Prediction of the South China Sea Dipole Using SSA-MEM

ABSTRACT

A dipole structure appears in the sea surface height off the central coast of Vietnam during boreal summer in the South China Sea. This dipole, which possesses a chlorophyll signature associated with higher phytoplankton concentrations arising from nutrient upwelling, is important for the productivity of local fisheries. Multi-satellite sea level anomalies are used to investigate the life cycle of the dipole structure. By applying empirical orthogonal function (EOF) analysis, the third EOF mode (EOF 3) is found to represent the major variations of the dipole structure. By removing the temporal noise of EOF 3, a South China Sea dipole index is defined. This index captures the life cycle of the dipole including its generation, mature strength, and final termination. Both one-dimensional and two-dimensional forecasts are generated using a statistical forecasting method that combines singular-spectrum analysis and the maximum entropy method. The appearance of the dipole structure can be predicted with an accuracy of 78% at one-month lead times and an accuracy of 61% at one-year lead times.     

Molecular and morphometric characterisation of the invasive signal crayfish populations in Croatia

The signal crayfish Pacifastacus leniusculus (Dana, 1852) is a native species to North America. It was introduced to Europe and Japan where it rapidly spread as an invasive species. In Croatia, it is recorded in the rivers Mura and Drava, where it spread downstream from Slovenia, and in the Korana River, where it has been recently illegally introduced. In the invaded areas, signal crayfish outcompetes native crayfish species. Since the knowledge on the genetic diversity of this invasive species is limited, microsatellite markers and sequences of mitochondrial gene for 16S rRNA were analysed to explore the genetic relations between the two Croatian populations (Mura and Korana rivers) as well as their relation to other already studied European populations. Moreover, 16S rRNA sequence fragments of Croatian samples were compared with those from the native range in the west North America. Morphometric characteristics were also studied to determine if there are significant differences between studied populations and if these are concordant with the genetic analyses results. Also, morphometric data were used to assign Croatian signal crayfish into subspecies classification according to Miller’s discriminant function formula, and to compare claw surface area among Croatian, Japanese and North American populations. Based on the results of morphometric characteristics Croatian samples showed Pacifastacus leniusculus leniusculus-like morphology. Phylogenetic reconstruction based on 16S rRNA, positioned Croatian samples into P. leniusculus sensu Larson et al. (2012). Results on microsatellite markers showed that the genetic diversity of P. leniusculus in the Mura River population is slightly higher compared to the Korana River population, but these two populations do not form separated genetic clusters. This study contributes to the knowledge on genetic variability and morphometric characteristics of signal crayfish in Europe and further understanding of its success as an invasive species.     

Site characterization model using least‐square support vector machine and relevance vector machine based on corrected SPT data (Nc)

Statistical learning algorithms provide a viable framework for geotechnical engineering modeling. This paper describes two statistical learning algorithms applied for site characterization modeling based on standard penetration test (SPT) data. More than 2700 field SPT values (N) have been collected from 766 boreholes spread over an area of 220 sqkm area in Bangalore. To get N corrected value (N_c), N values have been corrected (N_c) for different parameters such as overburden stress, size of borehole, type of sampler, length of connecting rod, etc. In three‐dimensional site characterization model, the function N_c=N_c (X, Y, Z), where X, Y and Z are the coordinates of a point corresponding to N_c value, is to be approximated in which N_c value at any half‐space point in Bangalore can be determined. The first algorithm uses least‐square support vector machine (LSSVM), which is related to a ridge regression type of support vector machine. The second algorithm uses relevance vector machine (RVM), which combines the strengths of kernel‐based methods and Bayesian theory to establish the relationships between a set of input vectors and a desired output. The paper also presents the comparative study between the developed LSSVM and RVM model for site characterization. Copyright © 2009 John Wiley & Sons, Ltd.     

顾及形态特征和语义信息的双线道路识别方法

双线道路识别与提取是城市路网综合的关键。提出了一种城市双线道路提取的方法。在构建好的道路网眼的基础上,综合考虑双线道路网眼形态特征以及构成网眼路段之间的语义相似度,设计了识别双线道路网眼的综合指标。通过判断网眼综合指标确定最终的双线道路网眼,最后根据识别出的双线道路网眼提取出双线道路。实验表明,该方法能有效提取出城市道路数据中的双线道路。     

