Review on applications of artificial intelligence methods for dam and reservoir-hydro-environment models

Mohammed Falah Allawi, Othman Jaafar, Firdaus Mohamad Hamzah, Sharifah Mastura Syed Abdullah, Ahmed El-shafie

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

Efficacious operation for dam and reservoir system could guarantee not only a defenselessness policy against natural hazard but also identify rule to meet the water demand. Successful operation of dam and reservoir systems to ensure optimal use of water resources could be unattainable without accurate and reliable simulation models. According to the highly stochastic nature of hydrologic parameters, developing accurate predictive model that efficiently mimic such a complex pattern is an increasing domain of research. During the last two decades, artificial intelligence (AI) techniques have been significantly utilized for attaining a robust modeling to handle different stochastic hydrological parameters. AI techniques have also shown considerable progress in finding optimal rules for reservoir operation. This review research explores the history of developing AI in reservoir inflow forecasting and prediction of evaporation from a reservoir as the major components of the reservoir simulation. In addition, critical assessment of the advantages and disadvantages of integrated AI simulation methods with optimization methods has been reported. Future research on the potential of utilizing new innovative methods based AI techniques for reservoir simulation and optimization models have also been discussed. Finally, proposal for the new mathematical procedure to accomplish the realistic evaluation of the whole optimization model performance (reliability, resilience, and vulnerability indices) has been recommended.

Original languageEnglish
Pages (from-to)1-24
Number of pages24
JournalEnvironmental Science and Pollution Research
DOIs
Publication statusAccepted/In press - 3 Apr 2018

Fingerprint

artificial intelligence
Artificial Intelligence
Dams
Artificial intelligence
dam
Water Resources
simulation
Water resources
Research
Hazards
Evaporation
natural hazard
History
method
water demand
vulnerability
Water
inflow
evaporation
water resource

Keywords

  • Environmental
  • Hydrological parameters
  • Optimization models
  • Predictive models

ASJC Scopus subject areas

  • Environmental Chemistry
  • Pollution
  • Health, Toxicology and Mutagenesis

Cite this

Review on applications of artificial intelligence methods for dam and reservoir-hydro-environment models. / Allawi, Mohammed Falah; Jaafar, Othman; Mohamad Hamzah, Firdaus; Syed Abdullah, Sharifah Mastura; El-shafie, Ahmed.

In: Environmental Science and Pollution Research, 03.04.2018, p. 1-24.

Research output: Contribution to journalArticle

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