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为探索南海某区域海洋环境噪声谱级与风场的相关特性,结合潜标海洋环境噪声数据及对应海域的海面风场再分析数据,计算各频段噪声级与风速相关系数及线性拟合函数。分析结果表明:400～1 000 Hz频段,海洋环境噪声谱级与海面风速的相关系数在0.5～0.8之间,达到中等相关。1 000～5 000 Hz频段,两者互相关系数大于0.8,达到高度相关。对海洋环境噪声谱级与对数风速的回归分析结果显示,1000～5 000 Hz频段,两者的线性函数关系显著;并且在1 000 Hz附近的拟合斜率最大,海洋环境噪声谱级对海面风速变化的灵敏度最高。 相似文献
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月亮虽然就在人们头顶上,但毕竟可望而不可及,人类真正到达月球的时间还不到50年。虽然如此,人类的想象却早就在千年之前就已经游遍了月球;中国的月亮上住着美丽的嫦娥,寂寞地独守广寒富;古希腊的月神是太阳神阿波罗的妹妹阿可尔忒弥斯,也是女性纯洁的化身;古埃及的月神托特,同时也是智慧之神;在日本,月神叫做"月读命",是太阳神天照大御神的弟弟……在所有民族的神话里,月神都是最重要的神之一,在古人眼里,统治黑夜的月亮虽然没有统治白天的太阳那么耀眼,但比起天空里的其他星星,其地位还是高高在上的。 相似文献
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根据舰船辐射噪声频域特性，从舰船辐射噪声线谱、谱密度的发展变化趋势、特征频段信号能量 3 个方面考虑，对舰船辐射噪声仿真数据和实测数据进行一致性分析，综合评估舰船辐射噪声仿真模型置信度。通过对舰船辐射噪声仿真模型置信度分析，为舰船辐射噪声仿真信号源置信度提供理论支撑。 相似文献
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利用风浪实验资料,系统地研究了列率谱随风速,风区的演变规律。与频率谱的计算结果比较表明：在主含能频段,特别在峰频附近,两种谱估计方法所得结果基本吻合。但在高频段,特别在二倍峰频附近,两种谱估计方法所得结果存在明显差异。文中就其存在的差异给出了可能的物理解释。 相似文献
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背景噪声的强弱是影响地震台站观测的一个重要因素。获取背景噪声的分布特征对评估海底地震仪记录数据质量及对数据的降噪处理均具有重要的指示意义。利用概率密度函数方法获取台站数据的功率谱密度的概率分布特征并与全球背景噪声高值模型和低值模型进行对比是研究台站周围环境背景噪声水平的有利手段。本研究基于南海大规模的被动源海底地震仪台阵长期观测实验的部分数据,利用概率密度函数方法研究了南海的背景噪声。首先,在全频段上对背景噪声进行了分析,并与其他台站做了对比,发现海洋的背景噪声在微震段和低频段大于高值模型且在全频带上远大于陆基台站的背景噪声,这表明海底地震仪数据质量并不高;其次,对观测过程中出现的地震事件以及其他典型信号的概率密度分布进行了归纳总结,发现远震事件、近震事件和数据丢失现象分别具有不同的优势频段和特征,这对后续滤波处理和质量检查具有重要指示意义;最后,研究了背景噪声的时间变化特征,发现台风是导致微震段时间变化的主要原因。 相似文献
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空间扰动引力的谱分析 总被引：1，自引：0，他引：1
基于重力场的频谱理论，给出了扰动引力在全球平均意义下的功率谱表达式，揭示了扰动引力的传播特性。通过数值试验，给出了扰动引力随高度变化规律，并分析了不同高度上，扰动引力恢复重力场的最高阶数及相应分辨率。从理论上分析了航空重力测量探测重力场中高频信息的能力，对制定飞行方案有一定参考价值。 相似文献
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简述了SGG数据恢复局部重力场的理论本质以及卫星重力梯度边值问题;详细介绍了当前国内外利用SGG进行局部重力场求解的研究进展,并将已有的求解方法总结归纳为三类：模型法、计算法和组合法,同时对各种方法的概念和研究现状作了详细介绍;最后总结了SGG数据求解局部重力场的发展前景和思考建议。 相似文献
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从地球重力场测量要素出发,按照局部重力场模型、区域重力场模型、全球重力场模型求解的发展思路,分析了对地球重力场测量技术手段的要求。根据高-低卫星跟踪卫星的距离和距离变率开展定轨研究的概念,梳理了卫星跟踪卫星重力测量系统的发展。针对卫星跟踪卫星重力测量技术的内涵,分析了高-低卫星跟踪卫星测量模式（SST-hl）和高-低低卫星跟踪卫星测量模式（SST—hll）的地球重力场测量本质。 相似文献
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Ahmed Zaki Ahmed Hamdi Mansi Mohamed Selim Mostafa Rabah Gamal El-Fiky 《Marine Geodesy》2018,41(3):258-269
The determination of high-resolution geoid for marine regions requires the integration of gravity data provided by different sources, e.g. global geopotential models, satellite altimetry, and shipborne gravimetric observations. Shipborne gravity data, acquired over a long time, comprises the short-wavelengths gravitation signal. This paper aims to produce a consistent gravity field over the Red Sea region to be used for geoid modelling. Both, the leave-one-out cross-validation and Kriging prediction techniques were chosen to ensure that the observed shipborne gravity data are consistent as well as free of gross-errors. A confidence level equivalent to 95.4% was decided to filter the observed shipborne data, while the cross-validation algorithm was repeatedly applied until the standard deviation of the residuals between the observed and estimated values are less than 1.5 mGal, which led to the elimination of about 17.7% of the shipborne gravity dataset. A comparison between the shipborne gravity data with DTU13 and SSv23.1 satellite altimetry-derived gravity models is done and reported. The corresponding results revealed that altimetry models almost have identical data content when compared one another, where the DTU13 gave better results with a mean and standard deviation of ?2.40 and 8.71 mGal, respectively. A statistical comparison has been made between different global geopotential models (GGMs) and shipborne gravity data. The Spectral Enhancement Method was applied to overcome the existing spectral gap between the GGMs and shipborne gravity data. EGM2008 manifested the best results with differences characterised with a mean of 1.35 mGal and a standard deviation of 11.11 mGal. Finally, the least-squares collocation (LSC) was implemented to combine the shipborne gravity data with DTU13 in order to create a unique and consistent gravity field over the Red Sea with no data voids. The combined data were independently tested using a total number of 95 randomly chosen shipborne gravity stations. The comparison between the extracted shipborne gravity data and DTU13 altimetry anomalies before and after applying the LSC revealed that a significant improvement is procurable from the combined dataset, in which the mean and standard deviation of the differences dropped from ?3.60 and 9.31 mGal to ?0.39 and 2.04 mGal, respectively. 相似文献
