Browsing by Author "Usta, Selcuk"

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Creating a Solar Radiation Measuring System (Srms) Operated by a Programmable Logic Controller (Plc)
(Univ Namik Kemal, 2021) Gencoglan, Serpil; Gencoglan, Cafer; Usta, Selcuk
In this study, it is aimed to create a PLC controlled SRMS to be used in rural areas. Firstly a SRMS hardware was prepared consisting of power supply, PLC, analogue module and pyranometer units. Then, a SRMS software was written using CODESYS programming language to measure and record data and to control the hardware by PLC. SRMS software firstly collected the solar radiation in cumulatively by measuring every 30 minutes during the one day period, and determined the daily total solar radiation. Then it calculated the daily average solar radiation by dividing the daily total solar radiation by the number of measurements. It recorded the daily total and average solar radiation amounts on the SD card. SRMS was tested in Kahramanmaras Sutcu Imam University (KSU) during the July-November period of the 2019. The daily average solar radiation data recorded at KSU were compared with the data measured in the same period at the Eastern Mediterranean Transition Area Agricultural Research Institute (DAGTEM), located 10 km away. The daily average solar radiation data measured in KSU and DAGTEM varied between 3.63-33.48 MJ m(-2) day(-1) and 3.00-33.00 MJ m(-2) day(-1), respectively. Five-month averages of daily solar radiation data measured at both regions were determined 20.20 MJ m-2 day(-1) and 19.64 MJ m(-2) day(-1), respectively. The difference between the mean of KSU and DAGTEM data groups was not found to be statistically significant (p> 0.05). This result revealed that the daily average solar radiation values measured in both regions can be used interchangeably. As an expression of the deviation between data groups measured in both regions, the MAPE and RMSE were determined as 14.57% and 2.68 MJ m(-2) day(-1). The compatibility level of the data groups was obtained as "good" (MAPE= 10-20%). It was concluded that SRMS could measure the daily average solar radiation with high accuracy and could be used in sensitive measurements.
Measurement of Water Depth in a Class a Pan Using Ultrasonic Transducer and Programmable Logic Control (Plc)
(Univ Namik Kemal, 2023) Gencoglan, Cafer; Gencoglan, Serpil; Usta, Selcuk
The aim of this study is to compare water depths measured by manually and PLC from a Class A Pan in field conditions using ultrasonic transducer. The study was conducted in garden of Faculty of Agriculture, University of Kahramanmaras Sutcu Imam in the summer season of 2019. A steel meter was used to measure water depth manually in the evaporation pan. Using the ultrasonic transducer, PLC measured water depth from the evaporation pan between 140 and 223 mm water depth at 8:00 am. An ultrasonic transducer is attached one end of sliding buttress, at which was 50 cm above from its inner-bottom at the center of the evaporation pan. The ultrasonic transducer was set to be able to read water depth and calibrated using sliding buttress. A program was written in CODESYS-ST language to measure the water depth from a Class A Pan using PLC, which was connected the ultrasonic transducer and uploaded to PLC. With the program, digital water depths were converted to millimeter water depths. To be able to read the water depth more accurately, each depth value read by the PLC was determined by averaging 30 measurements made successively at 300 millisecond intervals. In this processes, moving average method was used. Water depth measured by PLC was saved on the SD (secure digital memory) card. In the manual water depth measurements, there were 26 observations. The water depths on the manual measurement dates were matched with the water depths measured by PLC. A regression analysis was performed between the water depths measured by the steel meter and PLC in the pan, and determination coefficient (R2) was result as 0.96. The Mean Absolute Percent Error (MAPE) of these two data sets was calculated as 2.3%. The level of agreement between the two data sets; if the MAPE is below 10%, it is considered "very good". The results of this study revealed that the PLC could measure the water depth close to the measured manually water depth in the evaporation pan with an ultrasonic transducer.
Estimation of Reference Evapotranspiration Using Some Class-A Pan Evaporimeter Pan Coefficient Estimation Models in Mediterranean-Southeastern Anatolian Transitional Zone Conditions of Turkey
(Peerj inc, 2024) Usta, Selcuk
Background. Reference evapotranspiration (ETo), which is used as the basic data in many studies within the scope of hydrology, meteorology, irrigation and soil sciences, can be estimated by using the evaporation (Epan) measured from the class-A pan evaporimeter. However, this method requires reliable pan coefficients (Kp). Many empirical models are used to estimate Kp coefficients. The reliability of these models varies depending on climatic and environmental conditions. Therefore, they need to be tested in the local conditions where they will be used. In this study, conducted in Kahramanmara,s, which has a semi-arid Mediterranean climate in Turkey during the July-October periods of 2020 and 2021, aimed to determine the usability levels of six Kp models in estimating daily and monthly average ETo. Methods. The Kp coefficients estimated by the models were multiplied with the daily Epan values, and the daily average ETo values were estimated on the basis of the model. The daily Epan values were measured using an ultrasonic sensor sensitive to the water surface placed on the class-A pan evaporimeter. The ultrasonic sensor was managed by a programmable logic controller (PLC). To enable the sensor to be managed by PLC, a software was prepared using the CODESYS programming language and uploaded to the PLC. The daily average ETo values determined by the FAO-56 Penman-Monteith equation were accepted as actual values. The ETo values estimated by the Kp models were compared with the actual ETo values using the mean absolute error (MAE), mean absolute percentage error (MAPE), root mean square error (RMSE) and determination Results. The Wahed & Snyder outperformed the other models in estimating daily (MAE = 0.78 mm day-1, MAPE = 14.40%, RMSE = 0.97 mm day-1, R2 = 0.82) and monthly (MAE = 0.32 mm day-1, MAPE = 5.88%, RMSE = 0.32 mm day-1, R2 = 0.99) average ETo. FAO-56 showed the nearest performance to Wahed & Snyder. The Snyder model presented the worst performance in estimating daily (MAE = 2.09 mm day-1, MAPE = 37.53%, RMSE = 2.36 mm day-1, R2 = 0.82) and monthly (MAE = 1.83 mm day-1, MAPE = 31.82%, RMSE = 1.87 mm day-1, R2 = 0.99) average ETo. It has been concluded that none of the six Kp models can be used to estimate the daily ETo in Kahramanmara,s located in the Mediterranean-Southeastern Anatolian transitional zone, and only Wahed & Snyder and FAO-56 can be used to estimate the monthly ETo without calibration.