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Toplam kayıt 17, 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 ...
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 ...
Modeling of groundwater level using artificial intelligence techniques: A case study of Reyhanli region in Turkey
(Corvinus University of Budapest, 2019)
Determination of the change in groundwater level in terms of planning and managing resources is important. In this study, the groundwater level of Reyhanli region in Turkey was predicted using multi-linear regression (MLR), ...
Destek Vektör Makineleri ve M5 Karar Ağacı Yöntemleri Kullanılarak Yağış-Akış İlişkisinin Tahmini
(Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi, 2019)
Havza yönetimi ve afetlerin engellenmesi, su kaynaklarının daha verimli kullanılması ve su yapılarının inşasının planlaması amacı ile yağış ve akış verilerinin tahmini büyük önem taşımaktadır. Bu çalışmada Amerika Birleşik ...
Farklı Konfigürasyonlarda Çelik Metamalzemeler Kullanarak Sismik Etkilerin Azaltılması
(Türk deprem araştırma dergisi (Online), 2021)
Depremlerin yıkıcı etkilerini azaltmak için yapılan çalışmalar, son zamanlarda üzerinde durulan araştırma
konuları arasındadır. Bu çalışmada, kare, üçgen, sinüs ve daire olmak üzere dört farklı saha dizisinde çelik
met ...