Halit ApaydinAnkara University · Department of Agricultural engineering
Halit Apaydin
PhD
About
51
Publications
13,907
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975
Citations
Citations since 2017
Introduction
Halit Apaydin currently works at the Department of Agricultural Engineering, Faculty of Agriculture, Ankara University. General research interests are hydrology, artificial intelligence and geographic information systems.
Additional affiliations
November 2011 - present
January 1994 - November 2011
Education
September 1995 - May 2002
September 1992 - September 1995
September 1988 - June 1992
Publications
Publications (51)
An alternative energy source such as solar is one of the most important renewable resources. A reliable solar radiation prediction is essential for various applications in agriculture, industry, transport, and the environment because they reduce greenhouse gases and are environmentally friendly. Solar radiation data series have embedded fluctuation...
Air pollution is an increasingly critical global issue around the world largely attributed to rapid industrial development, the rise in the world’s population, and the ever increasing number of cars on the roads. Air pollution is a serious health risk and environmental concerns in many countries. Turkey has seen major industrial development in rece...
One of the important parameters in water quality, especially surface water, is the amount of turbidity in the water which can have a harmful effect on irrigation water and drinking water. Existing methods for measuring water turbidity, although relatively simple, are costly due to the need for a turbidity meter. In addition, human intervention or n...
Drought is a natural, global and recurring phenomenon caused by climatic anomalies and inevitable meteorological changes. Lake Urmia in northwestern Iran has been drying up in recent years mainly because of its management and operations. On the other hand, with decreasing rainfall, the process of the lake drying up has intensified and affected diff...
Reliable and accurate prediction models effectively deal with nonlinear and non-stationary characteristics of reservoir inflow and associated variables. Therefore, a Hybrid Deep Learning Inflow Prediction-Rolling Window (HDeepLIP-RW) framework is proposed in this study for efficient inflow prediction. The HDeepLIP-RW framework utilizes hybrid alter...
Prediction of streamflow is important in managing surface water resources, especially in agricultural production. The streamflow process is a function of different variables, primarily the spatial and temporal distribution of meteorological parameters, catchment and river physical characteristics. The complex nonlinear relationship between streamfl...
Evapotranspiration is one of the most important elements of the hydrological cycle. Estimation of evapotranspiration is imperative for effective forest, irrigation, rangeland and water resources management as well as to increase yields and for better crop management. This study aims to evaluate the effectiveness of the Surface Energy Balance Algori...
Accurate and reliable streamflow forecasting is indispensable to deal with the dynamics of streamflow parameters and for optimal use of water resources, flood, and drought control. In this study, a hybrid-forecasting model integrating improved complete ensemble empirical mode decomposition with additive noise (ICEEMDAN)-Sample Entropy (SE)-Gini Ind...
The nature of streamflow in the basins is stochastic and complex making it difficult to make an accurate prediction about the future river flows. Recently, artificial neural-based deep learning models with a nonlinear structure have become predominant in water engineering forecasting problems such as river flow predictions. In this study, we invest...
Knowledge of water quality is an important requirement in planning, developing , and protecting water resources. Therefore, it is essential to determine the quality of water for various uses, including irrigation in different areas. The aim of this study is to evaluate the performance of different data mining methods using water quality parameters...
Accuracy of solar irradiance forecasting is imperative for the effective utilization and integration of solar energy into the power system. To forecast global horizontal irradiance based on a multivariate meteorological data; this study first evaluates five standalone models, including recurrent deterministic policy gradient (RDPG), long short term...
Timely and accurate estimation of reference evapotranspiration (ET 0) is indispensable for agricultural water management for efficient water use. This study aims to estimate the amount of ET 0 with machine learning approaches by using minimum meteorological parameters in the Co-rum region, which has an arid and semi-arid climate and is regarded as...
It is clearly known that precipitation is essential for fauna and flora. Studies have shown that location and temporal factors have an effect on precipitation. Accurate prediction of precipitation is very important for water resource management, and artificial intelligence methods are frequently used to make such predictions. In this study, the dee...
The temperature of the soil at different depths is one of the most important factors used in different disciplines, such as hydrology, soil science, civil engineering, construction, geotechnology, ecology, meteorology, agriculture, and environmental studies. In addition to physical and spatial variables, meteorological elements are also effective i...
Surface water quality control plays a significant role in water resource management. One of the most important water quality parameters in the field of agricultural activities is sodium adsorption ratio (SAR), and its estimation and evaluation are necessary. In this study, a support vector regression (SVR) model with different kernel functions; K n...
