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Intake fraction distributions for benzene from vehicles in the Helsinki metropolitan area
Authors:Miranda M Loh  Joana Soares  Ari Karppinen  Jaakko Kukkonen  Leena Kangas  Kari Riikonen  Anu Kousa  Arja Asikainen  Matti J Jantunen
Institution:1. National Public Health Institute (KTL), P.O. Box 95, 70701 Kuopio, Finland;2. Finnish Meteorological Institute (FMI), Helsinki, Finland;3. Helsinki Metropolitan Area Council (YTV), Helsinki, Finland;1. Chemistry Department, Portland State University, Portland, OR 97207-075, USA;2. Chemistry Department, Obafemi Awolowo University, Ile-Ife, Osun State 220005, Nigeria;1. Department of Chemical Engineering and Materials Science, Yuan Ze University, Taoyuan 320, Taiwan;2. Materials and Electro-Optics Research Division, National Chung-Shan Institute of Science & Technology, Taoyuan 325, Taiwan;1. Institute of Combustion and Power Plant Technology, University of Stuttgart, Pfaffenwaldring 23, 70176 Stuttgart, Germany;2. Institute of Heat and Mass Transfer, RWTH Aachen University, Eilfschornsteinstrasse 18, 52056 Aachen, Germany;3. CNRS, INSA de Rouen, Université de Rouen, 685 avenue de l''Université – BP 08, 76801 Saint Etienne du Rouvray, France
Abstract:The intake fraction (iF) gives a measure of the portion of a source's emissions that is inhaled by an exposed population over a defined period of time. This study examines spatial and population-based iF distributions of a known human carcinogen, benzene, from a ubiquitous urban source, local vehicular traffic, in the Helsinki Metropolitan Area using three computational methods. The first method uses the EXPAND model (EXPosure to Air pollution, especially to Nitrogen Dioxide and particulate matter), which incorporates spatial and temporal information on population activity patterns as well as urban-scale and street canyon dispersion models to predict spatial population exposure distributions. The second method uses data from the personal monitoring study EXPOLIS (Air Pollution Exposure Distributions of Adult Urban Populations in Europe) to estimate the intake fractions for individuals in the study. The third method, a one-compartment box model provides estimates within an order-of-magnitude or better for non-reactive agents in an urban area. Population intake fractions are higher using the personal monitoring data method (median iF 30 per million, mean iF 39 per million) compared with the spatial model (annual mean iF 10 per million) and the box model (median iF 4 per million, mean iF 7 per million). In particular, this study presents detailed intake fraction distributions on several different levels (spatial, individual, and generic) for the same urban area.
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