Delaunay三角网关键技术探讨

利用计算机技术,基于实际测量数据,利用逐点插入法,在不建立格网索引的情况下,提出一种高效的Delaunay三角网构建方法,与建立格网索引法搜索点所在的三角形相比,具有较高的执行效率.     

曹妃甸填海工程阻断浅滩潮道初期老龙沟深槽的地形变化

通过研究1992、1997、2006年的测深资料,对比分析了横切老龙沟深槽口门处的地形横剖面和大致沿老龙沟深槽轴线的地形纵剖面,可知在此期间深槽内的水深有变浅和淤积的趋势。总体看来,老龙沟深槽的淤积厚度在0.61~4.8 m之间,并且老龙沟深槽轴线也有自东向西迁移的趋势。自2004年曹妃甸填海工程的通岛公路阻断浅滩潮道后,使老龙沟深槽内的潮流流量和流速减小,是引起老龙沟深槽内的水深变浅和淤积的主要原因。淤积可能主要发生在通岛公路阻断浅滩潮道后的初期即2004-2006年期间。该研究结果也证实了我们阻断浅滩潮道会引起老龙沟深槽淤积的推断。     

基于地脉动噪声的呼伦贝尔地区监测能力研究

基于地脉动噪声计算方法,以呼伦贝尔市地震台网8个台站连续波形资料为基础,对地震观测台网监测能力进行评估,同时开展台网优化和科学布局研究。通过累计的历史噪声数据,用来评估台站观测环境的变迁,及时掌握地震监测能力的变化。该成果将为地震速报、重点地震危险区震情跟踪、强震后现场应急提供科学参考。     

天山中段的深浅构造特征

天山起源于古生代的陆-陆碰撞作用,又经历了中新生代的典型陆内造山过程,其深浅构造结构和活动性一直是众多学者关注的热点。文中通过多种地球物理探测和综合地质构造分析, 以地学断面形式对其深浅构造进行填图,揭示了天山中段复杂的深浅构造特色。结果表明:沿古生代的陆-陆碰撞缝合带两侧分别呈现出主要构造地质单元由老到新的对称性,并伴有相应深部结构的复杂性,反映了碰撞过程及后期的构造演化特点;天山中部的上地幔顶部存在厚近 10km、宽近 200km、几乎涵盖整个天山的低速高导层,可能是中新生代以来天山的陆内再造山作用引起的壳幔拆沉作用形成的残留下地壳     

Structural damage detection using the optimal weights of the approximating artificial neural networks

This work presents a novel neural network‐based approach to detect structural damage. The proposed approach comprises two steps. The first step, system identification, involves using neural system identification networks (NSINs) to identify the undamaged and damaged states of a structural system. The partial derivatives of the outputs with respect to the inputs of the NSIN, which identifies the system in a certain undamaged or damaged state, have a negligible variation with different system errors. This loosely defined unique property enables these partial derivatives to quantitatively indicate system damage from the model parameters. The second step, structural damage detection, involves using the neural damage detection network (NDDN) to detect the location and extent of the structural damage. The input to the NDDN is taken as the aforementioned partial derivatives of NSIN, and the output of the NDDN identifies the damage level for each member in the structure. Moreover, SDOF and MDOF examples are presented to demonstrate the feasibility of using the proposed method for damage detection of linear structures. Copyright © 2001 John Wiley & Sons, Ltd.     

