Atıf İçin Kopyala
Usta S.
PEERJ, cilt.12, ss.1-27, 2024 (SCI-Expanded)
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Yayın Türü:
Makale / Tam Makale
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Cilt numarası:
12
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Basım Tarihi:
2024
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Doi Numarası:
10.7717/peerj.17685
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Dergi Adı:
PEERJ
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Derginin Tarandığı İndeksler:
Science Citation Index Expanded (SCI-EXPANDED), Scopus, BIOSIS, MEDLINE, Veterinary Science Database, Directory of Open Access Journals
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Sayfa Sayıları:
ss.1-27
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Van Yüzüncü Yıl Üniversitesi Adresli:
Evet
Özet
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 Kahramanmaraş, 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 coefficient (R2) statistical approaches.
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 Kahramanmaraş 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.