Prediction and analysis of near-road concentrations using a reduced-form emission/dispersion model.

ABSTRACT:

Background

Near-road exposures of traffic-related air pollutants have been receiving increased attention due to evidence linking emissions from high-traffic roadways to adverse health outcomes. To date, most epidemiological and risk analyses have utilized simple but crude exposure indicators, most typically proximity measures, such as the distance between freeways and residences, to represent air quality impacts from traffic. This paper derives and analyzes a simplified microscale simulation model designed to predict short- (hourly) to long-term (annual average) pollutant concentrations near roads. Sensitivity analyses and case studies are used to highlight issues in predicting near-road exposures.

Methods

Process-based simulation models using a computationally efficient red

SUBMITTER: Batterman SA 

PROVIDER: S-EPMC2914002 | biostudies-literature | 2010 Jun

REPOSITORIES: biostudies-literature