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灰关联分析与多元线性回归模型联合应用研究
Study on joint application of grey relevancy analysis and multiple linear regression model
【摘要】 依据50年(1954~2003)和田绿洲的气象资料,应用灰关联分析,发现影响绿洲蒸发能力的主要因子是相对湿度与平均气温;在此基础上建立了回归模型。该模型模拟预测绿洲蒸发能力的变化精度较高,但需进一步改进。这种途径比逐步回归分析减少了分析工作量和上机时间。
【Abstract】 Base on the meteorological data from 1954 to 2003 in Hotan oasis,the grey relevancy analysis was applied to find out that the air temperature and relative humidity are the main factors for potential evaporation,and the multiple linear regression model was established.It was shown by variance and error analysis that the model can simulate and predict potential evaporation rather well,although some defects should be improved ulteriorly.Comparing with stepwise regression model,the proposed method has the advantages of simpler analysis and shorter computing time.
【关键词】 蒸发能力;
灰关联分析;
多元线性回归;
和田绿洲;
【Key words】 potential evaporation; grey relevancy analysis; multiple linear regression; Hotan oasis;
【Key words】 potential evaporation; grey relevancy analysis; multiple linear regression; Hotan oasis;
【基金】 国家自然科学基金(50579063)资助;西北农林科技大学农业水土工程教育部开放实验室基金;新疆和田世界银行贷款项目(TZK001)
- 【文献出处】 水资源与水工程学报 ,Journal of Water Resources and Water Engineering , 编辑部邮箱 ,2006年01期
- 【分类号】S162
- 【被引频次】23
- 【下载频次】555