中国蛇绿岩清理——兼论蛇绿岩研究的新思路

中国蛇绿岩研究取得了很大的成绩,也存在许多问题。文中简要评述了日喀则、三江、青海、北秦岭、中亚造山带、东北以及中国南方蛇绿岩的若干问题,指出中国划归入蛇绿岩的地质体（组合）太多了,把许多可能不是蛇绿岩的地质体（组合）也当成了蛇绿岩。当前需要做的是去伪存真,对中国蛇绿岩进行一次认真的清理。文中指出,地幔橄榄岩无疑是蛇绿岩最重要的成员,它来自洋壳下。世界上还有另一类来自陆壳下的地幔岩,被称为“造山橄榄岩”。因此,地幔橄榄岩并非蛇绿岩所独有。此外,有越来越多的数据表明,在许多不同的构造背景下都可以出现类似MORB（大洋中脊玄武岩）地球化学性质的玄武岩,例如洋岛、岛弧、大陆溢流玄武岩、板内玄武岩以及太古宙（拉斑玄武岩和科马提岩）等。因此,不能简单地认为一个地区只要有了地幔橄榄岩和MORB就是蛇绿岩了。文中回顾了蛇绿岩研究的两个发展阶段：前一个阶段以1972年的彭罗斯会议为标志,开启了蛇绿岩研究的新篇章,当时的学术界主要关注蛇绿岩的岩石学和地球化学问题,关心蛇绿岩的岩石组合。新的阶段是从20世纪后期逐渐发展起来的,于近期取得了突出的进展。笔者等强调指出,蛇绿岩（野外出露更多的是蛇绿混杂岩）即蛇绿岩套,它不仅包括一个特定的岩石组合,还包括深海沉积。文中肯定了中外学术界在蛇绿岩构造研究方面获得的许多新发现、新思路和新进展。此外,大数据和地球物理方法也是非常有意义的。蛇绿岩是一个复杂体系,不确定的问题相当多。它们的解决需要构造地质学家、地层学家、古生物学家、岩石学家、地球化学家、年代学家以及地球物理学家的共同努力。     

应用微束分析技术研究铜钴矿床中钴的赋存状态

微束分析技术能够在微米-纳米尺度上精确分析矿石矿物的物相、形貌、结构、成分以及同位素组成,为地球科学精细研究提供重要技术支撑。本文利用多种微束分析技术的自身优势,综合运用微区X射线荧光光谱(micro-XRF)、偏光显微镜、电子探针(EPMA)以及激光剥蚀电感耦合等离子体质谱(LA-ICP-MS)分析技术,建立了一种简单直观且全面快速鉴别钴赋存状态的技术方法。首先采用偏光显微镜选出部分代表性的探针片,然后进行微区X射线荧光光谱面扫描,获得探针片中钴及组合元素分布规律及特征,再利用偏光显微镜细致观察鉴别,结合元素分布特征规律识别出独立钴矿物以及含钴矿物,最后圈出代表性矿物并采用电子探针和LA-ICP-MS进行主微量化学成分测定。将该方法应用于中非铜钴成矿带上典型铜钴矿床中钴的赋存状态研究,查明了谦比希东南矿体中的钴主要以独立矿物(钴镍黄铁矿、硫钴矿、硫铜钴矿)和类质同象(主要赋存于黄铁矿、磁黄铁矿中)两种形式存在,而谦比希西矿体中的钴主要以独立矿物——硫铜钴矿的形式零星存在。     

Identification of different types of harzburgites and their lithofacies zonation in ophiolites : Evidence from the special geological survey of Dingqing ophioliteSCIEI北大核心CSCD

