A Novel Approach for the Simulation of Reference Evapotranspiration and Its Partitioning

Pei Wang, Jingjing Ma, Juanjuan Ma, Haitao Sun and Qi Chen
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Pei Wang: State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Jingjing Ma: State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Juanjuan Ma: State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Haitao Sun: State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Qi Chen: State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

Agriculture, 2021, vol. 11, issue 5, 1-12

Abstract: To estimate the irrigation volume required for agriculture and improve water resources utilization efficiency, it is essential to obtain an estimate of reference evapotranspiration (ET 0 ) and its components (e.g., reference transpiration, T 0 and reference soil evaporation, E 0 ). This study updated a soil-plant-atmosphere continuum (SPAC) evapotranspiration model and its associated components to obtain a reference-based SPAC model of reference evapotranspiration (R-SPAC), and it applied the model to an agricultural ecosystem. Model simulations of mean hourly ET 0 were benchmarked against those of the Penman-Monteith method by the Food and Agriculture Organization (FAO-PM) throughout the growing season. The resulting good correlation obtained (R 2 = 0.96, agreement index, I = 0.98, root-mean-square deviation (RMSD) = 0.05 mm h −1 ) validated the accuracy of the R-SPAC model. Sensitivity analysis was used to explore uncertainties and errors for ET 0 , T 0 , and E 0 caused by input variables. The results showed that net radiation and shortwave radiation at the study site were the main drivers of ET 0 for both the FAO-PM and R-SPAC models. The study showed that the proposed R-SPAC model can be used for predicting ET 0 and for exploring interactions between climate, crop type, and soil in determining evapotranspiration under various future environment conditions.

Keywords: reference evapotranspiration; numerical modeling; evaporation and transpiration; energy balance; diurnal variations; seasonal variations (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2021
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