山东三山岛金矿床流体包裹体特征及其地质意义

三山岛金矿床位于莱州市三山岛—仓上断裂带内,矿石主要为蚀变岩和含金石英脉2种类型。随着胶东金矿床研究的深入和三山岛金矿资源的不断减少,对三山岛金矿床的成矿作用及深部开发前景问题研究具有更重要的意义。针对上述问题,对三山岛金矿床2种类型矿石的成矿流体特征进行对比研究,认为代表成矿早—中期的蚀变岩型矿石形成于中温(均一温度为325～240℃)、低盐度(2.07%～6.88%)、低密度(0.720～0.868g/cm3)、酸碱性不均匀(pH=3.27～10.43)、以氟化物和氯化物为成矿物质载体的还原性流体;代表成矿中—晚期的含金石英脉型矿石形成于中—低温(均一温度为306～160℃)、低盐度(1.05%～9.73%)、低密度(0.739～0.962g/cm3)、碱性(pH=9.25～9.85)、以氯化物和硫化物为成矿物质载体的还原性流体。成矿流体性质的转变反映了成矿流体处于由比较封闭到比较开放的构造环境的转变期,且成矿流体早期以原生岩浆水为主,后期有变质水、大气降水以及海水的参与作用。三山岛金矿成矿深度为2.5～5km,根据目前的开采深度推算其深部还有一定的资源量可供开发。     

一个新的沉积变质型钛矿床的成矿模式及找矿方法

内蒙古羊蹄子山沉积变质型钛矿床是一个新的钛矿床类型。通过对地质、地球物理前提条件的研究和找矿方法试验,认为高精度磁法是找沉积变质型钛矿床的基本方法,重力为有效的找矿方法。在矿区北带磨石山以金红石为主的富钛矿体上有600 μGal的重力异常,无磁异常;南带的羊蹄子山钛铁矿体上重力异常为500 μGal,有60 nT的弱磁异常。     

广西大厂超大型锡矿的形成条件与成矿模式

超大型矿床的形成条件有其特殊性.大厂超大型锡矿产出于南丹-昆仑关基底性深大断裂带上,经过多旋回构造-岩浆活动使矿质继承叠加,最后聚积于燕山晚期的岩浆热液中.大厂超大型锡矿床是各种成矿因素良好匹配,并经长时期的多重富集综合作用的结果.     

吉林省海沟金矿床的地球化学异常模式

在总结海沟金矿床区域水系沉积物、矿区水系沉积物及矿体的岩石、土壤地球化学异常特征的基础上,建立了海沟金矿床的地球化学异常模式,并依据该模式对区域47个异常进行了研究对比,预测出一处寻找海沟式金矿床的有望异常。     

论企业的激励机制

本文从激励的作用及激励机制建立的基本原则谈起,从物质激励要和精神激励相结合,多跑道、多层次激励机制的建立和实施,充分考虑员工的个体差异,实行差别激励的原则,企业家的行为是影响激励制度成败的一个重要因素等多方面的内容进行论述。     

基于权变理论的滑坡灾害监测预报思路探讨

文章简要评述了地质灾害基础理论与应用技术发展现状、滑坡灾害多种监测预报判据的利弊。利用综合信息处理决策方法,提出了基于权变理论的滑坡灾害监测预报新思路。分析了滑坡成灾的权变特征、环境因素和决策因素,建立了滑坡灾害预报决策概念模型。进一步探讨了在预报决策中应遵循的动态性及满意性原则,为提高地质灾害监测预报理论的科学性提供了新的理论依据与技术途径。     

Population growth and the development of a central place system

This paper describes the spatial and functional evolution of a central place system as market conditions change with population growth. Utilizing a partial equilibrium optimization model, we examine the spatial response of two economic sectors to increases in market populations resulting from natural increase and migration. Response in both sectors is conditioned by threshold demand, with factor prices also affecting one of the sectors. As the central place system evolves it exhibits spatial and functional characteristics that are initially consistent with a Löschian landscape, then a Christallerian landscape at higher populations, while at even larger populations Krugman’s landscape emerges.     

均匀设计与灰色理论在边坡稳定性分析中的应用

采用均匀设计安排试验,运用灰色理论中的灰色关联分析考察边坡稳定性影响因素的主次.结果表明,边坡稳定性影响因素的敏感性由大到小依次为:粘聚力、内摩擦角、重度、预应力、锚索间排距、锚索长度、锚固段长度、锚固角.可见,岩体的抗剪强度指标是影响边坡稳定性的最重要参数,其次是岩体的容重,而预应力锚索的设计参数对边坡的稳定性也有一定影响.这一分析结果为边坡开挖设计和加固方案的优化提供了重要依据.     

Non-Linear Theory and Power-Law Models for Information Integration and Mineral Resources Quantitative Assessments

Singular physical or chemical processes may result in anomalous amounts of energy release or mass accumulation that, generally, are confined to narrow intervals in space or time. Singularity is a property of different types of non-linear natural processes including cloud formation, rainfall, hurricanes, flooding, landslides, earthquakes, wildfires, and mineralization. The end products of these non-linear processes can be modeled as fractals or multifractals. Hydrothermal processes in the Earth’s crust can result in ore deposits characterized by high concentrations of metals with fractal or multifractal properties. Here we show that the non-linear properties of the end products of singular mineralization processes can be applied for prediction of undiscovered mineral deposits and for quantitative mineral resource assessment, whether for mineral exploration or for regional, national and global planning for mineral resource utilization. In addition to the general theory and framework for the non-linear mineral resources assessment, this paper focuses on several power-law models proposed for characterizing non-linear properties of mineralization and for geoinformation extraction and integration. The theories, methods, and computer system discussed in this paper were validated using a case study dealing with hydrothermal Au mineral potential in southern Nova Scotia, Canada.     

Extreme value analysis of diamond-size distributions

Extreme value analysis provides a semiparametric method for analyzing the extreme long tails of skew distributions which may be observed when handling mining data. The estimation of important tail characteristics, such as the extreme value index, allows for a discrimination between competing distribution models. It measures the thickness of such long tailed distributions, if only a limited sample is available. This paper stresses the practical implementation of extreme value theory, which is used to discriminate a lognormal from a mixed lognormal distribution in a case study of size distributions for alluvial diamonds.