基于非线性测度函数的改进属性识别模型在水质综合评价中的应用

线性测度函数的传统属性识别模型,对水质评价标准随机抽样的评价结果存在较大误差。为增加其对实测样本评价的可信度,提出了基于非线性属性测度函数的改进属性识别模型。均匀随机和正交设计两种抽样的评价试验显示,改进属性识别模型评价结果准确度明显好于传统模型,说明指标的属性测度函数对属性识别模型的综合评价结果有重要影响。太原市地下水水质的综合评价实例说明,由于非线性测度函数比线性测度函数能更好地描述评价指标的实际隶属度,故改进的属性识别模型具有更高的评价可信度,在水质综合评价中具有更广泛的适用性。     

Effect of Multipoint Heterogeneity on Nonlinear Transformations for Geological Modeling： Porosity-Permeability Relations Revisited

An analysis of statistical expected values for transformations is performed in this study to quantify the effect of heterogeneity on spatial geological modeling and evaluations. Algebraic transformations are frequently applied to data from logging to allow for the modeling of geological properties. Transformations may be powers, products, and exponential operations which are commonly used in well-known relations (e.g., porosity-permeability transforms). The results of this study show that correct computations must account for residual transformation terms which arise due to lack of independence among heterogeneous geological properties. In the case of an exponential porosity-permeability transform, the values may be positive. This proves that a simple exponential model back-transformed from linear regression underestimates permeability. In the case of transformations involving two or more properties, residual terms may represent the contribution of heterogeneous components which occur when properties vary together, regardless of a pair-wise linear independence. A consequence of power- and product-transform models is that regression equationswithin those transformations need corrections via residual cumulants. A generalization of this result isthat transformations of multivariate spatial attributes require multiple-point random variable relations. This analysis provides practical solutions leading to a methodology for nonlinear modeling using correct back transformations in geology.     

智能全站仪在大型压力容器焊接变形监测中的应用

在大型压力容器的部件焊接过程中,由于预热、焊接等工艺流程会导致各部件产生变形,从而引起部件之间的位置关系产生变化。为保证压力容器成品满足设计要求,必须在制造过程中实施变形监测,依据变形数据适当调整焊接工艺流程,控制变形量。提出采用智能全站仪配以自动变形监测软件对大型压力容器焊接变形进行实时监测,并应用于生产实践中,监测结果表明该方法自动化程度高、实时性好,能同时给出位置和姿态变形数据。     

植被波谱空间尺度效应及尺度转换方法初步研究

基于遥感图像的地物识别需要大量地物波谱数据的支持,而现有地物波谱库中收集到的同一地物的波谱,由于其测量尺度和方法的差异,波谱也存在很大差异.以冬小麦为例,首先介绍了材料波谱、端元波谱和像元波谱这3种不同尺度波谱的概念,并以实验数据分析了不同测量尺度下波谱的差别,以此说明波谱尺度转换的必要性.然后利用物理模型和统计模型建立不同测量尺度下的波谱转换关系.分别验证了SAILH模型和线性光谱混合模型在波谱转换中的精度.研究表明,在大尺度上采用统计模型,在小尺度上采用非线性的物理模型可以解释不同尺度观测植被波谱之间的差异.     

北京市地铁暗挖施工沉降控制探讨

仅以北京市地铁4#线张自忠车站主体暗挖施工的沉降监控项目为研究背景,对穿越城市主干道的车站结构暗挖施工进行连续性的沉降变形监测;从地下构筑物暗挖施工的工序变化与地表沉降的关系进行试验研究.在预测基础上对获取的数据进行多层次的统计与分析,以研究其变形规律与稳定性,实现了信息化施工.     

变形监测信息管理系统的设计与实现

介绍了GIS数据管理与图形显示的优势、组件技术,设计了变形监测数据管理系统平台,实现了变形监测数据的智能化管理、分析与预测.     

