Estimating the geostrophic velocity obtained by HF radar observations in the upstream area of the Kuroshio

A method to extract geostrophic current in the daily mean HF radar data in the Kuroshio upstream region is established by comparison with geostrophic velocity determined from the along-track altimetry data. The estimated Ekman current in the HF velocity is 1.2% (1.5%) and 48° (38°)-clockwise rotated with respect to the daily mean wind in (outside) the Kuroshio. Furthermore, additional temporal smoothing is found necessary to remove residual ageostrophic currents such as the inertial oscillation. After removal of the ageostrophic components, the HF geostrophic velocity agrees well with that from the altimetry data with rms difference 0.14 (0.12) m/s in (outside) the Kuroshio.     

南海北部海区上层水体平均声速场的变化

对所收集到的南海北部海区的温度、盐度和深度历史资料进行了声速的计算、统计与分析,结果表明该海区上层水体的平均声速场有较明显的年际变化:表层声速的平面分布显示出沿岸水与外海水强弱交替变化的特征,声速等值线的走向几乎与岸线平行,等声速线的值自近岸向外海增加,大陆架外缘海区声速的水平梯度较大;下层声速的分布以环流和水体共同作用的形式出现,50m层声速平面分布的趋势除冬季与表层稍为相似外,其余季节与表层有明显的差别,春、夏季节50m层声速自西向东增加,而秋季与其表层分布相反,自近岸向外海减小;声速的垂直分布受海水升温与降温的影响显著,春、夏季表层海水升温,海表声速最大,声速自海表随深度的增加而减小;秋、冬季表层附近水层降温,声速稍偏低,普遍出现正梯度现象,最大声速移至表层以下的水层,这个深度随季节的改变而改变,随海区的不同而不同.该海区的平均声速有年波动现象,表层波幅最大,随深度的增加波幅变小,至100m水层其波动的位相几乎与表层相反.     

潮流沙脊的水力学问题探讨

借用河流水力学顺直河道中有两个次生横向环流的假说来解释潮流沙脊的成因，水槽实验和实际观察也支持了这一观点．正是这一次生的纵轴横向环流（即螺旋流）将泥沙从沟槽带向脊顶，建造了大致与潮流方向平行的潮流沙脊．根据底质粒度成份和分布特点．可分为粗底质沙脊和细底质沙脊两类．前者组成物质偏粗，底质分布为脊细槽粗，后者组成物质偏细，底质分布为脊粗槽细．这是因为影响颗粒起动流速的主导因素不同，前者以重力为主，后者以颗粒间粘结力为主．它们都反映沟槽中流速大于脊顶处流速．     

成都地区大气平均温度建模及其在GPS/PWV计算中的应用研究

地基GPS气象学的关键技术是在于通过垂直方向上GPS信号的湿分量延迟值来确定大气可降水量-PWV,而这两个物理量间进行转换时需要用到一个关键性的参数——大气加权平均温度。本文首先讨论了估算加权平均温度的几种方法,然后利用成都地区2005年全年的大气探空数据,采用回归分析方法,建立了适合成都地区的大气加权平均温度模型,精度为±2.21K。最后将该公式应用到成都地区PWV的计算中,得到了非常理想的效果。     

GPS单点测速的误差分析及精度评价 (英文)

Error sources which decrease the accuracy of GPS in absolute velocity determination have been changed since SA was turned off. Firstly, quantities of all kinds of error sources that influence velocity determination are analyzed. The potential accuracy of GPS absolute velocity determination is derived from both theory and field GPS data simulation. After that, two tests were carried out to evaluate the performance of GPS absolute velocity determination in the case of a static and an airborne GPS receiver and INS （Inertial Navigation System） instrument in kinematic mode. In static mode, the receiver velocity has been estimated to be several mm/s with the carrier-phase derived Doppler measurements, and several cm/s with the receiver generated Doppler measurements. In kinematic mode, GPS absolute velocity estimates are compared with the synchronized measurements from the high accuracy INS. The root mean square statistics of the velocity discrepancies between GPS and INS come up to dm/s. Moreover, it has a strong correlation with the acceleration or jerk of the aircraft.     

利用Jason-1卫星确定全球平均海面高

介绍了卫星测高数据处理的基本方法,分析研究了卫星测高的主要误差,提出了Jason-1的数据编辑准则,并用其测高数据确定了全球平均海面高,与CLS01模型进行了比较分析.     

