云南楚雄盆地上三叠统沉积及地球化学的海相特征

楚雄盆地为中生代形成的典型前陆盆地。三叠纪是其形成的主体阶段和盆山转换的重要时期,也是由海相向陆相沉积环境的转折期,同时上三叠统是楚雄盆地最重要的油气资源层系。通过对楚雄盆地上三叠统进行系统的沉积学、层序地层学和波动地质学分析,在上三叠统识别出3个三级层序,建立了层序地层格架和高频波动曲线。对层序地层格架内的碳、氧同位素和微量元素的特征进行分析,发现楚雄盆地晚三叠世诺利晚期—瑞替期沉积具有海相沉积环境的地球化学特征,同时综合多学科的研究成果,指出楚雄盆地该时期为一与海域相接的近海湖盆,并受到间歇性海侵的影响。而海相烃源岩与陆相烃源岩在生烃能力、分布规律等方面均具有较大的差异。因此,这一认识对于重新评价楚雄盆地晚三叠世烃源岩具有重要意义。     

青城子小佟家堡子、林家金矿成矿流体特征及成矿机制

小佟家堡子、林家金矿是青城子铅锌、金、银矿集区的中-大型金矿床,金矿床与沉积-变质期硅化岩关系密切。通过与矿区尖山岩体、新岭岩体中流体包裹体对比研究表明,金矿床与尖山岩体中主要发育水溶液包裹体,极少量的CO2包裹体、含CO2三相包裹体,而新岭岩体除发育以上包裹体外,还发育含子矿物多相包裹体。测温结果显示金矿床成矿流体温度为110～335℃,盐度3．9％～16．2％NaClrq拉曼光谱分析表明金矿床流体成分以H2O为主,少量的CO2、CH4等气体,表明成矿流体属NaCl-H2O体系。金矿床与尖山岩体中流体包裹体温度、盐度及成分相近,推断成矿流体主要来自沉积-变质期。     

Mesozoic Bimodal Volcanic Suite in Zhalantun of the Da Hinggan Range and Its Geological Significance： Zircon U-Pb Age and Hf Isotopic Constraints

1 Introduction Mesozoic volcano-intrusive rocks are widely distributed in the Da Hinggan Range of northeastern China, and are considered as one of the most spectacular geological sights in eastern Asia. Recently, studies on granites with high εNd(t) values and Phanerozoic crustal growth in the Centra Asian Orogenic Belt have greatly promoted fundamental research into the geology of this area (Jahn et al., 2000, 2001, 2004; Wu et al., 2000, 2002, 2003). However, work on the eruption time,…     

1998年5-6月南海上混合层、温跃层 不同定义的比较

本文根据混合层和温跃层的两种不同定义，对1998年南海南北部和西太平洋混合层和温跃层的定点观测资料进行了计算和分析，比较了不同定义确定的混层，温跃层的共同点和差异。在此基础上，得出南海和西太平洋的障碍层厚度。     

北大西洋秋季“三极子”海温结构对冬季大气环流场的影响

利用NCEP再分析资料、Hadley中心的海表面温度(SST)资料等,从北大西洋秋季海表面温度异常(SSTA)变化入手,对其影响后期冬季大气环流场的机制进行了分析。研究结果如下:(1)北大西洋SST异常与大气环流异常之间存在着相互作用;(2)秋季北大西洋SSTA具有较好的持续性,"正负正"海温异常空间分布导致12月巴伦支海上空500hPa位势高度异常偏高;(3)异常环流形势对应的海表面风异常场(SSWA)通过阶段性风-蒸发-SST异常反馈机制(WES机制)利于海温异常分布的持续及对上空异常大气环流的反馈;(4)三极子海温结构中负异常海温自10月份开始有自西向东的移动,风作用下蒸发加大,伴随上升运动自欧洲西部爱尔兰群岛出现自西向东移动的降水正异常区,潜热释放有利于冬季巴伦支海上空的异常高压脊发展。研究表明,北大西洋秋季SSTA通过阶段性海气相互作用机制影响海洋温度分布和大气环流异常,对后期冬季中国东北部的气候变化产生影响。     

