基于RS数据和GIS方法的冬小麦水分生产函数估算
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“十二五”国家科技支撑计划资助项目(2012BAD08B02)、中国水利水电科学研究院院专项资助项目(节集1305、节集1356)、世界银行贷款项目(PMO1C3)和水利部公益性行业科研专项资助项目(201001068-2)


Estimation of Regional Water Product Function for Winter Wheat Using Remote Sensing and GIS
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    摘要:

    以冬小麦遥感监测耗水与产量为数据支持,开展了多种水分生产函数模型的对比研究,探求与研究区相适宜的水分生产函数模型及其参数,其中全生育期水分生产函数模型分别选择直线模型、抛物线模型、D-K模型及指数模型;而分生育阶段水分生产函数模型分别选择Jensen、Minhas、Blank、Stewart及Singh模型。研究结果表明,冬小麦全生育水分生产函数模型推荐采用抛物线模型;而分生育阶段水分生产函数模型推荐采用Stewart模型;冬小麦对水分最敏感的阶段是抽穗期,其次为扬花-成熟期,而出苗-拔节期最小。为此,在北京市大兴区的冬小麦灌溉应优先满足抽穗灌浆期的需水,而在出苗-拔节期适度减少灌溉量,可达到节水增效目的。

    Abstract:

    The model of crop water product function can be used as the foundation in rational allocation of agricultural water resources, optimal irrigation schedule and quota management of agricultural irrigation water. In order to get the reasonable model and parameters of crop water product function for study area, the comparison was made among several models of the crop water product functions based on the data of remote sensing ET and yield for winter wheat. Here, four models of the crop water product functions for the whole growth period were selected such as linear model, parabola model, D-K model, and exponential model. At the same time, five models of the crop water product functions for different growing stage were selected such as Jensen, Minhas, Blank, Stewart, and Singh model. The results showed that the parabola model was recommended for the model of the crop water product functions for the whole growth period. The Stewart model was recommended for the model of the crop water product functions for different growth stages. The most sensitive stage to water-stress was heading stage, followed by flowering to mature stage, and the least by the seeding emergence to jointing stage. Therefore, in order to save water and increase water use efficiency, water demand in heading stage should be top-priority, while water demand in the seeding emergence to jointing stage should be decreased.

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彭致功,刘钰,许迪,王蕾,雷波,杜丽娟.基于RS数据和GIS方法的冬小麦水分生产函数估算[J].农业机械学报,2014,45(8):167-171.

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  • 收稿日期:2014-03-10
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  • 在线发布日期: 2014-08-10
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