共查询到20条相似文献，搜索用时 62 毫秒
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JCZ-1T超宽频带地震计具有全频带覆盖特性,其低频端输出延伸到固体潮汐,利用地震计LP通道的垂直分向观测数据,经过处理获得有关的固体潮资料,通过对记录信号的频谱分析对其有了初步的认知。JCZ-1T超宽频地震计LP加速度垂直通道记录的观测信号以固体潮汐信息为主,用该仪器观测可以获取与地震相关的综合观测数据,分析JCZ-1T记录波形叠加的的固体潮信息有着重要的实际意义,通过对资料处理运用,可以与传统前兆仪器结合观测,拓展其研究应用领域,更好的服务于地震科学研究。 相似文献
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在地震与固体潮台站的日常监测中,常发现有一些异常"脉动"信号叠加在固体潮曲线上.这些异常"脉动"与宽频带数字地震计的观测在时间上同步、一致,其中的一部分由发生在西太平洋上的热带气旋引起,而其他的则大多与强地震相伴随,统称为震颤异常波.本文介绍了华中科技大学的地震与固体潮观测台站(HUST)的概况,报道了该台应用 DZW重力仪和VS-1倾斜仪观测记录到的大量震颤异常波事例.大量观测事实表明:中国固体潮台站记录的震颤异常波,绝大多数只在DZW重力仪和VS-1倾斜仪的低通滤波1 通道(LP1)出现,而在其低通滤波2通道(LP2)和其他固体潮仪器中则罕有发现;震颤异常波的包络线大多呈"纺锤状"或"尾巴状",持续时间多为1~3天. 通过对震颤异常波和固体潮观测仪器的分析研究,得到以下结论:震颤异常波实际上就是一种来源复杂的地球脉动信号,响应范围广泛,可被宽频带数字地震计和固体潮仪器记录.由西太平洋上的热带气旋引起的震颤异常波的主要周期在3~7 s范围,而强震前的震颤异常波则除此外,还包含10~60 s及更长周期的信号.固体潮仪器对震颤异常波响应的差异是因为仪器的传递函数不同和特性所致. DZW重力仪和VS-1倾斜仪分钟值采样数据中的震颤异常波,只是真实信号的一种"混叠"或映射.强震前的震颤异常波是否与地震有关？是否是震兆？尚需做更深入细致的分析和研究. 相似文献
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通过对连云港地震台BBVS-120、CTS-1E型地震计台基噪声功率谱分析,正弦标定和脉冲标定计算分析,近震和远震震级对比分析,研究在实际工作中2种地震计性能差异,对比观测数据质量,检验稳定性,以期为地震监测及相关研究工作提供依据. 相似文献
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《地球物理学进展》2016,(5)
固体潮信号是地球自转在月球和太阳作用下产生的混合复杂信号.本文提出一个重力固体潮信号的正交分解模型,通过将重力固体潮信号谐波分量,分解在两个正交的方向上,以提取独立的谐波分量.为了实现这一分解,本文采用独立成分分析算法进行验证分析.独立成分分析主要用于提取信号中的独立成分,但一般的独立成分分析算法具有对初始值敏感,收敛较早熟等问题.本文利用分布估计算法的学习概率模型全局寻优,克服独立成分分析算法缺点.通过实验仿真分析,改进算法可将重力固体潮信号成功分离出以下独立的谐波状态:半日波信号、日波信号、长周期波信号.并且,这些分离出的独立成分与本文提出的重力固体潮信号正交分解模型一致,分别对应于模型中的正交谐波分量. 相似文献
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基于Matlab的GUI开发环境,采用三仪器法设计地震计自噪声可视化软件,通过对3台地震计同背景同时段原始波形数据进行去均值、去趋势值等一序列数据处理,并运用Welch平均周期法计算噪声功率谱密度,最终绘制完成自噪声功率谱密度曲线。选取山东省临沂市马陵山比测基地作为软件测试地点,以2组各3套地震计(STS2.5、BBVS-120地震计)观测系统作为测试样本,进行地震计自噪声分析,结果发现,STS2.5和BBVS-120型地震计UD向自噪声功率谱曲线在0.04—2 Hz频带内均低于NLNM,表明地震计噪声性能良好,从而验证了软件的可行性与准确性。 相似文献
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通过对连云港地震台BBVS-120、CTS-1E型地震计台基噪声功率谱分析,正弦标定和脉冲标定计算分析,近震和远震震级对比分析,研究在实际工作中2种地震计性能差异,对比观测数据质量,检验稳定性,以期为地震监测及相关研究工作提供依据。 相似文献
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固体潮研究是研究地震成因、地震前兆与地震预测的重要内容.在开展固体潮地震预测研究之前,固体潮主要用于地球动力学研究.然而固体潮地震预测研究与固体潮地球动力学研究的目标截然不同.地球动力学从大的时间尺度和地球整体运动(包括地球内部及表面的构造运动)来探讨其动力演化过程,进而寻求其驱动机制.固体潮地震预测研究则是研究小时间尺度、区域性地壳构造运动中与地震有关的固体潮异常现象.二者相差甚远.在现行地震预测体系中,固体潮研究也远不能与测震学研究的重要性相比.为什么会出现这种情况?固体潮地震预测研究有什么特点?这些问题的讨论,有助于帮助我们强化地震预测的目标和概念、改进固体潮地震监测技术系统、探索新的数字信号处理方法. 相似文献
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Fragility curves constitute the cornerstone in seismic risk evaluations and performance-based earthquake engineering. They describe the probability of a structure to experience a certain damage level for a given earthquake intensity measure, providing a relationship between seismic hazard and vulnerability. In this paper a numerical approach is applied to derive fragility curves for tunnel shafts built in clays, a component that is found in several critical infrastructure such as urban metro networks, airport facilities or water and waste water projects. The seismic response of a representative tunnel shaft is assessed using tridimensional finite difference non-linear analyses carried out with the program FLAC3D, under increasing levels of seismic intensity. A hysteretic model is used to simulate the soil non-linear behavior during the seismic event. The effect of soil conditions and ground motion characteristics on the soil-structure system response is accounted for in the analyses. The damage is defined based on the exceedance of the concrete wall shaft capacity due to the developed seismic forces. The fragility curves are estimated in terms of peak ground acceleration at a rock or stiff soil outcrop, based on the evolution of damage with increasing earthquake intensity. The proposed fragility models allows the characterization of the seismic risk of a representative tunnel shaft typology and soil conditions considering the associated uncertainties, and partially fill the gap of data required in performing a risk analysis assessment of tunnels shafts. 相似文献
