GIS在农业生态地质调查中的应用

GIS凭借其所具有的科学可视化功能,区域性、多层次、易操作等特点,能够将各种空间、 数字数据分类存储并进行分析,以上优点使GIS能够在农业地质调查项目中起到存储信息、分析态 势、辅助决策等重要作用,并能够在此基础上建立数据库辅助管理决策系统,在农业生态地质调查 中发挥了巨大作用。     

Effects of rock fragment cover on hydrological processes under rainfall simulation in a semi‐arid region of China

Rock fragment cover has long been an important agricultural crop production technique on the Loess Plateau, China. Although this approach plays an important role in controlling hydrological processes and preventing soil erosion, inconsistent results have been recovered in this field. In this study, we investigated the effects of rock fragment cover on infiltration, run‐off, soil erosion, and hydraulic parameters using rainfall simulation in the field in a semi‐arid region of China. Two field plots encompassing 6 rock fragment coverages (0%, 10%, 20%, 25%, 30%, and 40%), as well as 2 rock fragment positions and sizes were exposed to rainfall at a particular intensity (60 mm h^?1). The results of this study showed that increasing the rock fragment coverage with rock fragments resting on the soil surface increased infiltration but decreased run‐off generation and sediment yield. A contrasting result was found, however, when rock fragments were partially embedded into the soil surface; in this case, a positive relationship between rock fragment coverage and run‐off rate as well as a nonmonotonic relationship with respect to soil loss rate was recovered. The size of rock fragments also exerted a positive effect on run‐off generation and sediment yield but had a negative effect on infiltration. At the same time, both mean flow velocity and Froude number decreased with increasing rock fragment coverage regardless of rock fragment position and size, whereas both Manning roughness and Darcy–Weisbach friction factor were positively correlated. Results show that stream power is the most sensitive hydraulic parameter affecting soil loss. Combined with variance analysis, we concluded that the order of significance of rock fragment cover variables was position followed by coverage and then size. We also quantitatively incorporated the effects of rock fragment cover on soil loss via the C and K factors in the Revised Universal Soil Loss Equation. Overall, this study will enable the development of more accurate modelling approaches and lead to a better understanding of hydrological processes under rock fragment cover conditions.     

基于ArcGIS的三维场景自动化精细建模

主要研究将ArcGIS强大的图形、属性数据组织和管理能力与CityEngine基于CGA规则的建模思想相结合,进行大面积三维场景的自动化精细建模,高效实现三维可视化.不但能够实现GIS数据中各种属性的快速、自动建模,还能实时修改规则,调整模型显示,降低了三维GIS建模的成本,缩短了三维建模的周期,同时也扩展了参数化精细建模的应用领域.     

褶皱冲断带物理模拟实验研究进展

褶皱冲断带油气资源丰富,统计表明全球探明油气储量约14%分布在褶皱冲断带。自从1815年地质学家第一次以模拟实验的方式验证了褶皱形成于岩层遭受水平挤压变形的二百多年来,针对褶皱冲断带的物理模拟实验研究无疑是最卓有成效的研究领域方向之一。本文从追溯早期模拟实验先驱,到近二十年来国内外相关研究进展综述,着重分析和评述物理模拟实验研究对于前陆褶皱冲断带构造理论发展的主要贡献。强调造山带临界楔体理论以及基底滑脱层强度、流体超压和变形岩层内聚强度等对构造变形过程的控制作用。主要介绍的实验性标志成果有：(1)褶皱冲断带构造变形的生长规律;(2)褶皱冲断带的构造变形机制;(3)褶皱冲断带中构造变形的主控因素。我们的目的是提供引人入胜的物理模拟实验研究成果,吸引更多现在和未来的研究人员理解和重视物理模拟工作,借助日益进步的实验装置和技术方法,促进盆地构造研究在学科发展道路上,一步步实现从定性走向定量、从二维走向三维、从几何学和运动学走向动力学的飞跃。     

Fluid evolution of the Chalukou giant Mo deposit in the northern Great Xing'an Range,NE China

