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基于溫度資料估算參考作物騰發(fā)量的方法比較
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“十二五”國家科技支撐計劃資助項目(2011BAD29B01)、公益性行業(yè)(農(nóng)業(yè))科研專項資助項目(201203077)和現(xiàn)代農(nóng)業(yè)產(chǎn)業(yè)技術(shù)體系建設(shè)專項資金資助項目(CARS—3—1—30)


Comparative Analysis of Reference Evapotranspiration Estimation Methods Using Temperature Data
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    摘要:

    以Penman—Monteith方法計算的參考作物騰發(fā)量ETo為標準,與采用溫度法和輻射法的Penman—Monteith溫度法(PMT),、修正的PMT(PMT-cor)、Hargreaves—Samain (HG),、修正的HG公式(HG—M1,HG—M2),、Thornthwaite公式,、Irmak公式、修正的Irmak公式(Irmak-cor),、McGuinness Bordne公式(M—B)的估算值進行對比分析,,同時引入干旱指數(shù)對溫度法中的PMT公式進行修正,采用多元線性擬合對輻射法中的Irmak公式進行修正,。結(jié)果表明:溫度法中的PMT公式,、PMT-cor公式、HG公式和輻射法中Irmak公式,、Irmak-cor公式的計算值與PM法計算值間的回歸系數(shù)b都接近于1.0,,相關(guān)系數(shù)R2大于0.80,相對誤差RE小于20%,,一致性指數(shù)d大于0.95,。通過交叉比較發(fā)現(xiàn),Irmak-cor公式精度較高(b=1.00,、R2=0.98,、RMSE=0.17mm/d、RE=7%,、d=1.00),,其次是Irmak公式(b=1.03、R2=0.95,、RMSE=0.31mm/d,、RE=12%、d=0.99),,再次是PMT,、PMT-cor、HG方法,??紤]計算結(jié)果的精確度,,該地區(qū)首選Irmak-cor公式估算ETo;如果考慮計算簡便,,該地區(qū)可選HG公式估算ETo。

    Abstract:

    Accurate estimation of reference evapotranspiration (ETo) is the basis of irrigation water management. When weather data is lacking or only temperature data is available, ETo has to be estimated with limited weather data. An attempt was made to estimate daily ETo by using temperature-based and radiation-based methods, i.e., Penman—Monteith temperature method (PMT), corrected PMT method (PMTcor), HG equation, modified HG (HG—M1, HG—M2), Thornthwaite equation and Irmak equation, corrected Irmak equation (Irmakcor), McGuinness Bordne equation (M—B). These equations were evaluated against the PM model in Xinxiang. When using the PMT method to estimate ETo, the adjustment of Tmin for estimating Tdew was adopted, when using the Irmak equation, the multiple linear regression was adopted to modify this equation. Results showed that the performance of PMT, PMT-cor, HG, Irmak and Irmak-cor methods were similar, which got the best ETo estimation with coefficient of regression (b) and determination (R2) around 1.0, relative error RE<20%, index of agreement d>0.95, five models fitted the standard of good model. Crosscomparison of the five good models showed that Irmak-cor equation was the best method which had the highest accuracy in all models with b=1.00, R2=0.98, RMSE=0.17mm/d, RE=7%, d=1.00; secondly, the Irmak equation, with b=1.03,,R2=0.95, RMSE=0.31mm/d, RE=12%, d=0.99. The precision of five models was in turn as Irmak-cor, Irmak, PMT-cor, PMT and HG equation. When considering the precision of the formula, the Irmak-cor equation was the best-suited equation for estimating ETo among the methods, but it was likely more appropriate to use HG equation, due to it was easy to compute and no requirements of temperature adjustment.

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張倩,段愛旺,高陽,申孝軍,蔡煥杰.基于溫度資料估算參考作物騰發(fā)量的方法比較[J].農(nóng)業(yè)機械學(xué)報,2015,46(2):104-109. Zhang Qian, Duan Aiwang, Gao Yang, Shen Xiaojun, Cai Huanjie. Comparative Analysis of Reference Evapotranspiration Estimation Methods Using Temperature Data[J]. Transactions of the Chinese Society for Agricultural Machinery,2015,46(2):104-109.

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  • 收稿日期:2014-06-25
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  • 在線發(fā)布日期: 2015-02-10
  • 出版日期: 2015-02-10
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