Short–long-term streamflow forecasting using a coupled wavelet transform–artificial neural network (WT–ANN) model at the Gilgit River Basin, Pakistan

Streamflow forecasting is highly crucial in the domain of water resources. For this study, we coupled the Wavelet Transform (WT) and Artificial Neural Network (ANN) to forecast Gilgit streamflow at short-term (T0.33 and T0.66), intermediate-term (T1), and long-term (T2, T4, and T8) monthly intervals...

詳細記述

書誌詳細

出版年:	Journal of Hydroinformatics
主要な著者:	Zain Syed, Prince Mahmood, Sajjad Haider, Shakil Ahmad, Khan Zaib Jadoon, Rashid Farooq, Sibtain Syed, Khalil Ahmad
フォーマット:	論文
言語:	英語
出版事項:	IWA Publishing 2023-05-01
主題:	ann modeling gilgit basin hybrid modeling streamflow forecasting wavelet transform
オンライン･アクセス:	http://jhydro.iwaponline.com/content/25/3/881