholar
[87]
Perrino C, Tofful L, Canepari S (2016). Chemical characterization of indoor and outdoor fine particulate matter in an occupied apartment in Rome, Italy. Indoor Air, 26(4): 558–570
CrossRef Pubmed Google scholar
[88]
Persily A, Musser A, Emmerich S J (2010). Modeled infiltration rate distributions for U.S. housing. Indoor Air, 20(6): 473–485
CrossRef Pubmed Google scholar
[89]
Persily A K (2016). Field measurement of ventilation rates. Indoor Air, 26(1): 97–111
CrossRef Pubmed Google scholar
[90]
Polidori A, Cheung K L, Arhami M, Delfino R J, Schauer J J, Sioutas C (2009). Relationships between size-fractionated indoor and outdoor trace elements at four retirement communities in southern California. Atmospheric Chemistry and Physics, 9(14): 4521–4536
CrossRef Google scholar
[91]
Pope C A 3rd, Dockery D W (2006). Health effects of fine particulate air pollution: Lines that connect. Journal of the Air & Waste Management Association, 56(6): 709–742
CrossRef Pubmed Google scholar
[92]
Riley W J, McKone T E, Lai A C K, Nazaroff W W (2002). Indoor particulate matter of outdoor origin: Importance of size-dependent removal mechanisms. Environmental Science & Technology, 36(2): 200–207
CrossRef Pubmed Google scholar
[93]
Rivas I, Viana M, Moreno T, Bouso L, Pandolfi M, Alvarez-Pedrerol M, Forns J, Alastuey A, Sunyer J, Querol X (2015). Outdoor infiltration and indoor contribution of UFP and BC, OC, secondary inorganic ions and metals in PM2.5 in schools. Atmospheric Environment, 106: 129–138
CrossRef Google scholar
[94]
Ruiz P A, Toro C, Cáceres J, López G, Oyola P, Koutrakis P (2010). Effect of gas and kerosene space heaters on indoor air quality: A study in homes of Santiago, Chile. Journal of the Air & Waste Management Association, 60(1): 98–108
CrossRef Pubmed Google scholar
[95]
Sajani S Z, Ricciardelli I, Trentini A, Bacco D, Maccone C, Castellazzi S, Lauriola P, Poluzzi V, Harrison R M (2015). Spatial and indoor/outdoor gradients in urban concentrations of ultrafine particles and PM2.5 mass and chemical components. Atmospheric Environment, 103: 307–320
CrossRef Google scholar
[96]
Salthammer T, Zhang Y, Mo J, Koch H M, Weschler C J (2018). Assessing human exposure to organic pollutants in the indoor environment. Angewandte Chemie International Edition, 57(38): 12228–12263
CrossRef Pubmed Google scholar
[97]
Sangiorgi G, Ferrero L, Ferrini B S, Lo Porto C, Perrone M G, Zangrando R, Gambaro A, Lazzati Z, Bolzacchini E (2013). Indoor airborne particle sources and semi-volatile partitioning effect of outdoor fine PM in offices. Atmospheric Environment, 65: 205–214
CrossRef Google scholar
[98]
Saraga D, Maggos T, Sadoun E, Fthenou E, Hassan H, Tsiouri V, Karavoltsos S, Sakellari A, Vasilakos C, Kakosimos K (2017). Chemical characterization of indoor and outdoor particulate matter (PM2.5, PM10) in Doha, Qatar. Aerosol and Air Quality Research, 17(5): 1156–1168
CrossRef Google scholar
[99]
Saraga D E, Maggos T, Helmis C G, Michopoulos J, Bartzis J G, Vasilakos C (2010). PM1 and PM2.5 ionic composition and VOCs measurements in two typical apartments in Athens, Greece: Investigation of smoking contribution to indoor air concentrations. Environmental Monitoring and Assessment, 167(1–4): 321–331
CrossRef Pubmed Google scholar
[100]
Saraga D E, Makrogkika A, Karavoltsos S, Sakellari A, Diapouli E, Eleftheriadis K, Vasilakos C, Helmis C, Maggos T (2015). A pilot investigation of PM indoor/outdoor mass concentration and chemical analysis during a period of extensive fireplace use in Athens. Aerosol and Air Quality Research, 15(7): 2485–2495
CrossRef Google scholar
[101]
Sarnat J A, Long C M, Koutrakis P, Coull B A, Schwartz J, Suh H H (2002). Using sulfur as a tracer of outdoor fine particulate matter. Environmental Science & Technology, 36(24): 5305–5314
CrossRef Pubmed Google scholar
[102]
Sarnat S E, Sarnat J A, Mulholland J, Isakov V, Özkaynak H, Chang H H, Klein M, Tolbert P E (2013). Application of alternative spatiotemporal metrics of ambient air pollution exposure in a time-series epidemiological study in Atlanta. Journal of Exposure Science & Environmental Epidemiology, 23(6): 593–605
CrossRef Pubmed Google scholar
[103]
