Evapotranspiration partitioning and crop coefficient of maize in dry semi-humid climate regime

Evapotranspiration partitioning and crop coefficient of maize in dry semi-humid climate regime
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干旱半湿润气候条件下玉米蒸散发分配及作物系数

DOI:
10.1016/j.agwat.2020.106164
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发表时间:
2020-06
影响因子:
6.7
通讯作者:
Wang Xiaowen
Wang Xiaowen
中科院分区:
农林科学1区
文献类型:
--
作者:
Wang Yunfei;Cai Huanjie;Yu Lianyu;Peng Xiongbiao;Xu Jiatun;Wang Xiaowen

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关中平原是我国西北地区重要的玉米产区之一。因此,研究该地区玉米的灌溉需求,提高水分利用效率是十分必要的。对这一地区种植的作物的蒸发分配和灌溉要求缺乏了解。基于2013、2014、2015和2017年4个生长季(2013、2014、2015和2017年)玉米农田蒸散观测资料,采用涡度相关(EC)技术,研究了干旱半干旱区夏玉米蒸散各分量的季节变化规律和作物系数(Kc)。在生长季节,能量分配具有明显的季节变化。蒸散分配格局随冠层发育有明显的季节变化。蒸腾/蒸散比的变化规律与冠层发育规律一致。在四个生长季中,TtoET和EtoET的季节性比值具有可比性。此外,当地开发的作物系数分别为0.57,1.01和0.50的初始,中期和后期阶段。由当地资料得到的单作物系数能较好地预测蒸散量。本文报道的Kc值与以前在其他地区使用EC系统进行的研究是一致的,但一般低于thecvalues来自蒸渗仪,波文比能量平衡系统,和土壤水分平衡方法测量的ET数据。这表明,由测量方法引起的当地制定的作物系数的变异性高于由气候引起的变异性。
Guanzhong Plain is one of the most critical maize production areas in Northwest China. It is essential to study the maize irrigation requirement and improve water use efficiency in this area. There is a lack of knowledge about the evaporation portioning and irrigation requirements of crops grown in this region. Based on evapotranspiration observed in a maize cropland using the eddy covariance (EC) technique during four growing seasons (2013, 2014, 2015, and 2017), the seasonal variation of evapotranspiration components and the crop coefficients (Kc) for summer maize in a dry semi-arid area were determined. Energy partitioning has an obvious seasonal variation during growing seasons. The pattern of evapotranspiration partitioning has a clear seasonal variation with the development of the canopy. The pattern of the ratio of transpiration (T) to evapotranspiration (ET) is consistent with the canopy development. For four growing seasons, on a seasonal basis, the ratios ofTtoETandEtoETwere comparable. In addition, the locally developed crop coefficients were 0.57, 1.01, and 0.50 for the initial, mid, and late stages, respectively. The single crop coefficient derived from local datasets can provide a good prediction ofET. TheKcvalues reported in this paper were consistent with previous studies conducted in other regions using EC systems but were generally lower than theKcvalues derived fromETdata measured by lysimeters, the Bowen Ratio Energy Balance system, and the soil water balance method. This indicates that the variability of the locally developed crop coefficient caused by measurement methods is higher than the variability caused by climate.
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