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How to improve the representation of hydrological processes in SWAT for a lowland catchment – temporal analysis of parameter sensitivity and model performance 
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下载免费PDF全文 Model diagnostic analyses help to improve the understanding of hydrological processes and their representation in hydrological models. A detailed temporal analysis detects periods of poor model performance and model components with potential for model improvements, which cannot be found by analysing the whole discharge time series. In this study, we aim to improve the understanding of hydrological processes by investigating the temporal dynamics of parameter sensitivity and of model performance for the Soil and Water Assessment Tool model applied to the Treene lowland catchment in Northern Germany. The temporal analysis shows that the parameter sensitivity varies temporally with high sensitivity for three groundwater parameters (groundwater time delay, baseflow recession constant and aquifer fraction coefficient) and one evaporation parameter (soil evaporation compensation factor). Whereas the soil evaporation compensation factor dominates in baseflow and resaturation periods, groundwater time delay, baseflow recession constant and aquifer fraction coefficient are dominant in the peak and recession phases. The temporal analysis of model performance identifies three clusters with different model performances, which can be related to different phases of the hydrograph. The lowest performance, when comparing six performance measures, is detected for the baseflow cluster. A spatially distributed analysis for six hydrological stations within the Treene catchment shows similar results for all stations. The linkage of periods with poor model performance to the dominant model components in these phases and with the related hydrological processes shows that the groundwater module has the highest potential for improvement. This temporal diagnostic analysis enhances the understanding of the Soil and Water Assessment Tool model and of the dominant hydrological processes in the lowland catchment. Copyright © 2013 John Wiley & Sons, Ltd. 相似文献
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高精度频率衰减分析技术及其应用(英文) 总被引：3，自引：1，他引：2
本文从含流体孔隙介质中的地震波场的衰减理论出发,对常规的频率衰减分析技术中的"低频阴影"和"频率衰减梯度"分析方法进行了改进,提出了一种高精度的频率衰减分析技术。首先,通过引入三参数小波变换和时频聚焦准则,发展了一种基于自适应三参数小波变换的高精度时频分析方法,其不仅具有很高的时—频分辨率(有利于"低频阴影"分析),而且其频谱只有一个峰,旁瓣比较小(有利于"频率衰减梯度"分析)。其次,采用基于最小二乘法的Nelder-Mead非线性算法对频谱的衰减部分进行拟合计算,可以准确地计算衰减系数,提高了"频率衰减梯度"的计算精度。实际资料的计算结果表明,本文提出的综合"低频阴影"和"频率衰减梯度"方法的频率衰减分析技术能够有效地圈定碳酸盐岩鲕滩储层的发育区域,且两种方法具有很好的一致性,有效地提高了储层预测的可靠性,从而降低了勘探风险。 相似文献
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ABSTRACTAn adaptive multilevel correlation analysis, a kind of data-driven methodology, is proposed. The analysis is done by subdividing the time series into segments such that adjacent segments have significantly different mean values. It is shown that the proposed methodology can provide multilevel information about the correlation between two variables. An integrated coefficient with its significance testing is also proposed to summarize the correlation at each level. Using the adaptive multilevel correlation analysis methodology, the correlation between streamflow and water level is investigated for a case study, and the results indicate that real correlation might be far more complicated than the empirically constructed picture.
