evaluating artificial neural network and physical-empirical models of reference crop evapotranspiration estimation in semi-arid climate
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منابع مشابه
Estimation of Reference Evapotranspiration Using Artificial Neural Network Models and the Hybrid Wavelet Neural Network
Estimation of evapotranspiration is essential for planning, designing and managing irrigation and drainage schemes, as well as water resources management. In this research, artificial neural networks, neural network wavelet model, multivariate regression and Hargreaves' empirical method were used to estimate reference evapotranspiration in order to determine the best model in terms of efficienc...
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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...
متن کاملComparison of M5 Model Tree and Artificial Neural Network for Estimating Potential Evapotranspiration in Semi-arid Climates
Evaporation is a fundamental parameter in the hydrological cycle. This study examines the performance of M5model tree and artificial neural network (ANN) models in estimating potential evapotranspiration calculated byPenman- Monteith and Hargreaves- Samani equations. Daily weather data from two meteorological stations in asemi-arid climate of Iran, namely Kerman and Zahedan, were collected duri...
متن کاملcomparison of regression tree, artificial neural network and hargrives-samani in estimation of reference evapotranspiration in semi region
the purpose of this study was to evaluate three models of artificial neural networks (ann), regression trees (m5) and hargrives-samani (hg) in estimation of reference evapotranspiration. for this purpose was used climate information of sistan va baloochestan, kerman, yazd and khorasan jonoobi from 1998 to 2008. in addition to effect of wind (u) on evapotranspiration (et0), estimation of et0 was...
متن کاملGroundwater level fluctuation forecasting Using Artificial Neural Network in Arid and Semi-Arid Environment
In arid and semi-arid environments, groundwater plays a significant role in the ecosystem. In the last decades, groundwater levels have decreased due to the increasing demand for water, weak irrigation management and soil damage. For the effective management of groundwater, it is important to model and predict fluctuations in groundwater levels. In this study, groundwater table in Kashan plain ...
متن کاملEstimation Of Reference Crop Evapotranspiration Using Fuzzy State Models
Daily evapotranspiration (ET) rates are needed for irrigation scheduling. Owing to the difficulty of obtaining accurate field measurements, ET rates are commonly estimated from weather parameters. A few empirical or semi–empirical methods have been developed for assessing daily reference crop ET, which is converted to actual crop ET using crop coefficients. The FAO Penman–Monteith method, which...
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عنوان ژورنال:
دانش آب و خاکجلد ۲۵، شماره شماره ۴ بخش ۲، صفحات ۱۳۷-۱۵۲
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