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Exploring the Spatial Representativeness of NAAQS and Near Roadway Sites Using High-Spatial Resolution Air Pollution Maps Produced by A Mobile Mapping Platform
Citation:
Solomon, P., S. Kaushik, A. Whitehill, S. Ashok, M. Lunden, B. LaFranchi, AND D. Herzl. Exploring the Spatial Representativeness of NAAQS and Near Roadway Sites Using High-Spatial Resolution Air Pollution Maps Produced by A Mobile Mapping Platform. 2017 ISES Annual Meeting, Research Triangle Park, NC, October 19, 2017.
Impact/Purpose:
This will be a slide presentation
Description:
In the current study, three Google Street View cars were equipped with the Aclima Environmental Intelligence ™ Platform. The air pollutants of interest, including O3, NO, NO2, CO2, black carbon, and particle number in several size ranges, were measured using a suite of fast time-response reference-grade equipment and combined with a data integration system to enable extensive, routine operation. Supplemental measurements that included temperature (T), relative humidity (RH) were also included. These three instrumented automobiles were driven concurrently in a variety of spatiotemporal patterns in Denver, Colorado over 22 days from mid-July to mid-August 2014, including dense driving around the NAAQS and near-roadway sites. Routes were designed to include interconnected and overlapping driving patterns. This presentation will examine pollution concentrations as observed at the stationary sites compared to those measured by the vehicles within a range of up to 2km from the NAAQS site and within a range ~500m of the near-roadway site.