Geochemical Constraints on the Origin of Banded Iron Formation‐Hosted Iron Ore from the Archaean Ntem Complex (Congo Craton) in the Meyomessi Area,Southern Cameroon

Banded iron formations (BIFs) are the most significant source of iron in the world. In this study, we report petrographic and geochemical data of the BIF from the Meyomessi area in the Ntem Complex, southern Cameroon, and discuss their genesis and the iron enrichment process. Field investigations and petrography have revealed that the studied BIF samples are hard; compact; weakly weathered; and composed of magnetite, subordinate quartz, and geothite. The geochemical composition of the whole rock reveals that iron and silica represent more than 98 wt% of the average composition, whereas Al₂O₃, TiO₂, and high‐field strength elements (HFSE) contents are very low, similar to detritus‐free marine chemical precipitates. The total iron (TFe) contents range from 48.71 to 65.32 wt % (average of 53.29 wt %) and, together with the low concentrations of deleterious elements (0.19 wt % P on average), are consistent with medium‐grade iron ores by global standards. This interpretation is confirmed by the SiO₂/Fe₂O_3total versus (MgO + CaO + MnO)/Fe₂O_3total discrimination plot in which most of the Meyomessi BIF samples fall in the field of medium‐grade siliceous ore. Only one sample (MGT94) plots in the high‐grade magnetite–geothite ore domain. The high Fe/Ti (376.36), Fe/Al (99.90), and Si/Al (29.26) ratios of the sample are consistent with significant hydrothermal components. The rare earth elements (REE) contents of the studied BIF samples are very low (∑REE: 0.81–1.47 ppm), and the Post‐Archaean Australian Shale (PAAS)‐normalized patterns display weak positive Eu anomalies (Eu/Eu*: 1.15–1.33), suggesting a syngenetic low‐temperature hydrothermal solutions, similar to other BIF worldwide. However, the Meyomessi BIFs show high Fe contents when compared to the other BIFs. This indicates an epigenetic mineralization process affected the Meyomessi BIF. From the above results and based on the field and analytical data, we propose that the genetic model of iron ores at the Meyomessi area involves two stages of the enrichment process, hypogene enrichment of BIF protore by metamorphic and magmatic fluids followed by supergene alteration as indicated by the presence of goethite in the rocks.     

RS & GIS-based landslide susceptibility mapping of the Balason River basin,Darjeeling Himalaya,using logistic regression (LR) model

The present study deals with the preparation of a landslide susceptibility map of the Balason River basin, Darjeeling Himalaya, using a logistic regression model based on Geographic Information System and Remote Sensing. The landslide inventory map was prepared with a total of 295 landslide locations extracted from various satellite images and intensive field survey. Topographical maps, satellite images, geological, geomorphological, soil, rainfall and seismic data were collected, processed and constructed into a spatial database in a GIS environment. The chosen landslide-conditioning factors were altitude, slope aspect, slope angle, slope curvature, geology, geomorphology, soil, land use/land cover, normalised differential vegetation index, drainage density, lineament number density, distance from lineament, distance to drainage, stream power index, topographic wetted index, rainfall and peak ground acceleration. The produced landslide susceptibility map satisfied the decision rules and ?2 Log likelihood, Cox &; Snell R-Square and Nagelkerke R-Square values proved that all the independent variables were statistically significant. The receiver operating characteristic curve showed that the prediction accuracy of the landslide probability map was 96.10%. The proposed LR method can be used in other hazard/disaster studies and decision-making.     

肥东杂岩的锆石U-Pb年龄及其地质意义——兼论下扬子地区新元古代岩浆活动历史

近年来在下扬子西缘地区厘定的一系列新元古代火成岩,为认识该区扬子板块新元古代岩浆活动历史与规律提供了窗口。结合本次与前人锆石U-Pb年代学数据,指示下扬子地区张八岭群、肥东杂岩与董岭杂岩内变火成岩的原岩时限分别为767~748 Ma、812~745 Ma和829~754 Ma。这些新元古代火成岩分别是峰期为750 Ma、800 Ma和825 Ma岩浆活动的产物。下扬子地区峰期为825 Ma的岩浆活动只出现在靠近江南造山带的南部。锆石年代学信息显示,下扬子地区还发生过峰期为840 Ma、2010 Ma和2454 Ma岩浆活动,但缺失1000~860 Ma的岩浆活动。通过区域对比表明,攀西—汉南弧没有延入下扬子地区。下扬子地区南部受到峰期为840 Ma的弧岩浆活动的影响。扬子板块上峰期为825 Ma的岩浆活动及早阶段的南华裂谷应是江南造山带后造山伸展的产物;而峰期为800 Ma和750 Ma的岩浆活动与相应的南华裂谷扩展,代表了Rodinia超大陆裂解的全面影响。     

