Daily Mean Streamflow Prediction in Perennial and Non-Perennial Rivers Using Four Data Driven Techniques-Reference-Cited by-同舟云学术

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Daily Mean Streamflow Prediction in Perennial and Non-Perennial Rivers Using Four Data Driven Techniques

Published:2017-07-26 Issue:15 Volume:31 Page:4855-4874
ISSN:0920-4741
Container-title:Water Resources Management
language:en
Short-container-title:Water Resour Manage

Author:

Abdollahi Sajjad,Raeisi Jalil,Khalilianpour Mohammadreza,Ahmadi Farshad,Kisi Ozgur

Funder

Shahid Chamran University of Ahvaz

Shahrekord University

Publisher

Springer Science and Business Media LLC

Subject

Water Science and Technology,Civil and Structural Engineering

Link

http://link.springer.com/article/10.1007/s11269-017-1782-7/fulltext.html

Reference81 articles.

1. Abghari H, Ahmadi H, Besharat S, Rezaverdinejad V (2012) Prediction of daily pan evaporation using wavelet neural networks. Water Resour Manag 26:3639–3652. doi: 10.1007/s11269-012-0096-z

2. Adamowski JF (2008a) Development of a short-term river flood forecasting method for snowmelt driven floods based on wavelet and cross-wavelet analysis. J Hydrol 353:247–266. doi: 10.1016/j.jhydrol.2008.02.013

3. Adamowski JF (2008b) River flow forecasting using wavelet and cross-wavelet transform models. Hydrol Process 22:4877–4891. doi: 10.1002/hyp.7107

4. Adamowski J, Chan HF (2011) A wavelet neural network conjunction model for groundwater level forecasting. J Hydrol 407:28–40. doi: 10.1016/j.jhydrol.2011.06.013

5. Adamowski J, Sun K (2010) Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds. J Hydrol 390:85–91. doi: 10.1016/j.jhydrol.2010.06.033

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