基于CERES-Wheat和遥感数据的土壤水分供给量反演
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国家自然科学基金资助项目(41371390、41071235)


Retrieval of Soil Moisture Supplement Based on CERES-Wheat Model and Remote Sensing Data
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    摘要:

    以关中平原为研究区域,以冬小麦为研究对象,基于2007—2008年TM遥感数据反演的和CERES-Wheat模型模拟的生物量和叶面积指数,将由离散积分思想计算的日均分摊系数和由冬小麦各生育阶段生长特点划分的分段蒸腾系数引入土壤水分平衡方程,建立土壤水分供给量反演模型。利用该模型进行研究区域2007—2008年冬小麦全生育期的蒸散量和土壤水分供给量的单点和区域尺度的定量反演。选取拥有多时相遥感数据的2000—2001年进行模型验证,结果表明,在充分获取降水、灌溉信息和多时相遥感数据的条件下,土壤水分供给量的反演结果准确度较高。区域尺度的土壤水分供给量呈现出西高东低和北高南低的分布特征,自西北部向东南部逐渐递减,与关中平原冬小麦受水分胁迫程度的区域性变化趋势基本一致,表明应用模型反演冬小麦全生育期的土壤水分供给量是可行的。

    Abstract:

    he objective of this study is to build soil water supplement model. The characteristic of the model is the couple of the daily average transpiration coefficient and the subsection ratio of leaf transpiration and soil evaporation, while the coefficient and the ratio are often assigned to constant values during crop growth and development period in past studies. The model is used to quantitatively calculate the amount of evapotranspiration and soil water supplement during the whole growth period of winter wheat of Guanzhong Plain during 2007—2008 by using the remotely sensed and dynamically simulated LAI and biomass. The pointbased verification show that the results are accuracy when fully access to the information of rainfall and irrigation conditions. According to the spatial distribution of the soil water supplement, the soil water supplement in the whole growth period of winter wheat gradually decrease from the northwest to the southeast in Guanzhong Plain, which is roughly consistent with the variation trend of the water stress level in study area. In addition, the soil water supplement calculated by model in 2000—2001 reveal the possibility to obtain a more accurate result if we can get more high quality remotely sensed data, especially which are during the main growth period of winter wheat. All the results confirm that the feasibility of using this model to retrieve the soil water supplement throughout the growth period of winter wheat.

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王 维,王鹏新,解 毅,李 俐,刘峻明.基于CERES-Wheat和遥感数据的土壤水分供给量反演[J].农业机械学报,2015,46(9):282-288.

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  • 收稿日期:2015-03-12
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  • 在线发布日期: 2015-09-10
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