Tytuł pozycji:
Localizing of the atmospheric contamination source based on the Kori field tracer experiment data
Accidental releases of hazardous material into the atmosphere pose high risks to human health
and the environment. Thus it would be valuable to develop an emergency reaction system which can
recognize the probable location of the source based only on concentrations of the released substance
as reported by a network of sensors. We apply a methodology combining Bayesian inference with Sequential
Monte Carlo (SMC) methods to the problem of locating the source of an atmospheric contaminant. The
input data for this algorithm are the concentrations of a given substance gathered continuously in time. We
employ this algorithm to locating a contamination source using data from a field tracer experiment covering
the Kori nuclear site and conducted in May 2001. We use the second-order Closure Integrated
PUFF Model (SCIPUFF) of atmospheric dispersion as the forward model to predict concentrations at
the sensors’ locations. We demonstrate that the source of continuous contamination may be successfully
located even in the very complicated, hilly terrain surrounding the Kori nuclear site.