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首页> 美国政府科技报告 >Use of Intelligent Computational Techniques for the Estimation and Projection of211 Air Pollutant Emissions
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Use of Intelligent Computational Techniques for the Estimation and Projection of211 Air Pollutant Emissions

机译：智能计算技术在211大气污染物排放估算与预测中的应用

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EPA is developing a fuzzy logic and/or neural network model for predicting U.S.211u001egreenhouse gas emissions from the electric utility sector. The model would be a 211u001erefinement and modification of the existing Electric Utility Model (EUMOD). 211u001eDevelopment and testing of the model would use similar data inputs and would 211u001efollow a testing and validation procedure similar to that used for EUMOD. In this 211u001ecase, the output from the model would be esitmated future carbon dioxide (CO2) 211u001eemissions for each state. CO2 is the most significant greenhouse gas pollutant in 211u001ethe U.S., accounting for about 85% of national greenhouse gas emissions. 211u001eCurrently electric utilties produce about one-third of the national CO2 211u001eemissions.

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