Viability of the advanced adaptive neuro-fuzzy inference system model on reservoir evaporation process simulation: case study of Nasser Lake in Egypt

Viability of the advanced adaptive neuro-fuzzy inference system model on reservoir evaporation process simulation: case study of Nasser Lake in Egypt

Reliable prediction of evaporative losses from reservoirs is an essential component of reservoir management and operation. Conventional models generally used for evaporation prediction have a number of drawbacks as they are based on several assumptions. A novel approach called the co-active neuro-fu...

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Bibliographic Details
Main Authors: Sinan Q. Salih, Mohammed Falah Allawi, Ali A. Yousif, Asaad M. Armanuos, Mandeep Kaur Saggi, Mumtaz Ali, Shamsuddin Shahid, Nadhir Al-Ansari, Zaher Mundher Yaseen, Kwok-Wing Chau
Format: Article
Language:English
Published: Taylor & Francis Group 2019-01-01
Series:Engineering Applications of Computational Fluid Mechanics
Subjects:
reservoir operation
evaporation prediction
artificial intelligent models
canfis
arid environment
Online Access:http://dx.doi.org/10.1080/19942060.2019.1647879

Internet

http://dx.doi.org/10.1080/19942060.2019.1647879

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