Using of gene expression programming method for prediction of daily components of tidal cycle in tidal rivers-Reference-Cited by-同舟云学术

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Using of gene expression programming method for prediction of daily components of tidal cycle in tidal rivers

Published:2021-02-26 Issue:5 Volume:14 Page:
ISSN:1866-7511
Container-title:Arabian Journal of Geosciences
language:en
Short-container-title:Arab J Geosci

Author:

Adib Arash,Sheydaei Farhad,Shoushtari Mohammad Mahmoudian,Ashrafi Seyed Mohammad

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

http://link.springer.com/content/pdf/10.1007/s12517-021-06752-w.pdf

Reference43 articles.

1. Acreman MC (1994) Assessing the joint probability of fluvial and tidal floods in the river Roding. Water Environ J 8(5):490–496. https://doi.org/10.1111/j.1747-6593.1994.tb01140.x

2. Adib A, Jahanbakhshan H (2013) Stochastic approach to determination of suspended sediment concentration in tidal rivers by artificial neural network and genetic algorithm. Can J Civ Eng 40(4):299–312. https://doi.org/10.1139/cjce-2012-0373

3. Adib A, Javdan F (2015) Interactive approach for determination of salinity concentration in tidal rivers (Case study: The Karun River in Iran). Ain Shams Eng J 6(3):785–793. https://doi.org/10.1016/j.asej.2015.02.005

4. Adib A, Nasiriyani M (2016) Evaluation of fluvial flow effects on tidal characteristics of tidal rivers by artificial neural networks and genetic algorithm. Int J Water 10(1):13–27. https://doi.org/10.1504/IJW.2016.073739

5. Adib A, Kalaee MMK, Shoushtari MM, Khalili K (2017) Using of gene expression programming and climatic data for forecasting flow discharge by considering trend, normality, and stationarity analysis. Arab J Geosci 10(9) Article 208. https://doi.org/10.1007/s12517-017-2995-z

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