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基于大型蒸滲儀和遺傳算法的受旱玉米蒸發(fā)蒸騰量估算
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國家重點研發(fā)計劃項目(2017YFD0301301)和國家自然科學(xué)基金項目(51409002,、71273081)


Estimation of Maize Evapotranspiration under Drought Stress Based on Large-scale Lysimeter and Genetic Algorithm
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    摘要:

    受旱脅迫下作物蒸發(fā)蒸騰量估算重要且復(fù)雜,,依托新馬橋農(nóng)水綜合試驗站6臺大型稱重式蒸滲儀開展玉米受旱脅迫專項試驗,,對不同受旱脅迫下玉米蒸發(fā)蒸騰量特征進行分析,,在雙作物系數(shù)法估算無受旱脅迫下玉米蒸發(fā)蒸騰量的基礎(chǔ)上,,采用遺傳算法優(yōu)化率定基礎(chǔ)作物系數(shù)Kcbini、Kcbmid,、Kcbend和作物系數(shù)上限Kcmax,,同時基于試驗站實測太陽輻射數(shù)據(jù)采用遺傳算法優(yōu)化率定了Angstrom公式經(jīng)驗參數(shù)a、b,,進而優(yōu)化了參考作物蒸發(fā)蒸騰量(ET0)的計算結(jié)果,,并以此基礎(chǔ)運用雙作物系數(shù)法估算受旱脅迫下玉米蒸發(fā)蒸騰量。結(jié)果表明:營養(yǎng)生長中前期輕微的水分虧缺可能會刺激玉米適應(yīng)性機能,,復(fù)水后各項生理功能恢復(fù)正常,;水分虧缺加重時不僅會使玉米當期的蒸發(fā)蒸騰量減少,而且會產(chǎn)生累積效應(yīng),,將這種脅迫影響傳遞到之后的生育階段,;相同受旱脅迫強度對玉米生殖生長階段影響更為明顯,且易造成永久脅迫,;Kcbini,、Kcbmid、Kcbend,、Kcmax的率定結(jié)果分別為0.150,、1.090、0.152和1.400,,在此基礎(chǔ)上運用雙作物系數(shù)法估算無受旱脅迫下玉米全生育期蒸發(fā)蒸騰量的均方根誤差RMSE和平均絕對誤差MAE分別為1.39mm和0.97mm,,比對應(yīng)的FAO-56推薦值估算結(jié)果小6.74%和8.23%,受旱脅迫下玉米計算的2個處理全生育期RMSE,、MAE和MRE均值分別為1.60mm,、1.18mm和6.73%,整體估算效果雖然沒有無受旱脅迫下的好,,但仍優(yōu)于FAO-56推薦值的估算結(jié)果,。因此,基于雙作物系數(shù)法和遺傳算法的受旱脅迫下玉米蒸發(fā)蒸騰量估算合理可靠,,該研究可為區(qū)域制定適宜灌溉制度和降低農(nóng)業(yè)旱災(zāi)損失風險提供理論依據(jù),。

    Abstract:

    Due to the importance and complexity of crop evapotranspiration estimation under drought stress, maize drought stress special experiment was conducted based on six large-scale weighing lysimeters at Xinmaqiao Irrigation Experimental Station, the empirical parameters a and b of the Angstrom formula were optimized based on the measured solar radiation data from the experimental station, and the calculation results of the reference crop evapotranspiration were optimized, and then the characteristics of maize evapotranspiration under different drought stress scenarios were analyzed, moreover the maize evapotranspiration under drought stress was estimated by using basic crop coefficients, including Kcbini,,Kcbmid, and Kcbend and upper limit of crop coefficient Kcmax, which were calibrated by genetic algorithm in the process of estimating maize evapotranspiration under no drought stress based on dual crop coefficient approach. The results showed that early mild water deficit may stimulate the adaptability function of maize, and normal physiological function of that would return after re-watering;water deficit would not only decrease current evapotranspiration of maize, but also generate the cumulative effect, which transferred stress influence to later growth stages;the same drought stress intensity had a more obvious effect on the reproductive growth stage of maize, and it may cause permanent stress;the calibration results of Kcbini, Kcbmid, Kcbend and Kcmax were 0.150, 1.090, 0.152 and 1.400, respectively, and the root mean square error (RMSE) and mean absolute error (MAE) of estimated evapotranspiration results under no drought stress in whole growth period using these crop coefficients were 1.39mm and 0.97mm, respectively, which were 6.74% and 8.23% less than those of estimated results based on FAO-56 recommended approach, the means of RMSE, MAE and MRE of estimated evapotranspiration results under two different drought stress scenarios were 1.60mm, 1.18mm and 6.73%, respectively. Therefore, the estimation of maize evapotranspiration under drought stress based on dual crop coefficient approach and genetic algorithm were reasonable and reliable, and this research would provide theoretical foundation for formulating suitable irrigation system and reducing risk of agricultural drought loss.

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袁宏偉,崔毅,蔣尚明,湯廣民,袁先江.基于大型蒸滲儀和遺傳算法的受旱玉米蒸發(fā)蒸騰量估算[J].農(nóng)業(yè)機械學(xué)報,2018,49(10):326-335. YUAN Hongwei, CUI Yi, JIANG Shangming, TANG Guangmin, YUAN Xianjiang. Estimation of Maize Evapotranspiration under Drought Stress Based on Large-scale Lysimeter and Genetic Algorithm[J]. Transactions of the Chinese Society for Agricultural Machinery,2018,49(10):326-335.

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  • 收稿日期:2018-05-25
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  • 在線發(fā)布日期: 2018-10-10
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