A5002246570- Hydrology and Drought Analysis
- Hydrological Forecasting Using AI
- Climate variability and models
- Hydrology and Watershed Management Studies
- Water resources management and optimization
- Irrigation Practices and Water Management
- Plant Water Relations and Carbon Dynamics
- Climate change impacts on agriculture
- Water Quality and Pollution Assessment
- Flood Risk Assessment and Management
- Financial Risk and Volatility Modeling
- Energy Load and Power Forecasting
- Precipitation Measurement and Analysis
- Water management and technologies
- Islamic Finance and Banking Studies
- Soil erosion and sediment transport
- Water Systems and Optimization
- Solar Radiation and Photovoltaics
- Stock Market Forecasting Methods
- Multidisciplinary Science and Engineering Research
- Groundwater and Watershed Analysis
- Artificial Intelligence and Decision Support Systems
- Time Series Analysis and Forecasting
- Transboundary Water Resource Management
- Air Quality Monitoring and Forecasting
Tokat Gaziosmanpaşa Üniversitesi
2009-2023
Abstract The estimation of maximum daily rainfall (PDmax) is usually required for the design flood (the that any hydraulic structure can safely pass). However, PDmax watersheds where data are either not available or only in short periods from various sites and so unsuitable estimation. In this study, regional Cekerek watershed Turkey estimated using method l‐moments 17 stations region. discordant test outlier showed no station Applying homogeneity measure, H i , homogeneous region was...
This paper investigates the potential of back propagation neural network and M5 model tree based regression approaches to monthly reference evapotranspiration using climatic data an area around Ankara, Turkey. Input parameters include total sunshine hours, air temperature, relative humidity, wind speed, rainfall, time index, whereas calculated by FAO{56 Penman{Monteith was used as output for both approaches. Mean square error, correlation coecient, several other statistics were considered...
ABSTRACTThis paper aimed to estimate the reference evapotranspiration (ET0) due some limitations of Food and Agriculture Organization-56 Penman-Monteith (FAO 56-PM) approach by using five alternative machine learning models. The study makes an important contribution ET0 estimation success for 12 stations with variable climate characteristics in Central Anatolian Region (CAR). performances models were compared coefficient determination (R2), mean absolute error (MAE), root square (RMSE)...
Abstract The aim of this study is to determine whether the daily extreme streamflows could be generated by stochastic models. For study, a linear model known as either Box-Jenkins or ARIMA was used. A Mann-Kendal nonparametric test applied data sequences examine existence trends. This showed that there no trend in sequences. referred ARMA since and thus, non-seasonal differencing operator equal zero. By using graphs ACF PACF, alternative models were determined. plots show dependence between...
A variety of methods and statistical tests are being used to identify existence trends in time series water quality parameters. In this study, it was attempted sudden changes for selected parameters at the Yesilirmak River-Durucasu monitoring station. For purpose, grouped periods, which do not exhibit inhomogeneity median variance values among years, were constituted each parameter using graphical non-parametric tests. Considering test results, even though different periods observed...