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Use of High Resolution Mobile Monitoring Techniques to Assess Near-Road Air Quality Variability
Citation:
Deshmukh, P., R. Baldauf, Sue Kimbrough, G. Hagler, AND V. Isakov. Use of High Resolution Mobile Monitoring Techniques to Assess Near-Road Air Quality Variability. In Proceedings, A&WMA Air Quality Measurement Conf, Chapel Hill, NC, March 15 - 17, 2016. Air and Waste Management Association, Pittsburgh, PA, CP218, (2016).
Impact/Purpose:
The National Exposure Research Laboratory (NERL) Computational Exposure Division (CED) develops and evaluates data, decision-support tools, and models to be applied to media-specific or receptor-specific problem areas. CED uses modeling-based approaches to characterize exposures, evaluate fate and transport, and support environmental diagnostics/forensics with input from multiple data sources. It also develops media- and receptor-specific models, process models, and decision support tools for use both within and outside of EPA.
Description:
This presentation provides a description of the techniques used to develop and conduct effective mobile monitoring studies. It also provides a summary of mobile monitoring assessment studies that have been used to assess near-road concentrations and the variability of pollutant levels due to complex urban features such as noise barriers, roadside features, and changing terrain. The presentation includes example applications for highways, rail yards, and port facilities with multiple air pollution sources.
