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Review on applications of artificial intelligence methods for dam and reservoir-hydro-environment models
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 …
defenselessness policy against natural hazard but also identify rule to meet the water …
Coupling a firefly algorithm with support vector regression to predict evaporation in northern Iran
Evaporation accounts for varying shares of water balance under different climatic conditions,
and its correct prediction poses a significant challenge before water resources management …
and its correct prediction poses a significant challenge before water resources management …
[HTML][HTML] An integrated statistical-machine learning approach for runoff prediction
Nowadays, great attention has been attributed to the study of runoff and its fluctuation over
space and time. There is a crucial need for a good soil and water management system to …
space and time. There is a crucial need for a good soil and water management system to …
A comprehensive review of artificial intelligence-based methods for predicting pan evaporation rate
This comprehensive study reviews the latest and most popular artificial intelligence (AI)
techniques utilised for estimating pan evaporation (Ep), an essential parameter for water …
techniques utilised for estimating pan evaporation (Ep), an essential parameter for water …
Modeling of daily pan evaporation in sub tropical climates using ANN, LS-SVR, Fuzzy Logic, and ANFIS
This paper investigates the abilities of Artificial Neural Networks (ANN), Least Squares–
Support Vector Regression (LS-SVR), Fuzzy Logic, and Adaptive Neuro-Fuzzy Inference …
Support Vector Regression (LS-SVR), Fuzzy Logic, and Adaptive Neuro-Fuzzy Inference …
SVM, ANFIS, regression and climate based models for reference evapotranspiration modeling using limited climatic data in a semi-arid highland environment
The accurate estimation of reference evapotranspiration (ETo) becomes imperative in the
planning and management of irrigation practices. The Penman–Monteith FAO 56 (PMF-56) …
planning and management of irrigation practices. The Penman–Monteith FAO 56 (PMF-56) …
Daily reference evapotranspiration estimates by artificial neural networks technique and empirical equations using limited input climate variables
VZ Antonopoulos, AV Antonopoulos - Computers and Electronics in …, 2017 - Elsevier
The artificial neural networks (ANN) and the empirical methods of Priestley-Taylor, Makkink,
Hargreaves and mass transfer were used to estimate the reference evapotranspiration with …
Hargreaves and mass transfer were used to estimate the reference evapotranspiration with …
Modeling monthly pan evaporation using wavelet support vector regression and wavelet artificial neural networks in arid and humid climates
Evaporation rate is one of the key parameters in determining the ecological conditions and it
has an irrefutable role in the proper management of water resources. In this paper, the …
has an irrefutable role in the proper management of water resources. In this paper, the …
Flood flow forecasting using ANN, ANFIS and regression models
Flood prediction is an important for the design, planning and management of water
resources systems. This study presents the use of artificial neural networks (ANN), adaptive …
resources systems. This study presents the use of artificial neural networks (ANN), adaptive …
Modelling monthly pan evaporation utilising Random Forest and deep learning algorithms
Evaporation is the primary aspect causing water loss in the hydrological cycle; therefore,
water loss must be precisely measured. Evaporation is an intricate nonlinear process …
water loss must be precisely measured. Evaporation is an intricate nonlinear process …