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首页> 外文期刊>Theoretical and applied climatology >Performance of the FAO Penman-Monteith equation under limiting conditions and fourteen reference evapotranspiration models in southern Manitoba
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Performance of the FAO Penman-Monteith equation under limiting conditions and fourteen reference evapotranspiration models in southern Manitoba

机译:南部南部南部条件下的粮农组织Penman-Monteith方程的性能和十四篇参考蒸发模型

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Evapotranspiration is a key component of water and energy balance. An accurate estimate of reference evapotranspiration (ETo) is important for determining the water demand of field crops, water management, and hydrological modelling. The FAO-PM ETo equation is the standard equation for estimating ETo. Its use is limited by the requirement for too many observed inputs that are not always available in most weather stations. Empirical models requiring readily available inputs have been developed as an alternative. However, their performance is location-specific. Therefore, this study assesses the performance of the FAO-PM ETo computed with limited data and fourteen empirical ETo models. Meteorological data (2012-2019) was analyzed under the semi-arid climate conditions in southern Manitoba. Model performance was assessed using statistical indices, including R-2, RMSE, NSE, MPE, and MAE. Results showed that ETo estimates under missing wind speed, relative humidity, or solar radiation were acceptable, although model performance decreased with increased missing data yielding average to poor performance. Based on R-2, RMSE, and NSE values, among the 14 models compared, the best performing models are Valiantzas-1, Valiantzas-3, Irmak, Valiantzas-2, and Priestly-Taylor models. New empirical coefficients were developed, requiring one or two climatic inputs to improve empirical models. Results showed that the calibrated models performed better than the original equation. The sensitivity analysis showed that ETo is most sensitive to maximum temperature (T-max) and solar radiation (R-s), followed by vapour pressure deficit (VPD), wind speed (U-2), and minimum temperature (T-min). Therefore, it is recommended to ensure accurate measurements of temperature and solar radiation for accurate ETo estimates. This study provides alternative ETo models with reasonable and accurate ETo estimates for southern Manitoba and other areas with similar climate characteristics.
机译:蒸散是水和能量平衡的关键组成部分。准确估计参考蒸散(ETO)对于确定野外作物,水管理和水文建模的需水来表示重要。 FAO-PM ETO等式是估算ETO的标准方程。它的使用受到太多观察到的输入的限制,这些输入并不总是在大多数气象站中可用。需要易于获得输入的实证模型作为替代方案。但是,它们的性能是特定于位置的。因此,本研究评估了使用有限数据和十四个经验ETO模型计算的FAO-PM ETO的性能。在Manitoba南部的半干旱气候条件下分析了气象数据(2012-2019)。使用统计指标评估模型性能,包括R-2,RMSE,NSE,MPE和MAE。结果表明,在缺失风速,相对湿度或太阳辐射下的ETO估计是可接受的,尽管模型性能随着缺失的数据而导致平均值增加,但性能不足。基于R-2,RMSE和NSE值,在14个模型中,最佳性能的模型是Valiantzas-1,Valiantzas-3,Irmak,Valiantzas-2和祭司 - 泰勒模型。开发出新的经验系数,需要一个或两个气候投入来改进实证模型。结果表明,校准模型比原始方程更好。灵敏度分析表明,ETO对最大温度(T-MAX)和太阳辐射(R-S)最敏感,然后是蒸气压缺损(VPD),风速(U-2)和最小温度(T-min)。因此,建议确保精确测量温度和太阳辐射以获得精确的ETO估计。本研究提供了替代ETO模型,具有适合南部的南部南部和其他具有类似气候特征的地区的ETO估计。

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