共查询到20条相似文献，搜索用时 125 毫秒
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为定量刻画数字化形变观测资料中背景信息和噪声的时 频分布特征, 本文应用二进小波变换方法, 通过对小波分解的主模特征和随机白噪声识别因子变化特征分析, 剖析了山东数字化形变观测资料的正常动态背景和噪声变化规律. 结果表明, 当尺度取2, 3和4时, 分解后的细节部分存在着1/4日波、 半日波、 日波和半月波等准循环周期信号, 其中尤以尺度为3时的信号波幅最大; 尺度取1和5时的细节部分主要包含着噪声; 通过分析和追踪指定尺度的数字化形变观测资料小波变换的非震异常特征变化, 可望捕捉到与强地震孕育过程有关的前兆异常信息. 相似文献
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尝试性地将一种双树复小波包变换方法应用于地震信号分析中. 复小波包变换综合了实小波包变换与连续复小波变换各自的优点，不但能提取信号的相位信息，而且选取与被分析信号相频特性相匹配的复小波包，可以对信号产生更好的聚焦作用. 本文描述了一种双树复小波包变换算法，并给出了模拟信号及实际地震记录的分析实例. 研究结果表明，双树复小波包变换是分析具有非线性相位地震信号的一种较为有效的方法. 相似文献
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上海佘山钻孔形变观测资料正常背景噪声变化特征分析 总被引：1，自引：0，他引：1
对上海佘山钻孔形变观测资料正常的背景噪声进行初步分析并定量刻画其正常信息场的变化特征。结果显示:上海佘山形变观测资料的小波变换细节部分不同尺度包含着不同的信号成分,通过研究形变观测资料小波变换各尺度信号的非震异常特征变化,可能会捕捉到与地震孕育过程有关的前兆异常信息。 相似文献
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利用地球日长（LOD）资料和美国环境预报中心/国家大气研究中心（NCEP/NCAR）的气象要素资料，统计分析发现1962-2010年LOD的变化和北半球中纬度地面温度均存在明显的十年以上的波动周期.相关分析、合成分析等统计方法均检测到LOD与中纬度地面温度的显著负相关关系，当地球自转速率加快时，北半球中纬度地面增温；反之，中纬度地面降温.小波功率谱和交叉谱分析则确定二者的相互关系属于准20年周期尺度上的年代际变化联系，并且LOD的变化超前于地面温度的变化大概3~4年.平均而言，LOD的变化可带来中纬度地面温度0.2℃的降温（或增温）.通过对大气相对角动量、纬向风场、海平面气压场的年代际合成分析，揭示了LOD与地面温度的年代际联系形成的具体物理过程.当地球自转加速时，北半球高低纬度经向温差梯度减弱，热带地区向极地扩展，造成北半球中纬度地区地面增温；地球自转减速时段相反，经向温差梯度增强，热带地区向赤道收缩，中纬度地区地面降温. 相似文献
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Liu Xiqiang 《中国地震研究》2005,19(2):181-191
Based on the Morlet complex wavelet transformation, the authors put forward a kind of new method for distinguishing periods of seismic activity and quietude and a new physical thought on the time-dependent wavelet accumulation energy spectrum with periods, the time-frequency distribution of wavelet vibration period spectrum and period-specific wavelet vibration spectrum. By applying the above methods to a time series which is composed of earthquake accumulation energy per year for the world, the Chinese continent and North China,respectively, we obtained some new information about the rhythm of shallow earthquake activity. Considering the historic earthquakes and the rhythm characteristics of current strong earthquake activity, the earthquake tendency in the next years is discussed. 相似文献
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Long-term trend analysis using discrete wavelet components of annual precipitations measurements in Marmara region (Turkey) 总被引：4，自引：0，他引：4
The purpose of this study is to determine the possible trends in annual total precipitation series by using the non-parametric methods such as the wavelet analysis and Mann-Kendall test. The wavelet trend (W-T) analysis is for the first time presented in this study. Using discrete wavelet components of measurement series, we aimed to find which periodicities are mainly responsible for trend of the measurement series. We found that some periodic events clearly affect the trend of precipitation series. 16-yearly periodic component is the effective component on Bal?kesir annual precipitation data and is responsible for producing a real trend founded on the data. Also, global wavelet spectra and continuous wavelet transform were used for analysis to precipitation time series in order to clarify time-scale characteristics of the measured series. The effects of regional differences on W-T analysis are checked by using records of measurement stations located in different climatic areas. The data set spans from 1929 to 1993 and includes precipitation records from meteorological stations of Turkey. The trend analysis on DW components of the precipitation time series (W-T model) clearly explains the trend structure of data. 相似文献
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Cristian Suteanu 《Surveys in Geophysics》2014,35(5):1215-1242
The goal of this paper is to provide an overview of recent progress regarding the acquisition and processing of surface air temperature data in the Arctic. It highlights potential methodological contributions to the identification and characterization of pattern change, focusing on spatial and temporal correlations and scale-symmetry properties of time series. The presented methods include L-moments, climate network analysis, detrended fluctuations analysis, and Haar wavelet analysis. New results concerning data from high-latitude Arctic stations illustrate some of the presented methodological aspects. 相似文献
