冬小麦土壤水分在线预报模拟及实时灌溉预报模型

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。

Soil Moisture On line Forecasting and Real time Irrigation Schedule Model for Winter Wheat

On line soil moisture is an important parameter for real time irrigation schedule forecasting. Based on the real time monitored data of soil moisture and the meteorological data of small scale weather station in the experimental area, the on line soil moisture forecast model is put forward for soil moisture forecast and simulate based on the soil moisture recursion formula, which can provide data basis for real time irrigation forecasting. Using the function of IrriMax which is one technical soil moisture analysis software, it calculates crop's root zone range and the development of root zone is simulated respectively under different experiment scheme. On line soil moisture forecast model of winter wheat is used to predict daily soil moisture, and the comparative analysis was done between the predicted value and the measured value of soil moisture. Finally, aiming at the shortcoming of the crop coefficient which could not meet the time interval requirement in short term forecasting, a new daily revised method for crop coefficient is proposed to forecast on line irrigation of winter wheat. So, the results can give decision support for high efficient intelligent management of water saving agriculture.