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Estimating Evaporation from Lakes and Reservoirs under Limited Data Condition in a Semi-Arid Region

机译:在半干旱地区有限数据条件下估算湖泊和水库的蒸发量

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摘要

The Bowen ration energy balance (BREB) is considered as a standard method for estimating lake evaporation. The BREB method however requires numerous input data which may not be readily available especially in developing countries. This limitation could be solved by using methods with fewer data requirements. Evaporation from lakes and reservoirs in Iran is commonly estimated using pan evaporation because there have not been a consensus on which methods are most applicable under the limited data condition and arid climate. Therefore, the objective of this research was to determine the most appropriate evaporation methods over Doosti dam reservoir in Iran. Eighteen existing methods were tested and ranked based on the BREB method. The Jensen-Haise, Makkink, Penman and deBruin methods were among the most consistent methods with BREB in which the RMSD values were obtained 1.2, 1.34, 1.62 and 1.65 mm d(-1), respectively. Finally, we concluded that methods which rely only on air temperature, or air temperature combined with sunshine data (e.g., Jensen-Haise and Makkink), were relatively cost-effective options for estimating evaporation at the study area due to their simplicity, least sensitivity and high accuracy.
机译:鲍恩比能量平衡(BREB)被认为是估算湖泊蒸发量的标准方法。但是,BREB方法需要大量输入数据,这些数据可能不容易获得,尤其是在发展中国家。通过使用数据需求较少的方法可以解决此限制。伊朗湖泊和水库的蒸发通常使用锅蒸发来估算,因为在有限的数据条件和干旱气候下,哪种方法最适用尚无共识。因此,本研究的目的是确定伊朗Doosti大坝水库上最合适的蒸发方法。测试了18种现有方法,并根据BREB方法对其进行了排名。 Jensen-Haise,Makkink,Penman和deBruin方法是与BREB最一致的方法,其中RMSD值分别为1.2、1.34、1.62和1.65 mm d(-1)。最后,我们得出的结论是,仅依赖于气温或气温与日照数据相结合的方法(例如,Jensen-Haise和Makkink)由于其简单性,最低灵敏度而成为估算研究区域蒸发量的相对经济有效的选择。和高精度。

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