Abstract
An air quality model is developed to predict the distribution of concentrations of acid gas in an urban airshed. The model is hybrid in character, combining reliable features of a deterministic ATDL-based model with statistical distributional approaches. The gamma distribution was identified from a range of distributional models as the best model. The paper shows that the assumptions of a previous hybrid model may be relaxed and presents a methodology for characterizing the uncertainty associated with model predictions. Results are demonstrated for the 98-percentile predictions of 24-h average data over annual periods at six monitoring sites. This percentile relates to the World Health Organization goal for acid gas concentrations.
Citation Formats
Jakeman, A J, and Taylor, J A.
Hybrid ATDL-gamma distribution model for predicting area source acid gas concentrations.
United Kingdom: N. p.,
1985.
Web.
Jakeman, A J, & Taylor, J A.
Hybrid ATDL-gamma distribution model for predicting area source acid gas concentrations.
United Kingdom.
Jakeman, A J, and Taylor, J A.
1985.
"Hybrid ATDL-gamma distribution model for predicting area source acid gas concentrations."
United Kingdom.
@misc{etde_6295134,
title = {Hybrid ATDL-gamma distribution model for predicting area source acid gas concentrations}
author = {Jakeman, A J, and Taylor, J A}
abstractNote = {An air quality model is developed to predict the distribution of concentrations of acid gas in an urban airshed. The model is hybrid in character, combining reliable features of a deterministic ATDL-based model with statistical distributional approaches. The gamma distribution was identified from a range of distributional models as the best model. The paper shows that the assumptions of a previous hybrid model may be relaxed and presents a methodology for characterizing the uncertainty associated with model predictions. Results are demonstrated for the 98-percentile predictions of 24-h average data over annual periods at six monitoring sites. This percentile relates to the World Health Organization goal for acid gas concentrations.}
journal = []
volume = {19:11}
journal type = {AC}
place = {United Kingdom}
year = {1985}
month = {Jan}
}
title = {Hybrid ATDL-gamma distribution model for predicting area source acid gas concentrations}
author = {Jakeman, A J, and Taylor, J A}
abstractNote = {An air quality model is developed to predict the distribution of concentrations of acid gas in an urban airshed. The model is hybrid in character, combining reliable features of a deterministic ATDL-based model with statistical distributional approaches. The gamma distribution was identified from a range of distributional models as the best model. The paper shows that the assumptions of a previous hybrid model may be relaxed and presents a methodology for characterizing the uncertainty associated with model predictions. Results are demonstrated for the 98-percentile predictions of 24-h average data over annual periods at six monitoring sites. This percentile relates to the World Health Organization goal for acid gas concentrations.}
journal = []
volume = {19:11}
journal type = {AC}
place = {United Kingdom}
year = {1985}
month = {Jan}
}