能量色散X射线荧光光谱法测定钼矿石中钼铅铁铜

建立了能量色散X射线荧光光谱法测定钼矿石中钼、铅、铁、铜的方法,讨论了粒度效应、矿物效应的影响因素,确定了采取粉末样品,用系列标准样品建立工作曲线,通过元素间相互校正消除基体效应,用内控标准样品考察了方法的精密度(RSD,n=11)为0.44%～15.4%。实际样品的测定结果和化学法相符,可满足日常分析工作需要。     

新疆阿尔泰蒙库铁矿床的成矿流体及成矿作用

蒙库大型铁矿床赋存于上志留统—下泥盆统康布铁堡组变质火山-沉积岩系中,容矿岩石为石榴子石矽卡岩、变粒岩、浅粒岩和大理岩。矿体总体顺层分布,空间上与矽卡岩密切相关。研究表明,矽卡岩期石榴子石以发育玻璃质熔融包裹体、流体熔融包裹体和流体包裹体为特征,晚期矽卡岩阶段矿物中发育液相包裹体,变质期矿物中主要发育液相包裹体和含子矿物包裹体。矽卡岩期熔融包裹体的均一温度为1100℃,早期矽卡岩阶段流体包裹体均一温度变化于193～499℃,在450℃、350℃和230℃出现峰值。中期矽卡岩阶段均一温度变化于236～550℃,峰值为350℃。区域变质期均一温度介于132～513℃,在350℃、230℃和190℃出现峰值。流体包裹体的盐度w(NaCleq)介于1.23%～60.31%,流体密度变化于0.60～1.16g/cm3。石榴子石、石英和方解石的δ18OSMOW变化于0.2‰～8.4‰,δ18OH2O介于-5.1‰～5.33‰,δD为-127‰～-81‰,表明矽卡岩期成矿流体主要是岩浆水,混合少量大气降水;变质期流体主要为大气降水,为混合变质水。方解石δ13CPDB变化于-6.1‰～-2.3‰,表明流体中碳来自深部或地幔。成矿时代为早泥盆世早期(略晚于404～400Ma),成矿作用与矽卡岩的退化变质作用有关。     

山东省济宁强磁异常区深部铁矿初步验证及其意义

山东省济宁磁异常是一个重、磁同源体,面积大于100 km2,磁异常峰值为3800nT。钻探验证在孔深1041.57～1796.54m位置发现铁矿体,矿体总厚度74.04～220m,磁性铁平均品位15.89～25.19%。矿石类型有条带状方解磁铁石英岩和条带状磁铁石英大理岩,矿石的主要组成矿物为石英、方解石、磁铁矿、磁赤铁矿、菱铁矿。矿体产于济宁岩群浅变质岩系中,矿床特征与条带状铁建造（BIF）铁矿或鞍山式铁矿有明显区别,铁矿成因类型属与千枚岩、变质中酸性火山岩、大理岩有关的沉积变质型铁矿床。该区铁矿资源潜力巨大。     

基于群桩基础沉降估算确定压缩层厚度的探讨

在现行规范中,由于桩基沉降估算模式的不同,压缩层厚度的确定方法也不完全相同。对这些方法进行归纳、总结,并通过具体的工程实例,对由不同估算模式确定的压缩层厚度及沉降估算结果进行探讨与分析,认为对于工程场地地质资料掌握较为翔实的情况下,压缩层厚度可采用变形比法确定,否则,宜根据应力比法确定。     

海水叶绿素α浓度遥感测量的实验研究

本文描述了1989年11月在青岛即墨岙山养殖基地所做的海水叶绿素σ浓度遥感测量的基础实验。该实验获得了高浓度叶绿素α含量的海水反射光谱。该反射光谱的特征波段为:波谷在485nm;波峰在450nm 和535nm;“节点”在572nm.根据该实验数据选取了叶绿素α浓度两种双波段估算模式.分析结果表明;两种模式的精度都在50%以上,且双波段反射率的差值法优于双波段反射率比值法.     

