基于改进S-W与结构方程模型的干旱区枣园蒸散特征分析
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国家自然科学基金项目(52069027)、高校科研计划项目(XJEDU2017T004)和院士工作站基金项目(2020.D-003)


Analysis of Evapotranspiration Characteristics of Ziziphus jujuba Mill. Orchards in Arid Areas Based on Improved S-W and Structural Equation Model
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    摘要:

    为准确量化蒸散及其组分、分析蒸散的控制机制,利用改进的Shuttleworth-Wallace模型(S-W)对干旱区滴灌枣园的蒸散量、植株蒸腾量进行模拟,使用两年的涡度相关系统、针式茎流计数据对模型进行参数率定及验证,并利用结构方程模型(Structural equation model,SEM)分析枣园蒸散与其影响因子之间的关系。结果表明:S-W模型在干旱区枣园有较好的适用性,适宜的模型参数a1为6.9445、g0为0.0439、b2为4.6041、b3为957.1106;蒸散量模拟精度为:均方根误差(RMSE)为0.62~0.76 mm/d,回归系数b为0.77~0.88,决定系数R2为0.95~0.97,一致性指数d为0.92~0.94,模型效率纳什系数(EF)为0.70~0.81,均方根误差与观测值标准差比率(RSR)为0.44~0.55。SEM模型显示,6个测量因子能够解释89%的植株蒸腾量、84%的土壤蒸发量,植株蒸腾量对土壤蒸发量的标准化总影响系数为-0.70。对植株蒸腾量影响最大的因子是叶面积指数,标准化总影响系数为0.52;其次是气温,标准化总影响系数为0.44。对土壤蒸发量影响最大的因子是净辐射,标准化总影响系数为0.50,标准化直接影响系数为0.66;其次是土壤表层含水率,标准化总影响系数为0.49,标准化直接影响系数为0.69。S-W模型是估算干旱区枣园蒸散量的有效工具,基于SEM模型的蒸散特征分析可为干旱区农业节水提供新的思路。

    Abstract:

    Accurate quantification of evapotranspiration and the analysis of its control factors are of vital importance for agricultural water conservation and ecological-environmental protection. The improved Shuttleworth-Wallace (S-W) model was introduced for simulating evapotranspiration and transpiration in drip-irrigated jujube (Ziziphus jujuba Mill.) orchards in arid areas. The simulations of the S-W model were verified against measured data obtained from the eddy covariance system and measurements of a pin-type stem flowmeter for two consecutive years. The relationships between evapotranspiration in jujube orchards and influencing factors were analyzed by using the structural equation model (SEM). The S-W model showed good performance in simulating evapotranspiration and transpiration in arid areas under parameter value with a1 of 6.9445, g0 of 0.0439, b2 of 4.6041, b3 of 957.1106, achieving root mean square error (RMSE) of 0.62~0.76 mm/d, regression coefficient (b) of 0.77~0.88, determination coefficient (R2) of 0.95~0.97, index of agreement (d) of 0.92~0.94, efficiency of simulation (EF) of 0.70~0.81, ratio of RMSE to observations standard deviation (RSR) of 0.44~0.55. The results of SEM indicated that six factors explained 84% and 89% of observed variations in soil evaporation and transpiration, respectively. The coefficient of influence of plant transpiration of soil evaporation was -0.70. Leaf area index had the highest effect on plant transpiration, with total influence coefficient of 0.52, followed by air temperature with total influence coefficient of 0.44 and no-indirect influence. Net radiation had the highest effect on soil evapotranspiration, followed by soil surface water content, with total influence coefficients of 0.50 and 0.49 and direct influence coefficients of 0.66 and 0.69, respectively. The results of this model confirmed that the S-W model can be served as an efficient tool for estimating evapotranspiration in jujube orchards in arid areas, whereas SEM may provide a perspective on agricultural water conservation in arid areas.

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乔英,马英杰,辛明亮.基于改进S-W与结构方程模型的干旱区枣园蒸散特征分析[J].农业机械学报,2021,52(8):307-317. QIAO Ying, MA Yingjie, XIN Mingliang. Analysis of Evapotranspiration Characteristics of Ziziphus jujuba Mill. Orchards in Arid Areas Based on Improved S-W and Structural Equation Model[J]. Transactions of the Chinese Society for Agricultural Machinery,2021,52(8):307-317

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  • 收稿日期:2021-01-12
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  • 在线发布日期: 2021-08-10
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