Browsing Mühendislik Fakültesi by Author "Çeribaşı, Gökmen"

Now showing items 1-6 of 9

Application of trend analysis and artificial neural networks methods: The case of Sakarya River

Çeribaşı, Gökmen; Doğan, Emrah; U. Akkaya; U. E. Kocamaz (SHARIF UNIV TECHNOLOGY, 2017)

Various artificial intelligence techniques are used in order to make prospective estimations with available data. The most common and applied method among these artificial intelligence techniques is Artificial Neural ...
APPLICATION OF TREND ANALYSIS METHOD ON RAINFALL STREAM FLOW-SUSPENDED LOAD DATAS OF WEST AND EAST BLACK SEA BASINS AND SAKARYA BASIN

Çeribaşı, Gökmen; Doğan, Emrah (PARLAR SCIENTIFIC PUBLICATIONS (P S P), 2016)

In hydraulic engineering, it is of vital importance to estimate suspended load correctly in planning and projecting stream structures. On the other hand, problems increase with the effect of heating and climate changes in ...
EVALUATION OF METEOROLOGICAL AND HYDROLOGICAL DATA OF SAPANCA BASIN BY TREND ANALYSIS METHOD

Çeribaşı, Gökmen; Doğan, Emrah; Sönmez, Osman (SCIBULCOM LTD, 2014)

In this study, according to the data obtained from the monitoring stations in the Sapanca basin, trend analysis is applied to the meteorological and hydrological data of the lake Sapanca such as temperature, surface ...
EVALUATION OF SAKARYA RIVER STREAMFLOW AND SEDIMENT TRANSPORT WITH RAINFALL USING TREND ANALYSIS

Çeribaşı, Gökmen; Doğan, Emrah; Sönmez, Osman (PARLAR SCIENTIFIC PUBLICATIONS (P S P), 2013)

Water has always been the focus of living things and civilizations have been established mainly in areas close to water. However, to meet the growing need for water, measures were taken such as transporting water from areas ...
IMPACT OF CLIMATE CHANGE ON THE DAILY WATER LEVEL FLUCTUATION OF LAKE SAPANCA

Sönmez, Osman; Doğan, Emrah; Çeribaşı, Gökmen (PARLAR SCIENTIFIC PUBLICATIONS (P S P), 2013)

In this research, scenarios regarding the relation between the climate factors of Lake Sapanca and the changes in the lake water level were analyzed using artificial neural network (ANN) models. Climate factors consist of ...
SHORT AND LONG TERM STREAMFLOW PREDICTION BY DIFFERENT NEURAL NETWORK APPROACHES AND TREND ANALYSIS METHODS: CASE STUDY OF SAKARYA RIVER, TURKEY

Sönmez, Osman; Çeribaşı, Gökmen; Doğan, Emrah (PARLAR SCIENTIFIC PUBLICATIONS (P S P), 2016)

The estimation of flow is required for planning and operating many hydraulic structure in rivers. This study presents the application of Artificial Neural Networks (ANNs) and trend analysis methods in predicting short and ...