The ophiolite is an ancient oceanic lithosphere remnant emplaced on the continent, and it is the direct carrier to record the ancient ocean basin from formation to demise. Therefore, the study of ophiolite can provide strong evidence for revealing and restoring the tectonic system and evolution history of ancient oceans and continents. The field geological survey and mapping for ophiolite are the basis for the research on the petrogenesis of chromite, peridotite and oceanic crust units. According to the characteristics of mineral composition, structure and mineral chemistry of harzburgites in Dingqing ophiolite, it is divided into massive, inhomogeneous, pyroxene-oriented, spherulitic and mylonitized harzburgite. Five types of harzburgite were discovered for the first time in the Laraka survey area through 1 : 50000 special geological mapping, and there were obvious lithofacies zoning characteristics in the area of five types of harzburgites. The massive harzburgite lithofacies belts are distributed in the middle of the Laraka survey area, and the inhomogeneous harzburgite lithofacies appear symmetrically on both sides. A small amount of pyroxene-oriented harzburgite lithofacies is distributed in the interior or edge of massive harzburgite facies belt in a lenticular shape, and the production of a very small amount of spheroidal harzburgite is related to basic intrusive rocks. The mylonitized harzburgite lithofacies belt is a slender strip outcropping on the southern margin of the peridotite massif. There is a certain spatial correlation between the distribution, type and scale of chromite deposits or mineralization points and the peridotite facies zoning. More than 20 high -chromium -type chromite deposits are distributed in the inhomogeneous harzburgite, but the massive harzburgite lithofacies have few chromite deposits or mineralizations. The A -A' peridotite lithofacies measured profile in the Lallaka survey area and its corresponding mineral chemical profile further confirm the existence of lithofacies zoning. Cr-spinels in different types of harzburgites show different mineral chemical characteristics. The Cr-# of Cr-spinel in massive harzburgite, in inhomogeneous harzburgite, in pyroxene oriented harzburgite and in the spheroidal harzburgite is 65. 59 similar to 69. 37, 49. 99 similar to 57. 86, 75.19 similar to 85.24 and 57.66 similar to 80.04, respectively. The Cr# of Cr-spinel in inhomogeneous -> massive -> pyroxene-oriented harzburgite gradually increases from 49. 99 to 85.24, indicating that these harzburgite have experienced 23% similar to 43% medium -high partially melted. The mineral chemistry data of massive and pyroxene-oriented harzburgite in the mineral chemistry diagram both fall in the fore -arc peridotite environment, and the inhomogeneous harzburgite falls in the overlapping area of deep-sea and fore -arc peridotite. The Fo of olivine in the spherulite harzburgite is 86.43% similar to 87.05%, and the En of orthopyroxene is 84.66% similar to 85.78%, which are bronzite, indicating magmatic origin. The mylonitized harzburgite is the result of tectonic emplacement of the massif. Different types of peridotite and their lithofacies zoning were identified in the Dingqing ophiolite, which provides a new idea for us to deeply study the multi -stage magmatism of the oceanic lithosphere and the genesis of peridotite and chromite.     

中国岩相古地理研究进展

我国的岩相古地理研究大致经历了三个大的发展时期。初期阶段：20世纪80年代以前,主体是以古生物地层学的理论为指导编制出版大区域的古地理图集,集中反映海陆分布,岩相内容较少,较少的学者开展了岩相古地理研究,揭开了由古地理图向岩相古地理图转变的序幕。快速发展阶段：20世纪80年代至2000年,总体上是以大地构造学、古生物地层学、沉积学等理论为指导,开展了大量的岩相古地理研究与编图工作,并采取多种编图思路和方法编制大区域的岩相古地理图,是我国岩相古地理研究与编图大发展时期,形成了丰硕的理论和实践成果。编制的图件不仅尽量体现活动性古地理的学术前沿,而且更多的是强化实用性,聚焦对沉积层控矿产远景预测和油气勘探的支撑和指导作用。现代阶段：2000年至今,岩相古地理研究与编图聚焦支撑油气地质调查与勘探成为了这段时间的主题,采取不同的编图思路和方法编制出版了大区域的岩相古地理图。具有三大特点：一是编图资料丰富,技术方法新颖;二是编图思路先进,体现了以构造为主线,岩相古地理恢复为核心,支撑服务油气为根本的研究思路;三是以服务油气目标为特色。由于大数据、人工智能等信息技术突飞猛进促进大数据岩相古地理向前发展,数字岩相古地理必将推动我国在岩相古地理编图思路和技术方法的创新,提升支撑服务沉积矿产找矿和油气勘探开发的精准性和预测性水平。     

U-Th-Pb dating of garnet based on LAICP-MS mapping technology: A case study of the Tonglvshan large-scale Cu -Fe-Au skarn depositSCIEI北大核心CSCD