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The knowledge of the bedrock topography (instead of the ocean-floor relief) is required in various geoscience studies investigating the evolution and structure of the oceanic lithosphere. The gross density structure and thickness of marine sediments were obtained from ocean drilling data or seismic surveys. Alternatively, marine gravity data corrected for the ocean and sediment density contrasts can be used for a detailed mapping of the bedrock topography. In this study, we compute and apply the sediment stripping correction to marine gravity data. The sediment density distribution is approximated by a 3-D density model derived based on the analysis of density samples from the Deep Sea Drilling Project. Methods for a spherical harmonic analysis and synthesis are utilized in computing the sediment stripping correction. Results show that this correction varies between 0 and 32 mGal. We also demonstrate that the approximation of heterogeneous sediment structures by a uniform density model yields large errors. The spectral analysis reveals a high correlation (>0.75) between the sediment-stripped marine gravity data and the bedrock topography. The application of the sediment stripping correction to marine gravity data enhanced the gravitational signature of the sediment-bedrock interface. 相似文献
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Sean L. Bruinsma Christoph Förste Sandrine Mulet Marie-Hélène Rio Oleg Abrikosov Jean-Charles Marty 《Marine Geodesy》2016,39(3-4):238-255
The impact of GOCE Satellite Gravity Gradiometer data on gravity field models was tested. All models were constructed with the same Laser Geodynamics Satellite (LAGEOS) and Gravity Recovery and Climate Experiment (GRACE) data, which were combined with one or two of the diagonal gravity gradient components for the entire GOCE mission (November 2009 to October 2013). The Stokes coefficients were estimated by solving large normal equation (NE) systems (i.e., the direct numerical approach). The models were evaluated through comparisons with the European Space Agency's (ESA) gravity field model DIR-R5, by GPS/Leveling, GOCE orbit determination, and geostrophic current evaluations. Among the single gradient models, only the model constructed with the vertical ZZ gradients gave good results that were in agreement with the formal errors. The model based only on XX gradients is the least accurate. The orbit results for all models are very close and confirm this finding. All models constructed with two diagonal gradient components are more accurate than the ZZ-only model due to doubling the amount of data and having two complementary observation directions. This translates also to a slower increase of model errors with spatial resolution. The different evaluation methods cannot unambiguously identify the most accurate two-component model. They do not always agree, emphasizing the importance of evaluating models using many different methods. The XZ gravity gradient gives a small positive contribution to model accuracy. 相似文献
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ABSTRACTDifferent types of gravity observations are available over coastal areas. The main challenge for coastal geoid determination is the proper fusion of heterogeneous gravity data including land, shipborne, airborne, and altimetry-derived gravity data. This paper describes the gravity data fusion and the computation of the gravimetric quasigeoid in the coastal area of mainland China. An iterative procedure of the weighted least-squares prediction based on rectangular harmonic functions is used for merging the land, altimetric, shipborne, and airborne gravity data. Applying the analytical continuation method in Molodensky's theoretic frame, the merged gravity data are then used to determine the gravimetric quasigeoid model by using the generalized Stokes' integral in a remove-compute-restore fashion. The gravimetric quasigeoid model is compared with the height anomalies determined at 662 GPS leveling points over the coastal region of mainland China, where both the geodetic height and the normal height are known. The standard deviations of the differences in the coastal provinces range from 1.8 to 4.4 cm. For the entire computation area, the mean and standard deviation of the differences are 27.9 and 3.9 cm, respectively. 相似文献