摘要
本文对土壤墒情(旱情)预测预报的工作方法做了叙述。通过北京大兴芦城试验基地的不同深度土壤水分传感器采样试验,以容易测量得到的4个深度的土壤体积含水率和日平均气温为输入量,提出了一个基于BP网络的、可以对年内各个季节墒情做出短期预报的模型,以1周、1d为时间间隔,仿真结果表明预报误差很小,表明模型用于土壤墒情预报(旱涝预报)是可行的,是一种简单、易于推广的墒情(旱情)预报方法。
This paper narrates how to forecast soil moisture content. By the experiments through moisture sensor from different depths of the soil in Lucheng Experiment Base in Daxing Town of Beijing, the model based on BP web and that could give forecast of soil moisture content of every season in a year is studied according to the moisture rate in soil body of four soil depths and daily average temperature. By the intermission of a week or a day, the study result shows that forecast error is little, that is the forecast soil moisture content model can be used, and it is an easy method that can be spread to forecast soil moisture content.
出处
《莱阳农学院学报》
2006年第2期136-140,共5页
Journal of Laiyang Agricultural College
基金
国家高技术研究发展计划(863计划)重大专项课题"作物水分信息采集与精量控制用水技术研究与开发"(2002AA6Z3071)
关键词
墒情预测预报
墒情预报模型
BP网络
calculating and forecasting of soil moisture content
forecasting model of soil moisture content
BP web