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Toplam kayıt 13, listelenen: 1-10
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 ...
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) ...
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 ...
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 ...
Nehirlerdeki Katı Madde Miktarının Bulanık SMGRT Yöntemi ile Tahmini
(Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, 2021)
Nehirlerdeki katı madde miktarının doğru tahmin edilmesi; kirliliğin belirlenmesi, akarsu taşımacılığı, barajömrünün tespiti vb. konularda oldukça önemlidir. Bu çalışmada, Çoklu Doğrusal Regresyon (ÇDR) BulanıkMantık- ...
Keban Baraj Gölü Seviye Değişiminin ANFİS ve Destek Vektör Makineleri ile Tahmini
(Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi (Online), 2020)
Bir baraj haznesindeki su seviyesinin doğru tahmini, su kaynaklarının yönetiminioptimize etmek için önemlidir. Bu çalışmada, Adaptif Sinirsel Bulanık Çıkarımsistemi (ANFIS) ve Destek Vektör Makineleri (DVM) metotları ...
A comparative study on daily evapotranspiration estimation by using various artificial intelligence techniques and traditional regression calculations
(American Institute of Mathematical Sciences, 2023)
Evapotranspiration is an important parameter to be considered in hydrology. In the design of water structures, accurate estimation of the amount of evapotranspiration allows for safer designs. Thus, maximum efficiency can ...
Laboratory and numerical investigation of the 2-array submerged vanes in meandering open channel
(American Institute of Mathematical Sciences, 2023)
In the case of flooding in rivers, river regulation structures are important since scours occur on the outer meander due to high flow velocities. In this study, 2-array submerged vane structures were investigated which is ...