ArticleInternational journal of environmental research and public health2014
Creating locally-resolved mobile-source emissions inputs for air quality modeling in support of an exposure study in Detroit, Michigan, USA.
Article in International journal of environmental research and public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- A Low-Cost Sensor System Installed in Buses to Monitor Air Quality in Cities.International journal of environmental research and public health · 2023Article
- A hyperlocal hybrid data fusion near-road PM2.5 and NO2 annual risk and environmental justice assessment across the United States.PloS one · 2023Article
- Characterizing Determinants of Near-Road Ambient Air Quality for an Urban Intersection and a Freeway Site.Research report (Health Effects Institute) · 2022Article
- Impact of School Location on Children's Air Pollution Exposure.Journal of urban affairs · 2020Article
- Enhancing Models and Measurements of Traffic-Related Air Pollutants for Health Studies Using Dispersion Modeling and Bayesian Data Fusion.Research report (Health Effects Institute) · 2020Article
- Fine-Scale Modeling of Individual Exposures to Ambient PMAtmosphere · 2020Article
- Conditions Leading to Elevated PMInternational journal of environmental research and public health · 2019Article
- Operational evaluation of the RLINE dispersion model for studies of traffic-related air pollutants.Atmospheric environment (Oxford, England : 1994) · 2018Article
- Sensitivity analysis of the near-road dispersion model RLINE - an evaluation at Detroit, Michigan.Atmospheric environment (Oxford, England : 1994) · 2018Article
- Impacts of Regulations on Air Quality and Emergency Department Visits in the Atlanta Metropolitan Area, 1999-2013.Research report (Health Effects Institute) · 2018Article
- Development and Evaluation of the R-LINE Model Algorithms to Account for Chemical Transformation in the Near-road Environment.Transportation research. Part D, Transport and environment · 2018Article
- Finely Resolved On-Road PMRisk analysis : an official publication of the Society for Risk Analysis · 2017Article
- Comparison of Highly Resolved Model-Based Exposure Metrics for Traffic-Related Air Pollutants to Support Environmental Health Studies.International journal of environmental research and public health · 2015Article
- High resolution spatial and temporal mapping of traffic-related air pollutants.International journal of environmental research and public health · 2015Article
- Air quality modeling in support of the Near-Road Exposures and Effects of Urban Air Pollutants Study (NEXUS).International journal of environmental research and public health · 2014Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This work describes a methodology for modeling the impact of traffic-generated air pollutants in an urban area. This methodology presented here utilizes road network geometry, traffic volume, temporal allocation factors, fleet mixes, and emission factors to provide critical modeling inputs. These inputs, assembled from a variety of sources, are combined with meteorological inputs to generate link-based emissions for use in dispersion modeling to estimate pollutant concentration levels due to traffic. A case study implementing this methodology for a large health study is presented, including a sensitivity analysis of the modeling results reinforcing the importance of model inputs and identify those having greater relative impact, such as fleet mix. In addition, an example use of local measurements of fleet activity to supplement model inputs is described, and its impacts to the model outputs are discussed. We conclude that with detailed model inputs supported by local traffic measurements and meteorology, it is possible to capture the spatial and temporal patterns needed to accurately estimate exposure from traffic-related pollutants.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.