Thresholds of intrabed flow and other interactions of turbidity currents with soft muddy substrates

Controlled laboratory experiments reveal that the lower part of turbidity currents has the ability to enter fluid mud substrates, if the bed shear stress is higher than the yield stress of the fluid mud and the density of the turbidity current is higher than the density of the substrate. Upon entering the substrate, the turbidity current either induces mixing between flow‐derived sediment and substrate sediment, or it forms a stable horizontal flow front inside the fluid mud. Such ‘intrabed’ flow is surrounded by plastically deformed mud; otherwise it resembles the front of a ‘bottom‐hugging’ turbidity current. The ‘suprabed’ portion of the turbidity current, i.e. the upper part of the flow that does not enter the substrate, is typically separated from the intrabed flow by a long horizontal layer of mud which originates from the mud that is swept over the top of the intrabed flow and then incorporated into the flow. The intrabed flow and the mixing mechanism are specific types of interaction between turbidity currents and muddy substrates that are part of a larger group of interactions, which also include bypass, deposition, erosion and soft sediment deformation. A classification scheme for these types of interactions is proposed, based on an excess bed shear stress parameter, which includes the difference in the bed shear stress imposed by the flow and the yield stress of the substrate and an excess density parameter, which relies on the density difference between the flow and the substrate. Based on this classification scheme, as well as on the sedimentological properties of the laboratory deposits, an existing facies model for intrabed turbidites is extended to the other types of interaction involving soft muddy substrates. The physical threshold of flow‐substrate mixing versus stable intrabed flow is defined using the gradient Richardson number, and this method is validated successfully with the laboratory data. The gradient Richardson number is also used to verify that stable intrabed flow is possible in natural turbidity currents, and to determine under which conditions intrabed flow is likely to be unstable. It appears that intrabed flow is likely only in natural turbidity currents with flow velocities well below ca 3·5 m s^?1, although a wider range of flows is capable of entering fluid muds. Below this threshold velocity, intrabed flow is stable only at high‐density gradients and low‐velocity gradients across the upper boundary of the turbidity current. Finally, the gradient Richardson number is used as a scaling parameter to set the flow velocity limits of a natural turbidity current that formed an inferred intrabed turbidite in the deep‐marine Aberystwyth Grits Group, West Wales, United Kingdom.     

大兴安岭北段争光金矿床成因探讨:来自流体包裹体及稳定同位素的制约

争光浅成低温热液型金矿床位于大兴安岭成矿带北段,是多宝山矿集区内的一个重要矿床。文章通过流体包裹体和C_H_O_He_Ar同位素的系统研究,对该矿床成矿流体和矿床成因进行了深入探讨。矿床成矿作用可划分为4个主要阶段:石英_黄铁矿阶段(成矿前阶段)、石英_多金属硫化物阶段(主成矿阶段)、方解石_(石英)_多金属硫化物阶段(主成矿阶段)和方解石阶段(成矿后阶段)。流体包裹体研究表明,争光金矿床主要发育富液相流体包裹体。石英_黄铁矿阶段、方解石_(石英)_多金属硫化物阶段和方解石阶段流体包裹体的均一温度分别介于116~243℃(集中于150~170℃)、129~294℃(集中于140~160℃)和130~155℃(集中于130~150℃);w(NaCleq)分别介于0.9%~10.1%、1.2%~13.8%和2.7%~8.7%。成矿流体具有低温、低盐度、相对还原的特征,属H_2O_Na Cl体系。石英_黄铁矿阶段成矿流体的δD和δ18O分别为-127‰~-110‰和-5.9‰~0.6‰,蚀变围岩的δD值和δ18O值分别为-118‰~-108‰和6.3‰~7.9‰。方解石_(石英)_多金属硫化物阶段和方解石阶段方解石的δ~(13)C分别为-5.3‰~-2.0‰和-2.9‰~-2.2‰,δ18O分别为7.7‰~9.3‰和9.9‰~13.5‰。黄铁矿流体包裹体的~3He/~4He、~(40)Ar/~(36)Ar和~(40)Ar*/4He比值分别为1.75~3.06 Ra、683~1295和0.30~0.63。综合流体包裹体特征和稳定同位素组成,认为成矿早阶段成矿流体为大气降水与围岩发生水_岩反应后的演化水。随着成矿作用的进行,成矿流体变为大气降水与岩浆水的混合水,但仍以大气降水为主导。成矿流体与贫H_2S的流体混合和硫化物沉淀的共同作用可能是该矿床金沉淀的主要机制。     