论海洋深度空间控制权——从海洋深度空间能源开发谈起

论文在提出海洋和“新海洋”广度、深度空间概念的基础上,进一步诠释了作为新的海洋权益的控制权,及其在未来政治、经济、外交、军事等领域的重要作用。由于海洋蕴藏着巨大的可再生能源,论文从能源开发利用的视角分析了开发利用海洋深度空间的重要战略意义,并对解决我国海洋争端,开发海洋新能源及综合践行海洋深度空间权战略提出了应对策略。     

Deep soil water dynamics in an undisturbed primary forest in central Amazonia: Differences between normal years and the 2005 drought

Understanding how Amazonian rainforests deal with extended droughts is critical in the face of changing climate. This research analyze the physical properties and the soil water dynamics of a deep soil profile in an area of primary forest in central Amazonia to elucidate these processes under drought and nondrought conditions. Physical soil properties derived from soil cores exhibited a distinctive layer between 480 and 880 cm deep, characterized by higher microporosity and low plant water availability. In situ soil moisture measurements collected during the period from January 2003 through February 2006 and for depths ranging from 10 to 1,430 cm suggest that, in the study site, the top 480 cm of the soil profile satisfied most of the transpirational demands in normal climatological years. However, during exceptionally dry periods, such as the 2005 drought, root uptake occurs below 480 cm. As concluded by previous studies, most of the uptake is concentrated in the first meter of the soil profile: More than 40% of the total demand for transpiration is supplied by the top meter of soil. Because deep root uptake occurred at greater depths than normal during the 2005 drought, our results suggest that this is a fundamental mechanism to cope with prolonged droughts.     

节理网络分形在隧道超前地质预报中的应用

分形几何是20世纪70年代以来发展起来的研究非线性现象的理论和方法,这一理论的诞生为揭示隐藏于混乱复杂现象的精细结构和定量地描述它们提供了理论基础。将分形的方法引入到隧道的超前地质预报,通过岩体结构面网络的分维值来预测岩体的质量。结合工程实例可以看出,岩体结构具有良好的分形特征,其分形描述可作为评价结构岩体质量的标准之一。分形方法是评价岩体性质的一个有效的方法,具有广泛的应用前景。     

塔中奥陶系碳酸盐岩流体包裹体特征及其对成岩作用和深部流体作用的指示意义

塔中地区奥陶系碳酸盐岩经历了多期构造运动,具有复杂的埋藏史和地热史,且受深部流体作用改造,成岩作用比较复杂。本文通过对塔中地区6El井奥陶系碳酸盐岩样品开展详细的显微镜岩矿鉴定、流体包裹体岩相学研究及包裹体均一温度和盐度的测定,结合塔中地区构造、地层埋藏史及热演化史等资料,对塔中地区奥陶系成岩作用及深部流体作用进行了探讨。塔中地区奥陶系包裹体大致可以分为4期：第1期包裹体形成于晚加里东一早海西期早成岩期的同生一准同生或表生暴露阶段,温度接近地表温度,包裹体均一温度〈60℃;第2期形成于晚海西期浅埋藏阶段,包裹体均一温度为90～105℃;第3期包裹体形成于波动埋藏一深埋藏阶段,包裹体均一温度变化范围较大,为120～186oC;第4期包裹体均一温度较高,多分布在192～235℃之间,这期高温流体包裹体的形成应该与岩浆．火山或深部热流体作用有关。另外,包裹体的盐度随均一温度升高而发生变化,这可能反映了塔中地区奥陶系在后期受深部热流体影响。     

General seismic wave and phase detection software driven by deep learning

We developed an automatic seismic wave and phase detection software based on PhaseNet, an efficient and highly generalized deep learning neural network for P- and S-wave phase picking. The software organically combines multiple modules including application terminal interface, docker container, data visualization, SSH protocol data transmission and other auxiliary modules. Characterized by a series of technologically powerful functions, the software is highly convenient for all users. To obtain the P- and S-wave picks, one only needs to prepare three-component seismic data as input and customize some parameters in the interface. In particular, the software can automatically identify complex waveforms (i.e. continuous or truncated waves) and support multiple types of input data such as SAC, MSEED, NumPy array, etc. A test on the dataset of the Wenchuan aftershocks shows the generalization ability and detection accuracy of the software. The software is expected to increase the efficiency and subjectivity in the manual processing of large amounts of seismic data, thereby providing convenience to regional network monitoring staffs and researchers in the study of Earth's interior.