BibTex format

author = {Dons, E and Laeremans, M and Orjuela, JP and Avila-Palencia, I and de, Nazelle A and Nieuwenhuijsene, M and Van, Poppel M and Carrasco-Turigas, G and Standaert, A and De, Boever P and Nawrot, T and Panis, LI},
doi = {10.1016/j.atmosenv.2019.06.035},
journal = {Atmospheric Environment},
pages = {424--432},
title = {Transport most likely to cause air pollution peak exposures in everyday life: Evidence from over 2000 days of personal monitoring},
url = {},
volume = {213},
year = {2019}

RIS format (EndNote, RefMan)

AB - BackgroundAir quality standards are typically based on long term averages – whereas a person may encounter exposure peaks throughout the day. Exposure peaks may contribute meaningfully to health impacts beyond their contribution to long term averages, and therefore should be considered alongside longer-term exposures. We aim to define and explain peak exposure to black carbon air pollution and look at the relationship between short peak exposures and longer term personal exposure.MethodsA peak detection algorithm was applied to pooled data from two independent studies. High-resolution personal black carbon monitoring was performed in 175 healthy adult volunteers for a minimum of two 24-h periods per person. At the same time, we retrieved information on the time-activity pattern. Data covered Belgium, Spain, and the United Kingdom. In total, 2053 monitoring days were included.ResultsExposure profiles revealed 2.8±1.6 (avg±SD) peaks per person per day. The average black carbon concentration during a peak was 4206ng/m³. On 5.5% of the time participants were exposed to peak concentrations, but this contributed to 21.0% of their total exposure. The short time in transport (8%), was responsible for 32.7% of the peaks. 24.1% of the measurements in transport were categorized as peak exposure; while sleeping this was only 0.9%. When considering transport modes, participants were most likely to encounter peaks while cycling (34.0%). Most peaks were encountered at rush hour, from Monday through Friday, and in the cold season. Gender and age had no impact on the presence of peaks. Daily average black carbon exposure showed only a moderate correlation with peak frequency (r=0.44). This correlation coefficient increased when considering longer term exposure to r>0.60 from 10 days onward.ConclusionsThe occurrence of peaks varied substantially over time, across microenvironments and transport modes. Daily average exposure was moderately correlat
AU - Dons,E
AU - Laeremans,M
AU - Orjuela,JP
AU - Avila-Palencia,I
AU - de,Nazelle A
AU - Nieuwenhuijsene,M
AU - Van,Poppel M
AU - Carrasco-Turigas,G
AU - Standaert,A
AU - De,Boever P
AU - Nawrot,T
AU - Panis,LI
DO - 10.1016/j.atmosenv.2019.06.035
EP - 432
PY - 2019///
SN - 1352-2310
SP - 424
TI - Transport most likely to cause air pollution peak exposures in everyday life: Evidence from over 2000 days of personal monitoring
T2 - Atmospheric Environment
UR -
UR -
UR -
UR -
VL - 213
ER -