塔里木盆地西南凹陷古新统巨厚海相石膏岩沉积特征及环境意义

塔里木盆地(简称塔,下同)西南凹陷古新世阿尔塔什组发育巨厚层海相石膏岩,夹薄层泥岩、粉砂岩及灰岩,是塔西南凹陷断续海侵环境下多期次蒸发沉积的产物。野外调查显示,该层海相石膏岩出现于皮拉里、阿尔塔什、麻扎塔格及大山口地区的阿尔塔什组露头剖面。石膏岩在凹陷内分布广泛,在西昆仑山前、南天山山前及麦盖提斜坡带均有发育且沉积厚度比较稳定。石膏岩中主要盐类矿物为石膏、硬石膏。扫描电镜分析发现,石膏岩中尚含石盐、钙芒硝及含钾镁的硫酸盐等;石膏岩样品中石盐、石膏、硬石膏等多呈细晶或自形微晶,推测阿尔塔什组沉积期,古盐湖曾出现过富钾卤水;通过对皮拉里剖面石膏岩样品进行地球化学分析,揭示该地区古新世古盐湖演化过程中出现2个相对富钾峰值。在古盐湖演化过程中,由于多期次特提斯海水的侵入,凹陷内部阿尔塔时期发育了碎屑岩—巨厚层石膏岩—碎屑岩的沉积韵律,古盐湖卤水表现为淡—咸—淡的变化规律。伴随着阿尔塔时期4次大规模的海侵,石膏岩沉积从西昆仑山前扩展到麦盖提斜坡地带,海侵范围也逐渐扩大。在阿尔塔什组顶部发育中厚层灰岩,显示在阿尔塔什组沉积晚期,塔西南凹陷沉积环境从●湖相逐渐向浅海相环境演变。     

加拿大萨斯喀彻温亚盆地某钾盐矿地质特征及其成因探讨

加拿大萨斯喀彻温亚盆地某矿区含钾盐矿层的属性母岩——草原蒸发岩具有良好的连续性,深度通常小于960m。矿石品级相对较高,K_2O舍量在9.26%~58.20%。草原蒸发岩内含有三个钾盐成矿段,分别为耐心湖(Patience Lake)含钾岩段、贝尔平原(Belle Prairie)含钾岩段、埃斯特黑齐(Esterhazy)含钾岩段。根据萨省的地球物理测井资料得出的钾盐厚度和品位数据,以及萨省政府最近发布的评估萨省钾盐资源潜力的资料,作者研究整理了萨省某区的地震、钻孔数据,预测了某区的优先勘探靶区,并对该地区的钾盐矿床地质成因做了初步探讨。     

准噶尔盆地东部沙帐地区中二叠统平地泉组一段致密油源储组合模式

综合利用录井、镜下薄片及压汞等资料,对准噶尔盆地东部沙帐地区中二叠统平地泉组一段致密油储集层岩性、储集空间和孔隙结构等特征进行了分析,在此基础上结合平一段致密油纵向岩性组合特征及源储关系,总结了平一段致密油源储组合模式。研究发现平一段致密油储集层岩性以碎屑岩为主,云质类岩石次之,储层孔隙结构具"粗态型"、"偏细态型"和"细态型",储集空间表现为常规孔隙与纳米孔隙并存;平一段源储组合表现为"泥包砂"、"砂包泥"和"砂泥互层"。研究表明:平一段储集层表现为致密储层特征,纳米孔喉是致密油储层的主体孔喉,平一段致密油具有源储一体型、源储交接型和源储隔离型三类组合模式。     

遥感综合信息在宁芜地区找矿预测中的应用

为了研究宁芜北段火山岩盆的矿产资源潜力及空间分布,本文以Landsat8中分辨率遥感数据及Pleiades1高分辨率遥感数据为数据源,综合运用目视解译法和多种遥感图像增强技术,结合区域成矿地质背景,对研究区进行了遥感影像解译,提取了与预测矿种密切相关的线、环、色、带、块遥感五要素。通过分析遥感五要素矿产地质特征与矿产点分布关系表明,研究区内的铁铜硫金矿床及星罗棋布的矿点大部分位于构造岩浆成矿亚带中,受区内北东向、东西向、北西向及其它断裂纵横交叉形成的断裂网格及火山机构控制,大多分布在数条断裂带交汇位置,另有一些分布在断裂带与环形构造的交汇处附近。基于主要的矿点受区内断裂网格及火山机构控制,遥感图像的综合地质信息特征与找矿目标紧密相联,说明了基于遥感图像的综合信息可以作为找矿预测的标志。     

豫西偃龙煤田深部铝土矿地质特征及矿床成因

偃龙煤田深部铝土矿区位于豫西铝土矿成矿区嵩箕铝土矿成矿小区,是豫西铝土矿成矿区的重要组成部分。区内铝土矿赋存于上石炭统本溪组中上部,下伏具有岩溶特征的寒武—奥陶纪灰岩,沉积相为滨岸泻湖泥岩相区,属海相沉积的一水硬铝石岩溶型矿床,矿体主要填充在岩溶作用形成的负地形之中。本文系统阐述了矿区的含矿岩系、矿床地质及矿石质量特征等,研究了本区铝土矿的成矿地质条件、矿床的展布规律和富集规律,对矿床成因及控矿因素进行了分析,指出铝土矿床分布在坳陷区边部及隆起区的过渡带,铝土矿的厚度和品质与本溪组厚度有着明显的正相关关系,预测深部仍有较好的成矿远景。     

鹿井铀矿床铀矿物学特征

鹿井矿床位于南华活动带华夏褶皱带武功—诸广断隆区,闽、赣后加里东褶皱地块西缘,诸广山复式岩体中段,受遂川断裂及热水断裂组成的地堑式断陷带控制。本文主要对鹿井矿床内铀矿物的赋存状态、成分特征及组合特征进行了研究。