分时段修正双源模型在西北干旱区玉米蒸散量模拟中的应用

蒸散发(ET)是陆地水循环过程的重要组成部分,同时也是区域能量平衡以及水量平衡的关键环节,精确估算ET,对于提高水分利用效率以及优化区域用水结构具有重要意义。本文利用黑河重大计划观测数据,对比了考虑CO_2浓度和不考虑CO_2浓度对玉米冠层影响的冠层阻力模型,分别将其耦合到双源的Shuttleworth-Wallace(S-W)模型中,并利用这两种模型分时段对玉米整个生育期内半小时尺度上的ET进行模拟,利用涡度相关实测数据对模型进行验证,最后分别对影响玉米冠层阻力的气象要素和影响ET的阻力参数进行敏感性分析,探寻大气CO_2浓度改变条件下黑河中游绿洲区玉米不同生长阶段的农田耗水规律。结果表明:本文所修正的考虑CO_2浓度对玉米冠层影响的冠层阻力模型耦合到S-W模型后,能够较精准地模拟玉米整个生育期不同生长阶段半小时尺度上农田耗水过程。敏感性分析表明:各生长阶段冠层阻力(r_s~c)和冠层面高度到参考面高度间的空气动力阻力(r_a~a)对ET的影响最为强烈,其他阻力参数对ET的影响不明显,ET的变化程度随着r_s~c和r_a~a的增大而减小。本文所修正的考虑CO_2浓度影响的分时段双源模型能够精准地模拟玉米整个生育期各生长阶段的ET,可为种植结构调整和土地利用方式改变以及CO_2浓度变化环境下的农田蒸散研究提供参考。

Simulation of maize evapotranspiration at different growth stages using revised dual-layered model in arid Northwest China

Evapotranspiration (ET) is composed of two separate processes-water loss to the atmosphere from soil surface by evaporation (E) and water loss to the atmosphere from plant canopy via transpiration (T). ET plays a key role in energy and water balance in agricultural system and is also a critical process in terrestrial hydrological cycle. Accurate estimation of ET is significant for improving water use efficiency and optimizing regional water use, particularly in arid and semi-arid regions. Although ET models have been an important tool in understanding the regulation of ET in ecological, agricultural and environmental sciences, the accuracy of the models is limited by aerodynamic and canopy resistance. Numerous models have been developed to integrate aerodynamic and canopy resistances e.g., Penman-Monteith (P-M) model] in simulating the processes of response of ET, but many studies have suggested that the P-M model could produce large errors under partial or sparse canopy conditions because it treated plant canopy and soil surface as a single entity. Next, the dual-layered Shuttleworth-Wallace (S-W) model was developed to estimate ET under different conditions. In this model, the crop ET is divided into two components-latent heat flux from crop and that from soil. It has been tested by various surface conditions and widely used because of its good performance. In this study (which used maize data of three eddy covariance observations for the period from May through September 2012 in Heihe River Basin, an arid area in Northwestern China), two canopy resistance models coupled for maize. Two S-W models were coupled with canopy resistance models of maize taking or non-taking into account the effect of atmospheric CO₂. Then the whole maize growth period was divided into three stages, early, middle and late growth stages. Then maize ET on half hour scale was simulated using the two S-W models. The performances of the two S-W models were validated for three different growth stages using eddy covariance field-measured data. The results showed that simulated maize ET by the S-W model (which took into account the effect of atmospheric CO₂ at every growth stage of three different places) best agreed with field-measured eddy covariance data. Sensitivity analysis of the revised S-W model (taking into account the effect of atmospheric CO₂) showed that maize ET was more sensitive to canopy resistance (r_s^c) and aerodynamic resistance from canopy to reference surface height (r_a^a) at different growth stages. Therefore, it is very necessary to determine resistance parameters at different growth stages taking into account the effect of atmospheric CO₂ when calculating maize ET using the revised S-W model.