| Main Title |
Use of intelligent computational techniques for the estimation and projection of air pollutant emissions / |
| Author |
Kimbrough, E. Sue. ;
Mann, C. O.
|
| Other Authors |
|
| CORP Author |
Environmental Protection Agency, Research Triangle Park, NC. Air Pollution Prevention and Control Div. |
| Publisher |
U.S. Environmental Protection Agency, Air Pollution Prevention and Control Division, |
| Year Published |
1998 |
| Report Number |
EPA/600/A-98/140 |
| Stock Number |
PB99-126484 |
| Subjects |
Air--Pollution
|
| Additional Subjects |
Air pollution sources ;
Emissions ;
Estimating ;
Forecasting ;
Artificial intelligence ;
Electric utilties ;
Electric power generation ;
Carbon dioxide ;
Greenhouse gases ;
Greenhouse effect ;
Fuzzy logic
|
| Holdings |
| Library |
Call Number |
Additional Info |
Location |
Last
Modified |
Checkout
Status |
| NTIS |
PB99-126484 |
Some EPA libraries have a fiche copy filed under the call number shown. |
|
07/26/2022 |
|
| Collation |
6 pages ; 28 cm |
| Abstract |
EPA is developing a fuzzy logic and/or neural network model for predicting U.S. greenhouse gas emissions from the electric utility sector. The model would be a refinement and modification of the existing Electric Utility Model (EUMOD). Development and testing of the model would use similar data inputs and would follow a testing and validation procedure similar to that used for EUMOD. In this case, the output from the model would be esitmated future carbon dioxide (CO2) emissions for each state. CO2 is the most significant greenhouse gas pollutant in the U.S., accounting for about 85% of national greenhouse gas emissions. Currently electric utilties produce about one-third of the national CO2 emissions. |
| Notes |
Microfiche. |