Data assimilation for a coastal area morphodynamic model: Morecambe Bay

This paper investigates the use of data assimilation in coastal area morphodynamic modelling using Morecambe Bay as a study site. A simple model of the bay has been enhanced with a data assimilation scheme to better predict large-scale changes in bathymetry observed in the bay over a 3-year period. The 2DH decoupled morphodynamic model developed for the work is described, as is the optimal interpolation scheme used to assimilate waterline observations into the model run. Each waterline was acquired from a SAR satellite image and is essentially a contour of the bathymetry at some level within the inter-tidal zone of the bay. For model parameters calibrated against validation observations, model performance is good, even without data assimilation. However the use of data assimilation successfully compensates for a particular failing of the model, and helps to keep the model bathymetry on track. It also improves the ability of the model to predict future bathymetry. Although the benefits of data assimilation are demonstrated using waterline observations, any observations of morphology could potentially be used. These results suggest that data assimilation should be considered for use in future coastal area morphodynamic models.     

A Reconstruction of Observed Profiles in the Sea East of Japan Using Vertical Coupled Temperature-Salinity EOF Modes

It is important to estimate hard-to-observe parameters in the ocean interior from easy-to-observe parameters. This study therefore demostrates a reconstruction of observed temperature and salinity profiles of the sea east of Japan (30°≈40°N, 140°≈150°E). The reconstruction was done by estimating suboptimal state from several values of the observed profiles and/or sea surface dynamic height (SDH) calculated from the profiles. The estimation used a variational method with vertical coupled temperature-salinity empirical orthogonal function (EOF) modes. Profiles of temperature and salinity in the subtropical region are effectively reconstructed from in situ temperature profile data, or sea surface temperature (SST) and SDH. For example, the analyzed temperature field from SST and SDH has an accuracy to within 1°C in the subtropical region. Salinity in the sea north of Kuroshio, however, is difficult to estimate because of its complex variability which is less correlated with temperature than in the subtropical region. Sea surface salinity is useful to estimate the subsurface structure. We also show the possibility that the estimation is improved by considering nonlinearity in the equation calculating SDH from temperature and salinity analysis values in order to examine the misfit between analysis and observation. Analysis using TOPEX/POSEIDON altimetry data instead of SDH was also performed. This revised version was published online in July 2006 with corrections to the Cover Date.     

合浦珠母贝铁的穆斯堡尔谱学研究

应用^57Fe穆斯堡尔谱学的方法研究了四个不同生长期合浦珠母贝铁的化学状态和Fe^2 /Fe^3 的值，它们的Fe^2 和Fe^3 的相对含量分别为4.1%～29.4%和76.6%～95.9%,Fe^2 /Fe^3 值的变化为0.043～0.42。3个月龄的Fe^2 /Fe^3 值大于10个月龄，从10个月龄到22个月龄的Fe^2 /Fe^3 值呈增加的趋势，这可能反映了不同生长期合浦珠母贝对不同价态的铁的需求。     

Nonparametric Estimates of the Sea State Bias for the Jason-1 Radar Altimeter

The Jason-1 sea state bias (SSB) is analyzed in depth from the first year of GDR products. Compared to previous missions, this work benefits from two aspects of the empirical determination of the SSB from the altimetric data themselves. First, from a methodological point of view, a nonparametric technique (NP) has been developed and largely tested on TOPEX/Poseidon 1, GFO and Envisat data. The NP estimator has proven to be a useful tool in the SSB estimation, and it is now mature enough to be used for a refined analysis. On the other hand, the SSB can be extracted from three different data sets (crossovers, collinear data, and residuals) with different characteristics. It is then possible to cross calibrate various estimations of the SSB models and to determine the most accurate one. A systematic comparison is made between these different estimates for the Jason-1 altimeter. The collinear and crossover data sets yield very similar estimates despite their difference of spatial and temporal distributions. These SSB models assure consistency with the TOPEX mission when comparing Jason-1 and TOPEX residuals during the tandem phase. Thanks to the present work, the impact of the short wavelengths filtering on the SSB estimation is evidenced. More generally, our understanding of potential errors affecting the sea surface height and their impact onto the SSB estimation is also improved.