TY - JOUR
T1 - A hybrid model for predicting the distribution of pollutants dispersed from line sources
AU - Taylor, J. A.
AU - Simpson, R. W.
AU - Jakeman, A. J.
PY - 1985/11
Y1 - 1985/11
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=0022167740&partnerID=8YFLogxK
U2 - 10.1016/0048-9697(85)90294-3
DO - 10.1016/0048-9697(85)90294-3
M3 - Article
SN - 0048-9697
VL - 46
SP - 191
EP - 213
JO - Science of the Total Environment
JF - Science of the Total Environment
IS - 1-4
ER -