Satsangi P G, Yadav S, Pipal A S, Kumbhar N (2014). Characteristics of trace metals in fine (PM2.5) and inhalable (PM10) particles and its health risk assessment along with in-silico approach in indoor environment of India. Atmospheric Environment, 92: 384–393
CrossRef Google scholar
[104]
Schweiker M, Haldi F, Shukuya M, Robinson D (2012). Verification of stochastic models of window opening behaviour for residential buildings. Journal of Building Performance Simulation, 5(1): 55–74
CrossRef Google scholar
[105]
See S W, Balasubramanian R (2006). Risk assessment of exposure to indoor aerosols associated with Chinese cooking. Environmental Research, 102(2): 197–204
CrossRef Pubmed Google scholar
[106]
See S W, Wang Y H, Balasubramanian R (2007). Contrasting reactive oxygen species and transition metal concentrations in combustion aerosols. Environmental Research, 103(3): 317–324
CrossRef Pubmed Google scholar
[107]
Seinfeld J H, Pankow J F (2003). Organic atmospheric particulate material. Annual Review of Physical Chemistry, 54(1): 121–140
CrossRef Pubmed Google scholar
[108]
Seleventi M K, Saraga D E, Helmis C G, Bairachtari K, Vasilakos C, Maggos T (2012). PM2.5 indoor/outdoor relationship and chemical composition in ions and OC/EC in an apartment in the center of Athens. Fresenius Environmental Bulletin, 21(11): 3177–3183
[109]
Shi S, Chen C, Zhao B (2015). Air infiltration rate distributions of residences in Beijing. Building and Environment, 92: 528–537
CrossRef Google scholar
[110]
Shi S, Chen C, Zhao B (2017). Modifications of exposure to ambient particulate matter: Tackling bias in using ambient concentration as surrogate with particle infiltration factor and ambient exposure factor. Environmental Pollution, 220(Pt A): 337–347
CrossRef Pubmed Google scholar
[111]
Shi S, Zhao B (2012). Comparison of the predicted concentration of outdoor originated indoor polycyclic aromatic hydrocarbons between a kinetic partition model and a linear instantaneous model for gas–particle partition. Atmospheric Environment, 59: 93–101
CrossRef Google scholar
[112]
Shi S, Zhao B (2016). Occupants’ interactions with windows in 8 residential apartments in Beijing and Nanjing, China. Building Simulation, 9(2): 221–231
CrossRef Google scholar
[113]
Song Y, Sun L, Wang X, Zhang Y, Wang H, Li R, Xue L, Chen J, Wang W (2018). Pollution characteristics of particulate matters emitted from outdoor barbecue cooking in urban Jinan in eastern China. Frontiers of Environmental Science & Engineering, 12(2): 14
[114]
Stanek L W, Sacks J D, Dutton S J, Dubois J J B (2011). Attributing health effects to apportioned components and sources of particulate matter: An evaluation of collective results. Atmospheric Environment, 45(32): 5655–5663
CrossRef Google scholar
[115]
Stevens C, Williams R, Jones P (2014). Progress on understanding spatial and temporal variability of PM2.5 and its components in the Detroit Exposure and Aerosol Research Study (DEARS). Environmental Science. Processes & Impacts, 16(1): 94–105
CrossRef Pubmed Google scholar
[116]
Suh H H, Koutrakis P, Spengler J D (1994). The relationship between airborne acidity and ammonia in indoor environments. Journal of Exposure Analysis and Environmental Epidemiology, 4(1): 1–22
Pubmed
[117]
Szymczak W, Menzel N, Keck L (2007). Emission of ultrafine copper particles by universal motors controlled by phase angle modulation. Journal of Aerosol Science, 38(5): 520–531
CrossRef Google scholar
[118]
Tofful L, Perrino C (2015). Chemical composition of indoor and outdoor PM2.5 in three schools in the city of Rome. Atmosphere, 6(10): 1422–1443
CrossRef Google scholar
[119]
Viana M, Rivas I, Querol X, Alastuey A, Sunyer J, Álvarez-Pedrerol M, Bouso L, Sioutas C (2014). Indoor/outdoor relationships and mass closure of quasi-ultrafine, accumulation and coarse particles in Barcelona schools. Atmospheric Chemistry and Physics, 14(9): 4459–4472
CrossRef Google scholar
[120]
Wallace L A, Emmerich S J, Howard-Reed C (2002). Continuous measurements of air change rates in an occupied house for 1 year: The effect of temperature, wind, fans, and windows. Journal of Exposure Analysis and Environmental Epidemiology, 12(4): 296–306
CrossRef Pubmed Google scholar
[121]
