首页> 外文期刊>Journal of hydrologic engineering >Local Calibration of the Hargreaves and Priestley-Taylor Equations for Estimating Reference Evapotranspiration in Arid and Cold Climates of Iran Based on the Penman-Monteith Model
【24h】

Local Calibration of the Hargreaves and Priestley-Taylor Equations for Estimating Reference Evapotranspiration in Arid and Cold Climates of Iran Based on the Penman-Monteith Model

机译:基于Penman-Monteith模型的Hargreaves和Priestley-Taylor方程的局部校准,用于估算伊朗干旱和寒冷气候下的参考蒸散量

获取原文
获取原文并翻译 | 示例
           

摘要

The Food and Agricultural Organization of the United Nations (FAO)-56 version of Penman-Monteith (PMF-56) model has been established as a standard for calculating reference evapotranspiration (ET_0). An important constraint of application of the PMF-56 model is the requirement of solar radiation, wind speed, air temperature, and humidity data, which may not be available for a given location, especially in developing countries. The Hargreaves (HG) and Priestley-Taylor (P-T) equations are simple equations that require few weather data inputs, although regional calibration of the equations is needed for acceptable performance before applying them for ET_0 estimation. In this study, the HG and P-T equations were calibrated on the basis of the PMF-56 method in arid and cold climates of Iran using data from 12 stations during 1994-2005. After calibration of the HG equation, the average value of the adjusted HG coefficient for arid climate was 0.0031, which is about 34% higher than the original value (0.0023). Similarly, the average value of the new HG coefficient for cold climate was 0.0028, which is about 22% higher than the original value. The results showed that the original P-T coefficient of 1.26 was very low for the climatic regions, and the new P-T coefficients of 1.82 and 2.14 have the best fit as compared with the PMF-56 method in cold and arid climates, respectively. Overall, calibration of the HG and P-T equations resulted in improvements of the equations by reducing the errors of the ET_0 estimates.
机译:建立了联合国粮食及农业组织(FAO)-56版的彭曼·蒙特斯(PMF-56)模型,作为计算参考蒸散量(ET_0)的标准。 PMF-56模型应用的一个重要限制是太阳辐射,风速,空气温度和湿度数据的要求,这对于给定位置可能不可用,尤其是在发展中国家。 Hargreaves(HG)和Priestley-Taylor(P-T)方程是简单的方程,只需要很少的天气数据输入,尽管在将其应用于ET_0估算之前,需要对这些方程进行区域校准才能获得可接受的性能。在这项研究中,使用1994年至2005年期间来自12个台站的数据,基于PMF-56方法在伊朗干旱和寒冷气候下对HG和P-T方程进行了校准。在对HG方程进行校准之后,干旱气候的HG系数调整后的平均值为0.0031,比原始值(0.0023)高约34%。同样,寒冷气候下新的HG系数的平均值为0.0028,比原始值高约22%。结果表明,与PMF-56方法相比,在寒冷和干旱气候条件下,气候区的原始P-T系数为1.26,非常低,而新的P-T系数分别为1.82和2.14。总体而言,HG和P-T方程的校准通过减少ET_0估计值的误差而导致了方程的改进。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号