袁宏伟,崔毅,蒋尚明,汤广民,袁先江.基于大型蒸渗仪和遗传算法的受旱玉米蒸发蒸腾量估算[J].农业机械学报,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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基于大型蒸渗仪和遗传算法的受旱玉米蒸发蒸腾量估算   [下载全文]
Estimation of Maize Evapotranspiration under Drought Stress Based on Large-scale Lysimeter and Genetic Algorithm   [Download Pdf][in English]
投稿时间:2018-05-25  
DOI:10.6041/j.issn.1000-1298.2018.10.037
中文关键词:  玉米  淮北平原  蒸发蒸腾量  受旱胁迫  双作物系数法  遗传算法
基金项目:国家重点研发计划项目(2017YFD0301301)和国家自然科学基金项目(51409002、71273081)
作者单位
袁宏伟 安徽省水利部淮河水利委员会水利科学研究院 
崔毅 天津大学 
蒋尚明 安徽省水利部淮河水利委员会水利科学研究院 
汤广民 安徽省水利部淮河水利委员会水利科学研究院 
袁先江 安徽省水利部淮河水利委员会水利科学研究院 
中文摘要:受旱胁迫下作物蒸发蒸腾量估算重要且复杂,依托新马桥农水综合试验站6台大型称重式蒸渗仪开展玉米受旱胁迫专项试验,对不同受旱胁迫下玉米蒸发蒸腾量特征进行分析,在双作物系数法估算无受旱胁迫下玉米蒸发蒸腾量的基础上,采用遗传算法优化率定基础作物系数Kcbini、Kcbmid、Kcbend和作物系数上限Kcmax,同时基于试验站实测太阳辐射数据采用遗传算法优化率定了Angstrom公式经验参数a、b,进而优化了参考作物蒸发蒸腾量(ET0)的计算结果,并以此基础运用双作物系数法估算受旱胁迫下玉米蒸发蒸腾量。结果表明:营养生长中前期轻微的水分亏缺可能会刺激玉米适应性机能,复水后各项生理功能恢复正常;水分亏缺加重时不仅会使玉米当期的蒸发蒸腾量减少,而且会产生累积效应,将这种胁迫影响传递到之后的生育阶段;相同受旱胁迫强度对玉米生殖生长阶段影响更为明显,且易造成永久胁迫;Kcbini、Kcbmid、Kcbend、Kcmax的率定结果分别为0.150、1.090、0.152和1.400,在此基础上运用双作物系数法估算无受旱胁迫下玉米全生育期蒸发蒸腾量的均方根误差RMSE和平均绝对误差MAE分别为1.39mm和0.97mm,比对应的FAO-56推荐值估算结果小6.74%和8.23%,受旱胁迫下玉米计算的2个处理全生育期RMSE、MAE和MRE均值分别为1.60mm、1.18mm和6.73%,整体估算效果虽然没有无受旱胁迫下的好,但仍优于FAO-56推荐值的估算结果。因此,基于双作物系数法和遗传算法的受旱胁迫下玉米蒸发蒸腾量估算合理可靠,该研究可为区域制定适宜灌溉制度和降低农业旱灾损失风险提供理论依据。
YUAN Hongwei  CUI Yi  JIANG Shangming  TANG Guangmin  YUAN Xianjiang
Water Resources Research Institute of Anhui Province and Huaihe River Commission, Ministry of Water Resources,Tianjin University,Water Resources Research Institute of Anhui Province and Huaihe River Commission, Ministry of Water Resources,Water Resources Research Institute of Anhui Province and Huaihe River Commission, Ministry of Water Resources and Water Resources Research Institute of Anhui Province and Huaihe River Commission, Ministry of Water Resources
Key Words:maize  Huaibei Plain  evapotranspiration  drought stress  dual crop coefficient approach  genetic algorithm
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.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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