EDITOR D. Koutsoyiannis ASSOCIATE EDITOR E. Volpi 相似文献
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对白银形变观测站2008年以来观测资料的运行、变化和噪声水平做初步分析,结果表明：DSQ 型水管倾斜仪观测资料连续、稳定、可靠具有明确的正常背景---夏高冬低,为今后地震前兆异常的判断打下基础;水管倾斜仪 EW 分量在2013年7月22日 MS 6．6地震前出现破年变变化,说明白银地震台水管倾斜仪具有一定的地震前兆异常监测能力。 相似文献
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Analysis of data characterizing the chemical composition of atmospheric precipitation was presented, with an emphasis on components responsible for neutralization of rain acidity. For this purpose, chemometric methods were applied. Based on a principal component analysis (PCA) a strong correlation between precipitation pH and potassium and ammonium ions in the heating period (October–March) and potassium and sodium ions in the non‐heating period (April–September) was observed. Additionally, a classification of eight variables, i.e., Na+, K+, Mg2+, Ca2+, , , Cl?, and according to their similarities was made using a cluster analysis. Based on this study, two ions, potassium and ammonium, together with the pH value were classified into one group (cluster) in the heating period while in the non‐heating period ions of potassium and sodium were clustered together with the pH. The results of the cluster analysis indicated that the selected ions contributed the most to the neutralization of the atmospheric precipitation acidity. This relationship was confirmed by a discriminant analysis in which potassium and ammonium ions were selected as components of the highest potential for precipitation classification according to its acidity degree. The relationship between the precipitation pH and the number of non‐precipitation days preceding the precipitation was also analyzed. It was found that although the observed an increase of the pH value was not very high, nevertheless, the effect of the duration of the period preceding the precipitation on the pH value recorded on the day of the precipitation occurrence was quite evident. 相似文献
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概述四川7.0级以上大震前观测场地的异常情况。在核实2个大震震前异常的基础上,将传统异常判别方法进行汇总。总结近年来针对跨断层监测数据进行分析进而识别异常的方法:原始数据反映的断层活动速率异常以及转折异常。在此基础上,引入小波分析的方法对大震前的异常进行判别。对小波分解得到的两个趋势项进行分析,发现了大震与小波分解项异常的对应性。最后,基于对原始数据和小波分解项的分析,提出利用跨断层数据分析大震前兆的参考意见,为以后的震前异常研究工作提供了基础。 相似文献
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Spectral analysis of climate data 总被引：2，自引：0，他引：2
The complexity of climate variability on all time scales requires the use of several refined tools to unravel its primary dynamics from observations. Indeed, ideas from the theory of dynamical systems have provided new ways of interpreting the information contained in climatic time series.We review the properties of several modern time series analysis methods. Those methods belong to four main classes: Fourier techniques (Blackman-Tukey and Multi-Taper), Maximum Entropy technique, Singular-spectrum techniques and wavelet analysis. Their respective advantages and limitations are illustrated by numerical experiments on synthetic time series. As climate data can be irregularly spaced in time, we also compare three interpolating methods on those time series. Those tests are aimed at showing the pitfalls of the blind use of mathematical or statistical techniques on climate data.We apply those methods to real climatic data from temperature variations over the last century, and the Vostok ice core deuterium record over the last glacial cycle. Then we show how interpretations on the dynamics of climate can be derived on those time scales. 相似文献
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Because it can be carried by flowing water, a sand/gravel pit on the river bed could migrate downstream. Consequently, the presence of pits on river beds could pose a safety threat to in-stream hydraulic structures such as bridge piers. A pit migration model can be used to predict progressive changes of pit geometry as it migrates downstream. However, due to the existence of many uncertainties, the maximum pit depth cannot be predicted with certainty. This paper adopted a simple pit migration model and evaluated the uncertainty associated with the calculated maximum pit depth. Such information is essential for evaluating the probability that a migrating pit could pose a safety threat to a downstream hydraulic structure. Three reliability analysis techniques were applied and their performances were compared. 相似文献