河南老湾金矿床上上河矿段矿床地质和成矿流体地球化学

河南桐柏老湾金矿床是桐柏-大别山(北坡)金银成矿带内大型造山带型金矿床之一。文章对该矿床的上上河矿段进行了矿床地质和成矿流体地球化学研究,旨在查明该矿段的流体成矿过程。根据矿脉穿插关系、矿石结构构造、矿物共生组合以及黄铁矿的粒度和晶形,将老湾金矿上上河矿段成矿过程划分为:石英粗粒自形黄铁矿(Ⅰ)、石英细粒半自形-他形黄铁矿(Ⅱ)、石英多金属硫化物(Ⅲ)及石英碳酸盐(Ⅳ)4个阶段。镜下观察显示,矿床中的包裹体类型有含CO_2包裹体(LH_2O+LCO_2+VCO_2)、纯CO_2包裹体(LCO_2+VCO_2)、液相包裹体(LH_2O+VH_2O)及少量含子晶包裹体(LH_2O+VH_2O+S)。第Ⅰ阶段、第Ⅱ阶段和第Ⅲ阶段均可见含CO_2包裹体、纯CO_2包裹体和液相包裹体,有时可见含CO_2包裹体与液相包裹体共存。流体包裹体显微测温结果表明,成矿流体可近似看做中温、低盐度、富CO_2的NaCl-H_2O-CO_2体系,纯CO_2包裹体和液相包裹体所代表的流体可能是由含CO_2包裹体所代表的Na Cl-H_2O-CO_2流体经不混溶形成的,三者在寄主矿物沉淀时,被同时捕获而共存。从第Ⅰ阶段到第Ⅳ阶段,成矿流体温度从303~379℃逐渐降低到138~195℃,盐度w(Na Cleq)从4.07%~9.59%逐渐降低到1.06%~2.74%。在成矿的第Ⅰ阶段成矿流体发生了不混溶作用,而在第Ⅱ阶段和第Ⅲ阶段流体中的CO_2起泡分离再次引发了不混溶作用。从第Ⅰ阶段到第Ⅲ阶段,成矿流体的δ18OH_2O从6.56‰~9.71‰经1.89‰~4.01‰变化到0.08‰,δDH_2O从-78.1‰~-64.2‰经-79.5‰~-76.3‰变化到-72.6‰,表明老湾金矿第Ⅰ阶段成矿流体主要为岩浆热液,第Ⅱ阶段成矿流体中有少量大气降水加入,第Ⅲ阶段成矿流体中大气降水的比例明显加大。     

松辽盆地大陆科钻二开段大井眼钻井液技术

CCSD-SK2井是一口钻穿松辽盆地白垩纪陆相沉积地层的中国大陆科学钻探井。二开段先以216mm口径钻至2806.20m,然后进行444.5mm口径扩孔。泥页岩地层大井眼钻进过程中粘土矿物含量高且易造浆,砂砾岩层渗透性强易粘卡,井壁稳定控制与钻屑携带难度大。选用了钾铵聚合物钻井液体系和聚磺钻井液体系,通过正交实验确定了钻井液配方。将钻井液控制在合适的密度、较低的失水量以及较强的封堵性,有效实现了井壁稳定;保持适当的环空返速、较高的动塑比以及定期打稠塞举砂等措施,有效实现了井眼净化。1086.45m~1147.56m与1182.74m~1256.01m井段累计收获岩心130.90m,取心率达到97.41%,平均机械钻速为0.84m/h;最终顺利钻至2806.20m。     

