Assessment of error in air quality models using dynamic time warping

Jessica Lin, Guido Cervone, Pasquale Franzese

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

An estimate of the error between the mean concentration of a released pollutant simulated by an atmospheric dispersion model and the values measured at the ground is obtained using Dynamic Time Warping (DTW). The error measure is relevant to the application with iterative source detection algorithms based on forward numerical transport and dispersion simulations. The new proposed measure is compared with two established error functions commonly used in the literature. A sensitivity study of the error measure to wind direction was performed using real world data from the Prairie Grass field experiment. Whereas both standard measures found smallest error only with a few degrees of wind direction, DTW found the smallest error with a much larger range of wind directions, often as high as 20 degrees.

Original languageEnglish (US)
Title of host publicationProc. of the 1st ACM SIGSPATIAL Int. Workshop on Data Mining for Geoinformatics, DMG 2010, offered under the auspices of the 18th Int. Conference on Advances in Geographic Information Systems, ACMGIS
Pages38-44
Number of pages7
DOIs
StatePublished - Dec 1 2010
Event1st ACM SIGSPATIAL International Workshop on Data Mining for Geoinformatics, DMG 2010, offered under the auspices of the 18th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS'10 - San Jose, CA, United States
Duration: Nov 2 2010Nov 2 2010

Publication series

NameProc. of the 1st ACM SIGSPATIAL Int. Workshop on Data Mining for Geoinformatics, DMG 2010, offered under the auspices of the 18th Int. Conference on Advances in Geographic Information Systems, ACMGIS

Other

Other1st ACM SIGSPATIAL International Workshop on Data Mining for Geoinformatics, DMG 2010, offered under the auspices of the 18th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS'10
CountryUnited States
CitySan Jose, CA
Period11/2/1011/2/10

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Information Systems
  • Geography, Planning and Development

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