Fusion of multi‐resolution surface (terrestrial laser scanning) and subsurface geodata (ERT,SRT) for karst landform investigation and geomorphometric quantification

A multi‐method research design based on terrestrial laser scanning, GIS, geophysical prospecting (electrical resistivity tomography, refraction seismics) and sedimentology is applied for the first time to investigate enclosed karst depressions in an integrated way. Fusing multi‐resolution surface and subsurface geodata provides profound insights into the formation, geometry and geomorphologic processes of dolines. The studied landforms, which are located in the Dikti Mountains of East Crete, are shown to be filled by loose sediments of thicknesses of up to 30 m that mainly consist of fine‐grained material overlying solid bedrock at depths below 35 to 45 m. By combining subsurface observations with geomorphometric calculations, local doline genesis can be traced back to initial collapse of fractured bedrock followed by subsequent infilling with colluvials. In order to define crucial methodological requirements and guidelines for data fusion, both the impact of different elevation models and the influence of data resolution are assessed. Surface volumes of depressions derived by the digital surface model are 7–21% higher than the results obtained from the terrain model due to vegetation. Similarly, estimates of infill volume calculated on the basis of geophysical outcomes and elevation data differ by up to 13%. Calculations of the landforms' current volumes (i.e. total surface and subsurface volume), however, are fairly insensitive to raster resolution. Hence, the distinct geomorphologic properties of landforms (e.g. shape, terrain roughness, slope inclination) substantially determine the geomorphometric analysis of both surface and subsurface data. As shown by the findings, data fusion to integrate digital terrain, geophysical and sedimentological datasets of varied resolutions benefits geomorphologic studies and helps provide a comprehensive image of landforms. Copyright © 2013 John Wiley & Sons, Ltd.     

陕西旬阳县红花坪铅锌矿地质特征及找矿前景

红花坪铅锌矿位于南秦岭旬阳盆地金铜、铅锌、汞锑等多金属成矿带内,为一沉积-改造型铅锌矿床。矿区出露地层主要为古生界泥盆系和志留系一套浅变质的细碎屑岩和碳酸盐岩沉积建造,褶皱、断裂发育,热液活动强烈,为成矿物质的活化、运移创造了良好的条件。矿体赋存于下志留世梅子垭组绢云千枚岩及下部石英脉中,受一定的地层岩性、古地理环境和构造控制。目前Ⅰ-1铅锌矿体控制长度已超过1 km,矿体连续性好,形态单一,矿物成分简单,锌含量高,有望成为一中型规模的铅锌矿床。     

综合物探方法在焦家断裂南段金矿找矿中的应用

阐述了综合物探方法在焦家断裂南段金矿找矿中的应用,运用综合物探方法并结合搜集到测区的高精度重力、高精度磁测、常规电法、电磁法、地质、钻孔资料,对焦家断裂南段进行了综合研究,推断了焦家断裂南段的延伸趋势,探讨并总结了测区金成矿规律,圈定并筛选了3处金矿找矿靶区,表现出了较好的综合物探方法运用效果。     

基于GIS数据仓库的激光单分子海洋油气化探数据可视化处理

采用基于地理信息系统(GIS)的数据仓库技术,以激光单分子海洋油气化探数据处理与评价作为数据仓库主题,实现了激光单分子海洋油气化探数据的可视化处理。将可视化处理分为4个步骤:数据预处理、异常背景分析、异常分析、异常综合评价;使用MAPX、DELPHI等软件研制开发了相应的可视化软件模块。通过对渤海湾盆地某测区实测的甲苯化探数据的处理,验证了所开发技术的实用性。     

招平断裂带北段构造控矿特征及找矿方向

招（远）平（度）断裂为胶东西北部三大控矿断裂之一。招平断裂北段玲珑金矿田范围内,向北分为NNE向九曲蒋家和NEE向破头青断裂,该文以它们的交会部位至2条断裂带在玲珑金矿田的结束部位及其所控金矿脉为主要研究内容,通过对招平断裂北段地质构造特征的研究,分析了招平断裂北段的形成和控矿机制,提出了破头青断裂不是控矿断裂的新认识,总结了该区金矿的赋存规律,预测成矿有利部位,提出找矿方向。     

秦岭凤太铅锌-金矿集区成矿规律与找矿预测

凤太铅锌-金矿集区地处秦岭泥盆系贵金属-多金属成矿带西段,总体为夹持于湘子河断裂、酒奠梁断裂之间,以NWW向褶皱和NWW向断裂组合而成的近似菱形构造块体,主要出露的泥盆系为浅变质碳酸盐岩与细碎屑岩建造,东部出露的花红树坪岩体、西坝岩体和集中分布的岩脉为区内铅锌、金成矿提供了物质及热动力.典型矿床解剖结果表明:铅锌矿床受...     

煤炭精准开采地质保障技术的发展现状及展望

声波矿井探测技术是基于声学法进行矿井信息探测的物探技术,相较于其他探测方式具有适用性广、可靠性高、经济投入低等优势。介绍了声波探测技术在矿井领域的发展概况,针对声波探测技术在矿井内部基础物理信息探测、矿井外部地质信息勘探领域内的研究进展和技术特点进行文献梳理与论述,研究声波探测技术在矿井探测领域内判断物体状态的探测机理、实现方式和适用场景。在矿井内部基础物理方面归纳了声波测温、声波定位、声波流场测速等方向的发展概况,针对煤体测温、矿井管线测距、地下构筑物完整性检测及生命探测救援领域内的技术进行重点介绍,同时拓展了声波在烟气流速监测、气体浓度感知、湿度信息探测等方面的发展趋势;在矿井外部地质情况勘探中,总结了声波测井技术和声波CT探测技术的应用情况,并着重介绍了其在围岩裂隙超声波探测及强矿震异常区探测等应用场景中的研究现状。探讨了现阶段矿井声测技术研究中有关定位精度、算法优化、噪声干扰等方面存在的不足,结合当前的物理探测技术现状和现代声学发展形势,对未来声波在微观信息探测、实时系统化控制、误差优化等矿井探测领域的发展趋势与研究重点进行展望,研究成果为我国在声波矿井信息探测领域的研究提供一定借鉴。

     

浅层地震勘探在安阳市地震小区划中的应用

浅层地震勘探是城市地震小区划中不可缺少的重要勘探手段之一。本文介绍了浅层地震勘探在安阳地震小区划中的应用实例,着重论述不同地震地质条件下采取灵活多变的技术措施,获得明显的地质效果。     

Large-scale structure in the NIR-selected MUNICS survey

The Munich Near-IR Cluster Survey (MUNICS) is a wide-area, medium-deep, photometric survey selected in the K' band. The project's main scientific aims are the identification of galaxy clusters up to redshifts of unity and the selection of a large sample of field early-type galaxies up to z < 1.5 for evolutionary studies. We created a Large Scale Structure catalog, using a new structure finding technique specialized for photometric datasets, that we developed on the basis of a friends-of-friends algorithm. We tested the plausibility of the resulting galaxy group and cluster catalog with the help of Color-Magnitude Diagrams (CMD), as well as a likelihood- and Voronoi-approach. This revised version was published online in August 2006 with corrections to the Cover Date.     

应用灰色聚类分析部署地质找矿工作

本文以汝阳南部铅锌矿成矿预测勘查过程中预测出的３２个含矿单元为例，阐述了如何用灰色系统理论中的灰色聚类分析方法定量地划分预测靶区类别，合理、客观地部署铅锌矿地质找矿工作，取得了令人满意的结果。