典型天然粗粒盐渍土盐胀微观机制分析

为研究经多次冻融循环后天然粗粒盐渍土的盐胀特性及盐胀机制,对取自甘肃河西走廊地区嘉安一级公路沿线的某天然料场的粗粒盐渍土进行了室内基本工程性质试验和大尺寸多次冻融循环盐胀模型试验,并对经过多次冻融循环试验以后的天然盐渍土进行水盐迁移及扫描电镜分析。试验结果表明,粗粒盐渍土在降温阶段土体产生盐胀后亦会出现下陷,最终土体溶陷量大于盐胀量,冻融循环次数的增加会使粗粒盐渍土大颗粒骨架塌陷破坏及一维土柱体从上而下表现出热筛效应;多次冻融循环后的水分盐分在粗粒土柱剖面中的迁移呈现出不完全对应的分布关系。     

干湿循环作用下膨胀土裂隙演化规律试验研究

对南阳膨胀土在反复干湿循环作用下的裂隙演化规律进行了室内试验研究。试验中采用烘干法模拟脱湿过程,采用抽气饱和法模拟饱和过程。在脱湿过程中,定时对土样进行称重、定点拍照,以记录裂隙发育状况。利用矢量图技术对裂隙照片进行矢量化处理,以提取裂隙的各种几何要素,继而进行裂隙度计算。裂隙度变化规律分析结果表明,影响裂隙张开程度的关键因素并非土体含水率,而是含水率梯度,而脱湿速率的空间分布、土块渗透特性以及土块尺寸大小则是决定含水率梯度大小的关键因素;膨胀土裂隙在干湿循环的作用下会逐步发育,主要体现在裂隙总面积与总长度的增加,但此作用有限,裂隙的发育达到一定程度以后便会因为土块尺寸过小而停止;反复干湿循环会使土体产生范性变形,该范性变形与完整土块的胀缩特性并无直接联系,其主要成因是裂隙的发育与土体完整性的破坏,裂隙越发育,土体范性变形量越大     

松辽盆地松科1井上白垩统烃源岩有机碳含量与沉积速率的关系*

与海相盆地相比,陆相湖盆沉积物TOC和沉积速率关系的研究尚处于探索阶段,尤其是在沉积作用对TOC的控制机理研究方面还有待深入。首先运用旋回地层学方法,识别了松科1井南孔上白垩统天文周期,并利用滑动窗口频谱分析方法计算了各窗口的沉积速率及对应的TOC值。以姥鲛烷和植烷(Pr/Ph)比值作为氧化还原条件的指标,以介形虫壳体的δ¹³C作为古生产力大小的指标,对不同环境和不同古生产力条件下TOC和沉积速率的关系进行了探讨。研究表明: 在还原环境下,TOC主要取决于古生产力高低,而沉积速率的影响相对较小,当古生产力较高时,TOC值一般大于1%;反之,TOC值小于1%。但在氧化环境、低古生产力条件下,TOC随着沉积速率先增大后减小,其临界值为11,cm/ka。     

福建海坛岛青峰老红砂旋回沉积的粒度特征及其古环境意义

福建海坛岛青峰老红砂剖面以棕红色砂层和黄橙色砂层的交替旋回变化为显著特征。通过野外考察、采样和测定分析,对青峰老红砂剖面的粒度特征及其古气候意义进行深入研究。结果表明：（1）青峰剖面棕红色砂层以细砂为主,黄橙色砂层以中砂为主,细砂-中砂在剖面上呈现明显的交替旋回变化;（2）棕红色砂层和黄橙色砂层的粒度频率曲线均以单峰加一细尾为主,含有一定量的粉砂、黏土;概率累积曲线以滚-跳-悬三段式为主,但两种砂层在组分含量、斜率等方面存在差异;（3）粒度参数呈现明显的波动旋回变化,可能指示沉积时期区域风力、搬运动力、化学风化强度方面发生了周期性变化,即棕红色砂层显示了暖湿气候条件下的红壤化过程,黄橙色砂层则显示凉干气候条件下的黄壤化过程。因此,青峰老红砂旋回沉积表明第四纪晚期以来,福建东部沿海的古气候古土壤可能经历了南亚热带（赤红壤）和暖温带（黄壤）的交替变迁。     

Differential modulation of eastern oyster (<Emphasis Type="Italic">Crassostrea virginica</Emphasis>) disease parasites by the El-Niño-Southern Oscillation and the North Atlantic Oscillation

The eastern oyster (Crassostrea virginica) is affected by two protozoan parasites, Perkinsus marinus which causes Dermo disease and Haplosporidium nelsoni which causes MSX (Multinucleated Sphere Unknown) disease. Both diseases are largely controlled by water temperature and salinity and thus are potentially sensitive to climate variations resulting from the El Niño-Southern Oscillation (ENSO), which influences climate along the Gulf of Mexico coast, and the North Atlantic Oscillation (NAO), which influences climate along the Atlantic coast of the United States. In this study, a 10-year time series of temperature and salinity and P. marinus infection intensity for a site in Louisiana on the Gulf of Mexico coast and a 52-year time series of air temperature and freshwater inflow and oyster mortality from Delaware Bay on the Atlantic coast of the United States were analyzed to determine patterns in disease and disease-induced mortality in C. virginica populations that resulted from ENSO and NAO climate variations. Wavelet analysis was used to decompose the environmental, disease infection intensity and oyster mortality time series into a time–frequency space to determine the dominant modes of variability and the time variability of the modes. For the Louisiana site, salinity and Dermo disease infection intensity are correlated at a periodicity of 4 years, which corresponds to ENSO. The influence of ENSO on Dermo disease along the Gulf of Mexico is through its effect on salinity, with high salinity, which occurs during the La Niña phase of ENSO at this location, favoring parasite proliferation. For the Delaware Bay site, the primary correlation was between temperature and oyster mortality, with a periodicity of 8 years, which corresponds to the NAO. Warmer temperatures, which occur during the positive phase of the NAO, favor the parasites causing increased oyster mortality. Thus, disease prevalence and intensity in C. virginica populations along the Gulf of Mexico coast is primarily regulated by salinity, whereas temperature regulates the disease process along the United States east coast. These results show that the response of an organism to climate variability in a region is not indicative of the response that will occur over the entire range of a particular species. This has important implications for management of marine resources, especially those that are commercially harvested.     

