刘利平, 陈创买, 陈健, 张漫莉, 王彦斯. 主分量与广东北江年最大流量预测[J]. 水科学进展, 2003, 14(4): 485-488.
引用本文: 刘利平, 陈创买, 陈健, 张漫莉, 王彦斯. 主分量与广东北江年最大流量预测[J]. 水科学进展, 2003, 14(4): 485-488.
LIU Li-ping, CHEN Chuang-mai, CHEN Jian, ZHANG Man-li, WANG Yan-shi. Principal components and prediction of annual maximum discharge in Beijiang River in Guangdong province[J]. Advances in Water Science, 2003, 14(4): 485-488.
Citation: LIU Li-ping, CHEN Chuang-mai, CHEN Jian, ZHANG Man-li, WANG Yan-shi. Principal components and prediction of annual maximum discharge in Beijiang River in Guangdong province[J]. Advances in Water Science, 2003, 14(4): 485-488.

主分量与广东北江年最大流量预测

Principal components and prediction of annual maximum discharge in Beijiang River in Guangdong province

  • 摘要: 提出一种应用因子场的主分量建立北江长期洪水预报模型的方法,对发生暴雨洪水有重大影响的500hPa高度场和太平洋海温场作主分量分析,提取其含高信息量的主分量作为预报因子,通过相关和逐步回归计算建立模型.详细分析了用该模型对珠江的重要支流——北江年最大流量的拟合和预测,用该模型对北江流域年最大流量的预测表明,模型是有效的,效果较好,对较大洪水年的拟合效果尤其令人满意.

     

    Abstract: A method for creating a long range flood prediction model is developed by using the principal components of factor field.First,the principal component of fields of 500 hPa height and Pacific sea surface temperature which have important effect on rainstorm and flood of region are analysed with their principal component as predictor.Then,compulation of correlation and stepwise regression is operated to creat the model.The compulation procedue are quite complete.Applying that model to predict the yearly maximum stream content of Beijiang River flow region shows that the model is effective.

     

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