山西临汾盆地黄土剖面重金属分布特征及其影响因素

山西临汾盆地2条黄土剖面重金属分布特征及其影响因素研究表明,Pb、Cu和Zn的垂向变化特征非常相似,而As、Cd和Hg在剖面中的分布特征与前三者不同。各重金属元素在黄土剖面中的变化特征首先均受到黄土源区物质成分的控制,其次不同程度地受到古气候变化的影响。依据Pb、Cu、Zn与各古气候替代性指标(例如磁化率,w(SiO2)/w(Al2O3)等)均呈显著相关,As、Cd和Hg与古气候替代性指标的相关性较差,推断剖面中Cu、Pb、Zn的分布特征受古气候变化的影响,其原因可能主要是这3个金属元素易以类质同象形式赋存在磁性矿物中;而As、Cd和Hg在剖面中的分布特征与古气候无关。但各重金属元素与源区指示元素的相关性表明其在剖面中的分布特征均受黄土源区物质成分的影响和控制。     

大别山黄石-六安反射地震剖面新的地质解释

在大别山黄石至六安反射地震剖面上有很多近水平的反射体,表明大别山中心部位的中、下地壳内也有近水平的分层性。反映有流变性和动力学方面的差异,与大型薄皮构造理论对岩石圈性质的认识一致,因而在其运动过程中应服从薄皮构造的运动规律。结合以往对大别山区划分的岩石一构造组合,在前人对此反射地震剖面所作的地质解释的基础上,对反射地震剖面作了较为详细的地质解释,并建立了大别山造山带在此剖面上的两维几何结构。剖面南部为造山过程中形成的背斜构造。地表15km深度内为由碰撞混杂岩组成的扬子与中一朝大陆之间的主滑脱带。剖面中部为造山期后的侵入体。剖面北部为主滑脱带的根带（通常认为的缝合带）,根带被中生代形成的晓天磨子潭断裂带切割。剖面最北端为变质复理石中略晚于主滑脱带的反向冲断带。推溺l下地壳的断开距离在扬子大陆俯冲时（三叠纪前）规模较大,然后逐渐缩小,直至保留到今天的规模。     

浅谈煤田地震勘探中影响纵向分辨率的主要因素

针对野外数据采集参数对分辨率的影响,对资料处理过程中静校正、反褶积、速度分析、Q补偿及谱白化等几个重要模块原理进行分析,指出在高速岩层中数据采集,应采用小药量激发,小道距,小排列,全三维,不组合、单点数字检波器接收。高密度多点采集,能够充分保护有效地质信息的高频成份,在更大范围内满足高分辨地震勘探的要求。资料处理过程中,在保证同相叠加和高信噪比的前提下,采用提高分辨率的模块以弥补地震波在传播过程中损失的高频成份。实践证明通过高保真、宽频带数据采集和高信噪比前提下的高分辨率数据处理,完全能够为矿井采掘提供高精度地震勘探资料。     

Estimation of covariance matrix from geochemical data with observations below detection limits

Multivariate statistical analyses have been extensively applied to geochemical measurements to analyze and aid interpretation of the data. Estimation of the covariance matrix of multivariate observations is the first task in multivariate analysis. However, geochemical data for the rare elements, especially Ag, Au, and platinum-group elements, usually contain observations the below detection limits. In particular, Instrumental Neutron Activation Analysis (INAA) for the rare elements produces multilevel and possibly extremely high detection limits depending on the sample weight. Traditionally, in applying multivariate analysis to such incomplete data, the observations below detection limits are first substituted, for example, each observation below the detection limit is replaced by a certain percentage of that limit, and then the standard statistical computer packages or techniques are used to obtain the analysis of the data. If a number of samples with observations below detection limits is small, or the detection limits are relatively near zero, the results may be reasonable and most geological interpretations or conclusions are probably valid. In this paper, a new method is proposed to estimate the covariance matrix from a dataset containing observations below multilevel detection limits by using the marginal maximum likelihood estimation (MMLE) method. For each pair of variables, sayY andZ whose observations containing below detection limits, the proposed method consists of three steps: (i) for each variable separately obtaining the marginal MLE for the means and the variances, , , , and forY andZ: (ii) defining new variables by and and lettingA=C+D andB=C–D, and obtaining MLE for variances, and forA andB; (iii) estimating the correlation coefficient _YZ by and the covariance _YZ by . The procedure is illustrated by using a precious metal geochemical data set from the Fox River Sill, Manitoba, Canada.