Delineation of intrinsic geological units

Conventional methods for the estimation of mineral resources potential are broadly subdivided into two groups: subjective models based upon ore genetic theories and objective models based upon multiple geological observations. This paper examines some objective means that brings the two types of model together and jointly utilizes the information from both ore genesis and geological observations in delineation of promising areas for mineral exploration. These promising areas are here referred to as intrinsic geological units. They are so-called because they are not identified directly with respect to mineral deposits, but delineated in terms of some critical genetic factor, a necessary condition for formation of the mineral deposits. Four major steps are involved in this analysis. First, establish the structure of critical genetic factor-recognition criteria-multiple geodata for the deposit type of interest. Next, estimate probabilities of occurrence of each of the recognition criteria based upon geological observations. Third, a synthesized probability measure for occurrence of critical genetic factor is determined as an optimum linear combination of the probabilities estimated in the second stage. Finally, intrinsic geological units are delineated by optimally discretizing the probability measure for the critical genetic factor. This estimation procedure is formulated into a three-stage optimization model: logistic regression-quadratic programming-optimum discretization, which is demonstrated with a case study on epithermal Au-Ag mineral deposits in the Walker Lake quadrangle of California and Nevada. In this case study, heat source is selected as the critical genetic factor and it is identified by three selected recognition criteria: Au-Ag mineral occurrence, Tertiary intrusive, and hydrothermal alteration. The intrinsic geological units for epithermal Au-Ag deposits are delineated on the basis of six different preprocessed and integrated geological, geochemical, and geophysical fields.     

模糊模式识别法在评价地下水水质中的应用

采用模糊模式识别法评价地下水水质,提出了相对隶属度理论,通过距离平方和最小的准则,建立目标函数,可得地下水水质的变化趋势,更符合当代地下水水质评价的要求。应用该法评价太原市地下水,得到了满意的结果。     

An Approach for the Classification of Urban Building Structures Based on Discriminant Analysis Techniques

Recognition of urban structures is of interest in cartography and urban modelling. While a broad range of typologies of urban patterns have been published in the last century, relatively little research on the automated recognition of such structures exists. This work presents a sample‐based approach for the recognition of five types of urban structures: (1) inner city areas, (2) industrial and commercial areas, (3) urban areas, (4) suburban areas and (5) rural areas. The classification approach is based only on the characterisation of building geometries with morphological measures derived from perceptual principles of Gestalt psychology. Thereby, size, shape and density of buildings are evaluated. After defining the research questions we develop the classification methodology and evaluate the approach with respect to several aspects. The experiments focus on the impact of different classification algorithms, correlations and contributions of measures, parameterisation of buffer‐based indices, and mode filtering. In addition to that, we investigate the influence of scale and regional factors. The results show that the chosen approach is generally successful. It turns out that scale, algorithm parameterisation, and regional heterogeneity of building structures substantially influence the classification performance.     

Distinguishing volcanic lithology using Self-Organizing Map

Self-Organizing Map is an unsupervised learning algorithm.It has the ability of self-organization,self-learning and side associative thinking.Based on the principle it can identified the complex volcanic lithology.According to the logging data of the volcanic rock samples,the SOM will be trained,The SOM training results were analyzed in order to choose optimally parameters of the network.Through identifying the logging data of volcanic formations,the result shows that the map can achieve good application effects.     

长春市城市建设用地演进的空间识别及影响机制研究

随着城市化进程的加快,城市建设用地扩张成为人地关系及可持续发展面临的重要问题,社会各界对城市化与建设用地扩张的关注也越来越多。以长春市中心城区为研究对象,利用1800~1995年统计资料,1995年、2000年、2005年和2010年的遥感影像图及规划统计数据,运用GIS技术提取城市建设用地规模、形态、增长幅度、平均中心等信息,建立一种在空间上有效识别城市建设用地扩张的简便方法,对研究区1995~2010年不同阶段的城市建设用扩展进行空间识别,计算城市建设用地扩张速度、强度、形态紧凑度、分维指数等空间特征量,归纳长春市1995年以来,随城市化发展,城市建设用地空间扩张现象和特征。并结合经济社会统计相关数据及区域分析方法,分析城市建设用地扩张与其各类驱动要素之间的关系。结果表明,长春市建设用地空间扩张与形态演化既具有一般规律又具备特殊性,表现出建设用地总量增加、产业拉动性强、扩张速度快、强度高、空间形态不规则、城市中心迁移方向与建设用地扩张基本一致等特征。这些现象和特征形成的主要影响因素为快速城市化背景下开放式交通系统的高密度开发。     

