滇西芦子园远程矽卡岩Pb-Zn-Fe(Cu)多金属矿床流体包裹体初探及矿床成因探讨

滇西镇康芦子园是"三江"成矿带保山地块内迄今发现的唯一超大型Pb-Zn-Fe(Cu)多金属矿床,是区内系列同类层控热液铅锌矿床的典型代表。矿体呈似层状、脉状及透镜状产于寒武系碳酸盐岩建造的矽卡岩和大理岩层间破碎带,矿石构造以条带状、浸染状和脉状-网脉状为主要特征;围岩蚀变复杂、分带明显,由下至上依次为石榴子石-透辉石-透闪石-阳起石化带→绿泥石-绿帘石-阳起石-蔷薇辉石化带→碳酸盐-大理岩化带。矿床成矿流体从早期到晚期经历了多个矿化阶段。本文选取了该矿床早矽卡岩阶段、晚矽卡岩阶段、石英硫化物阶段和石英碳酸盐阶段的多种脉石矿物及闪锌矿进行了系统的流体包裹体研究。结果显示,早矽卡岩阶段发育微溶CO_2富液相和纯液相水溶液包裹体,并含大量K~+、Na~+、Ca~(2+)、F~-和Cl~-和少量SO_4~(2-),气相成分主要为H_2O、CO_2及少量CH_4和N_2,包裹体均一温度为233.6~315.6℃,盐度为10.6%~17.6%NaCleqv;晚矽卡岩阶段发育含CO_2和子矿物三相包裹体,均一温度214.9~388.0℃,盐度5.9%~16.4%NaCleqv;石英硫化物阶段发育含CO_2的水溶液包裹体,气相成分为CH_4、H_2O和少量CO_2,均一温度150.0~285.0℃,盐度为2.5%~13.8%NaCleqv;石英碳酸盐阶段为单一成分的水溶液包裹体,均一温度为105.0~187.5℃,盐度为0.5%~12.3%NaCleqv。结合H-O同位素研究表明,成矿流体最初来源于具中高温、中高盐度、高K、Na,富CO_2、Cl、F等特征的深部岩浆热液,在石英硫化物阶段开始有大气降水混入,演化为中阶段中低温、低盐度、贫CO_2的热液流体,至成矿晚阶段转化为以大气降水占主导。该矿床成矿环境的改变、流体混合以及流体的沸腾作用可能是导致成矿物质富集沉淀的重要机制。综合矿床地质特征、成矿流体包裹体和HO同位素研究认为,该矿床为与陆陆碰撞造山和深部隐伏岩体有关的远程矽卡岩成矿系统。     

兴蒙造山带晚古生代伸展过程:来自二连浩特东北部石炭-二叠系沉积地层的证据

本文选取内蒙古二连浩特东北部本巴图地区,通过对石炭-二叠纪沉积典型地层的剖面测制、锆石U-Pb年代学及Hf同位素分析,查明其充填层序、沉积环境及物质来源,并进一步探讨了兴蒙造山带晚古生代伸展构造的演化过程。来自石炭-二叠纪地层的3个凝灰岩样品中最年轻峰值年龄分别为298Ma、302Ma、303Ma,表明其形成时代为303～298Ma,即晚石炭世-早二叠世,应归属格根敖包组。沉积环境研究揭示石炭-二叠纪沉积地层发育两个从前三角洲相到三角洲前缘相的旋回,其沉积速率估算结果与伸展构造背景下的裂谷盆地沉积速率相似。锆石Hf同位素特征分析表明,从约400Ma到约300Ma,其演化趋势具有新生地壳明显增多的特点,揭示从早中古生代年轻造山带形成到晚古生代伸展作用发生过程中的变化。结合区域地质研究,晚古生代北造山带的沉积演化和伸展作用过程可分为四个阶段:第一阶段为磨拉斯盆地形成,以盆地南缘泥鳅河组为代表;第二阶段为贺根山伸展带发育阶段,形成超基性-基性-酸性的岩浆组合;第三阶段为稳定的陆表海环境,以晚石炭世本巴图和阿木山组的碎屑岩-碳酸盐岩组合为代表;第四阶段是晚石炭世-早二叠世的第二次伸展,发育格根敖包组火山-沉积岩系组成的三角洲沉积,具有陆内裂谷盆地性质。     

The Digital Belt and Road program in support of regional sustainability

The Belt and Road initiative has a significant focus on infrastructure, trade, and economic development across a vast region, and it also provides significant opportunities for sustainable development. The combined pressure of climate variability, intensified use of resources, and the fragility of ecosystems make it very challenging, however, to achieve future sustainability. To develop the path in a sustainable way, it is important to have a comprehensive understanding of these issues across nations and evaluate them in a scientific and well-informed approach. In this context, the Digital Belt and Road (DBAR) program was initiated as an international venture to share expertise, knowledge, technologies, and data to demonstrate the role of Earth observation science and technology and big Earth data applications to support large-scale development. In this paper, we identify pressing challenges, present the research priorities and foci of the DBAR program, and propose solutions where big Earth data can make significant contributions. This paper calls for further joint actions and collaboration to build a digital silk road in support of sustainable development at national, regional and global levels.     

