Assessing crop virtual water content under non-standard growing conditions using Budyko framework
Assessing crop virtual water content under non-standard growing conditions using Budyko framework
复制标题
使用 Budyko 框架评估非标准生长条件下的作物虚拟水含量
DOI：
10.1016/j.resconrec.2017.08.009
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
Cai Yanpeng
中科院分区：
文献类型：
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作者：
Zhang Enze;Yin Xin'an;Yang Zhifeng;Xu Zhihao;Cai Yanpeng
实施农作物虚拟水含量(VWC)分析的最具挑战性的步骤之一是如何正确评估作物生产的消耗性用水量(CWU)。在实践中，CWU通常被认为等同于作物蒸散量(ETC)。根据作物系数法，在标准或非标准条件下种植的作物的蒸散量可通过将参考蒸散量(ET0)乘以一个或几个系数来估算。然而，当当前作物生长条件偏离标准条件时，准确确定非标准条件下的系数将是一个复杂的过程，需要大量的田间试验数据。在区域地表水能平衡的基础上，将Budyko框架融入到传统的作物系数法中，简化了系数的确定。这种新方法使我们能够仅根据区域尺度上的一些水文气象数据和农业统计数据来估算农业VWC量。为了演示新方法，我们将其应用于石家庄平原，这是一个农业灌区，在北部的中国平原。计算了冬小麦和夏玉米的VWC值，并进一步将VWC值细分为蓝水组分和绿水组分。与以往研究相比，基于Budyko作物系数法计算的VWC值所用数据较少，与前人的一些研究结果吻合较好。结果表明，该方法可作为评价VWC的一种更为方便的工具。
One of the most challenging steps in implementing analysis of virtual water content (VWC) of agricultural crops is how to properly assess the volume of consumptive water use (CWU) for crop production. In practice, CWU is usually considered equivalent to the crop evapotranspiration (ETc). Following the crop coefficient method, the ETcfrom crops grown under standard or non-standard conditions can be estimated by multiplying the reference evapotranspiration (ET0) by one or a few coefficients. However, when current crop growing conditions deviate from standard conditions, accurately determining the coefficients under non-standard conditions will be a complicated process and requires lots of field experimental data. Based on regional surface water-energy balance, this research integrates the Budyko framework into the traditional crop coefficient approach to simplify the coefficients determination. This new method enables us to assess the volume of agricultural VWC only based on some hydrometeorological data and agricultural statistic data in regional scale. To demonstrate the new method, we apply it to the Shijiazhuang Plain, which is an agricultural irrigation area in the North China Plain. The VWC of winter wheat and summer maize is calculated and we further subdivide VWC into blue and green water components. Compared with previous studies in this study area, VWC calculated by the Budyko-based crop coefficient approach uses less data and agrees well with some of the previous research. It shows that this new method may serve as a more convenient tool for assessing VWC.