College of Water Resources and Architecture Engineering, Northwest A&F University, Yangling, 712100, China.
Institute of Water-Saving Agriculture in Arid Areas of China, Northwest A&F University, Yangling, 712100, China.
Sci Rep. 2017 Jul 14;7(1):5458. doi: 10.1038/s41598-017-05660-y.
Reference crop evapotranspiration (ET ) is a critically important parameter for climatological, hydrological and agricultural management. The FAO56 Penman-Monteith (PM) equation has been recommended as the standardized ET (ET ) equation, but it has a high requirements of climatic data. There is a practical need for finding a best alternative method to estimate ET in the regions where full climatic data are lacking. A comprehensive comparison for the spatiotemporal variations, relative errors, standard deviations and Nash-Sutcliffe efficacy coefficients of monthly or annual ET and ET (i = 1, 2, …, 10) values estimated by 10 selected methods (i.e., Irmak et al., Makkink, Priestley-Taylor, Hargreaves-Samani, Droogers-Allen, Berti et al., Doorenbos-Pruitt, Wright and Valiantzas, respectively) using data at 552 sites over 1961-2013 in mainland China. The method proposed by Berti et al. (2014) was selected as the best alternative of FAO56-PM because it was simple in computation process, only utilized temperature data, had generally good accuracy in describing spatiotemporal characteristics of ET in different sub-regions and mainland China, and correlated linearly to the FAO56-PM method very well. The parameters of the linear correlations between ET of the two methods are calibrated for each site with the smallest determination of coefficient being 0.87.
参考作物蒸散量(ET )是气候学、水文学和农业管理的一个极其重要的参数。FAO56 彭曼-蒙特斯公式(PM)被推荐为标准化的 ET (ET )方程,但它对气候数据的要求很高。在缺乏完整气候数据的地区,有实际需要寻找一种最佳的替代方法来估计 ET 。对 10 种方法(即 Irmak 等人、Makkink、Priestley-Taylor、Hargreaves-Samani、Droogers-Allen、Berti 等人、Doorenbos-Pruitt、Wright 和 Valiantzas)估计的月或年 ET (i = 1, 2,…,10)值的时空变化、相对误差、标准偏差和纳什-苏特克利夫效率系数进行了全面比较,这些方法是基于 1961-2013 年中国大陆 552 个站点的数据。Berti 等人(2014)提出的方法被选为 FAO56-PM 的最佳替代方法,因为它计算过程简单,仅利用温度数据,在不同子区域和中国大陆描述 ET 时空特征方面具有较好的精度,与 FAO56-PM 方法线性相关性很好。用每个站点最小决定系数为 0.87 对两种方法的 ET 线性相关参数进行校准。