| 袁永生,时正华,朱庆平.改进的多元方差分析用于黄河水位过程研究[J].水利学报,2003,34(11):0048-0053 |
| 改进的多元方差分析用于黄河水位过程研究 |
| Application of improved multivartiate variance analysis method instudy on water level variation process in Yellow River |
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| DOI： |
| 中文关键词: 黄河下游 方差分析 非线性扰动 拟合模型 最小均方误差原则 |
| 英文关键词: multivariate variance analysis nonlinear disturbance approximation model water level variation process least square criterion |
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| 中文摘要: |
| 作者从工程应用的角度提出了改进的多元方差分析法。并取黄河下游近年来出现过的三类具突变性洪水的水沙资料，用水沙因子的不同搭配描述其水位过程中的非线性扰动，依据最小均方误差原则得出了高精度的非线性拟合模型。这一模型结构及参数确定方式用于同对断面其它年份水位过程拟合时，精度相同。此外本文还阐明了黄河下游含沙量对水位的影响，及模型参数摆动的物理成因。 |
| 英文摘要: |
| An improved multivariate variance analysis method is proposed. The hydrological data of 3 typical floods in river section from Jiahetan to Gaochun of Yellow River are selected to analyze the nonlinear disturbance of the water level variation process using different allocation of water and sediment factors. A high precision nonlinear model based on least square principle is obtained by fitting. This model is applied to the fitting of hydrological data in other years. Furthermore, the effect of sedimentation on water level in lower Yellow River and causes of flucturation of model parameters are also analyzed. |
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