Environmental ScienceComputer Science

Deriving high-resolution urban air pollution maps using mobile sensor nodes

David Hasenfratz, O. Saukh, C. Walser, Christoph Hueglin, Martin Fierz, Tabita Arn, J. Beutel, Lothar Thiele

2015Pervasive and Mobile Computing

DOI: 10.1016/J.PMCJ.2014.11.008

tlooto Summary

This paper analyzes one of the largest spatially resolved UFP data set publicly available today containing over 50 million measurements and achieves a 26% reduction in the root-mean-square error-a standard metric to evaluate the accuracy of air quality models-of pollution maps with semi-daily temporal resolution.

Abstract

Abstract is not available.

Citation format

HASENFRATZ, David, et al. Deriving high-resolution urban air pollution maps using mobile sensor nodes. Pervasive and Mobile Computing, 2015, 16: 268–285.