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Stuart N. Lane 《水文研究》2007,21(5):586-607
A basic hypothesis is proposed: given that wavelet‐based analysis has been used to interpret runoff time‐series, it may be extended to evaluation of rainfall‐runoff model results. Conventional objective functions make certain assumptions about the data series to which they are applied (e.g. uncorrelated error, homoscedasticity). The difficulty that objective functions have in distinguishing between different realizations of the same model, or different models of the same system, is that they may have contributed in part to the occurrence of model equifinality. Of particular concern is the fact that the error present in a rainfall‐runoff model may be time dependent, requiring some form of time localization in both identification of error and derivation of global objective functions. We explore the use of a complex Gaussian (order 2) wavelet to describe: (1) a measured hydrograph; (2) the same hydrograph with different simulated errors introduced; and (3) model predictions of the same hydrograph based upon a modified form of TOPMODEL. The analysis of results was based upon: (a) differences in wavelet power (the wavelet power error) between the measured hydrograph and both the simulated error and modelled hydrographs; and (b) the wavelet phase. Power difference and wavelet phase were used to develop two objective functions, RMSE(power) and RMS(phase), which were shown to distinguish between simulated errors and model predictions with similar values of the commonly adopted Nash‐Sutcliffe efficiency index. These objective functions suffer because they do not retain time, frequency or time‐frequency localization. Consideration of wavelet power spectra and time‐ and frequency‐integrated power spectra shows that the impacts of different types of simulated error can be seen through retention of some localization, especially in relation to when and the scale over which error was manifest. Theoretical objections to the use of wavelet analysis for this type of application are noted, especially in relation to the dependence of findings upon the wavelet chosen. However, it is argued that the benefits of localization and the qualitatively low sensitivity of wavelet power and phase to wavelet choice are sufficient to warrant further exploration of wavelet‐based approaches to rainfall‐runoff model evaluation. Copyright © 2006 John Wiley & Sons, Ltd. 相似文献
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We analyzed the relationship between the earth’s rotational variation and sea-surface temperature anomaly. By means of using Fast Fourier Transform (FFT) bandpass filter on the change of length-of-day (ΔLOD) data, the interannual variation series having time periods greater than 1.5-year and less than 8-year was obtained. Time series analyses of the interannual variation, which corresponds to the El Niño period, reveal a close linkage between the earth’s rotation and El Niño. A detailed comparison suggests, that six of seven El Niño events are nearly synchronous with the interannual variation of the earth’s rotation, and all ΔLOD peak are in El Niño years except 1991–92, which means the interannual variation of the earth’s rotation in these years is relatively slow. The correlation between ΔLOD and sea-surface temperature is about 0.517 (1 month-lag), which far exceeds the 99% significance level. 相似文献
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Linear trend analysis of geophysical time series is considered in connection with the problem of determining long-period variations (possibly of man-made origin) in the presence of short period noise of larger amplitude. Criteria for testing hypotheses about linear trends are presented for the cases of independent observations and of the observations whose correlation function is known. The possibility of increasing the precision of the results using area-averaged values is investigated. Examples are given of the long time series analysis of air temperature, carbon dioxide and water vapor content. Time series of total atmospheric ozone content at some stations are also considered, and conditions for correct statistical analysis of such data are given. 相似文献