Applying Multivariate Auto-Regression Model to Forecast the Water Requirement of Well Irrigation Rice in Sanjiang Plain
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چکیده
Abstract: Through using the weather data of Fujin City (1985~1999), this research built up a multivariate auto-regression model. According to growth period of rice, the author divided the whole period into six stages. Thus, the ARV (6) model can forecast the water requirement of each growth stage. The model has good effects on fitting and forecasting, and it can be applied in many fields. For example, water saving irrigation, irrigation water management and exploiter the groundwater resource in reason. [Nature and Science, 2004,2(2):8-14]
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تاریخ انتشار 2004