nowadays artificial neural networks (anns) are being applied in several problems of water engineering where there is no clear relationship between effective parameters on the estimation of phenomenon. this research was used to measure aerodynamic data inside and outside greenhouse for estimating reference evapotranspiration in greenhouse by using anns. ann was used with perceptron multilayer st...

abstract reference evapotranspiration (eto) is an essential parameter required for proper management of agricultural crop irrigation. eto is influenced by many different hydrological variables and as a result is a very complex procces. eto is usually estimated by empirical or process-orinented models (mathematical relationships) from historical weather data. the need for accurate estimates of e...

abstract in this research, temporal trends of reference evapotranspiration (et0) values were investigated in arid regions of iran. for this purpose, the meteorological observations collected from 11 high quality meteorological sites for a 41-year period (1965-2005) were used and statistically significant et0 trends in the monthly, seasonal and annual time basis were detected by the non-parametr...

The evapotranspiration rate has a vital role in agricultural water management. In this paper, ability of Box-Jenkins models in forecasting the reference potential evapotranspiration is estimated. For this purpose meteorological data of Mehrabad synoptic station in Tehran was selected. Using this data and according to eight famous evapotranspiration equations amounts of evapotranspiration were f...

Evapotranspiration represents the combined loss of soil water from the earth’s surface to the atmosphere through evaporation of water from the soil or plant surfaces and transpiration via stomates of the plant. In agricultural production systems these two losses of water represent a major component of the water balance of the crop. If we examine evapotranspiration over time throughout a growing...

in this paper, a new framework has been developed for compatibility analysis of predictive climatic variables distribution with reference evapotranspiration (eto) in probabilistic analysis of water requirement. initially, measured monthly meteorological data of four cities of iran including kerman, shiraz, ramsar and babolsar synoptic weather station recorded from 1961 to 2003 were considered b...

Evapotranspiration (ET) is one of the major components of hydrologic cycle. Accurate estimation of this parameter is essential for studies such as water balance, irrigation system design and management, and water resources management. Generally we used climate data for calculating evapotranspiration from indirect methods. This study investigates the utility of artificial neural networks (ANNs) ...