Wang J, Lai S, Ke Z, Zhang Y, Yin S, Zheng J (2014). Exposure assessment, chemical characterization and source identification of PM2.5 for school children and industrial downwind residents in Guangzhou, China. Environmental Geochemistry and Health, 36(3): 385–397
CrossRef Pubmed Google scholar
[122]
Wang L, Fu J S, Wei W, Wei Z, Meng C, Ma S, Wang J (2018). How aerosol direct effects influence the source contributions to PM2.5 concentrations over Southern Hebei, China in severe winter haze episodes. Frontiers of Environmental Science & Engineering, 12(3): 13
[123]
Wang L, Zhao B, Liu C, Lin H, Yang X, Zhang Y (2010). Indoor SVOC pollution in China: A review. Chinese Science Bulletin, 55(15): 1469–1478
CrossRef Google scholar
[124]
Wark K, Warner C F (1976). Air Pollution: Its Origin and Control. New York: Harper and Row Publishers
[125]
Weschler C J, Nazaroff W W (2008). Semivolatile organic compounds in indoor environments. Atmospheric Environment, 42(40): 9018–9040
CrossRef Google scholar
[126]
West J J, Cohen A, Dentener F, Brunekreef B, Zhu T, Armstrong B, Bell M L, Brauer M, Carmichael G, Costa D L, Dockery D W, Kleeman M, Krzyzanowski M, Künzli N, Liousse C, Lung S C C, Martin R V, Pöschl U, Pope C A 3rd, Roberts J M, Russell A G, Wiedinmyer C (2016). What we breathe impacts our health: Improving understanding of the link between air pollution and health. Environmental Science & Technology, 50(10): 4895–4904
CrossRef Pubmed Google scholar
[127]
Xie R, Sabel C E, Lu X, Zhu W, Kan H, Nielsen C P, Wang H (2016). Long-term trend and spatial pattern of PM2.5 induced premature mortality in China. Environment International, 97: 180–186
CrossRef Pubmed Google scholar
[128]
Xiong Q, Yu H, Wang R, Wei J, Verma V (2017). Rethinking the dithiothreitol (DTT) based PM oxidative potential: measuring DTT consumption versus ROS generation. Environmental Science & Technology, 51(11): 6507–6514
CrossRef Pubmed Google scholar
[129]
Yamamoto N, Shendell D G, Winer A M, Zhang J (2010). Residential air exchange rates in three major US metropolitan areas: Results from the relationship among indoor, outdoor, and personal air study 1999–2001. Indoor Air, 20(1): 85–90
CrossRef Pubmed Google scholar
[130]
Yan D, O’Brien W, Hong T, Feng X, Burak Gunay H, Tahmasebi F, Mahdavi A (2015). Occupant behavior modeling for building performance simulation: Current state and future challenges. Energy and Building, 107(Supplement C): 264–278
CrossRef Google scholar
[131]
Zhang J M, Chen J M, Yang L X, Sui X, Yao L, Zheng L F, Wen L, Xu C H, Wang W X (2014). Indoor PM2.5 and its chemical composition during a heavy haze-fog episode at Jinan, China. Atmospheric Environment, 99: 641–649
CrossRef Google scholar
[132]
Zhou X, Cai J, Zhao Y, Chen R, Wang C, Zhao A, Yang C, Li H, Liu S, Cao J, Kan H, Xu H (2018). Estimation of residential fine particulate matter infiltration in Shanghai, China. Environmental Pollution, 233: 494–500
CrossRef Pubmed Google scholar
[133]
Zhu C S, Cao J J, Shen Z X, Liu S X, Zhang T, Zhao Z Z, Xu H M, Zhang E K (2012). Indoor and outdoor chemical components of PM2.5 in the rural areas of Northwestern China. Aerosol and Air Quality Research, 12(6): 1157–1165
CrossRef Google scholar
[134]
Zhu Y H, Yang L X, Meng C P, Yuan Q, Yan C, Dong C, Sui X, Yao L, Yang F, Lu Y L, Wang W X (2015). Indoor/outdoor relationships and diurnal/nocturnal variations in water-soluble ion and PAH concentrations in the atmospheric PM2.5 of a business office area in Jinan, a heavily polluted city in China. Atmospheric Research, 153: 276–285
CrossRef Google scholar

Acknowledgements

This work was supported by the National Key Research and Development Program of China (No. 2017YFC0702700) and the Nature Science Foundation of China (Grant Nos. 51420105010 and 51808107). We thank Louise B. Weschler for English editing.

Electronic Supplementary Material

Supplementary material is available in the online version of this article at https://doi.org/10.1007/s11783-019-1089-4 and is accessible for authorized users.

RIGHTS & PERMISSIONS

2019 Higher Education Press and Springer–Verlag GmbH Germany, part of Springer Nature
AI Summary AI Mindmap
PDF(762 KB)

Accesses

Citations

Detail

Sections
Recommended

/