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Toplam kayıt 15, listelenen: 1-10
Evapotranspiration estimation using support vector machines and Hargreaves-Samani equation for St. Johns, FL, USA
(Vilnius Gediminas Technical University Publishing House "Technika", 2017)
Information about Evapotranspiration (ET) calculations are not clear enough even it is an important part of hydrological cycle. There are many parameters which effect ET directly or indirectly such as Solar Radiation (SR) ...
Evapotranspiration prediction using M5T method and ritchie equation for St. Johns, FL, USA
(Vilnius Gediminas Technical University Publishing House "Technika", 2017)
Evapotranspiration (ET) estimation takes an important role in hydraulic designs and agricultural yield. Even it is non-negligible for hydraulic designers and irrigation engineers it is not clear enough to estimate or ...
Groundwater level prediction using Support Vektor Machines and autoregressive (AR) modelss
(Vilnius Gediminas Technical University Publishing House "Technika", 2017)
Water resources managers can benefit from accurate prediction of the availability of groundwater. Ground water is a major source of water in Turkey for irrigation, water supply and industrial uses. The ground water level ...
3-D real dam reservoir model for seasonal thermal density flow
(Gh. Asachi Technical University of Iasi, 2017)
The efficient use of fresh water sources and proper modeling of the water quality can only be possible when flows in the dam reservoir are well defined. Therefore, in this study, a hydrodynamics model of an actual dam ...
Estimation of wind energy power using different artificial intelligence techniques and empirical equations
(Taylor and Francis Inc., 2019)
The understanding of the behavior of a wind turbine is difficult due to changes in weather conditions. To obtain the response of a wind turbine influenced by changes in both wind speed and its direction, using the ...
Estimating the energy production of the wind turbine using artificial neural network
(Springer-Verlag London Ltd, 2016)
Due to fluctuating weather conditions, estimating wind energy potential is still a significant problem. Artificial neural networks (ANNs) have been commonly used in short-term and just-in-time modeling of wind power ...
Daily reference evapotranspiration prediction based on climatic conditions applying different data mining techniques and empirical equations
(Springer Wien, 2020)
Considering evapotranspiration takes a basic role in the hydrologic cycle, water resources management, and irrigation water requirements. Evapotranspiration estimation is not an easy case because of the number of direct ...
Estimation of wind energy power using different artificial intelligence techniques and empirical equations
(Taylor and Francis, 2021)
The understanding of the behavior of a wind turbine is difficult due to changes in weather conditions. To obtain the response of a wind turbine influenced by changes in both wind speed and its direction, using the ...
Estimation of daily evapotranspiration in Kosice City (Slovakia) using several soft computing techniques
(Springer, 2021)
Accurate estimation of evapotranspiration is one of the main aspects of water management. In this study, the capabilities of soft computing techniques for estimating daily evapotranspiration in Košice (Slovakia) were ...
Evaluation of long-term air temperature, precipitation and flow rate parameters trend change using different approaches: a case study of Amik plain, Hatay
(Springer, 2021)
The investigation of the trend change of climatic parameters during a time scale is one of the most important issues of climatological research. Awareness of the trend of climatic variables is essential for different ...