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Toplam kayıt 13, listelenen: 1-10
Evapotranspiration prediction using adaptive neuro-fuzzy inference system and Penman FAO 56 equation for St. Johns, FL, USA
(Vilnius Gediminas Technical University Publishing House "Technika", 2017)
Evapotranspiration (ET) estimation is a primary problem for irrigation engineers and hydraulic designers because it is an important part of hydrologic cycle. Even it is non-negligible in hydraulic design calculations, it ...
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) ...
Estimation of groundwater level using artificial neural networks: A case study of Hatay-Turkey
(Vilnius Gediminas Technical University Publishing House "Technika", 2017)
Groundwater, which is a strategic resource in Turkey, is used for drinking-use, agricultural irrigation and industrial purposes. Population increase and total water consumption are constantly increasing. In order to meet ...
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 ...
Yapay sinir ağları yöntemi kullanılarak buharlaşma miktarı tahmini
(2018)
Buharlaşma tahmini, özellikle kurak dönemlerde ve kurak alanlarda, sulama yönetiminde ve hidroliktasarımlarda önemli bir rol oynar. Bu çalışmada, Hargreaves-Samani, Ritchie ve Turc denklemleri gibiampirik (geleneksel) ...
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 ...
Estimating dam reservoir level fluctuations using data-driven techniques
(Hard, 2019)
Estimating dam reservoir level is very important in terms of the operation of a dam, the safety of transport in the river, the design of hydraulic structures, and determining pollution, the salinity of the river flow ...