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数字化水位观测数据缺失填补研究

Author(s)：
杨盛梅

Publication Title：

Wen Yuan (High School Edition) 2021 No.12

Affiliations：
西藏自治区水文水资源勘测局昌都水文分局西藏昌都 850000

Abstract：
由于水位观测数据的时间尺度连续性遭到破坏，导致对缺失数据填补的准确性较低，为解决这一问题，本文对数字化水位观测数据缺失填补进行研究。以观测到的水位数据序列的局部最大值和最小值作为包络线的上、下限，按照时间尺度对数据进行经验模态分解，通过对最邻近算法的k值进行优化计算，水位分解结果的填补值的最佳时间尺度，并将最小误差k值对应的数据作为缺失填补值。测试结果表明，设计方法的填补数据与实际数据之间的误差始终小于5.00mm。

Keywords：
水位观测数据；缺失填补；时间尺度；经验模态分解；最邻近算法；k值优化

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[1] 杨盛梅.数字化水位观测数据缺失填补研究[J].Wen Yuan (High School Edition),2021(12),.

文渊(高中版)

Wen Yuan (High School Edition)

Language: 中文

CN：11-9276/G

ISSN：2096-6288

Publication Frequency: 月刊

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