Characterization of source-specific air pollution exposure for a large population-based Swiss cohort (SAPALDIA)

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Autor:innen
Liu, L.-J. Sally
Curjuric, Ivan
Keidel, Dirk
Heldstab, Jürg
Künzli, Nino
Ackermann-Liebrich, Ursula
Schindler, Christian
Autor:in (Körperschaft)
Publikationsdatum
2007
Typ der Arbeit
Studiengang
Typ
01A - Beitrag in wissenschaftlicher Zeitschrift
Herausgeber:innen
Herausgeber:in (Körperschaft)
Betreuer:in
Übergeordnetes Werk
Environmental Health Perspectives
Themenheft
DOI der Originalpublikation
Link
Reihe / Serie
Reihennummer
Jahrgang / Band
115
Ausgabe / Nummer
11
Seiten / Dauer
1638-1645
Patentnummer
Verlag / Herausgebende Institution
National Institute of Environmental Health Sciences
Verlagsort / Veranstaltungsort
Durham
Auflage
Version
Programmiersprache
Abtretungsempfänger:in
Praxispartner:in/Auftraggeber:in
Zusammenfassung
Background: Although the dispersion model approach has been used in some epidemiologic studies to examine health effects of traffic-specific air pollution, no study has evaluated the model predictions vigorously. Methods: We evaluated total and traffic-specific particulate matter < 10 and < 2.5 microm in aero-dynamic diameter (PM(10), PM(2.5)), nitrogren dioxide, and nitrogen oxide concentrations predicted by Gaussian dispersion models against fixed-site measurements at different locations, including traffic-impacted, urban-background, and alpine settings between and across cities. The model predictions were then used to estimate individual subjects' historical and cumulative exposures with a temporal trend model. Results: Modeled PM(10) and NO(2) predicted at least 55% and 72% of the variability of the measured PM(10) and NO(2), respectively. Traffic-specific pollution estimates correlated with the NO(x) measurements (R(2) >or=0.77) for background sites but not for traffic sites. Regional background PM(10) accounted for most PM(10) mass in all cities. Whereas traffic PM(10) accounted for < 20% of the total PM(10), it varied significantly within cities. The modeling error for PM(10) was similar within and between cities. Traffic NO(x) accounted for the majority of NO(x) mass in urban areas, whereas background NO(x) accounted for the majority of NO(x) in rural areas. The within-city NO(2) modeling error was larger than that between cities. Conclusions: The dispersion model predicted well the total PM(10), NO(x), and NO(2) and traffic-specific pollution at background sites. However, the model underpredicted traffic NO(x) and NO(2) at traffic sites and needs refinement to reflect local conditions. The dispersion model predictions for PM(10) are suitable for examining individual exposures and health effects within and between cities.
Schlagwörter
cohort study, cumulative exposure, dispersion model, exposure assessment, long-term exposure
Fachgebiet (DDC)
300 - Sozialwissenschaften, Soziologie, Anthropologie
600 - Technik
610 - Medizin und Gesundheit
Projekt
Veranstaltung
Startdatum der Ausstellung
Enddatum der Ausstellung
Startdatum der Konferenz
Enddatum der Konferenz
Datum der letzten Prüfung
ISBN
ISSN
0091-6765
1552-9924
Sprache
Englisch
Während FHNW Zugehörigkeit erstellt
Nein
Zukunftsfelder FHNW
Publikationsstatus
Veröffentlicht
Begutachtung
Peer-Review der ganzen Publikation
Open Access-Status
Diamond
Lizenz
'https://creativecommons.org/publicdomain/zero/1.0/'
Zitation
LIU, L.-J. Sally, Ivan CURJURIC, Dirk KEIDEL, Jürg HELDSTAB, Nino KÜNZLI, Lucy BAYER-OGLESBY, Ursula ACKERMANN-LIEBRICH und Christian SCHINDLER, 2007. Characterization of source-specific air pollution exposure for a large population-based Swiss cohort (SAPALDIA). Environmental Health Perspectives. 2007. Bd. 115, Nr. 11, S. 1638–1645. DOI 10.1289/ehp.10177. Verfügbar unter: https://doi.org/10.26041/fhnw-8910