The Disparate Neighborhood Impacts of the Great Recession: Evidence from Chicago

Abstract

We advance scholarship about how macroeconomic forces differentially manifest themselves across local spaces by developing a holistic conceptual framework and empirical analyses involving multilevel change modeling. Unlike prior work, we examine differential rates of change in neighborhood indicators. We illustrate our approach with Chicago data measuring the crime, housing, and economic domains of neighborhood quality of life over the 2000–2009 period. We find that the local dynamic manifestations of macroeconomic cycles were far more nuanced than have been previously observed. Neighborhood indicators moved along distinct trajectories, sometimes but not necessarily tracking each other or the overall business cycle, and they changed with varied intensities. The Great Recession of 2006–2009 had disparate negative impacts on lower-income and minority-occupied neighborhoods' local job opportunities, home prices, and home foreclosures, though this was not true for credit or crime indicators. Credit indicators performed geographically much differently than in the prior Chicago recession.     

Artificial neural networks and nonlinear regression techniques to assess the influence of slake durability cycles on the prediction of uniaxial compressive strength and modulus of elasticity for carbonate rocks

Understanding rock material characterizations and solving relevant problems are quite difficult tasks because of their complex behavior, which sometimes cannot be identified without intelligent, numerical, and analytical approaches. Because of that, some prediction techniques, like artificial neural networks (ANN) and nonlinear regression techniques, can be utilized to solve those problems. The purpose of this study is to examine the effects of the cycling integer of slake durability index test on intact rock behavior and estimate some rock properties, such as uniaxial compressive strength (UCS) and modulus of elasticity (E) from known rock index parameters using ANN and various regression techniques. Further, new performance index (PI) and degree of consistency (Cd) are introduced to examine the accuracy of generated models. For these purposes, intact rock dataset is established by performing rock tests including uniaxial compressive strength, modulus of elasticity, Schmidt hammer, effective porosity, dry unit weight, p‐wave velocity, and slake durability index tests on selected carbonate rocks. Afterward, the models are developed using ANN and nonlinear regression techniques. The concluding remark given is that four‐cycle slake durability index (I_d4) provides more accurate results to evaluate material characterization of carbonate rocks, and it is one of the reliable input variables to estimate UCS and E of carbonate rocks; introduced performance indices, both PI and Cd, may be accepted as good indicators to assess the accuracy of the complex models, and further, the ANN models have more prediction capability than the regression techniques to estimate relevant rock properties. Copyright © 2011 John Wiley & Sons, Ltd.     

中国大地构造区划及若干问题

在"新全球构造"思想的指导下,以板块构造学说为基础,以大陆动力学为线索,对中国区域地质构造和演化进行讨论并进行构造区划。由于板块构造随着时间的推移不断地发生变化,本文的构造区划以古生代时中国的板块构造格局为基础,同时考虑前古生代和后古生代时期中国的地壳构造演化,将中国划分为7个一级构造单元(板块)和30个二级构造单元,包括克拉通(或微陆块)和不同时期的造山带。在此基础上讨论了它们的边界和相互关系。     

Climatic Versus Tectonic Control on Storm Cyclicity in Mesoproterozoic Koldaha Shale, Vindhyan Supergroup, Central India

The 1.2 Ga-old Koldaha shale, central India reveals three orders of depositional cyclicities in its basal storm-dominated shelf succession. Visual appraisal as well as Fourier and MEM analyses concurs in this respect. Only the major storm events at intervals of a few thousands of years have left recognizable imprints. Interbedding of storm sandstones and fairweather shales is apparently climate-controlled. Packaging of about seven such climatic cycles results the second-order cyclicity befitting eccentricity cycles of contemporary scale. Nonetheless, for the erratic storm bed-thickness trends within the cycles some other factor/s might have played a role. The third order cycles are, more dominantly, correlatable with basinal tectonics.     

塔里木盆地二叠系划分对比与火山岩分布

根据全盆地钻井与露头剖面对比和地震剖面追踪解释,探讨了塔里木盆地覆盖区二叠系岩石地层的划分对比。二叠系自下而上由一个自然伽玛曲线加积段、三个自然伽玛曲线退积段组成,加积段为南闸组、退积段分别为库普库兹曼组、开派雷兹克组和沙井子组。南闸组是塔里木盆地最后一次海侵形成的滨浅海灰岩泥岩薄互层为主的沉积。库普库兹曼组和开派雷兹克组是两个基性火山岩-酸性火山岩的旋回或基性火山岩-砂泥岩的旋回。沙井子组是一个与区域构造运动有关的冲积扇、辫状河-曲流河沉积的异旋回。二叠系火山岩在和田河、塔中西部和顺托果勒地区厚度较大,库普库兹曼组火山岩一般0~60m,开派雷兹克组火山岩一般0~200m,局部可超过400m。与库普库兹满组火山岩相比,开派雷兹克组火山岩分布范围由塔西南朝塔东北方向有所迁移。中西部的库普库兹曼组火山岩可能喷发于水下。火山通道多沿着古隆起上的断背斜、断鼻构造分布。火山岩可形成油气藏遮挡,或本身形成储层,但火山活动改造或不同程度地破坏了早期已有油气藏。