Deciphering the depositional environment of the laminated Crato fossil beds (Early Cretaceous,Araripe Basin,North‐eastern Brazil)

The laminated limestones of the Early Cretaceous Crato Formation of the Araripe Basin (North‐eastern Brazil) are world‐famous for their exceptionally well‐preserved and taxonomically diverse fossil fauna and flora. Whereas the fossil biota has received considerable attention, only a few studies have focused on the sedimentary characteristics and palaeoenvironmental conditions which prevailed during formation of the Crato Fossil Lagerstätte. The Nova Olinda Member represents the lowermost and thickest unit (up to 10 m) of the Crato Formation and is characterized by a pronounced rhythmically bedded, pale to dark lamination. To obtain information on palaeoenvironmental conditions, sample slabs derived from three local stratigraphic sections within the Araripe Basin were studied using high‐resolution multiproxy techniques including detailed logging, petrography, μ‐XRF scanning and stable isotope geochemistry. Integration of lithological and petrographic evidence indicates that the bulk of the Nova Olinda limestone formed via authigenic precipitation of calcite from within the upper water column, most probably induced and/or mediated by phytoplankton and picoplankton activity. A significant contribution from a benthonic, carbonate‐secreting microbial mat community is not supported by these results. Deposition took place under anoxic and, at least during certain episodes, hypersaline bottom water conditions, as evidenced by the virtually undisturbed lamination pattern, the absence of a benthonic fauna and by the occurrence of halite pseudomorphs. Input of allochthonous, catchment‐derived siliciclastics to the basin during times of laminite formation was strongly reduced. The δ¹⁸O values of authigenic carbonate precipitates (between ?7·1 and ?5·1‰) point to a ¹⁸O‐poor meteoric water source and support a continental freshwater setting for the Nova Olinda Member. The δ¹³C values, which are comparatively rich in ¹³C (between ?0·1 and +1·9‰), are interpreted to reflect reduced throughflow of water in a restricted basin, promoting equilibration with atmospheric CO₂, probably in concert with stagnant conditions and low input of soil‐derived carbon. Integration of lithological and isotopic evidence indicates a shift from closed to semi‐closed conditions towards a more open lake system during the onset of laminite deposition in the Crato Formation.     

新疆罗布泊含钾地层矿物扫描电镜研究

运用扫描电子显微镜对采自ZK1200B钻孔1.12～53.00 m处岩芯的部分样品进行了分析研究。据此,较精确地划分出了4层含钾岩层,发现有钾石盐、光卤石、杂卤石、泻利盐、硫锶钾石、天青石等固体盐类矿物,其中的硫锶钾石和天青石矿物在新疆罗布泊地区属首次发现。钙芒硝岩层中含有硫锶钾石、天青石,推断其锶可能来源于深部地层水（或油田水）的补给,对罗布泊地区钾盐矿的成因研究具有重要意义。     

HY-2B扫描微波辐射计海温产品在典型区域的精度验证和分析

“海洋二号B”卫星（HY-2B）于2018年10月25日发射,是我国第二颗海洋动力环境探测卫星,其上搭载有包括扫描微波辐射计（SMR）在内的多个载荷,海表面温度（SST）是SMR的主要产品之一。本文分别利用NOAA提供的iQuam实测海温数据、CORIOLIS卫星WINDSAT反演的海温遥感产品、NCEP模式海温数据,在两个典型区域,对2020年1月1日至2020年12月31日期间的HY-2B/SMR海温产品进行了验证,其中HY-2B/SMR与iQuam实测海温的Bias为0.004℃,RMSE为0.65℃左右,CORR高于0.95。通过进一步分析,由区域A的分析结果揭示出HY-2B/SMR海温产品精度随纬度变化的规律及其原因,同时,由区域B的分析结果揭示出陆地、岛礁以及RFI对海温总体反演精度的影响约为0.1℃。     

一类信号恢复问题的投影迭代硬阈值算法

本文给出了基于L₀模求解该问题的非凸模型,借助于稀疏正则化方法来克服问题的不适定性。该模型利用紧小波框架对信号进行稀疏逼近,并利用L₀模度量稀疏性。提出了求解该模型的投影迭代硬阈值算法,并证明了算法的全局收敛性。该算法每一步都有闭式解,计算过程简洁高效。数值实验表明,方法在重建信号的视觉质量和量化指标方面均优于所对比的pFISTA方法。     

