A genetic algorithm method for sensor data assimilation and source characterization

Sue Ellen Haupt, Christopher T. Allen, George S. Young

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

2 Scopus citations

Abstract

A genetic algorithm is used to couple a dispersion and transport model with a pollution receptor model for the purpose of assimilating sensor data to characterize emission sources. This coupling allows the use of the backward (receptor) model to calibrate the forward (dispersion) model, potentially across a wide range of meteorological conditions. The genetic algorithm optimizes the source calibration factors that connect the two models. This methodology is demonstrated for a basic Gaussian plume dispersion model, then progresses to incorporating an operational transport and dispersion model. It is verified in the context of both synthetic data and actual monitored data from field tests with known release amounts. Its error bounds are set using Monte Carlo techniques and robustness assessed through the addition of white noise. The impact of varying the genetic algorithm parameters is assessed.

Original languageEnglish (US)
Title of host publicationInternational Joint Conference on Neural Networks 2006, IJCNN '06
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5096-5103
Number of pages8
ISBN (Print)0780394909, 9780780394902
DOIs
StatePublished - 2006
EventInternational Joint Conference on Neural Networks 2006, IJCNN '06 - Vancouver, BC, Canada
Duration: Jul 16 2006Jul 21 2006

Publication series

NameIEEE International Conference on Neural Networks - Conference Proceedings
ISSN (Print)1098-7576

Other

OtherInternational Joint Conference on Neural Networks 2006, IJCNN '06
CountryCanada
CityVancouver, BC
Period7/16/067/21/06

All Science Journal Classification (ASJC) codes

  • Software

Fingerprint Dive into the research topics of 'A genetic algorithm method for sensor data assimilation and source characterization'. Together they form a unique fingerprint.

  • Cite this

    Haupt, S. E., Allen, C. T., & Young, G. S. (2006). A genetic algorithm method for sensor data assimilation and source characterization. In International Joint Conference on Neural Networks 2006, IJCNN '06 (pp. 5096-5103). [1716809] (IEEE International Conference on Neural Networks - Conference Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ijcnn.2006.247238