Assessment of the Performance of Some Evaporation Models Under Cukurova Region Conditions


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KOÇ D. L.

JOURNAL OF TEKIRDAG AGRICULTURE FACULTY-TEKIRDAG ZIRAAT FAKULTESI DERGISI, cilt.19, sa.1, ss.145-155, 2022 (ESCI) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 19 Sayı: 1
  • Basım Tarihi: 2022
  • Doi Numarası: 10.33462/jotaf.938894
  • Dergi Adı: JOURNAL OF TEKIRDAG AGRICULTURE FACULTY-TEKIRDAG ZIRAAT FAKULTESI DERGISI
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Scopus, TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.145-155
  • Anahtar Kelimeler: Evaporation, Evaporation models, Class A pan, cukurova region, Performance, RESERVOIR EVAPORATION, LAKE
  • Çukurova Üniversitesi Adresli: Evet

Özet

Evaporation is the main factor of the water cycle. The quantification of evaporation is crucial for water resource management, determination of water availability, irrigation scheduling, and environmental modeling studies. Class A pans are commonly used worldwide to measure evaporation from open water surface and to estimate evapotranspiration for irrigation scheduling and water management for field and horticultural crops. Continuous measurement of daily pan evaporation may not be possible due to practical, theoretical, or financial reasons. Many models have been developed to estimate evaporation from open water surface using meteorological data. In this study, a total of 10 evaporation models based on temperature, radiation, mass transfer, and combination (Penman1948, Kohler-Nordenson-Fox (KNF)-1955, Papadakis-1961, Hamon-1961, Antal-1973, Linacre-1977, Hanson & Rauzi-1977, Kharrufa-1985, Abtew-1996, Modified-Turc-1996) were used to estimate daily measured evaporation values in Class A pan using 30-year climate data for the summer growing season in the cukurova region. Root mean square error (RMSE), mean bias error (MBE), and relative error (RE) statistic approaches were used to determine the accuracy and reliability of the models. According to results obtained from the research, the KNF model was the best model with the seasonal mean lowest RMSE, RE, and MBE values (RMSE = 1.5 mm day(-1), RE = 0.4, MBE = -0.1 mm day(-1)), whereas Hamon was the worst model with the seasonal mean highest RMSE, RE, and MBE values (RMSE = 6.9 mm day(-1), RE = 1.3, MBE = 6 mm day(-1)) to estimate evaporation from Class A Pan. In the study, the Hanson & Rauzi model gave very similar results to the KNF model (seasonal mean values: RMSE = 1.6 mm day(-1), RE = 0.4, MBE = 0.7 mm day(-1)). In addition, the fact that the Hanson & Rauzi model uses less meteorological data than the KNF model has shown that the Hanson & Rauzi model can be an alternative to the KNF model under the conditions of the cukurova region.