川中蓬莱地区须家河组须二段储层成岩相与优质储集层预测

通过岩心观察并综合利用普通薄片、铸体薄片和扫描电镜分析等资料,对须二段储层岩石学特征、物性及孔隙结构特征、成岩作用、成岩矿物、成岩环境、所处成岩阶段和成岩演化序列等进行了研究。结果表明,须二段储层经历压实压溶、胶结、溶蚀和破裂等成岩作用,现今处于中成岩A 期。根据成岩作用类型和强度、成岩矿物及其对储层物性的影响划分出3种成岩相：强压实自生矿物胶结相、强压实不稳定组分溶蚀相和破碎裂缝相。选取了对成岩相较敏感的声波时差、电阻率、自然伽马、密度和中子5条常规测井曲线和成像测井资料,通过岩心资料刻度测井建立了各成岩相的测井识别标准,将成岩相进行剖面展开和平面成图。再根据有利成岩相的平面展布规律,对蓬莱地区须二段优质储层发育带进行了预测,认为平面上的斜坡中部为主要的优质储集层发育区。     

多元地球化学异常识别的核马氏距离方法

地球化学数据满足多元正态分布时,马氏距离是一种有效识别多元地球化学异常的综合指标。然而,由于地质系统的复杂性、成矿作用的多期多阶段性以及控矿因素的多重性常常导致多元地球化异常临界面是非线性的和模糊的,用马氏距离定义的平滑超椭球面不能准确表示这种复杂曲面。核函数能够将地球化学样品集非线性变换至特征空间,背景样品的映像集合在特征空间中构成一种流型,异常样品的映像则零散分布于流型的边缘及外围。计算和比较样品映像到样品映像总体的核马氏距离,可以识别异常样品。把该方法应用于白山地区多元地球化学异常识别,用核马氏距离、马氏距离和主成分得分识别金-银、金-银-砷-铋-汞、金-银-铜-铅-锌-锑-钴、金-银-铜-铅-锌-砷-锑-铋-汞-钴4种组合模式的多元地球化学异常。研究结果表明：复合核函数马氏距离的多元地球化学异常识别效果优于其他方法。     

基于深度学习的介形类化石层次化识别

介形类化石对地质年代的确定、古湖泊和古海洋的研究、古环境的重建以及海底石油资源的勘探等工作都具有重要意义.然而,现有识别化石颗粒的方法费时费力,准确率也有待提高.鉴于介形类化石颗粒的类别具有科、属、种的层次结构,种类数量庞大,所以笔者等提出了一种层次化识别方法.首先进行目标检测,实现介形类化石的定位与属类划分;之后在目...     

新疆地震台网对新疆呼图壁大容量气枪震源信号的接收能力及其影响因素分析

利用新疆地震台网资料和功率谱密度法,以台站噪声的功率谱密度中值曲线作为评估台站噪声水平的依据,对6个台站的噪声水平进行了评估。对比不同台站的功率谱密度和气枪震源信号的识别情况发现,通过2000次叠加,可以识别气枪震源信号的台站的噪声水平均低于无法识别气枪震源的台站,噪声功率谱密度最大差值为40dB,最小差值15dB。最后通过对噪声水平的评估,判断部分台站无法识别气枪震源信号的主要原因是台站噪声水平较高造成的。     

基于POI数据的广州零售商业中心热点识别与业态集聚特征分析

商业中心是城市零售活动的重要载体,优化商业资源在城市内部空间的合理配置,摸清不同零售经营形态的区位选择,显得尤为重要。以面向公众服务的商业机构兴趣点（POI）数据为研究对象,提出一种城市商业中心与零售业态集聚区识别的方法;以广州市为例,分析商业活动的热点地区以及零售业态集聚区的空间分布特征。研究表明：① 根据核密度估计法提取的商业中心在等级上表现出由城市中心圈层向外围圈层扩散的趋势,结果符合客观事实。② 以街区为单元,商业网点密度符合局域Getis-Ord G^*指数统计特征的热点区域主要分布在越秀区和天河区,广州市零售业发展的双核心空间格局已经形成。③ 不同的零售业态对商业集聚的区位选择具有显著差异性,百货商店、超市、便利店等零售经营形态的空间集聚特征与该业态的市场定位、经营模式及选址策略基本吻合。总体来看,基于POI数据的广州零售业集聚空间分析结果能够反映实体零售企业行为与广州商业经济分布的相关性,有助于提高政府部门商业规划和零售商选址前期研究的客观性和科学性。