Bathymetric segregation of sea urchins on reefs of the Canarian Archipelago: Role of flow-induced forces

We examined whether adults of three species of sea urchins species (Diadema antillarum, Arbacia lixula, and Paracentrotus lividus) exhibit a consistent depth-dependent partitioning pattern on rocky reefs of the Canarian Archipelago (eastern Atlantic). Hydrodynamic experiments were carried out to quantify the resistance to flow-induced dislodgement in these three species. We tested the model that different morphology can result in habitat partitioning among these sea urchins. Abundances of D. antillarum increased with depth. In contrast, A. lixula and P. lividus showed the opposite zonation pattern, coexisting in high abundances in the shallowest depths (<5 m), and occurring in low densities in the deepest part of reefs (>7 m). Both A. lixula and P. lividus had greater adhesion-surface to body-height ratios than D. antillarum. Similarly, A. lixula and P. lividus showed a greater ability to resist flow-induced dislodgement compared with D. antillarum. The mean “velocity of dislodgement” was 300% and 50% greater for A. lixula and P. lividus, respectively, relative to D. antillarum, for any particular size. As a result, A. lixula and P. lividus are better fitted to life in high-flow environments than D. antillarum. We conclude that the risk of dislodgement by water motion likely play a relevant role in the vertical distribution patterns of these sea urchins in the eastern Atlantic.     

Quantitative assessment of the spatial distribution of 239+240Pu inventory derived from global fallout in soils from Asia and Europe

Journal of Geographical Sciences - Due to the atmospheric nuclear weapon tests carried out, terrestrial environments have been extensively contaminated by global fallout of plutonium (Pu)...     

汶川5.12大地震地表次生灾害评价与分析

针对汶川5.12大地震,对由地震引起的地质次生灾害发生的坡度和坡向进行了统计,分析了地表破坏的易发坡度、坡向及其与震中的关系等。另外,分别以不同震中距为缓冲区、以平行中央断裂带的各级缓冲区、以等烈度区为缓冲区对地震引起的地表破坏的空间分布以及发生地表破坏的坡度在各级缓冲区中的变化进行了分析。结果表明:①地震引发的滑坡及滑坡群共5093个,总面积大约958km2;②在30°～44°坡度区间地表破坏发生的数量最大,42°坡度为地表破坏发生概率的拐点。主要的地表破坏发生在迎着地震波传播的坡向上;③随着震中距的增加,地表破坏的发生概率逐渐减小,震中距40km以内的速度减小非常迅速,40km以外则整体上缓慢减少,局部略有起伏。各缓冲区中发生地表破坏的平均坡度比缓冲区内的地形平均坡度大4°左右。④地震引发的地表破坏主要受到断裂带的控制,有64.17%的地表破坏发生在中央断裂带两侧10km范围内。⑤高地震烈度区域引发的地表破坏率远远大于低烈度区域,在烈度为Ⅺ度的区域内发生地表破坏率达到14.5%,而Ⅶ度烈度带上引发地表破坏率仅为0.01%。     

组合切削具产生的预破碎区对钻进效果的影响

从组合切削具将在岩石中产生预破碎区的论点出发,通过实验定量研究了预破碎区深度与掏槽刃切入深度的关系,得出了预破碎区有利于降低岩石强度及岩石破碎能耗的结论,并用生产试验结果进行了验证。提出了孕镶金刚石钻头钻进Ⅶ～Ⅷ级硬岩时仍存在预破碎区和切削、微切削破岩方式,以及预破碎区并非越大越好的学术观点。     

南华北盆地青白口系—侏罗系层序界面时空分布特征研究

以位于秦岭—大别造山带之北、华北陆块南部、地跨华北陆块稳定块体、陆块南部边缘变形带的南华北盆地为研究对象,通过对研究区42条不同时代的野外剖面详细观测,运用层序地层学理论,把南华北盆地作为一个整体系统,对青白口系—侏罗系层序界面特征及时空分布规律进行了系统分析,共识别出了8种类型层序界面的物质表现形式,分别是不整合面、渣状层、古喀斯特作用面、冲刷侵蚀面、超覆面、岩性岩相转换面、最大海泛面、最大湖泛面。并重点讨论了各类型界面的时空分布特征。结果表明：在时间演化上,从早到晚由海相—海陆过渡相—陆相,层序界面经历了海相沉积不整合、古喀斯特作用面、渣状层到陆相不整合面、冲刷侵蚀面等;在空间上,同一层序界面在不同相带表现形式不同,同一种类型的界面可在不同相带出现,但不同相带表现特征有一定差异性。     

土壤入渗特性的空间变异性及土壤转换函数

以在杨陵一级阶地上进行的入渗试验为基础,利用多重分形和联合多重分形方法,研究分析了土壤入渗特性在多尺度上的空间变异性及与土壤物理特性的相关性,并在此基础上建立了土壤入渗特性的土壤转换函数。研究表明:土壤入渗特性具有多重分形特征,观测尺度上,稳定入渗率、前30 min累积入渗量的空间变异都主要由粗粉粒和粘粒含量的空间变异造成。在多尺度上,稳定入渗率的空间变异受土壤容重、粗粉粒和粘粒含量的空间分布影响显著,前30 min累积入渗量的空间变异受粗粉粒和粘粒含量的空间分布影响显著,与观测尺度上的影响因素相同。基于联合多重分形分析建立的稳定入渗率的土壤转换函数的计算误差较小,前30 min累积入渗量的土壤转换函数的计算误差较大。     

