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基于ARIMA模型的拉萨降水量时间序列分析与预测
引用本文:官晨.基于ARIMA模型的拉萨降水量时间序列分析与预测[J].北华航天工业学院学报,2011,21(5):16-19.
作者姓名:官晨
作者单位:山东大学数学学院,山东济南,250100
摘    要:应用差分自回归滑动平均模型(ARIMA)模型对西藏拉萨地区1969年至2009年的年降水量资料进行建模分析。建立的模型通过了参数的显著性检验和模型的显著性检验。模型的实证分析表明在短期内模型具有较高的预测精度,ARIMA模型可以较好的应用于降水量的预测,对相关部门采取措施应对自然灾害提供了理论支持。

关 键 词:时间序列分析  ARIMA模型  降水量预测

Time Series Analysis and Forecast of Annual Precipitation on Lasa Based on ARIMA Model
GONG Chen.Time Series Analysis and Forecast of Annual Precipitation on Lasa Based on ARIMA Model[J].Journal of North China Institute of Aerospace Engineering,2011,21(5):16-19.
Authors:GONG Chen
Institution:GONG Chen(School of Mathematics,Shandong University,Jinan 250100,China)
Abstract:Applying ARIMA modeling theory,this paper analyzes the annual precipitation data of Lasa area from 1969 to 2009 and establishes a model.The model has passed through the parameter significance testing and model significance testing.The model has a high precision of prediction in short term and it shows that the ARIMA model can be applied well in the forecast of precipitation.This paper has also supplying a theory foundation for the government to take action to deal with the natural disaster.
Keywords:time series analysis  ARIMA model  precipitation forecast
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