SwePub
Sök i LIBRIS databas

  Extended search

(WFRF:(Sugiri Dorothee))
 

Search: (WFRF:(Sugiri Dorothee)) > (2014) > Comparing land use ...

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Comparing land use regression and dispersion modelling to assess residential exposure to ambient air pollution for epidemiological studies

de Hoogh, Kees (author)
Korek, Michal (author)
Karolinska Institutet
Vienneau, Danielle (author)
show more...
Keuken, Menno (author)
Kukkonen, Jaakko (author)
Nieuwenhuijsen, Mark J. (author)
Badaloni, Chiara (author)
Beelen, Rob (author)
Bolignano, Andrea (author)
Cesaroni, Giulia (author)
Pradas, Marta Cirach (author)
Cyrys, Josef (author)
Douros, John (author)
Eeftens, Marloes (author)
Forastiere, Francesco (author)
Forsberg, Bertil (author)
Umeå universitet,Yrkes- och miljömedicin
Fuks, Kateryna (author)
Gehring, Ulrike (author)
Gryparis, Alexandros (author)
Gulliver, John (author)
Hansell, Anna L. (author)
Hoffmann, Barbara (author)
Johansson, Christer (author)
Stockholms universitet,Institutionen för tillämpad miljövetenskap (ITM)
Jonkers, Sander (author)
Kangas, Leena (author)
Katsouyanni, Klea (author)
Kuenzli, Nino (author)
Lanki, Timo (author)
Memmesheimer, Michael (author)
Moussiopoulos, Nicolas (author)
Modig, Lars (author)
Umeå universitet,Yrkes- och miljömedicin
Pershagen, Goran (author)
Karolinska Institutet
Probst-Hensch, Nicole (author)
Schindler, Christian (author)
Schikowski, Tamara (author)
Sugiri, Dorothee (author)
Teixido, Oriol (author)
Tsai, Ming-Yi (author)
Yli-Tuomi, Tarja (author)
Brunekreef, Bert (author)
Hoek, Gerard (author)
Bellander, Tom (author)
Karolinska Institutet
show less...
 (creator_code:org_t)
Elsevier BV, 2014
2014
English.
In: Environment International. - : Elsevier BV. - 0160-4120 .- 1873-6750. ; 73, s. 382-392
  • Journal article (peer-reviewed)
Abstract Subject headings
Close  
  • Background: Land-use regression (LUR) and dispersion models (DM) are commonly used for estimating individual air pollution exposure in population studies. Few comparisons have however been made of the performance of these methods. Objectives: Within the European Study of Cohorts for Air Pollution Effects (ESCAPE) we explored the differences between LUR and DM estimates for NO2, PM10 and PM2.5. Methods: The ESCAPE study developed LUR models for outdoor air pollution levels based on a harmonised monitoring campaign. In thirteen ESCAPE study areas we further applied dispersion models. We compared LUR and DM estimates at the residential addresses of participants in 13 cohorts for NO2; 7 for PM10 and 4 for PM2.5. Additionally, we compared the DM estimates with measured concentrations at the 20-40 ESCAPE monitoring sites in each area. Results: The median Pearson R (range) correlation coefficients between LUR and DM estimates for the annual average concentrations of NO2, PM10 and PM2.5 were 0.75 (0.19-0.89), 0.39 (0.23-0.66) and 0.29 (0.22-0.81) for 112,971 (13 study areas), 69,591 (7) and 28,519(4) addresses respectively. The median Pearson R correlation coefficients (range) between DM estimates and ESCAPE measurements were of 0.74(0.09-0.86) for NO2; 0.58 (0.36-0.88) for PM10 and 0.58 (0.39-0.66) for PM2.5. Conclusions: LUR and dispersion model estimates correlated on average well for NO2 but only moderately for PM10 and PM2.5, with large variability across areas. DM predicted a moderate to large proportion of the measured variation for NO2 but less for PM10 and PM2.5.

Subject headings

NATURVETENSKAP  -- Geovetenskap och miljövetenskap (hsv//swe)
NATURAL SCIENCES  -- Earth and Related Environmental Sciences (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Hälsovetenskap -- Arbetsmedicin och miljömedicin (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Health Sciences -- Occupational Health and Environmental Health (hsv//eng)

Keyword

Land use regression
Dispersion modelling
Air pollution
Exposure
Cohort

Publication and Content Type

ref (subject category)
art (subject category)

Find in a library

To the university's database

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view