基于相关系数匹配的混合像元分解算法

遥感影像中的混合像元不仅影响地物识别和分类的精度,而且已成为遥感科学向定量化发展的主要障碍.为此,人们已经提出了多种混合像元分解算法,其中应用最为广泛的是最小二乘法.该方法虽然具有意义明确、简单易行等特点,但也易受局部噪声、大气效应、环境辐射等因素的影响.本文将混合像元分解问题归结为一个基于光谱匹配的非线性最优化问题,并针对最小二乘法的不足提出了一种新的基于相关系数匹配(spectral correlation matching, SCM)的混合像元分解技术.通过在北京市北三环及其以北区域内案例的研究表明:在城市区域内,利用图像选取终端端元的办法,基于相关系数匹配的混合像元分解算法的总体精度高于带全约束的最小二乘法(LS)的分解结果.对比分析表明:在目标光谱的绝对值整体放大或缩小而光谱形状得到了很好的保持、及局部噪声使得光谱值显著变化但光谱形状得到了一定程度保持时,基于光谱形状的相关系数法可以得到比基于光谱绝对值的最小二乘法精度更高的分解结果.     

徕卡GPS静态测量在小浪底变形监测中的应用

一、小浪底水利枢纽工程大坝变形观测设计方案1.工程概况小浪底水利枢纽工程位于黄河干流最后一个峡谷出口,上游距三门峡水利枢纽130 km,下游距郑州花园口128 km,是惟一能在黄河下游取得较大库容的控制性工程。枢纽建成后,能有效地控制黄河泥沙,减少下游淤积,提高下游的防洪标准。小浪底水利枢纽大坝为壤土斜心墙堆石坝,最大坝高154 m,坝顶长1 667 m,坝顶宽12 m,最大底宽800 m。2.主坝外部变形观测设计方案为了监测主坝的外部变形情况,在坝顶及上下游坝坡上共布设了15条视准线,工作基点24个(其中基岩标7个),表面位移标点145个,见图1。原设计…     

Jurassic Tectonics of North China: A Synthetic View

This paper gives a synthetic view on the Jurassic tectonics of North China, with an attempt to propose a framework for the stepwise tectonic evolution history. Jurassic sedimentation, deformation and magmatism in North China have been divided into three stages. The earliest Jurassic is marked by a period of magmatism quiescence （in 205-190 Ma） and regional uplift, which are considered to be the continuation of the “Indosinian movement” characterized by continent-continent collision between the North and South China blocks. The Early to Middle Jurassic （in 190-170 Ma） was predominated by weak lithospheric extension expressed by mantle-derived plutonism and volcanism along the Yanshan belt and alongside the Tan-Lu fault zone, normal faulting and graben formation along the Yinshan- Yanshan tectonic belt, depression and resuming of coal-bearing sedimentation in vast regions of the North China block （NCB）. The Middle to Late Jurassic stage started at 165y.5 Ma and ended up before 136 Ma; it was dominated by intensive intraplate deformation resulting from multi-directional compressions. Two major deformation events have been identified. One is marked by stratigraphic unconformity beneath the thick Upper Jurassic molasic series in the foreland zones of the western Ordos thrust-fold belt and along the Yinshan-Yanshan belt; it was predated 160 Ma. The other one is indicated by stratigraphic unconformity at the base of the Lower Cretaceous and predated 135 Ma. During this last stage, two latitudinal tectonic belts, the Yinshan-Yanshan belt in the north and the Qinling-Dabie belt in the south, and the western margin of the Ordos basin were all activated by thrusting; the NCB itself was deformed by the NE to NNE-trending structural system involving thrusting, associated folding and sinistral strike-slip faulting, which were spatially partitioned. Foliated S-type granitic plutons aged 160-150 Ma were massively emplaced in the Jiao-Liao massif east of the Tan-Lu fault zone and indicate important crustal thicken     

RBF网络在地质样品非线性基体效应校正中的应用

基于RBF(Radial Basis Function)网络的正交最小平方算法,对攀枝花地质样品进行动态非线性基体效应校正.首先采用EDXRF仪器对样品进行测量,并对样品的荧光计数进行归一化,设计出自动分类模型和动态非线性数据基体效应校正模型的二级串联结构,用自组织神经网络(SOFM)进行分类,然后用RBF网络预测了未知样品元素Ti的百分含量.结果表明:对所预测样本的Ti的百分含量与化学分析相比的误差均小于0.5%.由此可见,用RBF方法可以有效地对地质样品进行非线性基体效应校正,能够达到工矿生产的要求.