广西栗木钨锡铌钽矿区流体包裹体及氢氧同位素研究

本文通过对广西栗木矿区金竹源矿床和水溪庙矿床的流体包裹体研究,得出该矿区流体包裹体主要有两相H_2O-NaCl和H_2O-NaCl-CO_2两种类型。显微测温结果表明:两相H_2O-NaCl型流体包裹体均一温度主要集中于181.9~258.8℃,盐度w(Na Cleq)主要集中于4.01%~6.87%,密度0.690~0.988 g/cm3;H_2O-NaCl-CO_2型流体包裹体均一温度为178.5~331.1℃,主要集中在两个温度段,分别为高-中温段(265.3~315.5℃)和中-低温段(202.3~264.1℃),盐度w(NaCleq)主要集中在0.21%~5.05%,密度为0.678~0.886 g/cm3。栗木矿区成矿流体有两个温度集中段,且具有低盐度、低密度的特征。氢氧同位素研究结果表明:金竹源矿床钨锡铌钽矿化花岗岩石英δD值为-73.6‰~-62.8‰,δ~(18)OV-SMOW值为7.5‰~8.9‰,计算得δ~(18)OH2O值为6.00‰~7.40‰;水溪庙矿床钨锡铌钽矿化花岗岩石英δD值为-73.8‰~-58.3‰,δ~(18)OV-SMOW值为11.0‰~13.2‰,计算得δ~(18)OH2O值为9.50‰~11.70‰,水溪庙矿床含钨锡石英脉石英δD值为-75.3‰~-56.6‰,δ~(18)OV-SMOW值为11.8‰~14.1‰,计算得δ~(18)OH2O值为2.20‰~4.50‰。栗木矿区钨锡铌钽矿化花岗岩成矿流体来源于岩浆水,含钨锡石英脉成矿流体来源于岩浆水和大气降水的混合流体。     

西藏拿若铜(金)矿床隐爆角砾岩流体包裹体研究

隐爆角砾岩是西藏拿若矿床的重要组成部分,赋存厚大的铜矿体。笔者将隐爆角砾岩中流体分成两个主要期次,并对这两期流体开展包裹体研究。通过包裹体岩相学和显微测温认为:角砾中的石英(早期)包裹体形状均匀呈椭圆形,大小主要在2~5μm;胶结物中石英(晚期)包裹体形状可见椭圆状、长条状和近方形,大小主要在2~7μm。早期流体的包裹体可分为两个阶段,均一温度分别为早阶段280~368℃和晚阶段208~305℃,盐度分布为(4.65~12.73)%Na Cleq。晚期流体的包裹体同样可分为两个阶段,其均一温度分别为早阶段309~588℃和晚阶段232~335℃,盐度变化为(3.55~12.51)%Na Cleq,两个阶段的流体分别属于高温、中低盐度和中高温、中低盐度流体。L-V型包裹体激光拉曼分析显示:包裹体中气泡成分主要为气态H2O和少量CO2。拿若矿床至少经历两次隐爆作用,由晚期沸腾热液引起,并未成矿。成矿作用发生于隐爆角砾岩形成之后。     

Dynamic responses of atmospheric carbon dioxide concentration to global temperature changes between 1850 and 2010

Changes in Earth's temperature have significant impacts on the global carbon cycle that vary at different time scales, yet to quantify such impacts with a simple scheme is traditionally deemed difficult. Here, we show that, by incorporating a temperature sensitivity parameter(1.64 ppm yr~(-1) ?C~(-1)) into a simple linear carbon-cycle model, we can accurately characterize the dynamic responses of atmospheric carbon dioxide(CO_2) concentration to anthropogenic carbon emissions and global temperature changes between 1850 and 2010(r~2 0.96 and the root-mean-square error 1 ppm for the period from 1960onward). Analytical analysis also indicates that the multiplication of the parameter with the response time of the atmospheric carbon reservoir(～12 year) approximates the long-term temperature sensitivity of global atmospheric CO_2concentration(～15 ppm?C~(-1)), generally consistent with previous estimates based on reconstructed CO_2 and climate records over the Little Ice Age. Our results suggest that recent increases in global surface temperatures, which accelerate the release of carbon from the surface reservoirs into the atmosphere, have partially offset surface carbon uptakes enhanced by the elevated atmospheric CO_2 concentration and slowed the net rate of atmospheric CO_2 sequestration by global land and oceans by ～30%since the 1960 s. The linear modeling framework outlined in this paper thus provides a useful tool to diagnose the observed atmospheric CO_2 dynamics and monitor their future changes.     

GDP and employment effects of policies to close the 2020 emissions gap

Four policies might close the gap between the global GHG emissions expected for 2020 on the basis of current (2013) policies and the reduced emissions that will be needed if the long-term global temperature increase can be kept below the 2 °C internationally agreed limit. The four policies are (1) specific energy efficiency measures, (2) closure of the least-efficient coal-fired power plants, (3) minimizing methane emissions from upstream oil and gas production, and (4) accelerating the (partial) phase-out of subsidies to fossil-fuel consumption. In this article we test the hypothesis of the International Energy Agency (IEA) that these policies will not result in a loss of gross domestic product (GDP) and we estimate their employment effects using the E3MG global macro-econometric model. Using a set of scenarios we assess each policy individually and then consider the outcomes if all four policies were implemented simultaneously. We find that the policies are insufficient to close the emissions gap, with an overall emission reduction that is 30% less than that found by the IEA. World GDP is 0.5% higher in 2020, with about 6 million net jobs created by 2020 and unemployment reduced.

