非充分灌溉条件下作物需水量预测  

Prediction of Crop Water Requirement under Deficit Irrigation

作　　者：马建琴[1] 陈哲[1] 

机构地区：[1]华北水利水电大学,河南郑州450011

出　　处：《人民珠江》2017年第12期58-61,共4页Pearl River

基　　金：河南省高校科技创新人才支持计划(15HASTIT046);河南省科技攻关项目(152102110095);河南省高等学校重点科研项目(15A570008);精准灌溉和农业面源污染控制技术研究)(50595)

摘　　要：按照晴、云、阴、雨等几种天气类型并利用历史资料来分类统计计算ET0,以实时的天气信息数据和土壤水分监测数据为基础,采用模糊聚类的方法对实时的ET0进行修正,再充分利用预报的日降水量,根据作物非充分实时灌溉预报模型和计划湿润层深,对土壤水分修正参数、作物系数进行修正。以冬小麦为例,进行作物需水量预测,结果表明,预测的作物需水量的相对误差平均值为5.29%,该方法用于作物需水量预报有效、可行,为实时优化配水提供依据。According to the sunny,cloud,rain and other types of weather,this paper had calculated ET_0 by historical data and it adopted fuzzy clustering method to modify the real-time ET_0 based on real-time weather information and soil moisture monitoring data.Then,according to the adequate real-time irrigation forecast model and planed wet layer depth,the soil moisture correction parameters and crop coefficient are corrected.Taking winter wheat as an example to forecast the water demand,the results showed that the average relative error of prediction was 5.29% and the method was effective and feasible.It would provide the basis for the real-time optimization of water distribution.

关 键 词：实时 非充分灌溉 作物需水量 预测 

分 类 号：S513[农业科学—作物学]