个旧锡矿大马芦层间氧化矿床地质特征及找矿方向研究

个旧锡矿层间氧化矿床品位高、工业利用价值大，加强这类矿床地质特征的研究，对于矿山深部及外围的锡矿找矿具有重要的指导意义。通过对个旧锡矿层间氧化矿床产出的地质特征、控矿因素的分析与研究，探讨了其矿床成因，并总结出：“背-突式”、“向-断-凹式”、“断-互式”及“断裂式”四种成，矿模式。按这些模式的找矿实践表明，找矿效果极佳。     

黔西北猫猫厂-榨子厂铅锌矿区地质特征及找矿方向

猫猫厂铅锌矿系黔西北铅锌银矿集区主要矿床之一，产于NW向与NE向构造交切复合部位，赋矿地层主要为石炭系白云岩、白云质灰岩。通过对矿床地质特征的总结及与邻区典型矿床类比分析，认为深部找矿潜力大，应加大找矿力度。     

川藏公路然乌-鲁朗段地质灾害影响因素定量分析

川藏公路然乌—鲁朗段工程地质条件极其复杂,导致大型地质灾害频繁发生。为了定量地分析各种影响因素对大型地质灾害的贡献,本文根据信息熵的理论和方法,提出了“地质灾害熵”的概念。通过详细分析川藏公路然乌—鲁朗段大型地质灾害资料,选择平均坡度、断层和节理、岩体结构、松散堆积物、水文地质条件、冰川作用和降雨等7个影响因素,分析它们对研究区某些大型地质灾害的影响程度,计算出了各影响因素的“地质灾害熵”。根据“地质灾害熵”计算得到了各影响因素的权重,在一定程度上解决了地质灾害影响因素的定量分析问题。     

Statistical analysis of time-dependent earthquake occurrence and its impact on hazard in the low seismicity region Lower Rhine Embayment

The time-dependence of earthquake occurrence is mostly ignored in standard seismic hazard assessment even though earthquake clustering is well known. In this work, we attempt to quantify the impact of more realistic dynamics on the seismic hazard estimations. We include the time and space dependences between earthquakes into the hazard analysis via Monte Carlo simulations. Our target region is the Lower Rhine Embayment, a low seismicity area in Germany. Including aftershock sequences by using the epidemic type aftershock-sequence (ETAS) model, we find that on average the hypothesis of uncorrelated random earthquake activity underestimates the hazard by 5–10 per cent. Furthermore, we show that aftershock activity of past large earthquakes can locally increase the hazard even centuries later. We also analyse the impact of the so-called long-term behaviour, assuming a quasi-periodic occurrence of main events on a major fault in that region. We found that a significant impact on hazard is only expected for the special case of a very regular recurrence of the main shocks.     

Mapping landslide susceptibility from small datasets: A case study in the Pays de Herve (E Belgium)

A landslide susceptibility map is proposed for the Pays de Herve (E Belgium), where large landslides affect Cretaceous clay outcrop areas. Based on a Bayesian approach, this GIS-supported probabilistic map identifies the areas most susceptible to deep landslides. The database is comprised of the source areas of ten pre-existing landslides (i.e. a sample of 154 grid cells) and of six environmental data layers, namely lithology, proximity to active faults, slope angle and aspect, elevation and distance to the nearest valley-floor. A 30-m-resolution DEM from the Belgian National Geographical Institute is used for the analysis. Owing to the small size of the sample, a special cross-validation procedure of the susceptibility map is performed, which uses in an iterative way each of the landslides to test the predictive power of the map derived from the other landslides. Four different sets of variables are used to produce four susceptibility maps, whose prediction curves are compared. While the prediction rates associated with the models not involving the “proximity to active fault” criterion are comparable to those of the models considering this variable, strong weaknesses inherent in the fault data on which the latter rely suggest that the final susceptibility map should be based on a model that excludes any reference to fault. This highlights the difference between a triggering factor and determining factors, and in the same time broadens the scope of the produced map. A single reactivated slide is also used to test the possibility of predicting future reactivation of existing landslides in the area. Finally, the need for geomorphological control over the mathematical treatment is underlined in order to obtain realistic prediction maps.     

广东省某水电站上坝公路、进厂房公路地质灾害影响评估

通过对广东省某水电站公路两侧存在的地质灾害-滑坡进行稳定性分析,并结合区域地质情况对该电站上坝公路、进厂房公路两侧存在的地质灾害现状进行了评估;最后,对评估区进行了分区,同时针对不同分区提出不同的治理方案.     

克克齐矿区铜矿床地质、地球物理特征及找矿远景

克克齐矿区铜矿床分别产于石炭系中统本巴图组二岩段及上统阿木山组二岩段的海相火山碎屑沉积岩中，地表以铁帽的形式存在，岩石见褐铁矿化，探槽中可见有孔雀石。该铜矿床的成因类型是海相火山岩型。地下铜矿体的上方有明显的激电异常反映，激电异常应是本区寻找赋存在海相火山碎屑岩地层中铜矿体的找矿有利标志。文章论述了铜矿床所处的区域地质背号、矿区和矿床（体）地质特征、地球物理特征，初步分析了引起矿致异常的条件和因素，对异常进行了评价，并提出了找矿建议。     

基于MatLab的神经网络在江苏矿山地质环境评估中的应用

神经网络作为一种新的方法体系,具有分布并行处理、非线性映射、自适应学习和鲁棒容错等特性,在模式识别、控制优化和智能信息处理等方面有着广泛的应用。利用MatLab的神经网络工具箱,建立了江苏矿山地质环境质量的评估模型,评估结果经过实际验证,具有较高的可信度和实用性。     

个旧老-卡岩体接触-凹陷带锡-铜多金属矿地质特征及成因分析

个旧老—卡岩体接触—凹陷带是个旧矿集区最重要的锡-铜多金属成矿构造带,该带中锡、铜矿产资源十分丰富。通过对凹陷带内矿体地质特征、围岩地层含矿性、微量元素、稀土元素、稳定同位素等的研究,结合大地构造环境,结果认为,凹陷带矿体是多种成矿物质来源,经历多种地质作用、多个大地构造演化阶段的多因复成矿床,接触-凹陷带锡-铜矿体形成主要与燕山中晚期花岗岩岩浆作用有关,其次与印支期海底火山-沉积与海底（火山）喷流-热水沉积成矿作用有关。     

大井铜-锡多金属矿床地质特征及其成因

通过对大井铜-锡多金属矿床成矿地质环境、矿床地质特征以及对岩（矿）石同位素、稀土元素、成矿温度等地球化学和成矿物理化学环境的研究,认为,大井铜-锡多金属矿床为一典型的岩浆热液充填型矿床。与成矿有关的隐伏岩体受深部隐伏的深大断裂控制,可能与黄岗梁矽卡型铁-锡矿床同属一构造岩浆成矿带上不同成矿环境下形成的矿床。并认为,在该成矿带上及大井矿区深部仍有较大的找矿潜力。