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首页> 外文期刊>Engenharia Agrícola >Estimativa da evapotranspira??o de referência (ETo padr?o FAO), para Minas Gerais, na ausência de alguns dados climáticos
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Estimativa da evapotranspira??o de referência (ETo padr?o FAO), para Minas Gerais, na ausência de alguns dados climáticos

机译:在没有一些气候数据的情况下,为Minas Gerais进行参考evapotranspira(Eto标准粮农组织)的估算

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摘要

The FAO 56 Penman-Monteith (PM) equation for reference evapotranspiration (ETo) estimation requires climatic data that are often not available at most weather stations. To overcome the problem of climate data availability, the FAO-56 report describes several procedures to estimate ETo in the absence of solar radiation, relative humidity and wind speed data with their subsequent replacement. Based on this, this study aimed to compare the ETo estimated with the lack of wind speed or relative humidity or solar radiation data and the estimations using complete data for diverse locations within Minas Gerais State, Brazil. The comparison was performed using coefficient of linear regression and determination, the Willmott’s index of agreement and each method errors. As a result, it was found that in the absence of relative humidity and wind speed, the PM equation had small estimation errors. In contrast, for radiation data absence, errors were larger in relation to the other variables. With only maximum and minimum temperatures, the FAO 56-PM method outperformed the Hargreaves-Samani one.
机译:FAO 56 Penman-Monteith(PM)参考evapotranspiration(ETO)估计的方程需要在大多数气象站上通常不可用的气候数据。为了克服气候数据可用性问题,FAO-56报告介绍了在没有太阳辐射,相对湿度和风速数据的情况下估算ETO的若干程序,他们随后的替代品。基于这一点,本研究旨在将eTO与缺乏风速或相对湿度或太阳辐射数据的估计进行比较,并使用米纳斯吉拉斯州内的各个地区的完整数据进行估计。使用线性回归系数和测定的系数进行比较,Willmott的协议索引和每个方法错误。结果,发现在没有相对湿度和风速的情况下,PM方程具有小的估计误差。相比之下,对于辐射数据不存在,与其他变量相比,误差更大。只有最大和最小温度,粮农组织56-PM方法优于Hargreaves-Samani One。

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