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Toplam kayıt 27, listelenen: 1-10
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 ...
River Flow Estimation Using Artificial Intelligence and Fuzzy Techniques
(MDPI, 2020)
Accurate determination of river flows and variations is used for the efficient use of water resources, the planning of construction of water structures, and preventing flood disasters. However, accurate flow prediction is ...
Flood Hydraulic Analyses: A Case Study of Amik Plain, Turkey
(MDPI, 2020)
In recent years, significant flood events have occurred in various parts of the world. The most important reasons for these events are global warming and consequent imbalances in climate and rainfall regimes. Many studies ...
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 ...
Numerical investigation of temporal variation of density flow and parameters
(Isfahan University of Technology, 2017)
Experimental investigations and observations indicate that water quality modeling is related to the formation of flows in the dam reservoirs. Correct estimation of dam reservoir flow, plunging point and plunging depth are ...
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 ...
Modeling of dam reservoir volume using generalized regression neural network, support vector machines and m5 decision tree models
(Corvinus University of Budapest, 2019)
Dam reservoir capacity estimation is an important issue for operation, design and safety assessments of dam structures. In this study, the reservoir capacity of the Stony Brook dam in the USA was estimated by Generalized ...