Record Details

Simulation of Population-Based Commuter Exposure to NO2 Using Different Air Pollution Models

DSpace at IIT Bombay

View Archive Info
 
 
Field Value
 
Title Simulation of Population-Based Commuter Exposure to NO2 Using Different Air Pollution Models
 
Creator RAGETTLI, MS
TSAI, MY
BRAUN-FAHRLANDER, C
DE NAZELLE, A
SCHINDLER, C
INEICHEN, A
DUCRET-STICH, RE
PEREZ, L
PROBST-HENSCH, N
KUNZLI, N
PHULERIA, HC
 
Subject air pollution
model comparison
traffic
travel mode
travel pattern
PERSONAL EXPOSURE
ULTRAFINE PARTICLES
NITROGEN-DIOXIDE
BLACK CARBON
ENVIRONMENT
POLLUTANTS
VEHICLE
BICYCLE
ROUTES
IMPACT
 
Description We simulated commuter routes and long-term exposure to traffic-related air pollution during commute in a representative population sample in Basel (Switzerland), and evaluated three air pollution models with different spatial resolution for estimating commute exposures to nitrogen dioxide (NO2) as a marker of long-term exposure to traffic-related air pollution. Our approach includes spatially and temporally resolved data on actual commuter routes, travel modes and three air pollution models. Annual mean NO2 commuter exposures were similar between models. However, we found more within-city and within-subject variability in annual mean (+/- SD) NO2 commuter exposure with a high resolution dispersion model (40 +/- 7 mu g m(-3), range: 21-61) than with a dispersion model with a lower resolution (39 +/- 5 mu g m(-3); range: 24-51), and a land use regression model (41 +/- 5 mu g m (3); range: 24-54). Highest median cumulative exposures were calculated along motorized transport and bicycle routes, and the lowest for walking. For estimating commuter exposure within a city and being interested also in small-scale variability between roads, a model with a high resolution is recommended. For larger scale epidemiological health assessment studies, models with a coarser spatial resolution are likely sufficient, especially when study areas include suburban and rural areas.
 
Publisher MDPI AG
 
Date 2014-12-29T06:35:38Z
2014-12-29T06:35:38Z
2014
 
Type Article
 
Identifier INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 11(5)5049-5068
1660-4601
http://dx.doi.org/10.3390/ijerph110505049
http://dspace.library.iitb.ac.in/jspui/handle/100/17324
 
Language English