Review on applications of artificial intelligence methods for dam and reservoir-hydro-environment models
作者： Mohammed Falah Allawi , Othman Jaafar , Firdaus Mohamad Hamzah , Sharifah Mastura Syed Abdullah , Ahmed El-shafie
DOI: 10.1007/S11356-018-1867-8
关键词:
摘要: 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 of systems ensure optimal use resources be unattainable without accurate reliable simulation models. According highly stochastic nature hydrologic parameters, developing predictive model that efficiently mimic such complex pattern is an increasing domain research. During last two decades, artificial intelligence (AI) techniques have been significantly utilized attaining robust modeling handle different hydrological parameters. AI shown considerable progress in finding rules operation. This review research explores history inflow forecasting prediction evaporation from as major components simulation. In addition, critical assessment advantages disadvantages integrated methods with optimization has reported. Future on potential utilizing new innovative based models discussed. Finally, proposal mathematical procedure accomplish realistic evaluation whole performance (reliability, resilience, vulnerability indices) recommended.
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