In this study, the class A pan coefficient (Kp) values were simulated via the M5 tree model, by using daily meteorological data of four stations in East Azerbaijan province, which has arid and cold climate in the northwest of Iran. Firstly, FAO-24 and FAO-56 methods, which are commonly used to calculate Kp values, were taken into consideration in t...
Proper estimation of the reference evapotranspiration (ET0) amount is an indispensable matter for agricultural water management in the efficient use of water. The aim of study is to estimate the amount of ET0 with a different machine and deep learning methods by using minimum meteorological parameters in the Corum region which is an arid and semi-a...
The amount of water allocated to irrigation systems is significantly greater than the amount allocated to other sectors. Thus, irrigation water demand management is at the center of the attention of the Ministry of Agriculture and Forestry in Turkey. To plan more effective irrigation systems in agriculture, it is necessary to accurately calculate p...
Due to the stochastic nature and complexity of flow, as well as the existence of hydrological
uncertainties, predicting streamflow in dam reservoirs, especially in semi-arid and arid areas,
is essential for the optimal and timely use of surface water resources. In this research, daily streamflow
to the Ermenek hydroelectric dam reservoir located in...
In this study, it is aimed to predict drought in Nallihan region by using streamflow drought index and artificial neural network method which is a part of artificial intelligence approaches. The measured data of some meteorological stations (Nallihan, Beypazari, Mihaliccik, Catacik, Goynuk, Mudurnu, Seben and Eskisehir) in the Sakarya Basin and the...
![Figure 4. Generalized regression neural network structure [4]](profile/Halit-Apaydin/publication/339624518/figure/fig4/AS:864631190994944@1583155548432/Generalized-regression-neural-network-structure-4_Q320.jpg)
This study investigate the potential of M5 model tree in predicting daily stream flows in Sohu river located within the municipal borders of Ankara, Turkey. The results of the M5 model tree was compared with support vector machines. Both modelling approaches were used to forecast up to 7-day ahead stream flow. A comparison of correlation coefficien...
In Iran, an arid and semiarid country, the distribution of precipitation is irregular and uneven, making the replenishment of reservoirs difficult during periods of scant rainfall. In this paper, a method has been devised to make available the maximum amount of water for irrigation, drinking, and the flow regime of Sofi Creek. The optimal performan...
Optimum irrigation reservoir operation is a significant issue for water management decision makers. In this study, we used 4 different datasets of monthly amounts of water to be released from the Eleviyan irrigation reservoir in Iran as inputs in a data mining model; “if–conditional” operating rules were determined as outputs. Operating rules deriv...
Global climate change causes a decrease of precipitation in Turkey, as in many other parts of the world. As a result, droughts have now occurred over a larger area and in a more drastic way than in the past. Determining the factors in the formation and early prediction of drought will allow required measures of prevention to be taken in time. The p...
In this study, daily rainfall–runoff relationships for Sohu Stream were modelled using an artificial neural network (ANN) method by including the feed-forward back-propagation method. The ANN part was divided into two stages. During the first stage, current flows were estimated by using previously measured flow data. The best network architecture w...
A two-phase research was implemented to determine the effect of topography on climate parameters by using spatial interpolation and conventional statistical procedures in non-homogeneous topography. The primary set of climate data for the Central Anatolia Region includes monthly mean global solar radiation, sunshine duration, surface air temperatur...
In this study, regional frequency analysis of annual rainfall totals is carried out through methods of L-moments in Konya Closed Basin. Annual total rainfall series are formed using rainfall records obtained from 44 rain gauge stations. Firstly, whole stations in Konya Closed Basin are assumed one region and then stations are split up three sub-reg...
In this study, at-site and regional frequency analysis of rainfall data are carried out through methods of L-moments in Ankara province. Annual maxima and partial-duration series are formed using daily rainfall records obtained from rainfall gauging stations. In the first stage, L-moments and L-moment ratios, and probability distribution parameters...
Non-point source pollution has become a significant topic for several researches and these researches have revealed numerous models and modeling techniques. In this study, commonly used rainfall-runoff-erosion model (AGNPS-Agricultural Non-Point Source Pollution Model) was examined to investigate its applicability on steep slopes. The use of GIS to...
As a result of rapid population growth and industrialization with increased water demand, domestic and industrial waste has increased. Wastewater left to streams and rivers without treatment is polluting the environment. The purpose of this study is to explain the importance of the constructed wetlands for wastewater treatment and to provide inform...
Many parts of natural disaster have risen with climatologically and occur as flood. Floods, occurred in the coastal part of Turkey, may damage human life and property. As well as natural disaster, to design of urban drainage networks, transportation and hydraulic structures; it is very important to evaluate extreme precipitation for the management...
