ANN技术在岩溶地下水可开采量评价中的应用——以山西晋祠泉域为例

以晋祠泉域为例,分析该泉域水文地质特征。应用神经网络技术(ANN)建立泉域内县代表性的难老泉岩溶地下水位与各种补排项之间定量数学模型,对该泉域地下水可开采量进行了评价。研究结果表明,所建立的岩溶地下水位多因素神经网络模型具有较好的拟合精度,仿真程度较高,所得到的地下水可采资源量评价结果与该地区地下水开发利用实际情况较为一致。同时,还计算了不同降雨条件下地下水的可开采量,使其对地下水的开采规划更具有指导意义。     

地质雷达探测工程的几个问题

地质雷达(GPR)探测技术在浅层地质勘探领域广泛应用,并取得较好的应用效果.文章针对消除干扰的方法、关于防空洞探测、关于公路路面检测和隧道衬砌质量检测、地下岩溶探测等内容进行了探讨.     

GPS测量在巴郎沟水电站施工控制网中的应用

介绍了巴郎沟水电站GPS施工控制网的布设、基线处理及平差方法,分析了GPS施工控制网精度及基线粗差,实现了在隐蔽地区较高精度GPS施工测量的应用.     

Neo-liberal ruptures: Local political entities and neighbourhood networks in El Alto, Bolivia

In October 2003, hundreds of thousands of Bolivians took to the streets demanding the resignation of President Gonzalo Sánchez de Lozada. After 20 years of neo-liberal policies - and the failures to improve the living conditions of the majority - the proposal to export natural gas via Chile was taken by the population as yet another step to sustain an unjust political order. Facing a direct challenge by the population the Sánchez de Lozada administration responded with indiscriminate military force. The result was 63 dead and over 300 wounded, which deepened and extended the social rage and eventually forced the resignation of the President. The neo-liberal project - promoted and defended by Sánchez de Lozada - collapsed. The city of El Alto was the epicentre of the challenges to the legitimacy of this political order. This article focuses on the role of local political entities and neighbourhood networks from El Alto in articulating political spaces that challenged the legitimacy of the institutional infrastructure and led to the October 2003 ruptures in the neo-liberal project. Furthermore, I make the case that the particular histories and memories (of “relocalized” miners and indigenous/peasants) that converged in and defined this city were pivotal in the organization of a “political subsoil” that surged to the surface during the October 2003 events.     

青海麦秀山滑坡形成机理分析

文章从地形地貌、地层岩性、地质构造、水文气象条件等方面,对青海麦秀山滑坡的产生机理进行分析,重点阐明地质构造对地质灾害的控制作用。3个滑坡形成的基本机理:滑坡均在断层带,所处地层岩体均因受构造作用,节理裂隙发育,岩体多呈破碎状,风化强烈,表层泥质砂砾岩已全风化成土状,加之岩体破碎,裂隙发育,地表水、地下水补给充分,加速了岩石的风化、泥化,长期在丰富饱和的地下水的浸泡下形成可塑、软塑泥状物,其滑动带主要依附于硬塑-软塑的过渡层,滑床为较硬的砂砾岩。由此建议,对修建山区公路时所遇到的舒缓坡地,应慎重判识是否存在滑坡灾害,并采用合理的绕避或工程措施,将地质灾害在公路建设中产生的损失及不良影响降到最低点。     

Tectonic implications of damage zone-related fault-fracture networks revealed in drill core through the Nojima fault, Japan

1800 m of drill core through the Nojima fault zone, Japan, reveals subsidiary fault and fracture networks that developed in the fault zone that triggered the 1995 Ms 7.2 Kobe earthquake. The subsidiary fault zones contain a fault gouge of < 1 cm bounded by thin zones of foliated cataclasite or breccia. Fractures are filled with calcite veins, calcite-cemented breccias, clay, and iron-oxide and carbonate alternation of the granitic host rock. These features are typical of extensional fractures that form the conduit network for fluid flux close to a major fault zone. The zone of distributed deformation surrounding the main fault is 50 m in width, and the dip of the Nojima fault at > 1 km depth is 75°. The fault-fracture networks associated with the Nojima fault zone are coseismic and were filled with carbonate and fine-grained material during repeated seismic-related infiltration of the fault zone by carbonate-bearing subsurface water. This study shows that fault-related fracture networks plays an important role as fluid flow conduits within seismically active faults, and can change in character from zones of high permeability to low permeability due to cementation and/or pore collapse.     

基于改进SOFM的矢量量化图像压缩

在介绍矢量量化和自组织特征映射神经网络的基础上，针对基于自组织特征映射神经网络的矢量量化算法，在初始码书生成、获胜神经元搜索策略以及调整获胜码字及其拓扑领域权值等方面进行改进。实验结果表明改进算法具有合理性和有效性。     

道路数据缩编更新的自动综合方法研究

缩编更新是当前GIS多尺度数据库更新的重要技术途径之一。针对我国国家1∶5万数据库更新工程的实际需求,研究分析了用较大比例尺新道路数据缩编更新较小比例尺道路数据的总体思路,提出了基于网眼密度的道路选取和顾及层次分析的道路匹配方法,实现了道路数据缩编更新的自动综合处理,并在1∶5万数据更新实践中进行了实验验证。     

Texture classification of Mediterranean land cover

Maximum likelihood (ML) and artificial neural network (ANN) classifiers were applied to three Landsat Thematic Mapper (TM) image sub-scenes (termed urban, agricultural and semi-natural) of Cukurova, Turkey. Inputs to the classifications comprised (i) spectral data and (ii) spectral data in combination with texture measures derived on a per-pixel basis. The texture measures used were: the standard deviation and variance and statistics derived from the co-occurrence matrix and the variogram. The addition of texture measures increased classification accuracy for the urban sub-scene but decreased classification accuracy for agricultural and semi-natural sub-scenes. Classification accuracy was dependent on the nature of the spatial variation in the image sub-scene and, in particular, the relation between the frequency of spatial variation and the spatial resolution of the imagery. For Mediterranean land, texture classification applied to Landsat TM imagery may be appropriate for the classification of urban areas only.     

在网络环境下的图书馆计算机编目

叙述了计算机编目的重要性,分析了图书馆计算机编目的现状和面临的挑战,阐述了网络环境下图书馆计算机编目内容和形式的扩展,并根据成都气象学院图书馆计算机编目的现状提出了相应的对策。