长江口邻近海域夏季大型底栖生物群落特征

本文根据2014年6月长江口邻近海域大型底栖生物的调查资料, 采用优势度指数, 物种多样性指数、丰富度指数、均匀度指数, Bray-Curtis相似性聚类和非参数多维标度排序(nMDS)标序方法, 分析了长江口邻近海域夏季大型底栖生物的群落特征。本次调查共采集大型底栖生物135种, 其中多毛类66种, 甲壳动物33种, 棘皮动物14种, 软体动物13种, 其他类群9种。调查海域的大型底栖生物平均丰度为122.2ind/m₂,平均生物量为7.8g/ m₂。丰度、生物量和多样性指数在不同海区间的空间差异均不显著。大型底栖生物在20%的相似性水平上可以划分为8个群组,各站位间相似性水平较低。ABC曲线表明,伴随海岸带开发及人类活动的持续影响, 长江口邻近海域底栖生境的稳定性受到轻微扰动, 建议继续开展长期连续的监测, 为研究长江口海域环境变化和大型底栖生物群落演替提供基础资料。     

西太平洋暖池热盐结构盐度场变异的主模态

基于1950~2011年间的月平均温、盐度资料,以28℃等温线作为西太平洋暖池的定义标准,并取ΔT=-0.4℃,分别计算了暖池区(20°N~15°S,120°E~140°W)各格点混合层、障碍层和深层的平均盐度,构成了暖池热盐结构的盐度场.据此,运用EOF分解法分析了暖池热盐结构盐度距平场主要模态的变化特征及其与ENSO间的关系,并探讨了主要模态的年际变异机理.结果表明,暖池热盐结构盐度场第一模态揭示了盐度场变异的关键区位于暖池中部;该模态具有2~4a的年际变化和准10a的年代际变化,并在1977年前后经历了一次气候跃变(此外,深层盐度场第一模态还在1999年前后发生了一次气候跃变),且在跃变前后与不同类型的ENSO事件有较密切的联系.暖池中部混合层和障碍层盐度的变化比较一致,即在跃变前盐度为偏高期,而在跃变后则变为偏低期.暖池中部深层盐度在1977年以前和1999年之后皆处于偏高期,而在1978~1999年间则处于偏低期.而且,从混合层至深层,盐度的变化幅度逐渐变小.进一步分析表明,暖池中部混合层和障碍层盐度的年际变化主要是由纬向风、南赤道流(SEC)和降水共同引起的,即当东风增强(减弱)时,强(弱)SEC将携带更多(少)的高盐水进入混合层或潜沉至障碍层,同时局地降水的减少(增多),也使得混合层和障碍层的盐度增加(减少);深层盐度的年际变化主要是由SEC和赤道潜流(EUC)导致的,即当SEC增强(减弱)时,将有更多(少)的高盐水进入暖池,而当EUC增强(减弱)时则有更多(少)的低盐水流出暖池,从而使得暖池的深层盐度升高(降低).     

鄂尔多斯盆地南部地区延长组深水沉积构造特征及地质意义

鄂尔多斯盆地南部地区上三叠统延长组长7段发育有典型的重力流沉积。对野外露头剖面进行大量调查研究,发现研究区重力流沉积发育丰富的沉积构造,底层面构造、软沉积变形构造是主要的两种类型。这种深水沉积构造组合能够很好地揭示研究区广泛发育的一定坡度背景下深水重力流沉积体系。滑移-滑塌沉积、砂质碎屑流沉积、浊流沉积是研究区发育最为广泛的深水重力流沉积类型,滑移-滑塌及软沉积变形构造为触发机制沉积响应,底层面构造为砂质碎屑流沉积及浊流沉积响应。综合分析研究区地层发育的大量凝灰岩夹层、深水泥岩中发育的植物碎屑、深水砂岩中发育的大量浅黄色泥砾等沉积特征,认为地震、火山喷发及季节性洪水为研究区深水重力流沉积最有利的触发因素。     

页岩气基础地质调查皖南地1井钻探施工技术

皖南地1井是部署在安徽省南陵县烟墩镇的一口页岩气基础地质调查井。文章详细介绍了该井的钻探施工工艺技术以及遇到复杂问题的处理方法,并对钻效进行了分析,提出了实现优质高效钻探的措施。项目的顺利实施,梳理了皖南地区地层层序,为页岩气储层理论推测提供了有力的实物数据支撑和验证。     

