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基于季节ARIMA模型的近海表层水温时间序列模拟与预测
引用本文:刘付程,刘吉堂,苏伟,郭衍游.基于季节ARIMA模型的近海表层水温时间序列模拟与预测[J].淮海工学院学报,2009,18(4):77-80.
作者姓名:刘付程  刘吉堂  苏伟  郭衍游
作者单位:刘付程,郭衍游(淮海工学院,测绘工程学院,江苏,连云港,222005);刘吉堂(国家海洋局连云港海洋环境监测站,江苏,连云港,222042);苏伟(连云港气象局,江苏,连云港,222006) 
基金项目:国家自然科学基金资助项目,连云港市科技发展计划项目,淮海工学院自然科学基金资助项目 
摘    要:基于1996—2007年逐月时间序列数据,采用季节ARIMA模型对连云港近海表层水温时间序列进行模拟,并依据残差不相关和简洁性原则确定模型的结构,建立最优预测模型ARIMA(1,0,1)(0,1,0)12。运用该模型对2008年逐月表层水温进行预测,预测值与实际值的变动趋势基本一致,且平均相对误差仅为3.5%。在此基础上对2009年连云港近海逐月表层水温进行预报,预报结果符合该海域表层水温的逐月变化趋势,表明模型用于近海表层水温预报是可行的。

关 键 词:季节ARIMA模型  模拟与预测  近海表层水温

Time Series of Coastal Sea Surface Temperature: Simulation and Prediction Based on Seasonal ARIMA Model
Affiliation:LIU Fu-cheng , LIU Ji-tang , SU Wei , GUO Yan-you( 1. School of Geodesy & Geomaties Engineering, Huaihai Institute of Technology, Lianyungang 222005, China; 2. Marine Environment Monitoring Station of Lianyungang, SOA, Lianyungang 222042, China; 3. Lianyungang Meteorological Office, Lianyungang 222006, China)
Abstract:A seasonal ARIMA model was used to simulate the time series of Lianyungang coastal SST based on the monthly SST from 1996 to 2007, and the optimal model ARIMA(1,0,1)(0,1,0)12 was finally established with its structure determined according to the criteria of residual un-correlation and concision. And then the constructed optimal model was applied to predict monthly SST in 2008. The results showed that the predicted values, with the average relative errors of about 3.5 %, almost had the same change trends as the actual values. With the model of ARIMA(1,0,1) (0,1,0) 12, the monthly SST in 2009 were forecasted based on monthly SST from 1996 to 2008, and the forecasting results were consistent with the monthly change tendency, which indicated that the selected model was suitable for forecasting coastal SST in Lianyungang.
Keywords:seasonal ARIMA model  simulation and prediction  coastal sea surface temperature
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