脂类分析在海洋微藻化学分类学上的研究进展

总结了目前脂类研究在海洋微藻化学分类学上的研究进展。所有的海洋微藻脂类都含一定的脂肪酸和甾醇,而不同种类的海洋微藻都有其特殊的脂肪酸和甾醇组成特征,我们可以运用这些特性来判别微藻可能所处的化学分类学地位：如果运用从某些藻类中发现的部分罕见脂类成分,还有可能对微藻的个别种类进行确定。随着对微藻中脂类物质分离,提取、纯化技术研究的不断深入,加上质谱、核磁共振等结构分析手段和脂类衍生化技术的日益完善,可以构建海洋微藻脂类物质组成结构快速查询信息库,并使其成为微藻化学分类的一个重要辅助手段。     

Relationship between environment and the occurrence of the deep-water rose shrimp Aristeus antennatus (Risso, 1816) in the Blanes submarine canyon (NW Mediterranean)

We performed a multidisciplinary study characterizing the relationships between hydrodynamic conditions (currents and water masses) and the presence and abundance of the deep-water rose shrimp Aristeus antennatus in a submarine canyon (Blanes canyon in the NW Mediterranean Sea). This species is heavily commercially exploited and is the main target species of a bottom trawl fishery. Seasonal fluctuations in landings are attributed to spatio-temporal movements by this species associated with submarine canyons in the study area. Despite the economic importance of this species and the decreases in catches in the area in recent years, few studies have provided significant insight into the environmental conditions driving shrimp distribution. We therefore measured daily A. antennatus catches over the course of an entire year and analyzed this time series in terms of daily average temperature, salinity, mean kinetic energy (MKE), and eddy kinetic energy (EKE) values using generalized additive models and decision trees. A. antennatus was captured between 600 and 900 m in the Blanes canyon, depths that include Levantine Intermediate Water (LIW) and the underlying Western Mediterranean Deep Water (WMDW). The greatest catches were associated with relatively salty waters (38.5–38.6), low MKE values (6 and 9 cm² s⁻²) and moderate EKE values (10 and 20 cm² s⁻²). Deep-water rose shrimp occurrence appears to be driven in a non-linear manner by environmental conditions including local temperature. A. antennatus appears to prefer relatively salty (LIW) waters and low currents (MKE) with moderate variability (EKE).     

Distribution and characteristics of volcanic reservoirs in China

About forty productive oil/gas fields hosted in volcanic reservoirs have been found since 1957 in fourteen basins of China. They can be simply subdivided into two groups, the east and the west. Reservoir volcanic rocks of the east group are predominantly composed of Late Jurassic to Early Cretaceous rhyolite and Tertiary basalt, preferred being considered as rift type volcanics developed in the circum-Pacific tectonic regime. Those of the west are Permo-Carboniferous intermediate/basic volcanic rocks, being island-arc type ones developed in paleo-Asian Ocean tectonic regime.     

Study on drilling mechanism and optimization of percussion-extruding DTH hammer bit

The authors tested the percussion-extruding Down-the-hole （DTH）hammer bit with five different structures and mainly analyzed the drilling mechanism between conical bit and stepped bit. In addition, aiming at ＂the pile effect＂ in combination with the advantage＇ of stepped bit, we design a new cam spinning bit and test it outdoors. The result shows that using cam spinning bit can solve the problem of ＂the pile effect＂, which can also obtain higher drilling efficiency than using conical bit in high confining pressure strata. It is characterized by novel structure and high drilling speed as well as good guiding, and it is significant for improving efficiency in percussion-extruding drilling technique.     

Extending self-organizing maps for supervised classification of remotely sensed data

An extended self-organizing map for supervised classification is proposed in this paper. Unlike other traditional SOMs, the model has an input layer, a Kohonen layer, and an output layer. The number of neurons in the input layer depends on the dimensionality of input patterns. The number of neurons in the output layer equals the number of the desired classes. The number of neurons in the Kohonen layer may be a few to several thousands, which depends on the complexity of classification problems and the classification precision. Each training sample is expressed by a pair of vectors ： an input vector and a class codebook vector. When a training sample is input into the model, Kohonen＇s competitive learning rule is applied to selecting the winning neuron from the Kohouen layer and the weight coefficients connecting all the neurons in the input layer with both the winning neuron and its neighbors in the Kohonen layer are modified to be closer to the input vector, and those connecting all the neurons around the winning neuron within a certain diameter in the Kohonen layer with all the neurons in the output layer are adjusted to be closer to the class codebook vector. If the number of training sam- ples is sufficiently large and the learning epochs iterate enough times, the model will be able to serve as a supervised classifier. The model has been tentatively applied to the supervised classification of multispectral remotely sensed data. The author compared the performances of the extended SOM and BPN in remotely sensed data classification. The investigation manifests that the extended SOM is feasible for supervised classification.