Many parts of natural disaster have risen with climatologically and occur as flood. Floods, occurred in the coastal part of Turkey, may damage human life and property. As well as natural disaster, to design of urban drainage networks, transportation and hydraulic structures; it is very important to evaluate extreme precipitation for the management...
Rainfall distributions in Iran are spatially and temporally heterogeneous, a fact probably linked to the mostly arid and semi-arid
climate of the country. On the other hand, water demand is increasing with increasing population and improving life style.
At present, the optimal utilization of water resources and irrigation dams is the primary concer...
This paper presents a methodology on modeling of monthly-suspended sediment data from the Yesilirmak Basin, Turkey. For this purpose, linear stochastic models known as either Box-Jenkins or ARIMA (autoregressive-moving average) were used to simu- late monthly sediment data. Diagnostic checks were done for all the models selected by considering the...
Flood frequency analysis has an important role in water resources projects. A probability distribution for a station could be precisely determined when sufficiently long record of flood discharges is available and also not many changes are occurred during observation period [Okur, 1999]. However, in most cases, available data at a station are insuf...
The determination of optimal station location for the measurement of flow and water quality in streams is crucial in environmental, agricultural, and ecological studies. The objective of this study is to determine these optimal locations for the stream flow and water quality in the Southeastern Anatolia Project (GAP) region of Turkey using the Digi...
A two phases research has been planned to determine the spatial variability of climate parameters and the effect of topography on climate parameters in non-homogeneous topography. In first phase, statistical relationships like regression equation, coefficient of determination, coefficient of variation between topographical properties (elevation, sl...
Proper modelling of extreme natural events such as floods may protect human life and property. A reliable estimation of magnitude and frequency of flood events is of great significance in minimizing damages by facilitating proper planning and design of hydraulic structures. In this study, the L-moment methods were used for regional flood frequency...
There is a need to understand and analyze rainfall variability, since it is most variable in time and space, for assessing the erosive potential of rainfall and its impacts on soil erosion and conservation measures. In order to have a spatially realistic surface of the modified fournier index (MFI) and a statistically valid method, two different pr...
The SLURP model was tested for the transferability of calibrated model parameters for different time periods in the Aksu Basin in the Black Sea region in Turkey. Two different scenarios were tested. The first scenario used three data sets: 1980–1982 data for calibration, 1983–1984 data for validation, and 1995–2000 data for evaluation. The second s...
Detailed geomorphologic characteristics need to be compiled for performing hydrologic modeling of a basin. Basin form and hydrologic characteristics are to be related so the basin form must also be represented by quantitative descriptors. The typical morphologic characteristics used in hydrological analyses are basin area, perimeter, mainstream len...
The main function of drip irrigation is to meet consumptive water use requirements of a crop within certain hydraulic and uniformity conditions. In this study, a graphical method was evaluated for determining lateral and manifold pipe diameters to obtain water distribution with an acceptable uniformity in drip irrigation. It was suggested that pipe...
Six spatial interpolation techniques (inverse distance weighted, global polynomial interpolation, local polynomial interpolation, completely regularized spline, kriging and cokriging with 4 sub-types) were evaluated to deter-mine the best spatial distribution of 6 different climate parameters (solar radiation, sunshine duration, temperature, relati...
Most of the annual sediment yield from a watershed is transported by a stream during a small number of floods that occur in a relatively short period of time in a year. The aim of this article is to determine the possibilities of using only flood discharges for estimating transported suspended sediment loads to obtain easy and quick sediment load d...
Pan evaporation measurements are widely used to estimate evapotranspiration and free water evaporation. Pan evaporation measurements are critical to many applications including irrigation system design, irrigation scheduling, and hydrologic modeling. In many locations, reliable climate measurements consist of daily minimum screen temperature, daily...
Questions
Question (1)
Dear fellows,
We are looking for a Computer/Software/Civil Engineer partner for our team, which conducts academic studies on water resources and artificial intelligence. The main target of our team is publications in Science Citation Index (SCI) and national/international scientific projects. In our works, we usually work by dividing the work (writing article sections, data supply, Weka/Python studies, etc.). Our study topics can be reviewed on my ResearchGate page. Basically, partner has at least 3 publications in SCI, has the title of Dr. or PhD candidate, has fluent English, and the most important thing is to be knowledgeable and experienced in writing projects / articles.
If anyone is interested, please contact me through a private message or e-mail.
Best,
Halit
Projects
Project (1)
This research was carried out at Ankara University to estimate and prediction the Qualitative variables of water quality in the Aladag River in Turkey.
