| contributor author | J. M. Bravo | |
| contributor author | A. R. Paz | |
| contributor author | W. Collischonn | |
| contributor author | C. B. Uvo | |
| contributor author | O. C. Pedrollo | |
| contributor author | S. C. Chou | |
| date accessioned | 2017-05-08T21:48:22Z | |
| date available | 2017-05-08T21:48:22Z | |
| date copyright | May 2009 | |
| date issued | 2009 | |
| identifier other | %28asce%29he%2E1943-5584%2E0000036.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/62895 | |
| description abstract | This study reports on the performance of two medium-range streamflow forecast models: (1) a multilayer feed-forward artificial neural network; and (2) a distributed hydrologic model. Quantitative precipitation forecasts were used as input to both models. The Furnas Reservoir on the Rio Grande River was selected as a case study, primarily because of the availability of quantitative precipitation forecasts from the Brazilian Center for Weather Prediction and Climate Studies and due to its importance in the Brazilian hydropower generating system. Streamflow forecasts were calculated for a drainage area of about | |
| publisher | American Society of Civil Engineers | |
| title | Incorporating Forecasts of Rainfall in Two Hydrologic Models Used for Medium-Range Streamflow Forecasting | |
| type | Journal Paper | |
| journal volume | 14 | |
| journal issue | 5 | |
| journal title | Journal of Hydrologic Engineering | |
| identifier doi | 10.1061/(ASCE)HE.1943-5584.0000014 | |
| tree | Journal of Hydrologic Engineering:;2009:;Volume ( 014 ):;issue: 005 | |
| contenttype | Fulltext | |