河流生态系统结构功能整体性概念模型

在完善与整合现有河流生态系统结构功能概念及模型的基础上,提出河流生态系统结构功能整体性概念模型。水文情势、水力条件和地貌景观格局是对河流生态系统结构与功能具有关键影响的3大生境要素,结构功能模型的核心是建立以3大生境要素为构架的生命支持系统与河流生命系统之间的相互作用和相互制约关系,同时考虑由于人类活动引起生境要素变化对于河流生态系统的影响。河流生态系统结构功能整体性概念模型由以下4种模型组成:河流四维连续体模型、水文情势-河流生态过程耦合模型、水力条件-生物生活史特征适宜模型以及地貌景观空间异质性-生物群落多样性关联模型,这4种模型的一体化整合,基本概括了河流生态系统结构功能的整体特征。     

玲珑金矿田东山矿床矿体空间分带模型及应用

根据玲珑金矿田东山矿床地表及浅部勘查工程与采矿资料, 确定了成矿成晕元素种类。对成晕元素侧向分带特征和垂向分带规律的研究结果表明, 矿体上盘晕元素异常组合为Cu-As-Ag, 下盘晕元素异常组合为Cu-Te-As, 由此确定Au /As、Au /Pb、Au /Ag、Ag/Pb比值具有成矿判别意义, 即判别式Y₁ = 0.000 5 Au /As + 0.037 6 Au /Ag + 0.085 7 Au /Pb - 0.045 4 Ag/Pb > 0.009 2时指示含矿, 否则不含矿; 同时建立了基于Sb /As比值和Au、Ag、As、Sb 含量特征的见矿深度估计模型(H₁ = 1.104 9 + 79.63 k ( Sb /As) ×102 ) , 并对东山矿床主要矿体的可能成矿地段、见矿部位做出预测评价, 提出东山矿床9号、18号、47号、50号和52号支脉在175～ - 70 m标高范围内赋存金矿化或工业矿体。     

1961—2005年河西走廊东部极端气温事件变化

利用1961—2005年河西走廊东部五站的逐日气温资料,通过百分位法定义了不同台站的逐日极端高、低温阈值,研究了河西走廊东部近45a来极端气温事件变化的空间分布以及时间变化特征.结果表明:在空间分布上,河西走廊东部极端最高气温总阈值民勤出现了暖中心,乌鞘岭出现了冷中心;极端最低气温总阈值暖中心出现在武威,冷中心出现在乌鞘岭;极端最高、低气温空间分布与其对应阈值的空间分布类似;河西走廊东部极端低温频数南北部都呈现减少趋势,而极端高温频数在南部古浪和北部靠近沙漠区的民勤呈现减少趋势,其它地区为增加趋势.时间变化上,河西走廊东部极端最高、低气温总体都呈增温趋势,增温幅度极端最低气温比极端最高气温明显;极端最高气温频数总体呈略增加趋势,极端最低气温频数呈明显的减少趋势;极端最高、低气温和极端最高、低气温频数都是6～7a和9～10a周期反映明显;极端最高、低气温增温以及极端高温频数增加和极端低温频数减少都发生了突变现象.     

High-resolution simulation of upper-ocean submesoscale variability in the South China Sea: Spatial and seasonal dynamical regimes

Submesoscale processes in marginal seas usually have complex generating mechanisms, highly dependent on the local background flow and forcing. This numerical study investigates the spatial and seasonal differences of submesoscale activities in the upper ocean of the South China Sea (SCS) and the different dynamical regimes for sub-regions. The spatial and seasonal variations of vertical vorticity, horizontal convergence, lateral buoyancy gradient, and strain rate are analyzed to compare the submesoscale phenomenon within four sub-regions, the northern region near the Luzon Strait (R1), the middle ocean basin (R2), the western SCS (R3), and the southern SCS (R4). The results suggest that the SCS submesoscale processes are highly heterogeneous in space, with different seasonalities in each sub-region. The submesoscale activities in the northern sub-regions (R1, R2) are active in winter but weak in summer, while there appears an almost seasonal anti-phase in the western region (R3) compared to R1 and R2. Interestingly, no clear seasonality of submesoscale features is shown in the southern region (R4). Further analysis of Ertel potential vorticity reveals different generating mechanisms of submesoscale processes in different sub-regions. Correlation analyses also show the vertical extent of vertical velocity and the role of monsoon in generating submesoscale activities in the upper ocean of sub-regions. All these results suggest that the sub-regions have different regimes for submesoscale processes, e.g., Kuroshio intrusion (R1), monsoon modulation (R2), frontal effects (R3), topography wakes (R4).