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在线土壤水分是实现作物实时灌溉预报的重要参数。以试验区小型气象站和土壤监测设备的实时数据为基础,基于土壤水量平衡方程构建了土壤水分预报模型,对冬小麦根区土壤水分进行模拟与预报,为实时灌溉预报提供基础数据。运用土壤水环境处理分析软件IrriMax的根区分析等功能,针对不同的试验设计方案,对冬小麦全生育期根系生长情况进行模拟分析,采用冬小麦土壤水分在线预报模型进行土壤水分的逐日预报,并将预报值与土壤水分实测值进行对比分析。同时,针对实时灌溉预报中作物系数值不能很好满足短期时长要求的问题,采用作物系数逐日修正方法进行了冬小麦实时灌溉预报研究。结果可为高效节水农业的智能化管理提供理论与决策支持。
Online soil moisture is an important parameter for real-time crop forecasting. Based on the real-time data of small weather stations and soil monitoring equipment in the experimental area, a soil moisture prediction model was constructed based on the soil water balance equation to simulate and forecast the soil moisture in the root zone of winter wheat so as to provide basic data for real-time irrigation forecasting. According to different experimental design schemes, the root growth of winter wheat was simulated by using the root zone analysis of soil water environment analysis software IrriMax. The forecast of soil moisture by winter wheat soil moisture online forecasting model was carried out. Comparative analysis of forecast value and soil moisture. At the same time, in view of the problem that the crop coefficient value can not meet the requirement of short-term duration in real-time irrigation forecasting, the real-time irrigation forecasting of winter wheat is carried out by using crop coefficient daily correction method. The results can provide theoretical and decision support for the intelligent management of highly efficient and water-saving agriculture.