矽卡岩矿床的年代学信息对研究矽卡岩矿床的矿床成因、演变过程、成矿规律和找矿勘查具有重要的指示意义。石榴子石是矽卡岩矿床中的常见矿物,它具有一定的U含量,但是由于其普通铅高以及铀分布不均一的原因,导致激光剥蚀电感耦合等离子体质谱仪(LA-ICP-MS)点分析获得年龄成功率不高。针对点分析定年遇到的深度分馏和剥蚀点选取、普通铅校正等问题,本文提出一种利用LA-ICP-MS面扫描分析数据的虚拟点构建技术,在Tera-Wasserburg(TW)图中实现普通铅校正来确定含普通铅石榴子石年龄。通过理论推导、数值模拟和实验分析研究发现,利用相关联的^(208)Pb、^(232)Th、^(238)U测量数据校正生成^(208)Pb_(c)/^(238)U指标并据此对TW图中的数据进行数据分组抽样构造虚拟测量点,可以有效地把面扫描测量数据转换为与点分析测量类似但放射母子比例展布更优的数据。利用此方法对长江中下游成矿带鄂东矿区铜绿山大型Cu-Fe-Au矽卡岩矿床石榴子石进行面扫描分析。仅使用15min的样品面扫描数据,在获得了微量元素含量分布的同时,也获得了同位素比值虚拟点,交点年龄为139.2±2.9Ma(MSWD=0.7,n=126),与前人矿床研究结果相一致,验证了此方法的可行性。利用LA-ICP-MS面扫描定年技术不仅可以获得样品元素含量的二维分布图,有利于对样品期次的筛选,剔除包裹体等异常数据;还可以避免点分析中深度分馏和繁复的选点流程及二次分析等步骤,在获得样品元素含量分布的同时获得矿物年龄,为当前矽卡岩型矿床相关的关键金属研究提供了更为便捷的方法。     

Genetic mapping and QTL analysis for body weight in Jian carp (Cyprinus carpio var. Jian) compared with mirror carp (Cyprinus carpio L.)

We report the genetic linkage map of Jian carp(C yprinus carpio var. Jian). An F1 population comprising 94 Jian carp individuals was mapped using 254 microsatellite markers. The genetic map spanned 1 381.592 c M and comprised 44 linkage groups,with an average marker distance of 6.58 c M. We identified eight quantitative trait loci(QTLs) for body weight(BW) in seven linkage groups,explaining 12.6% to 17.3% of the phenotypic variance. Comparative mapping was performed between Jian carp and mirror carp( Cyprinus carpio L.),which both have 50 chromosomes. One hundred and ninety-eight Jian carp marker loci were found in common with the mirror carp map,with 186(93.94%) showing synteny. All 44 Jian carp linkage groups could be one-to-one aligned to the 44 mirror carp linkage groups,mostly sharing two or more common loci. Three QTLs for BW in Jian carp were conserved in mirror carp. QTL comparison suggested that the QTL confidence interval in mirror carp was more precise than the homologous interval in Jian carp,which was contained within the QTL interval in Jian carp. The syntenic relationship and consensus QTLs between the two varieties provide a foundation for genomic research and genetic breeding in common carp.     

Classification of vegetation in an open landscape using full-waveform airborne laser scanner data

