首页 | 本学科首页   官方微博 | 高级检索  
     检索      


A univariate model for long-term streamflow forecasting
Authors:P F Krstanovic  V P Singh
Institution:(1) H. T. Harvey and Associates, 906 Elizabeth Street, P. O. Box 1180, 95002 Alviso, CA, USA;(2) Dept. of Civil Engineering, Louisiana State University, 70803-6405 Baton Rouge, LA, USA
Abstract:This paper, the first in a series of two, employs the principle of maximum entropy (POME) via maximum entropy spectral analysis (MESA) to develop a univariate model for long-term streamflow forecasting. Three cases of streamflow forecasting are investigated: forward forecasting, backward forecasting (or reconstruction) and intermittent forecasting (or filling in missing records). Application of the model is discussed in the second paper.
Keywords:Entropy  spectral analysis  streamflow forecasting  univariate model
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号