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地表垂直变形序列的多尺度特征分析
引用本文:王坚,高井祥,赵东保,蔡建新.地表垂直变形序列的多尺度特征分析[J].测绘学院学报,2005,22(3):169-171.
作者姓名:王坚  高井祥  赵东保  蔡建新
作者单位:[1]中国矿业大学环境与测绘学院GPS研究中心,江苏徐州221008 [2]郑州大学环境与水利学院,河南郑州450002 [3]新疆水利水电勘察设计研究院,新疆乌鲁木齐830000
基金项目:国家教育部博士点基金资助(20040290503)
摘    要:基于Morlet小波变换的方法对地表沉降数据序列进行多尺度特征分析,主要是周期性信息的多尺度描述。展现了沉降序列的频率特征在时域上的表现。小波变换能够清晰的给出不同尺度的强弱和分布情况以及沉降变化的趋势和突变点,以某矿的工业广场10个月19期2周等时间间隔的沉降数据序列为俐。分析了沉降数据中显含2.1和4.1个月的主周期信息。说明小波变换在沉降数据序列的分析中具有优越的性质。

关 键 词:地表沉降序列  多时间尺度  小波变换  周期性信息
文章编号:1009-427X(2005)03-0169-03
收稿时间:2005-03-04
修稿时间:2005-05-18

Multi-time Scale Characteristic Analysis of Surface Subsidence Time Series
WANG Jian, GAO Jmg-xiang,ZHAO Dong-bao, CAI Jian-xin.Multi-time Scale Characteristic Analysis of Surface Subsidence Time Series[J].Journal of Institute of Surveying and Mapping,2005,22(3):169-171.
Authors:WANG Jian  GAO Jmg-xiang  ZHAO Dong-bao  CAI Jian-xin
Institution:WANG Jian, GAO Jmg-xiang,ZHAO Dong-bao, CAI Jian-xin(1 .College of Environment
Abstract:In this paper,multi-time scale characteristics in surface subsidence time series(SSTS) is analysized based on Morlet wavelet transform,mainly,including of multi-scale describing of periodical information.It represents the frequency characteristics in time-domain.All kinds of characteristics(the strength and distribution of time scales,the change trend and jump) of SSTS are demonstrated clearly.As an example,19 periodical surface subsidence observations in certain industrial area lasting 10 months are analysized,obtainning 2.1 and 4.1 month periods from SSTS.It shows wavelet transform has the advantage of probing the characteristics of SSTS.The influence factor of cycle obtained and physical,mechanics explaination require further investigation.
Keywords:surface subsidence time series  multiple-time scales  wavelet transform  periodical information
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