The Chalukou giant Mo deposit in the Heilongjiang Province, northeastern China, is a porphyry deposit hosted in an intermediate‐felsic complex surrounded by Mesozoic volcano–sedimentary rocks. The mineralization process is composed of four stages, including quartz + K‐feldspar (Stage I), quartz + molybdenite (Stage II), pyrite + chalcopyrite + quartz ± other sulphides (Stage III) and carbonate ± fluorite ± quartz (Stage IV). The mineralization is generally associated with intense K‐feldspar‐, fluorite‐, phyllic‐ and propylitic alteration. Primary fluid inclusions (FIs) in quartz include four compositional types, i.e. pure carbonic (PC‐type), aqueous‐carbonic (C‐type), daughter mineral‐bearing (S‐type) and aqueous (W‐type) inclusions. Halite, sylvite and hematite are recognized as the daughter minerals in Stage I S‐type FIs, whereas molybdenite and chalcopyrite occur as daughter minerals in Stage II S‐type FIs. High‐salinity and high pressure (>220 MPa) FIs exist in Stage I quartz veins, characterized by homogenization through halite dissolution at temperatures of 324 to 517 °C. The paucity of coexisting vapour‐rich FIs with similar homogenization temperatures at this stage indicates that the initial S‐type inclusions have directly exsolved from the magma rather than boiling off of a low‐salinity vapour. Stage I quartz has captured the C‐ and W‐type FIs, which have totally homogenized at 270–530 °C with salinities of 1.6–17.0 wt.% NaCl equiv. At Stage II, the coexistence of all FI types were only observed at pressures of 150–218 MPa and temperatures of 352–375 °C, with two salinity clusters of 0.9–16.6 wt.% NaCl equiv. and 37–56 wt.% NaCl equiv. Stage III quartz contains W‐type FIs with homogenization temperatures of 158–365 °C, salinities of 0.5–9.0 wt.% NaCl equiv., and minimum pressures of 12–116 MPa; whilst Stage IV fluorite or calcite only contains W‐type FIs with homogenization temperatures of 121–287 °C, salinities of 0.5–5.3 wt.% NaCl equiv., and minimum pressures of 10–98 MPa. The estimated trapping pressure from Stages II to III suggests an alternating lithostatic–hydrostatic fluid‐system caused by fluid boiling. Ore fluids at the Chalukou Mo deposit may have been evolved from a CO₂‐rich, high‐salinity, and high‐oxygen fugacity (fO₂) magma system, to a CO₂‐poor, low‐salinity, and low‐fO₂ epithermal system. Two key points may have contributed to the formation of the Chalukou giant Mo deposit: The magmatic origin and fluid boiling that has resulted in decompression and rapid precipitation of metals. Copyright © 2014 John Wiley & Sons, Ltd.     

Resazurin as an indicator of reducing capacity for analyzing the physiologic status of deep-sea bacterium Photobacterium phosphoreum ANT-2200

Journal of Oceanology and Limnology - Resazurin (RZ) is a weakly fluorescent blue dye and can be reduced irreversibly to highly fluorescent pink resorufin (RF) that is reduced reversibly to...     

基于超像素图卷积网络的高光谱图像分类

高光谱图像分类是遥感领域中一个具有挑战性的问题。基于深度学习框架的高光谱图像分类方法,由于其良好的分类性能受到了越来越多的关注。然而,这些方法普遍存在的问题为：模型的训练不仅需要大量的时间,而且还需要大量的标签样本。针对此问题,本文提出了一种基于超像素图卷积网络的高光谱图像分类方法。该方法以超像素作为图的节点,极大地减小了图的规模,从而提高了分类效率;提出的超像素合并技术能有效地融合光谱-空间信息,增强了空间信息在分类中的作用;为了验证该方法的有效性,在Indian Pines、Pavia University两个实际数据集上进行试验,并与一些先进的基于深度学习框架的高光谱图像分类方法进行比较。结果表明,本文方法在分类精度和分类效率上均优于其他方法。