福建李家坊金矿床磁铁矿成因及其对金矿化过程的指示

福建泰宁李家坊金矿床位于武夷山成矿带中段,为闽西北何宝山矿田内新发现的一个中型金矿床,成因类型尚未明确。磁铁矿是该矿床中常见的氧化物,文章应用磁铁矿微量元素特征对李家坊金矿床成矿过程与成因类型进行约束。基于野外地质踏勘和钻孔岩芯编录,结合室内详细的岩相学观察,依据磁铁矿的结构和矿物共生组合,文章将其分为4种类型（Mt1a、Mt1b、Mt2和Mt3）。其中,Mt1a位于铜金矿脉边缘,呈板柱状,与绿泥石共生; Mt1b位于铜金矿脉边缘,呈自形-半自形粒状,与绿泥石-赤铁矿共生; Mt2位于铜金矿脉中,呈脉状产出,穿插早阶段的石英-黄铁矿脉,与绿泥石-绿帘石共生; Mt3位于铜金矿脉中,呈半自形-他形粒状,与绿帘石-赤铁矿共生,被后阶段黄铜矿包裹、交代。金主要以自然金和银金矿的形式赋存于Mt3中。原位微区分析结果表明,李家坊金矿不同类型磁铁矿均属于热液型磁铁矿。此外,从Mt1a型到Mt3型磁铁矿,w（Ti）呈逐渐降低的趋势,指示热液流体逐渐向低温条件演化; w（V）表现出先降低后升高再降低的变化规律,暗示热液流体的氧逸度有明显波动,但总体呈升高趋势。磁铁矿的显微结构和化学组成具矽卡岩型矿化特征,是判断矿床成因类型的证据。其中,Mt3型磁铁矿与Au矿化密切相关,其矿物组合与微量元素特征可指示金在低温高氧逸度的环境下沉淀。     

基于分形理论的赫巴流体在多孔介质中的渗流模型

泥浆是一种用途广泛的工程浆液,在工程施工过程中会渗流进入地层,给工程带来一定的影响。为深入研究泥浆的渗流机理,把地层模拟为多孔介质,泥浆模拟为能更全面地反映其流变性能的赫巴流体,基于分形理论,建立赫巴流体在多孔介质中的渗流模型。基于渗流模型计算结果,详细分析压力梯度、流性指数、稠度系数及孔隙率等参数对多孔介质中赫巴流体瞬时平均流速的影响,指出流速变化与压力梯度、流性指数及稠度系数的变化均呈幂指数关系,与孔隙率变化呈二项式关系,且流性指数是一个影响赫巴流体渗流速度的极敏感因素。渗流模型计算结果为相关工程中泥浆方案的设计与施工奠定了一定的理论基础。     

压实黏土干燥裂隙及渗透性能研究

压实黏土干燥过程中产生的裂隙可能对渗透性能有较大影响。通过室内模拟试验研究发现,裂隙面积率、裂隙总长度和裂隙宽度随含水率减小而增大。压实黏土中裂隙可分为主裂隙和次裂隙2类,次裂隙出现前后裂隙参数的变化速率有较大差异。较宽裂隙在湿化后不能完全愈合,干湿循环过程使压实黏土产生了不可逆的变化。采用试验筒壁上涂阿尔代胶的方法可以有效模拟土样中裂隙的形成,并能较好地防止侧漏。渗透试验发现,一次干湿循环导致压实黏土的渗透系数增大将近2个数量级。湿化过程中干燥裂隙不能完全愈合及微裂隙的形成可能是导致渗透系数增大的主要原因。     

吉辽边界梅河口-开原地段晚海西-早印支期岩浆旋回及构造意义

本区已获晚海西-早印支期花岗岩类6件锆石高精度测年数据和两件继承锆石年龄,确定了其活动时限305~242 Ma,主体分属早中三叠世岩石序列、晚二叠世岩石序列、中二叠世岩石序列相应的岩石单元.小四平岩体的年龄及其被晚三叠世地层不整合覆盖,指明古亚洲洋构造域完成在242~228 Ma间.基于上述岩石年龄及形成构造环境和邻近地区磨拉石相发育的层位,揭示古吉黑造山带晚海西-早印支期构造运动或构造-岩浆旋回具有多幕式的递进演化模式,并受显生宙泛大陆旋回所制约.     

蒙城地震台地电阻率各向异性参量研究

地电阻率各向异性参量计算方法是由钱复业,赵玉林等研究出来的方法。我们试用该方法编制相应的计算机程序,对蒙城地震台1978～2008年地电阻率的数据进行处理;并结合震例进行对比分析,发现对于震中距300km内的中强震,与地电阻率各向异性参数的趋势性变化存在密切的关系;地电阻率各向异性参量特征可以反映孕震区地下介质的孕震信息,对未来地震的预测将起到一定作用。     

Long-term deforestation in NW Spain: linking the Holocene fire history to vegetation change and human activities

