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Sediment Deposition Risk Analysis and PLSR Model Research for Cascade Reservoirs Upstream of the Yellow River

机译：黄河上游梯级水库泥沙淤积风险分析与PLSR模型研究。

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摘要

It is difficult to effectively identify and eliminate the multiple correlation influence among the independent factors by least-squares regression. Focusing on this insufficiency, the sediment deposition risk of cascade reservoirs and fitting model of sediment flux into the reservoir are studied. The partial least-squares regression (PLSR) method is adopted for modeling analysis; the model fitting is organically combined with the non-model-style data content analysis, so as to realize the regression model, data structure simplification, and multiple correlations analysis among factors; meanwhile the accuracy of the model is ensured through cross validity check. The modeling analysis of sediment flux into the cascade reservoirs of Long-Liu section upstream of the Yellow River indicates that partial least-squares regression can effectively overcome the multiple correlation influence among factors, and the isolated factor variables have better ability to explain the physical cause of measured results.
机译：通过最小二乘回归很难有效地识别和消除独立因素之间的多重相关性影响。针对这一不足，研究了梯级水库的泥沙淤积风险和泥沙通入水库的拟合模型。建模分析采用偏最小二乘回归法。模型拟合与非模型式数据内容分析有机结合，实现了回归模型，数据结构的简化以及各因素之间的多重相关性分析。同时通过交叉有效性检查确保了模型的准确性。对黄河上游龙刘段梯级水库的泥沙通量的模型分析表明，偏最小二乘回归可以有效克服各因素之间的多重相关影响，而孤立的因素变量具有较好的解释物理原因的能力。测量结果。

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  • 来源
    《Mathematical Problems in Engineering》 |2015年第20期|696015.1-696015.7|共7页
  • 作者

    Yang Jie; Ma Jing; Hu De-xiu; Wang Lu; Yin Ji-na; Ren Jie;

  • 作者单位

    Xian Univ Technol, State Key Lab Base Ecohydraul Engn Arid Area, Xian 710048, Peoples R China|Xian Univ Technol, Inst Water Resources & Hydroelect Engn, Xian 710048, Peoples R China;

    Xian Univ Technol, Inst Water Resources & Hydroelect Engn, Xian 710048, Peoples R China;

    Xian Univ Technol, State Key Lab Base Ecohydraul Engn Arid Area, Xian 710048, Peoples R China|Xian Univ Technol, Inst Water Resources & Hydroelect Engn, Xian 710048, Peoples R China;

    Xian Univ Technol, Inst Water Resources & Hydroelect Engn, Xian 710048, Peoples R China;

    Xian Univ Technol, Inst Water Resources & Hydroelect Engn, Xian 710048, Peoples R China;

    Xian Univ Technol, State Key Lab Base Ecohydraul Engn Arid Area, Xian 710048, Peoples R China|China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China;

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