多宝山超大型铜矿床的成矿构造环境

多宝山超大型铜矿床是我国典型的斑岩型矿床，主要产出于多宝山组岛弧建造和花岗闪长岩、花岗闪长斑岩中，成矿年龄为292～283Ma。根据地球物理异常及大量的基性和超基性岩体，以及通过对比两侧的岩石圈结构、古生物、结晶基底、成矿特征和地球化学特征，认为黑河一嫩江是一条重要的构造边界带，它是兴安和松嫩地块在早石炭世拼合、碰撞、造山隆起形成的。多宝山超大型铜矿床就是形成于两板块碰撞后隆起抬升构造环境的斑岩型铜矿床。     

基于灰色理论的真空堆载预压分层沉降预测

对真空堆载预压加固处理的软土地基,用灰色理论模型预测地基的分层沉降,结果表明：对于土层分布均匀的地基,verhulst模型能较准确地预测分层沉降,误差在10％以内。对于土层分布不均匀的地基,verhulst模型预测误差较大,进行残差修正,修正的verhulst模型能较准确地预测分层沉降。用不同点数预测地基的分层沉降,同实测沉降数据对比发现、对于土层均匀或不均匀的软土地基,在已知真空影响范围外土层的沉降时,灰色模型就能较准确地预测分层沉降。     

西太平洋——我国深海科学研究的优先战略选区

西太平洋是我国实施由浅海向深海发展战略的必经之地.从国家需求的角度来看,西太平洋海底资源丰富、海洋环境复杂,是维护国家权益的焦点、保障国防安全的屏障;从科学前沿的角度来看,西太平洋发育有独特的沟弧盆构造体系和弧后盆地热液系统,存有海底板块运动的遗迹和众多海山生态系统,更是"大洋传送带"冷暖水系的转换区.科学有序地进入西...     

辽西医巫闾山变质核杂岩的形成过程与晚侏罗世伸展事件

根据野外详细调查,本文系统分析了医巫闾山地区的伸展构造,认为区内瓦子峪伸展韧性剪切带发育之前就出现了变质核杂岩.该核杂岩具有典型的三层结构,其拆离韧性剪切带出现在变质基底内,但西侧被晚期早白垩世瓦子峪韧性剪切带切割,呈不完整的长环形带状展布.露头构造、显微构造及石英C组构皆指示核杂岩的下盘、拆离韧性剪切带及上盘底部具有...     

最可靠的非开挖地下岩体结构勘察方法——高精度超声波钻孔成像

主要通过超声成像测井在长江某穿越工程区勘察工程中的应用研究,类比常规勘察技术和其他钻孔成像技术,并结合超声测井在国内其他方面的案例,剖析新一代超声测井仪的优势所在：如在基岩风化带的描述、岩石质量指标RQD分析,特别是地下岩体裂隙、节理等地质结构信息的精确揭露上,具备其他勘察手段无法比拟的优势,可以提供大量有效可视的钻孔岩体定量数据,为工程设计的定量化分析提供了详细的数据资料。可以说在揭露地下岩体结构方面,高精度超声测井是目前为止最为有效可靠的手段。     

Application of the Load/Unload Response Ratio Theory to Predictions of Moderate Earthquakes (7.0>M≥6.0)

The variation in load/unload response ratio before some moderate earthquakes is analyzed based on the theory of the load/unload response ratio.The results show that the load-unload response ratio increases noticeably before moderate earthquakes,and there are three kinds of patterns in which the load/unload response ratio varies and the duration of noticeable increase in load/unload response ratio ranges from half a year to two years.     

Vertical variations of dissolved carbohydrates in the North Yap Trench

Journal of Oceanology and Limnology - The concentrations of dissolved monosaccharides (MCHO), polysaccharides (PCHO), and total carbohydrates (TCHO) in the seawater samples collected from the north...     

A simplified GNSS tropospheric delay model based on the nonlinear hypothesis

GPS Solutions - We have derived a global zenith tropospheric delay simplified model (GZTDS), assuming that the troposphere is a nonlinear system and can be handled as a black box. The GZTDS and its...     

Optimization of simulation and visualization analysis of dam-failure flood disaster for diverse computing systems

Simulation and subsequent visualization in a network environment are important to glean insights into spatiotemporal processes. As computing systems become increasingly diverse in hardware architectures, operating systems, screen sizes, human–computer interactions and network capabilities, effective simulation and visualization must become adaptive to a wide range of diverse devices. This paper focuses on the optimization of simulation and visualization analysis of the dam-failure flood spatiotemporal process for diverse computing systems. First, an adaptive browser/server architecture of the dam-failure simulation application was designed to fill the hardware performance and visualization context gap that exists within diverse computing systems. Second, a data flow and an optimization method for multilevel time-series flood data were given to provide more support to network simulation, visualization and analysis on diversified terminals. Finally, a user interaction friendly and plugin-free prototype system was developed. The experiment results demonstrate that the methods addressed in this paper can cope with the challenge in simulation, visualization and interaction of a dam-failure simulation application on diversified terminals.     

Simultaneously simulate vertical and horizontal expansions of a future urban landscape: a case study in Wuhan,Central China

While there are extensive studies of urban 2D forms, research on the varying geometric features and spatial distribution patterns of urban 3D spaces is comparatively rare. In this paper, we propose a coupled model, known as BPANN-CBRSortCA, which is based on a back propagation artificial neural network (BPANN) and case-based reasoning technology with sort cellular automaton (CBRSortCA) to simulate future urban building heights and their spatial distribution. BPANN–CBRSortCA uses BPANN to predict the vertical extrusion of building heights and uses CBRSortCA to simulate horizontal urban expansion. The BPANN–CBRSortCA model is innovative because of its capabilities to simultaneously project urban growth in the vertical and horizontal dimensions. The proposed model also overcomes the limitations of the traditional cellular automata models that cannot simulate ‘diffused’ urban expansion. This research used Wuhan City as a case study to simulate vertical and horizontal urban expansion from 2015 to 2025. The results showed the following: (1) in the next 10 years, new build-up will mainly appear along the edge of Hongshan and Hanyang Districts or will occupy bare land in the form of ‘filling’ and (2) the tallest buildings will be mainly located to the south of East Lake in Hongshan District and on undeveloped land within the city. These simulation results can provide a reference for future urban planning.