基于BEPS模型的雨养冬小麦农田土壤水分动态模拟

发布时间：2018-12-21 14:06

【摘要】：北部生态系统生产力模拟(BEPS,Boreal Ecosystem Productivity Simulator)模型能够模拟不同生态系统碳水循环过程,并通过气孔导度将二者有机地结合,在土壤水分模拟上具有更大的优势。为了使BEPS模型适用于较小空间尺度的雨养冬小麦农田生态系统的土壤水分模拟,根据冬小麦的降水截留过程、冠层的辐射传输过程、根系分布规律和区域土壤水文参数的获取方法对BEPS模型的水平衡模块进行参数方案调整。在此基础上,基于实现BEPS模型与遥感反演的农田土壤水分数据同化的目的,利用经上述调整方案后的BEPS模型,对郑州农业气象试验站2011—2015年冬小麦生长季的农田土壤水分进行动态模拟,并用观测数据进行验证。结果表明,调整后的BEPS模型能够较好地模拟雨养冬小麦农田土壤水分及动态变化,决定系数R2可达0.70以上,平均相对误差MRE总体低于25.0%,但对底层模拟能力较差;在以旬为步长条件下,拔节前模拟效果优于拔节后;土壤水文参数是影响模型模拟土壤水分垂直交换和分布的主要因素,可通过优化进一步提高土壤水分模拟能力。
[Abstract]:Northern ecosystem productivity simulation (BEPS,Boreal Ecosystem Productivity Simulator) model) can simulate carbon and water cycle processes in different ecosystems, and combine them organically through stomatal conductance, which has more advantages in soil water simulation. In order to make the BEPS model suitable for soil moisture simulation of small spatial scale rain-fed winter wheat farmland ecosystem, according to the precipitation interception process of winter wheat and the radiation transfer process of canopy, The distribution of root system and the method of obtaining regional soil hydrological parameters were used to adjust the parameters of water balance module of BEPS model. On this basis, based on the purpose of realizing the assimilation of farmland soil moisture data from BEPS model and remote sensing inversion, the BEPS model after the above adjustment scheme is used. The dynamic simulation of soil moisture in winter wheat growing season in Zhengzhou agrometeorological test station from 2011 to 2015 was carried out, and the results were verified by observation data. The results showed that the adjusted BEPS model could simulate the soil moisture and dynamic change of winter wheat field, the coefficient of determination (R2) was more than 0.70, the average relative error (MRE) was lower than 25.0, but the simulation ability of bottom layer was poor. The simulation effect before jointing is better than that after jointing, and soil hydrological parameters are the main factors influencing the vertical exchange and distribution of soil moisture in the model, which can further improve the soil moisture simulation ability through optimization.
【作者单位】：中国气象局河南省农业气象保障与应用技术重点开放实验室;河南省气象科学研究所;中国农业科学院研究生院;
【基金】：中国气象局·河南省农业气象保障与应用技术重点开放实验室开放研究基金项目(AMF201404)
【分类号】：S152.7;S512.11

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