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N. M?lders, H. N. Q. Tran, C. F. Cahill, K. Leelasakultum and T. T. Tran, “Assessment of WRF/Chem PM2.5-Forecasts Using Mobile and Fixed Location Data from the Fairbanks, Alaska Winter 2008/09 Field Campaign,” Atmospheric Pollution Research, Vol. 3, 2012, pp. 180-191. doi:10.5094/APR.2012.018

has been cited by the following article:

• TITLE: A Tool for Public PM2.5-Concentration Advisory Based on Mobile Measurements

  AUTHORS: Huy N. Tran, Ketsiri Leelasakultum, Nicole Molders

  KEYWORDS: WRF; CMAQ; PM2.5; Air Quality; Interpolation; Arctic

  JOURNAL NAME: Journal of Environmental Protection, Vol.3 No.12, December 31, 2012

  ABSTRACT: A tool was developed that interpolates mobile measurements of PM2.5-concentrations into unmonitored areas of the Fairbanksnonattainment area for public air-quality advisory. The tool uses simulations with theAlaskaadapted version of the Weather Research and Forecasting (WRF) and the Community Modeling and Analysis Quality (CMAQ) modeling system as a database. The tool uses the GPS-data of the vehicle’s route, and the database to determine linear regression equations for the relationships between the PM2.5-concentrations at the locations on the route and those outside the route. Once the interpolation equations are determined, the tool uses the mobile measurements as input into these equations that interpolate the measurements into the unmonitored neighborhoods. An episode of winter 2009/10 served as database for the tool’s interpolation algorithm. An independent episode of winter 2010/11 served to demonstrate and evaluate the performance of the tool. The evaluation showed that the tool well reproduced the spatial distribution of the observed as well as simulated concentrations. It is demonstrated that the tool does not require a database that contains data of the episode for which the interpolation is to be made. Potential challenges in applying this tools and its transferability are discussed critically.