Geometric-constrained multi-view image matching method based on semi-global optimization

Targeting at a reliable image matching of multiple remote sensing images for the generation of digital surface models, this paper presents a geometric-constrained multi-view image matching method, based on an energy minimization framework. By employing a geometrical constraint, the cost value of the energy function was calculated from multiple images, and the cost value was aggregated in an image space using a semi-global optimization approach. A homography transform parameter calculation method is proposed for fast calculation of projection pixel on each image when calculating cost values. It is based on the known interior orientation parameters, exterior orientation parameters, and a given elevation value. For an efficient and reliable processing of multiple remote sensing images, the proposed matching method was performed via a coarse-to-fine strategy through image pyramid. Three sets of airborne remote sensing images were used to evaluate the performance of the proposed method. Results reveal that the multi-view image matching can improve matching reliability. Moreover, the experimental results show that the proposed method performs better than traditional methods.     

Super-resolution enhancement of UAV images based on fractional calculus and POCS

Abstract

A super-resolution enhancement algorithm was proposed based on the combination of fractional calculus and Projection onto Convex Sets (POCS) for unmanned aerial vehicles (UAVs) images. The representative problems of UAV images including motion blur, fisheye effect distortion, overexposed, and so on can be improved by the proposed algorithm. The fractional calculus operator is used to enhance the high-resolution and low-resolution reference frames for POCS. The affine transformation parameters between low-resolution images and reference frame are calculated by Scale Invariant Feature Transform (SIFT) for matching. The point spread function of POCS is simulated by a fractional integral filter instead of Gaussian filter for more clarity of texture and detail. The objective indices and subjective effect are compared between the proposed and other methods. The experimental results indicate that the proposed method outperforms other algorithms in most cases, especially in the structure and detail clarity of the reconstructed images.     

Modelling coastal land use change by incorporating spatial autocorrelation into cellular automata models

This paper presents a spatial autoregressive (SAR) method-based cellular automata (termed SAR-CA) model to simulate coastal land use change, by incorporating spatial autocorrelation into transition rules. The model captures the spatial relationships between explained and explanatory variables and then integrates them into CA transition rules. A conventional CA model (LogCA) based on logistic regression (LR) was studied as a comparison. These two CA models were applied to simulate urban land use change of coastal regions in Ningbo of China from 2000 to 2015. Compared to the LR method, the SAR model yielded smaller accumulated residuals that showed a random distribution in fitting the CA transition rules. The better-fitting SAR model performed well in simulating urban land use change and scored an overall accuracy of 85.3%, improving on the LogCA model by 3.6%. Landscape metrics showed that the pattern generated by the SAR-CA model has less difference with the observed pattern.     

金川铜镍硫化物矿床中铂族矿物的主要类型和产出特征:热液蚀变过程中铂族元素的富集机理

金川铜镍硫化物矿床是我国最主要的铂族元素(PGE)资源产地,其矿石受热液蚀变作用影响明显,并产出多种铂族矿物(PGM)。岩浆演化和热液蚀变过程中PGE的迁移富集机制和PGM的成因,一直是研究PGE地球化学行为非常关注的问题。本文对金川铜镍硫化物矿床中PGM的研究发现,其主要类型包括含PGE的硫砷化物(硫砷铱矿)和砷化物(砷铂矿),Pd的铋化物、碲化物和硒化物,以及少量其他铂族矿物。其中,硫砷铱矿可包裹于各种贱金属硫化物(镍黄铁矿、磁黄铁矿和黄铜矿)中,表明硫砷铱矿可能结晶于早期的含As硫化物熔体,随后被包裹于硫化物熔体冷凝分异产生的单硫化物固溶体(MSS)和中间硫化物固溶体(ISS)中。硫化物熔体中的As可能主要通过地壳混染作用加入幔源岩浆。大量铋钯矿(PdBi)呈微细乳滴状包裹于黄铜矿中,为晚期ISS冷凝形成黄铜矿过程中出溶的产物。少量铋钯矿(PdBi_2)呈不规则状充填于矿物裂隙,与次生磁铁矿脉紧密共生,并随矿石的蚀变程度增加,铋钯矿的化学成分由PdBi逐渐向PdBi_2转变,表明这部分铋钯矿为后期热液蚀变产物。铋碲钯矿和钯的硒化物则主要产出于镍黄铁矿裂隙且与次生磁铁矿紧密共生,指示明显的热液成因。钯的硒化物的出现表明,岩浆期后酸性、高盐度、高氧逸度的富Cl~-流体对金川铜镍硫化物矿床中Pd的迁移和富集起到了关键控制作用。     

