A hybrid atdl-gamma distribution model for predicting area source acid gas concentrations

A. J. Jakeman; J. A. Taylor

doi:10.1016/0004-6981(85)90022-8

A hybrid atdl-gamma distribution model for predicting area source acid gas concentrations

A. J. Jakeman^*, J. A. Taylor

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

15 Citations (Scopus)

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 Organisation goal for acid gas concentrations.

Original language	English
Pages (from-to)	1959-1967
Number of pages	9
Journal	Atmospheric Environment
Volume	19
Issue number	11
DOIs	https://doi.org/10.1016/0004-6981(85)90022-8
Publication status	Published - 1985

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title = "A hybrid atdl-gamma distribution model for predicting area source acid gas concentrations",

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 Organisation goal for acid gas concentrations.",

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AB - 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 Organisation goal for acid gas concentrations.

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DO - 10.1016/0004-6981(85)90022-8

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VL - 19

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JO - Atmospheric Environment

JF - Atmospheric Environment

IS - 11

ER -

A hybrid atdl-gamma distribution model for predicting area source acid gas concentrations

Abstract

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