哈拉湖岩芯XRF扫描元素统计分析及其环境意义

青藏高原东北缘高山湖泊哈拉湖是位于季风与西风影响的交汇带的封闭深水湖泊,是区域环境和气候变化的良好记录载体。目前对该湖的研究还较少,缺乏对沉积物中元素环境意义的系统认识。通过高分辨率XRF岩芯扫描,用相关、聚类和因子分析的方法对哈拉湖沉积岩芯地球化学元素进行分析。结果显示Ti、K、Si、Al、Fe、Mn等元素变化一致,相关性高,归为同一类,即径流输入的陆源碎屑组分,反映了流域水文状况如径流量的变化。Sr、Zr元素相关性高,为赋存在粗颗粒沉积物中的元素,根据哈拉湖实际,应为冬季湖泊冰面风力搬运,反映了湖区冬季风力强度的变化。Ca元素既与径流输入元素总体变化一致,也与Sr、Zr元素显著相关,且在第一和第二主成分(径流和风力)上的载荷相当,表明哈拉湖沉积物中的碳酸盐既有粗颗粒的外源碎屑,也有湖泊自生的组分,这在利用碳酸盐进行地球化学研究时应重视,注意去除外源碎屑碳酸盐的影响。可溶元素S和Cl可能反映了入湖水量与蒸发对比情况,与湖泊盐度有关。     

利用HY-2微波辐射计数据反演北极区域海冰密集度方法研究

HY-2是中国自主研发的海洋卫星。 本文研究了利用HY-2卫星扫描微波辐射计亮温数据反演北极海冰密集度的方法。参考NASA TEAM方法,我们对典型海区光谱梯度率和极化梯度率进行了统计分析,确定了计算海冰密集度所需的亮温特征值;利用天气滤波器有效去除了开阔海域由于大气中水蒸气、云中液态水、降雨等现象引起的海冰密集度计算错误。本文计算了2012年全年的北极海冰密集度产品并对产品精度进行了初步验证,验证结果表明：三个海冰类型已知区域的海冰密集度结果与理想值比较接近,多年冰密集度的反演精度需要进一步提高;本文结果与美国冰雪数据中心和德国不来梅大学提供的两种业务化海冰密集度产品一致。本研究为利用HY-2卫星监测极区海冰密集度变化,发布实时产品奠定了基础。     

Cycle graph analysis for 3D roof structure modelling: Concepts and performance

The paper presents a cycle graph analysis approach to the automatic reconstruction of 3D roof models from airborne laser scanner data. The nature of convergences of topological relations of plane adjacencies, allowing for the reconstruction of roof corner geometries with preserved topology, can be derived from cycles in roof topology graphs. The topology between roof adjacencies is defined in terms of ridge-lines and step-edges. In the proposed method, the input point cloud is first segmented and roof topology is derived while extracting roof planes from identified non-terrain segments. Orientation and placement regularities are applied on weakly defined edges using a piecewise regularization approach prior to the reconstruction, which assists in preserving symmetries in building geometry. Roof corners are geometrically modelled using the shortest closed cycles and the outermost cycle derived from roof topology graph in which external target graphs are no longer required. Based on test results, we show that the proposed approach can handle complexities with nearly 90% of the detected roof faces reconstructed correctly. The approach allows complex height jumps and various types of building roofs to be firmly reconstructed without prior knowledge of primitive building types.     

基于GPU和UNITY的嵌入式图像实时传输方法

智能化无人矿山对作业现场环境的可视化要求较高,现有的可视化方法仍存在诸多问题:数据采集方式单一,存在监控盲区;数据传输线缆布设困难且易被损坏,传输延时较高;表现形式不够全面立体,并且不能用于VR/AR、SLAM、机器人定位避障等应用场景。为了满足智能矿山建设的可视化需求,本文结合当前传感技术、矿用机器人以及5G技术的发展,探讨了从数据采集、服务器部署到接收显示的详细步骤。针对全景及深度影像这类新型三维数据,提出一种基于GPU和UNITY的嵌入式视频实时传输方法,包括实时编码、异步传输、轻量级的嵌入式流媒体系统、利用UNITY实时处理以及元数据的同步传输。借助UNITY平台,将三维可视化任务从CPU转移至GPU,仿真实验表明,最高渲染帧率为60 fps时,GPU占用率在35%以下。最后,以全景和深度传感器为例进行了测试,对数据编码、位移贴图、纹理纠正进行有效性验证,并从延迟、帧率、CPU占用率3个方面评估性能。结果表明,所提关键技术均可有效提高运行效率、减少资源占用,相比FFplay延时更低。全景影像的可视化代替了视角固定的传统监控,深度数据为智能矿山巡检机器人定位及避障提供实时数据源,传输方法整体向下兼容。不仅解决传统方法视角单一、布线困难的问题,而且考虑到了智能矿山建设过程中的新需求。     

相干能量梯度与属性比例融合在断裂构造解释中的应用

相干能量梯度体现了相干数据的振幅变化,它比较有利于突出一些细小的地质特征变化,其属性比例融合是将两个数据体按照一定比例融合在一起生成新的数据体,而新数据体能更好的反映地质特征。实例表明,与相干属性相比,相干能量梯度属性对一些细小构造更敏感,而且可以根据不同方向、时间的切片对不同走向的断层进行追踪;与常规地震时间剖面相比,属性比例融合后的属性剖面,可以在剖面中显示两种属性体的断裂构造特性,减少单一属性体的不确定性。