南秦岭柞水—山阳矿集区金铜矿床成矿规律与找矿方向

南秦岭柞水—山阳矿集区地质构造和岩浆活动强烈,矿床(点)成群成带分布,成矿条件良好。在长期找矿实践、成矿地质背景分析和典型矿床解剖的基础上,综合研究认为,区内金矿主要受EW向断裂或EW向韧-脆性剪切带与NE向张扭性叠加构造控制,寒武系水沟口组、泥盆系星红铺组与大枫沟组是金的赋矿地层。金矿体呈近EW向大致等间距展布,单个矿体在延伸方向呈透镜状、哑铃状、囊状等,具尖灭再现特征,构造叠加部位矿体厚大、品位较高。区内金矿床类型多为中-低温热液型、远成低温热液型,成矿时代为印支—燕山期。夏家店等已知金矿床深部及外围、区域断裂旁侧次级近EW向与NNE向断裂交汇部位、构造转折端、构造虚脱部位等是寻找金矿的有利靶区。铜矿分布于山阳—凤镇大断裂两侧,成矿类型以斑岩型-矽卡岩型为主,构造热液改造型、隐爆角砾岩型次之。斑岩型-矽卡岩型铜(钼)矿受燕山期构造-岩浆活动控制,赋存于燕山期斑岩体与围岩接触带内;矿体产状多受岩体与围岩接触面控制,呈似层状、透镜状产出。燕山期中酸性小岩体及其与围岩的接触部位、东西向三级断裂带附近是寻找铜(钼)矿的首选靶区。本次研究建立了柞水—山阳矿集区金铜矿床区域成矿模式,总结了找矿标志,通过成矿规律、成矿作用及物探、化探、遥感异常特征系统分析,认为区内找矿潜力巨大,并提出了3片金铜(钼)成矿远景区,指出下一步的找矿方向。     

东昆仑地区驼路沟钴(金)矿床硅质钠长岩锆石U-Pb定年及Hf同位素特征研究

东昆仑驼路沟钴(金)矿床是青海省发现的首个独立大型喷流沉积型矿床,说明容矿围岩为一套海相火山-沉积岩系。本文在野外调查的基础上,对该矿区短沟矿段YM1坑口的硅质钠长岩进行岩石学、LA-ICP-MS锆石UPb年代学及Hf同位素分析。结果表明,区内钠长岩的形成年龄为(457.3±4.6)Ma,佐证了该矿区喷流作用成岩与成矿的同时性;另外获得9.20~1.10 Ga和2.40~2.50 Ga的2个年龄集中区,说明了研究区基底演化和源区物质的复杂性。Hf同位素显示为两个集中区,其中年龄峰值422~459 Ma的锆石获得εHf(t)值为-0.61~12.72,表明锆石母岩主要为新生的地壳物质,指示硅质钠长岩的形成与海底火山喷发作用密切相关;另外0.85~1.10 Ga的锆石εHf(t)值为-15.09~-0.07,其锆石母岩中主要为再造的古老地壳,表明该区基底源区物质的复杂性。通过区域对比分析,认为驼路沟矿区含矿火山-沉积岩系形成时代与钠长岩年龄、成矿年龄非常接近,喷流沉积时代应为晚奥陶世。     

普朗斑岩型铜矿床成矿元素多重分形特征及其矿化强度指示

成矿元素品位的变化受控于长期地质作用过程,具有较强的非线性特征,定量刻画其变化特征有助于深入理解成矿过程,并为找矿预测提供理论依据。运用多重分形去趋势移动均值（MFDMA） 法,分析云南普朗斑岩型铜矿床4号勘探线钻孔Cu元素品位的多重分形特征及其对矿化强度的指示意义。结果显示：所有钻孔Cu元素品位具有多重分形特征,且不同矿化等级的元素分布存在局部奇异性差异,多重分形强度随矿化强度等级减弱而增加;这些特征指示在钾硅化带—带内侧强矿化钻孔的高品位相对聚集,而带外侧角岩化—青磐岩化带的高品位相对分散;通过数据随机重排技术推测Cu品位多重分形结构奇异性差异是由其分布概率密度和长相关性共同作用引起,后者的作用贡献大于前者。