The state-of-the-art genetic programming (GP) method is an evolutionary algorithm for
automatic generation of computer programs. In recent decades, GP has been frequently …

Evapotranspiration is one of the most important components of hydrologic cycle for optimal
management of water resources, especially in arid and semi-arid regions such as Iran. The …

In the current study, the ability of three data-driven methods of Gene Expression
Programming (GEP), M5 model tree (M5), and Support Vector Regression (SVR) were …

It is necessary to observe the relationship between the energy inputs and outputs of
agricultural production in the context of long-term strategies to determine optimal …

Assessment of solar potential over a location of interest is introduced as an important step
for the successful planning of solar energy systems (photovoltaic or thermal). Due to the …

Evapotranspiration (ET) is considered as a key factor in hydrological and climatological
studies, agricultural water management, irrigation scheduling, etc. It can be directly …

In the present research, three different data-driven models (DDMs) are developed to predict
the discharge coefficient of streamlined weirs (C dstw). Some machine-learning methods …

Accurate reference crop evapotranspiration (ET 0) estimation is essential for agricultural
water management, crop productivity, and irrigation systems. As the standard ET 0 …

River flow rates are important for water resources projects. Given this, the current study
explored the use of autoregressive (AR) and moving average (MA) techniques as individual …

Groundwater management is key to attaining sustainable development goals, especially in
arid and semi-arid countries. Hence, a precise estimate of the aquifer hydrodynamic …