Airborne laser scanning (ALS) is increasingly being used for the mapping of vegetation, although the focus so far has been on woody vegetation, and ALS data have only rarely been used for the classification of grassland vegetation. In this study, we classified the vegetation of an open alkali landscape, characterized by two Natura 2000 habitat types: Pannonic salt steppes and salt marshes and Pannonic loess steppic grasslands. We generated 18 variables from an ALS dataset collected in the growing (leaf-on) season. Elevation is a key factor determining the patterns of vegetation types in the landscape, and hence 3 additional variables were based on a digital terrain model (DTM) generated from an ALS dataset collected in the dormant (leaf-off) season. We classified the vegetation into 24 classes based on these 21 variables, at a pixel size of 1 m. Two groups of variables with and without the DTM-based variables were used in a Random Forest classifier, to estimate the influence of elevation, on the accuracy of the classification. The resulting classes at Level 4, based on associations, were aggregated at three levels — Level 3 (11 classes), Level 2 (8 classes) and Level 1 (5 classes) — based on species pool, site conditions and structure, and the accuracies were assessed. The classes were also aggregated based on Natura 2000 habitat types to assess the accuracy of the classification, and its usefulness for the monitoring of habitat quality. The vegetation could be classified into dry grasslands, wetlands, weeds, woody species and man-made features, at Level 1, with an accuracy of 0.79 (Cohen’s kappa coefficient, κ). The accuracies at Levels 2–4 and the classification based on the Natura 2000 habitat types were κ: 0.76, 0.61, 0.51 and 0.69, respectively. Levels 1 and 2 provide suitable information for nature conservationists and land managers, while Levels 3 and 4 are especially useful for ecologists, geologists and soil scientists as they provide high resolution data on species distribution, vegetation patterns, soil properties and on their correlations. Including the DTM-based variables increased the accuracy (κ) from 0.73 to 0.79 for Level 1. These findings show that the structural and spectral attributes of ALS echoes can be used for the classification of open landscapes, especially those where vegetation is influenced by elevation, such as coastal salt marshes, sand dunes, karst or alluvial areas; in these cases, ALS has a distinct advantage over other remotely sensed data.     

Detecting subpixel deciduous components to complement traditional land cover classifications in Southwest Finland

To ensure successful conservation of ecological and cultural landscape values, detailed and up-to-date spatial information of existing habitat patterns is essential. However, traditional satellite-based and raster classifications rely on pixels that are assigned to a single category and often generalized. For many fragmented key habitats, such a strategy is too coarse and complementary data is needed. In this paper, we aim at detecting pixel-wise fractional coverage of broadleaved woodland and grassland components in a hemiboreal landscape. This approach targets ecologically relevant deciduous fractions and complements traditional crisp land cover classifications. We modeled fractional components using a k-NN approach, which was based on multispectral satellite data, assisted by a digital elevation model and a contemporary map database. The modeled components were then analyzed based on landscape structure indicators, and evaluated in conjunction with CORINE classification. The results indicate that both broadleaved forest and grassland components are widely distributed in the study area, principally organized as transition zones and small patches. Landscape structure indicators show a substantial variation based on the fractional threshold, pinpointing their dependency on the classification scheme and grain. The modeled components, on the other hand, suggest high internal variation for most CORINE classes, indicating their heterogeneous appearance and showing that the presence of deciduous components in the landscape are not properly captured in a coarse land cover classification. To gain a realistic perception of the landscape, and use this information for the needs of spatial planning, both fractional results and existing land cover classifications are needed. This is because they mutually contribute to an improved understanding of habitat patterns and structures, and should be used to complement each other.     

道路网络示意图的多边形生长算法

道路网络示意图是实体网络的抽象表示,因其更加符合人的认知习惯,在地图服务与地图制图领域已得到初步应用。以路径为单位的网络示意图自动生成算法只顾及节点与线段的局部布置,且较难以维护网络拓扑一致性。本文以闭合多边形(网眼)为基本单位,利用网眼的独立性与邻接性,提出了多边形生长算法,核心思想是将道路网络分类为闭合多边形与非闭合线段,以闭合多边形提取、映射、优化为主线,辅助组合非闭合线段。算例分析验证,本算法在网络均衡分布及拓扑一致性方面具有优势。     

Landsat8和MODIS融合构建高时空分辨率数据识别秋粮作物

本文利用Wu等人提出的遥感数据时空融合方法 STDFA(Spatial Temporal Data Fusion Approach)以Landsat 8和MODIS为数据源构建高时间、空间分辨率的遥感影像数据。以此为基础,构建15种30 m分辨率分类数据集,然后利用支持向量机SVM(Support Vector Machine)进行秋粮作物识别,验证不同维度分类数据集进行秋粮作物识别的适用性。实验结果显示,不同分类数据集的秋粮作物分类结果均达到了较高的识别精度。综合各项精度指标分析,Red+Phenology数据组合对秋粮识别效果最好,水稻识别的制图精度和用户精度分别达到91.76%和82.49%,玉米识别的制图精度和用户精度分别达到85.80%和74.97%,水稻和玉米识别的总体精度达到86.90%。