1 |
Sarnat SE, Coull BA, Schwartz J, Gold DR, Suh HH. Factors affecting the association between ambient concentrations and personal exposures to particles and gases. Environmental Health Perspectives. 2006; 114(5): 649-54.
|
2 |
Lee K, Sohn H, Putti K. In-vehicle exposures to particulate matter and black carbon. Journal of the Air & Waste Management Association. 2010; 60(2): 130-136.
DOI
|
3 |
Dons E, Panis LI, Van Poppel M, Theunis J, Willems H, Torfs R, et al. Impact of time-activity patterns on personal exposure to black carbon. Atmospheric Environment. 2011; 45(21): 3594-3602.
DOI
|
4 |
Buonanno G, Stabile L, Morawska L. Personal exposure to ultrafine particles: the influence of time-activity patterns. Science of the Total Environment. 2014; 468-469: 903-907.
DOI
|
5 |
Lim S, Kim J, Kim T, Lee K, Yang W, Jun S, et al. Personal exposures to and their relationships with microenvironmental concentrations. Atmospheric Environment. 2012; 47: 407-412.
DOI
|
6 |
National Institute of Environmental Research (NIER). Research for personal exposure assessment by time activity patterns on a nation. Korea National Institute of Environmental Research. 2010.
|
7 |
Querol X, Alastuey A, Moreno T, Viana M, Castillo S, Pey J, et al. Spatial and temporal variations in airborne particulate matter ( and ) across Spain 1999-2005. Atmospheric Environment. 2008; 42(17): 3964-3979.
DOI
|
8 |
Dionisio KL, Arku RE, Hughes AF, Vallarino J, Carmichael H, Spengler JD, et al. Air pollution in Accra neighborhoods: spatial, socioeconomic, and temporal patterns. Environmental Science & Technology. 2010; 44(7): 2270-2276.
DOI
|
9 |
Baxter LK, Burke J, Lunden M, Turpin BJ, Rich DQ, Thevenet-Morrison K, et al. Influence of human activity patterns, particle composition, and residential air exchange rates on modeled distributions of exposure compared with central-site monitoring data. Journal of Exposure Science and Environmental Epidemiology. 2013; 23(3): 241-247.
DOI
|
10 |
Qu W, Arimoto R, Zhang X, Zhao C, Wang Y, Sheng L, et al. Spatial distribution and interannual variation of surface PM 10 concentrations over eighty-six Chinese cities. Atmospheric Chemistry and Physics. 2010; 10(12): 5641-5662.
DOI
|
11 |
Pinto JP, Lefohn AS, Shadwick DS. Spatial variability of PM2. 5 in urban areas in the United States. Journal of the Air & Waste Management Association. 2004; 54(4): 440-449.
DOI
|
12 |
Brasche S, Bischof W. Daily time spent indoors in German homes-baseline data for the assessment of indoor exposure of German occupants. International Journal of Hygiene and Environmental Health. 2005; 208(4): 247-253.
DOI
|
13 |
Schweizer C, Edwards RD, Bayer-Oglesby L, Gauderman WJ, Ilacqua V, Jantunen MJ, et al. Indoor time-microenvironment-activity patterns in seven regions of Europe. Journal of Exposure Science and Environmental Epidemiology. 2007; 17(2): 170-181.
DOI
|
14 |
Diez Roux AV, Auchincloss AH, Dvonch JT, Brown PL, Barr RG, Daviglus ML, et al. Associations between recent exposure to ambient fine particulate matter and blood pressure in the Multi-Ethnic Study of Atherosclerosis. Environmental Health Perspectives Online. 2008.
|
15 |
Kim T, Lee K, Yang W, Do Yu S. A new analytical method for the classification of time-location data obtained from the global positioning system (GPS). Journal of Environmental Monitoring. 2012; 14(8): 2270-2274.
DOI
|
16 |
Adgate JL, Ramachandran G, Pratt G, Waller L, Sexton K. Spatial and temporal variability in outdoor, indoor, and personal exposure. Atmospheric Environment. 2002; 36(20): 3255-3265.
DOI
|
17 |
Olsen DA, Burke JM. Distributions of PM2.5 source strengths for cooking from the research triangle park particulate matter panel study. Environmental Science & Technology. 2006; 40: 163-169.
DOI
|
18 |
Wallace L, Williams R, Rea A, Croghan C. Continuous weeklong measurements of personal exposures and indoor concentrations of fine particles for 37 health-impaired North Carolina residents for up to four seasons. Atmospheric Environment. 2006; 40: 7659-7660.
DOI
|