农田土壤水分的随机模拟和预报
投稿时间: 1992-04-08    点此下载全文
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作者单位
申双和 南京气象学院 
周英 南京气象学院 
中文摘要:对农田土壤水分进行适当的时间序列分析,将经周期提取后的土壤水分随机序列采用RLS算法建立了非灌溉农田土壤水分自适应AR模型,从模拟效果和预报精度看,该模型具有较强的自适应性和一定的应用价值。
中文关键词:土壤水分  周期分析  自适应AR模型
 
STOCHASTIC MODELING AND PREDICTION OF SOIL MOISTURE IN CROPPED FIELDS
Abstract:Time series analysis was made and an automatically adaptative AR model was established by the RLS recurrence method for the random series of rainfed cropped soil water extracted periodically. The simulation and prediction show that this model is of high automaticaly adaptability and of value in soil water management.
keywords:soil moisture  periodic analysis  automatically adaptative AR model
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