Show simple item record

contributor authorShalamu Abudu
contributor authorJ. Phillip King
contributor authorA. Salim Bawazir
date accessioned2017-05-08T21:48:53Z
date available2017-05-08T21:48:53Z
date copyrightApril 2011
date issued2011
identifier other%28asce%29he%2E1943-5584%2E0000342.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/63195
description abstractMonthly streamflow forecasting during spring-summer runoff season using snow telemetry (SNOTEL) precipitation and snow water equivalent (SWE) as predictors in the Rio Grande Headwaters Basin in Colorado was investigated. The transfer-function noise (TFN) models with SNOTEL precipitation input were built for monthly streamflow. Then, one-month-ahead forecasts of TFN models for the spring-summer runoff season were modified with SWE using an artificial neural networks (ANN) technique denoted in this study as hybrid
publisherAmerican Society of Civil Engineers
titleForecasting Monthly Streamflow of Spring-Summer Runoff Season in Rio Grande Headwaters Basin Using Stochastic Hybrid Modeling Approach
typeJournal Paper
journal volume16
journal issue4
journal titleJournal of Hydrologic Engineering
identifier doi10.1061/(ASCE)HE.1943-5584.0000322
treeJournal of Hydrologic Engineering:;2011:;Volume ( 016 ):;issue: 004
contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record