在大型喷灌机较大的单机控制面积内，由非生物和生物因素引起的作物需水和产量潜力的空间变异性增大。为提高喷灌水利用效率，传统的均一灌溉管理正在向变量灌溉管理转移，而基于冠层温度的动态分区管理方法代表着目前水分管理的最高水平。为解决基于冠层温度的冬小麦非充分灌溉水分亏缺指标缺乏，红外温度传感器易在作物生长早期对灌溉时间产生误判，且喷灌机运行时间较长易影响水分亏缺空间分布图时效性等关键问题，本项目拟采用田间试验与数学模拟紧密结合的技术路线，研究冬小麦水分亏缺指标与冠层温度、土壤性质的耦合关系，优化土壤水分传感器网络布设原理，建立高精度的冠层温度时间尺度转化方法，在作物不同生长阶段建立基于冠层温度时空变异和土壤类型空间变异的变量灌溉动态分区方法和灌溉处方图生成方法。预期结果对揭示土壤-作物-大气-喷灌机之间的互馈机制，提升大型喷灌机水分管理水平具有重要意义。

In the large area controlled by a continuously moving sprinkler machine, the spatial variations in water use and yield potential increase caused by abiotic (soils, slope, aspect, etc.) and biotic factors (insect pressure, plant disease). To improve the water use efficiency, the management method is transferring from uniform application over an entire field to site-specific variable rate irrigation, and the management method based on dynamic delineation of management zones according to canopy temperature represents the highest water management level. To resolve the problems that the lack of water deficit index for winter wheat, the false judgment to irrigation trigger time in the early stage of crop growth, and the poor timeliness for canopy temperature map caused by long time running of sprinkler machine, this project will take the technical route combing the field experiment with mathematic simulation. The relationships among water deficit index, canopy temperature, and soil property will be simulated. The layout of the soil water sensors network will be optimized. We also will construct the high precision time scale conversion method for canopy temperature, the dynamic delineation method for management zones, and the variable rate irrigation prescription map based on spatial and temporal variation of canopy temperature and soil properties in different crop growing stages. The results are meaningful for revealing the corresponding mechanism among soil, crop, temperature, and sprinkler machine, and for promoting the water management level of continuously moving sprinkler machine.