A genetic algorithm method to assimilate sensor data for a toxic contaminant release

Journal of Computers (Finland)

Volumn 2, Issue 6, 2007, Pages 85-93

  Haupt, Sue Ellen ^a   Young, George S ^a   Allen, Christopher T ^b  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

^b Meteorology Department ^*  (United States)

Author keywords

Data assimilation; Genetic algorithm; Sensor data fusion; Source inversion

Indexed keywords

CONTAMINATION; COST FUNCTIONS; DATA FUSION; DECISION MAKING; DISPERSIONS; ERROR ANALYSIS; FORECASTING; GENETIC ALGORITHMS; HAZARDOUS MATERIALS; MONTE CARLO METHODS; TOXIC MATERIALS; WHITE NOISE; WIND EFFECTS;

COMPUTATIONAL ASPECTS; DATA ASSIMILATION; METEOROLOGICAL CONDITION; MONTE CARLO TECHNIQUES; NUMERICAL EXPERIMENTS; SOURCE INVERSION; TRANSPORT AND DISPERSIONS; TWO-DIMENSIONAL SOURCE;

SENSOR DATA FUSION;

EID: 58249134580     PISSN: 1796203X     EISSN: None     Source Type: Journal    
DOI: 10.4304/jcp.2.6.85-93     Document Type: Article

References (10)

1. National Research Council, Tracking and Predicting the Atmospheric Dispersion of Hazardous Material Releases. Implications for Homeland Security, The National Academies Press, Washington, D.C., 2003.
2. EPA, Revision to the Guidelines on Air Quality Models: Adoption of a Preferred Long Range Transport Model and Other Revisions. Federal Register, vol. 68, (72), 40 CFR Part 51, 2003.
3. S.E. Haupt, "A Demonstration of Coupled Receptor/Dispersion Modeling with a Genetic Algorithm," Atmospheric Environment, vol. 39, 2005, pp. 7181-7189.
4. S. E. Haupt, G. S. Young, and C. T. Allen, "Validation of a Receptor/Dispersion Model Coupled with a Genetic Algorithm Using Synthetic Data," J. Appl. Meteor and Clim.45, 476-490.
5. C. T. Allen, S.E. Haupt, and G. S. Young, "Source Characterization With a Genetic Algorithm-Coupled Receptor/Dispersion Model Incorporating SCIPUFF", 2007, J. Appl. Meteor and Clim.in press.
6. J.C Chang, P. Franzese, K. Chayantrakom, and S. R. Hanna, "Evaluations of CALPUFF, HPAC, and VLSTRACK with Two Mesoscale Field Datasets", J. Appl. Meteor., 42, 2003, 453-466.
7. C.T. Allen, G.S. Young, and S.E. Haupt, Improving Pollutant Source Characterization by Optimizing Meteorological Data with a Genetic Algorithm Atmospheric Environment, 2007, 41, 2283-2289.
8. M.R. Beychok, Fundamentals of Stack Gas Dispersion, 3rd Ed. Milton Beychok, pub., Irvine, CA, 1994.
9. nd edition with CD. John Wiley & Sons, New York, NY, 2004.
10. J. A. Nelder and R. Mead, "A Simplex Method for Function Minimization", Computer Journal, 7, 1965, 308-313.