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偏最小二乘回归法在库岸再造预测中的应用 被引量:3

Application of Partial Least-Squares Regression in Bank Rebuilding Prediction of Wushan County, Three Gorges Reservoir Region
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摘要 简述了单因变量偏最小二乘回归法的基本原理和计算步骤。针对水库库岸再造预测的特点,将三峡库区巫山县段的岩质库岸划分为漫滩段、枯-洪水位变幅带、常见洪水位以上段3种类型。建立了坡角与岩体类型、力学性质、地形地貌之间的3个偏最小二乘回归方程。计算结果表明,组成岸坡的岩体类型、性质是决定库岸再造的最主要园素,地形地貌因素次之。应用偏最小二乘回归模型,可提高库岸再造预测的准确度,为土地利用提供决策支持。 The basic method of partial least squares regression(PLS) is summarized in the paper. The Wushan bank of Three Gorges Reservoir has been divided into floodplain section, changing section from high level to below level and above flood level section. Three PLS equations have been set up,for which the dependent variable was slope angle and the independent variables were types of rock and soil, mechanics characters and physiognomy. The result shows that the most important factor of bank rebuilding is types and characters of rock and soil. The precision is increased in bank rebuilding prediction by PLS.
出处 《地质科技情报》 CAS CSCD 北大核心 2005年第B07期180-183,共4页 Geological Science and Technology Information
关键词 偏最小二乘回归法 库岸再造 坡角 partial least-squares regression(PLS) bank rebuilding slope angle
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