Efficient Estimation of the Evolutionary Spectra of Earthquate Signals Based on Wavelet Analysis

基于小波分析的地球信号演化谱高效估计

• 批准号: 0201050
• 负责人: Pol Spanos
• 金额: --
• 依托单位: William Marsh Rice University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-10-15 至 2006-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0201050&HistoricalAwards=false
• 关键词: Efficient; Estimation; Evolutionary; Spectra; Earthquate

The research program examines novel procedures of spectral estimation related to the processing of seismic data. Wavelet analysis is employed to describe the time-dependent characteristics and localized events present in earthquake records. The wavelet transform is increasingly being used in a variety of applications.Various wavelets families are examined for use in seismic spectrum estimation problems. The suitability of the various methods for estimating the cross spectra of two accelerograms is investigated, and the spatial variability of seismic records examined. The method developed will be applied in processing a small but representative number of records from important earthquakes, such as the Kocaeli seismic event in Turkey, and the Northridge seismic event in California. The evolutionary spectral content of seismic records, obtained via the wavelet method, has potential application to the safety of critical constructed facilities.

该研究项目研究了与地震数据处理相关的新的谱估计程序。小波分析被用来描述地震记录中存在的时变特征和局部事件。小波变换在各种应用中的应用越来越广泛。各种小波族被用来研究地震动谱估计问题。研究了各种方法估计两个加速度记录交叉谱的适用性，并考察了地震记录的空间变异性。开发的方法将用于处理来自重要地震的少量但具有代表性的记录，例如土耳其的科凯利地震事件和加利福尼亚州的北岭地震事件。通过小波方法得到的地震记录的演化频谱含量，对关键设施的安全具有潜在的应用价值。