Modeling daily reference evapotranspiration via a novel approach based on support vector regression coupled with whale optimization algorithm
B Mohammadi, S Mehdizadeh - Agricultural Water Management, 2020 - Elsevier
In achieving water resource management goals such as irrigation scheduling, an accurate
estimate of reference evapotranspiration (ET 0) is critical. Support vector regression (SVR) …
estimate of reference evapotranspiration (ET 0) is critical. Support vector regression (SVR) …
Coupling a firefly algorithm with support vector regression to predict evaporation in northern Iran
R Moazenzadeh, B Mohammadi… - Engineering …, 2018 - Taylor & Francis
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 …
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 …
Meteorological data mining and hybrid data-intelligence models for reference evaporation simulation: A case study in Iraq
To model an agriculture process for any region, it is significantly essential to accurately
simulate the reference evaporation (ET o) from the available regional meteorological …
simulate the reference evaporation (ET o) from the available regional meteorological …
[HTML][HTML] Surface roughness prediction of machined aluminum alloy with wire electrical discharge machining by different machine learning algorithms
Aluminum alloys are preferred in aviation, aerospace and automotive industries because of
their high strength and durability compared to their lightness. Precision production of parts is …
their high strength and durability compared to their lightness. Precision production of parts is …
New double decomposition deep learning methods for river water level forecasting
Forecasting river water levels or streamflow water levels (SWL) is vital to optimising the
practical and sustainable use of available water resources. We propose a new deep …
practical and sustainable use of available water resources. We propose a new deep …
Review on generating optimal operation for dam and reservoir water system: simulation models and optimization algorithms
Accurate and reliable optimization and simulation of the dam reservoir system to ensure
optimal use of water resources cannot be achieved without precise and effective models …
optimal use of water resources cannot be achieved without precise and effective models …
Prediction of evaporation in arid and semi-arid regions: A comparative study using different machine learning models
Evaporation, one of the fundamental components of the hydrology cycle, is differently
influenced by various meteorological variables in different climatic regions. The accurate …
influenced by various meteorological variables in different climatic regions. The accurate …
Assessment of bio-inspired metaheuristic optimisation algorithms for estimating soil temperature
R Moazenzadeh, B Mohammadi - Geoderma, 2019 - Elsevier
Root zone temperature is one of the most important soil characteristics, controlling many of
the physical, chemical and biological processes in the soil. Temperature varies by soil …
the physical, chemical and biological processes in the soil. Temperature varies by soil …
A simple machine learning approach to model real-time streamflow using satellite inputs: Demonstration in a data scarce catchment
Real-time streamflow modeling is a challenging endeavor in regions where real-time ground-
based hydro-meteorological observations are scarce. Nevertheless, with the emergence of …
based hydro-meteorological observations are scarce. Nevertheless, with the emergence of …