The Holocene fire regime is thought to have had a key role in deforestation and shrubland expansion in Galicia (NW Spain) but the contribution of past societies to vegetation burning remains poorly understood. This may be, in part, due to the fact that detailed fire records from areas in close proximity to archaeological sites are scarce. To fill this gap, we performed charcoal analysis in five colluvial soils from an archaeological area (Campo Lameiro) and compared the results to earlier studies from this area and palaeo-ecological literature from NW Spain. This analysis allowed for the reconstruction of the vegetation and fire dynamics in the area during the last ca 11 000 yrs. In the Early Holocene, Fabaceae and Betula sp. were dominant in the charcoal record. Quercus sp. started to replace these species around 10 000 cal BP, forming a deciduous forest that prevailed during the Holocene Thermal Maximum until ～5500 cal BP. Following that, several cycles of potentially fire-induced forest regression with subsequent incomplete recovery eventually led to the formation of an open landscape dominated by shrubs (Erica sp. and Fabaceae). Major episodes of forest regression were (1) ～5500–5000 cal BP, which marks the mid-Holocene cooling after the Holocene Thermal Maximum, but also the period during which agropastoral activities in NW Spain became widespread, and (2) ～2000–1500 cal BP, which corresponds roughly to the end of the Roman Warm Period and the transition from the Roman to the Germanic period. The low degree of chronological precision, which is inherent in fire history reconstructions from colluvial soils, made it impossible to distinguish climatic from human-induced fires. Nonetheless, the abundance of synanthropic pollen indicators (e.g. Plantago lanceolata and Urtica dioica) since at least ～6000 cal BP strongly suggests that humans used fire to generate and maintain pasture.     

Spatiotemporal estimation of snow depth using point data from snow stakes,digital terrain models,and satellite data

Snow availability in Alpine catchments plays an important role in water resources management. In this paper, we propose a method for an optimal estimation of snow depth (areal extension and thickness) in Alpine systems from point data and satellite observations by using significant explanatory variables deduced from a digital terrain model. It is intended to be a parsimonious approach that may complement physical‐based methodologies. Different techniques (multiple regression, multicriteria analysis, and kriging) are integrated to address the following issues: We identify the explanatory variables that could be helpful on the basis of a critical review of the scientific literature. We study the relationship between ground observations and explanatory variables using a systematic procedure for a complete multiple regression analysis. Multiple regression models are calibrated combining all suggested model structures and explanatory variables. We also propose an evaluation of the models (using indices to analyze the goodness of fit) and select the best approaches (models and variables) on the basis of multicriteria analysis. Estimation of the snow depth is performed with the selected regression models. The residual estimation is improved by applying kriging in cases with spatial correlation. The final estimate is obtained by combining regression and kriging results, and constraining the snow domain in accordance with satellite data. The method is illustrated using the case study of the Sierra Nevada mountain range (Southern Spain). A cross‐validation experiment has confirmed the efficiency of the proposed procedure. Finally, although it is not the scope of this work, the snow depth is used to asses a first estimation of snow water equivalent resources.     

Pre‐Alpine discordant granitic dikes in the metamorphic core of the Betic Cordillera: tectonic implications

Pegmatite dikes bearing andalusite crosscut foliation S₂ in Alpujarride gneisses and schists. Post‐S₂ andalusite is transposed by a foliation S₃, defined by fibrolite, which affects the dikes. The dikes represent highly differentiated granitic magmas with low REE and Zr contents and a positive Eu anomaly. U‐Pb SHRIMP dating of magmatic zircons provided Pan‐African ages (cores) and late Variscan ages (rims). However, U‐rich rims also provided metamorphic Alpine ages, supporting a polyorogenic tectonometamorphic history for pre‐Mesozoic Alpujarride rocks.     

Generalized plasticity state parameter‐based model for saturated and unsaturated soils. Part 1: Saturated state

The behavior of granular materials is known to depend on its loose or dense nature, which in turns depends both on density and confining pressure. Many models developed in the past require the use of different sets of constitutive parameters for the same material under different confining pressures. The purpose of this paper is to extend a basic generalized plasticity model for sands proposed by Pastor, Zienkiewicz and Chan by modifying the main ingredients of the model flow—rule, loading–unloading discriminating direction and plastic modulus—to include a dependency on the state parameter. The proposed model is tested against the available experimental data on three different sands, using for each of them a single set of material parameters, finding a reasonably good agreement between experiments and predictions. Copyright © 2010 John Wiley & Sons, Ltd.     

Three‐dimensional shakedown solutions for anisotropic cohesive‐frictional materials under moving surface loads

Previous work on three‐dimensional shakedown analysis of cohesive‐frictional materials under moving surface loads has been entirely for isotropic materials. As a result, the effects of anisotropy, both elastic and plastic, of soil and pavement materials are ignored. This paper will, for the first time, develop three‐dimensional shakedown solutions to allow for the variation of elastic and plastic material properties with direction. Melan's lower‐bound shakedown theorem is used to derive shakedown solutions. In particular, a generalised, anisotropic Mohr–Coulomb yield criterion and cross‐anisotropic elastic stress fields are utilised to develop anisotropic shakedown solutions. It is found that shakedown solutions for anisotropic materials are dominated by Young's modulus ratio for the cases of subsurface failure and by shear modulus ratio for the cases of surface failure. Plastic anisotropy is mainly controlled by material cohesion ratio, the rise of which increases the shakedown limit until a maximum value is reached. The anisotropic shakedown limit varies with frictional coefficient, and the peak value may not occur for the case of normal loading only. Copyright © 2013 John Wiley & Sons, Ltd.