A hybrid model for predicting the distribution of pollutants dispersed from line sources.
This paper applies a hybrid modeling methodology to the problem of the dispersion of pollutants from line sources. The model combines a deterministic component, the GM model (Chock, 1978), with a statistical component, the two-parameter Weibull distribution, to produce estimates of the entire distribution of pollutant concentration. The approach is demonstrated using hourly average carbon monoxide data recorded in Melbourne, Australia. Using a second data set a model validation exercise is performed. The hybrid model has worked well, producing estimates of pollutant concentration with an accuracy better than a factor of two over all percentiles of the distribution of pollutant concentration.
J A
JA
Taylor
R W
RW
Simpson
A J
AJ
Jakeman
D000393:Air Pollutants / Q000032:analysis*; D001315:Australia; D002248:Carbon Monoxide / Q000032:analysis; D008962:Models, Theoretical; D001335:Vehicle Emissions
D000393:Air Pollutants; D001335:Vehicle Emissions; D002248:Carbon Monoxide