基于斜坡破坏模式的软弱变质岩区岩质滑坡易发性评价

滑坡受控于地质环境条件和坡体地质结构,不同地质结构的斜坡失稳破坏的模式存在差异,本文以后龙门山千枚岩区为例,基于现场调查,梳理总结了区内岩质滑坡发生的力学模式与斜坡地质环境、坡体结构之间的关系,进而选取控制滑坡发生的关键因素,运用ARCGIS软件的加权叠加功能定量划分了不同模式滑坡的易发区域,主要取得以下认识：（1）滑移—拉裂式滑坡主要发生在坡度30-45°的顺向飘倾坡内、滑移—溃曲式滑坡发生在坡度30-45°的顺向伏倾坡内、倾倒变形主要发生在岩层倾角大于65°的反向斜坡内;（2）区内倾倒变形易发区面积为8.73km2、滑移拉裂易发区面积为4.31m2、滑移溃曲易发区面积为3.28km2,以倾倒变形类型的滑坡为主,已发生滑坡与易发分区结果比对证明了滑坡易发分区与实际情况基本吻合。     

围压和孔隙结构对不同粒级砂岩孔隙度渗透率的影响实验研究

孔隙度和渗透率是储层评价的两个重要参数.岩石毛管压力曲线和核磁共振T2谱图是描述储层微观结构特征的重要参数.通过测量不同压力条件下岩心样品的孔隙度和渗透率,得到了孔隙度和渗透率随压力的变化情况.实验结果表明：孔隙度和渗透率随着压力的增加而降低,并且与压力服从对数函数变化规律.不同孔隙度渗透率区间的砂岩样品,孔隙度和渗透率随着压力变化的趋势不同.通过测量不同粒级砂岩样品的毛管压力曲线和核磁共振T2谱图,证实了孔隙结构对孔隙度和渗透率的影响,微观孔隙结构是决定渗透性好坏的关键因素.     

Interstratified illite-smectite phases: formation mechanisms and practical applications

Secondary micas after smectite, including mix illite-smectite phases, can form in sediments by three mechanisms, each being specific to particular environments. As the process develops, the newly formed phases undergo structure ordering. Two mechanisms involve transformation of 2:1 mixed-layer structures, and the third is the growth of screw dislocations, with formation of ordered mix phases having a Reichweite parameter of R = 1 or R = 2. We propose methods for identifying such phases when they are present in small amounts or when their XRD patterns lack well-pronounced superperiodic reflections, as well as mathematical formalism for illitization modeling. The theoretical issues are illustrated with field examples, and the illitization mechanisms are discussed in terms of their possible practical applications.     

Neotectonics of the Kharaulakh sector of the Laptev Shelf

Seismotectonic deformation and crustal stress pattern have been studied comprehensively in major seismogenic structures of the Kharaulakh sector of the Verkhoyansk fold system and adjacent parts of the Chersky seismotectonic zone. The study focuses on neotectonic structures, deep structure, and systems of active faults, as well as tectonic stress fields inferred by tectonophysical analysis of Late Cenozoic faults and folds. The results, along with geological and geophysical data, reveal main strain directions and structural patterns of crustal stress and strain in the Arctic segment of the Eurasia-North America plate boundary. The area is a junction of mid-ocean and continental structures evolving in a mixed setting of extension, compression, and their various combinations. The rotation pole of the two plates is presumably located near Buor-Khaya Bay. In this case, extension is expected to act currently upon the neotectonic structures north of the bay and compression to control those in the south and southeast. This inference is consistent with the identified zoning of stress and strain in the Kharaulakh sector.     

Natural ring structures on the Baikal ice cover: Analysis of experimental data and mathematical modeling

Hydrophysical studies and mathematical modeling of ring structures during ice cover on Lake Baikal have shown that their existence at the stage of ice cover degradation is due to anticyclonic currents. Such currents can be generated as a result of local upwelling, which we associate with the rise of methane hydrates from the top layer of bottom sediments and their dissociation. Analysis of satellite images shows that the radii of ice rings range from 1300 to 2400 m, which is close to the baroclinic Rossby radius. The measured ice thicknesses in the area of the rings are in agreement with model calculations. Deep water renewal in Lake Baikal can also be associated with the rise of hydrates.     

Calibration of cyclic constitutive models by oscillating functions

Most structures are subjected to more cyclic loads during their life time than static loads. These cyclic action could be a result of either natural or man-made activities and may lead to soil failure. In order to understand the response of the foundation and its interaction with these complex cyclic loadings, various researchers have over the years developed different constitutive models. Although a lot of research is being carried out on these relatively new models, little or no details exist in literature about the model-based identification of the cyclic constitutive parameters which to a large extent govern the quality of the model output. This could be attributed to the difficulties and complexities of the inverse modeling of such complex phenomena. A variety of optimisation strategies are available for the solution of the sum of least-squares problems as usually done in the field of model calibration. However, for the back analysis (calibration) of the soil response to oscillatory load functions, this article gives insight into the model calibration challenges and also puts forward a method for the inverse modeling of cyclic loaded foundation response such that high-quality solutions are obtained with minimum computational effort.