Policy relevance

The gap between GHG emissions expected under the Copenhagen and Cancun Agreements and that needed for emissions trajectories to have a reasonable chance of reaching the 2 °C target requires additional policies if it is to be closed. This article uses a global simulation model E3MG to analyse a set of policies proposed by the IEA to close the gap and assesses their macroeconomic effects as well as their feasibility in closing the gap. It complements the IEA assessment by estimating the GDP and employment implications separately by the different policies year by year to 2020, by major industries, and by 21 world regions.     

鄂尔多斯盆地纳岭沟铀矿床绿泥石特征及地质意义

纳岭沟铀矿床位于鄂尔多斯盆地北部,具有明显的后期热液作用的特征,矿体空间展布主要受控于绿色-灰色砂岩的过渡界面,与绿泥石化的蚀变砂岩关系密切。通过对纳岭沟铀矿床不同颜色砂岩中的绿泥石进行详细的岩相学研究和电子探针化学成分分析,依据绿泥石的成因与共生矿物的关系,识别出绿泥石主要的3种类型:填隙物型绿泥石,片状与黄铁矿共生型绿泥石以及黑云母蚀变型绿泥石;同时通过绿泥石的Fe-Si图解确定了纳岭沟铀矿床不同颜色砂岩中的绿泥石主要为铁镁绿泥石和密绿泥石。根据Al/(Fe+Mg+Al)-Mg/(Fe+Mg)的关系图解确定出不同颜色砂岩中的绿泥石具有铁镁质流体和泥质两种来源,通过绿泥石中主要阳离子与镁的关系图解和计算得出的绿泥石形成温度共同确定出绿泥石是多期次的中低温热液流体作用的产物。综合研究表明,纳岭沟铀矿床的绿泥石形成至少经历了温度稍高的还原性流体和温度稍低的氧化性流体等两个期次的流体作用,稍高温的还原性流体与成矿关系更为重要。与绿泥石形成有关的热液流体作用不仅带入了部分铀,还促进了铀的活化和运移。     

Testing the discrimination and detection limits of WorldView-2 imagery on a challenging invasive plant target

Invasive plants pose significant threats to biodiversity and ecosystem function globally, leading to costly monitoring and management effort. While remote sensing promises cost-effective, robust and repeatable monitoring tools to support intervention, it has been largely restricted to airborne platforms that have higher spatial and spectral resolutions, but which lack the coverage and versatility of satellite-based platforms. This study tests the ability of the WorldView-2 (WV2) eight-band satellite sensor for detecting the invasive shrub mesquite (Prosopis spp.) in the north-west Pilbara region of Australia. Detectability was challenged by the target taxa being largely defoliated by a leaf-tying biological control agent (Gelechiidae: Evippe sp. #1) and the presence of other shrubs and trees. Variable importance in the projection (VIP) scores identified bands offering greatest capacity for discrimination were those covering the near-infrared, red, and red-edge wavelengths. Wavelengths between 400 nm and 630 nm (coastal blue, blue, green, yellow) were not useful for species level discrimination in this case. Classification accuracy was tested on three band sets (simulated standard multispectral, all bands, and bands with VIP scores ≥1). Overall accuracies were comparable amongst all band-sets (Kappa = 0.71–0.77). However, mesquite omission rates were unacceptably high (21.3%) when using all eight bands relative to the simulated standard multispectral band-set (9.5%) and the band-set informed by VIP scores (11.9%). An incremental cover evaluation on the latter identified most omissions to be for objects <16 m². Mesquite omissions reduced to 2.6% and overall accuracy significantly improved (Kappa = 0.88) when these objects were left out of the confusion matrix calculations. Very high mapping accuracy of objects >16 m² allows application for mapping mesquite shrubs and coalesced stands, the former not previously possible, even with 3 m resolution hyperspectral imagery. WV2 imagery offers excellent portability potential for detecting other species where spectral/spatial resolution or coverage has been an impediment. New generation satellite sensors are removing barriers previously preventing widespread adoption of remote sensing technologies in natural resource management.