2019
DOI: 10.32732/jmo.2019.11.2.77
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Determining Effective Parameters on CO Concentration in Tehran Air by Sensitivity Analysis based on Neural Network Prediction

Abstract: One of the most toxic pollutant gases produced by fossil fuels is carbon monoxide. Hence, the accurate and regular estimation and control of CO in the cities such as Tehran is inevitable. In this research, for the first time, CO concentration in ambient air was predicted based on 12 important urban and meteorological parameters by neural network. Also, the sensitivity analysis of the factors that effect on the concentration of carbon monoxide in Tehran was investigated based on the pollutant concentration pred… Show more

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Cited by 1 publication
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References 27 publications
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“…Qaderi and others proposed a hybrid model for the anaerobic digestion process. e model is established based on the material balance equation, in which the biological growth rate is expressed by a neural network [3]. Zhang and others studied the dynamic simulation of the activated sludge process, used a neural network to improve the prediction model, and developed a program to improve the accuracy of the existing mechanical model of activated sludge process [4].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Qaderi and others proposed a hybrid model for the anaerobic digestion process. e model is established based on the material balance equation, in which the biological growth rate is expressed by a neural network [3]. Zhang and others studied the dynamic simulation of the activated sludge process, used a neural network to improve the prediction model, and developed a program to improve the accuracy of the existing mechanical model of activated sludge process [4].…”
Section: Literature Reviewmentioning
confidence: 99%