关于巴罗式变质带的最新研究及其对研究秦岭杂岩的意义

本文对苏格兰高地Grampian造山运动中产生的经典巴罗变质带进行了讨论,重点介绍了近年来关于其变质作用的特征及发生机制认识方面的重大变化。强调巴罗变质作用仅发生在整个造山运动过程中的部分时段,纪录了短暂的加热过程,时空上与区域内大规模的双峰式岩浆活动有关。经典的巴罗变质系列并非形成于地壳增厚及其热弛豫,而是代表了中地壳内大规模的接触变质作用。参考经典地区的变质特征,对发育巴罗式变质作用的秦岭杂岩进行了初步对比分析,指出其中与夕线石有关的变质P-T-t轨迹可能是等压冷却过程,而不是等温降压的顺时针演化模式。秦岭杂岩的变质作用时间仍需要进一步准确厘定。结合其它相关地质特征的分析和对比,得出如下推论:巴罗式变质带发育地区的变质作用、混合岩与花岗岩均属于同一动力系统作用的结果,花岗质岩体不是变质作用的原因;基性岩浆可能提供了巴罗式变质作用发生所需要的热能,但不是必要条件;巴罗式变质作用可以发生在正常地壳厚度情况下,不是碰撞构造的标志;伴随热异常的变形过程中产生了变质带的梯度分布(巴罗式变质带)和一些花岗岩,形成类似于底辟的冲起构造。     

塔里木板块东北缘坡北杂岩体矿物成分和铂族元素特征:对硫化物熔离和构造环境的约束

坡北杂岩体位于塔里木板块东北缘北山裂谷带,主要由橄榄岩相、单辉辉石岩相、二辉岩相、辉长岩相、苏长岩相和辉长苏长岩相组成。坡一岩体中硫化物矿体赋存于超镁铁质岩中,而坡东岩体中硫化物矿体赋存于辉长苏长岩相中。坡一和坡东岩体不同岩相中单斜辉石的MgO和CaO含量、斜长石的An值和SiO_2含量连续变化且呈负相关,说明二者可能是同一原始岩浆分离结晶的产物。根据前人计算的原始岩浆成分,我们利用MELTS软件模拟了坡北杂岩体的分离结晶过程。结果表明矿物结晶顺序为:橄榄石→橄榄石+单斜辉石→橄榄石+单斜辉石+斜长石→单斜辉石+斜长石+斜方辉石,与岩相观察一致。坡北杂岩体原始岩浆经过20%分离结晶达到S饱和而发生早期硫化物熔离,形成坡一岩体中矿体。因此,在利用具有最高Fo值(90.9mol%)的橄榄石成分进行的模拟中,坡一岩体早期结晶的纯橄榄岩中橄榄石成分与分离结晶趋势线一致,而斜长橄榄岩中橄榄石成分低于趋势线,可能形成于早期硫化物熔离之后。随后岩浆中S再一次不饱和,但坡一岩体橄榄单辉辉石岩和辉长岩中橄榄石Fo和Ni含量在分离结晶趋势线之下,同时坡东岩体不含矿岩石中铂族元素总量主要在8.9×10~(-9)～29.0×10~(-9)之间,且相对于Ni和Cu明显亏损,说明在岩浆分离结晶晚期再次发生硫化物熔离,而且可能是地壳混染引起的,并形成了坡东岩体中的硫化物矿体。坡东岩体橄榄二辉岩和橄榄辉长苏长岩中橄榄石Fo值(74.5mol%～81.0mol%)较低,但变化范围较大,且Fo和Ni呈负相关关系,这可能是由于橄榄石和硫化物熔体在不平衡状态下发生成分交换造成的。坡北杂岩体超镁铁质岩石中单斜辉石Ti O2含量为0.21%～0.83%,阳离子中呈四次配位的Al(AlZ)为0.8mol%～7.8mol%,与裂谷环境堆晶岩中单斜辉石成分相似。因此,坡北杂岩体可能形成于和塔里木二叠纪地幔柱活动相关的裂谷环境。然而,超镁铁质岩石全岩Nd同位素指示其来源于亏损地幔,并不是地幔柱物质熔融的直接产物。纯橄榄岩和异剥橄榄岩La/Sm,Sm/Yb和La/Yb比值指示其源区为尖晶石二辉橄榄岩地幔。因此,坡北杂岩体源区应为浅部以尖晶石二辉橄榄岩为主的亏损岩石圈地幔,地幔柱在源区部分熔融过程中提供了大量的热。     

滇西澜沧岩群碎屑锆石U-Pb定年及其地质意义

虽然前人对澜沧岩群做了大量的研究,但缺乏同位素年代学方面的研究。此次研究针对澜沧江南段菖蒲塘-大田山地区澜沧岩群绢白云母石英片岩进行碎屑锆石U-Pb定年,为澜沧岩群的形成时代增添年代学证据。极大多数(129粒)锆石阴极发光(CL)图像显示其有明显的结晶振荡环带,指示其为岩浆成因的碎屑锆石,129粒碎屑锆石具有多组峰值年龄,最年轻一组年龄加权平均值为452±26Ma,表明澜沧岩群最早沉积时限不早于452±26Ma;极少数(1粒)锆石具弱阴极发光,缺乏内部结构特点,认为其为变质重结晶锆石,变质结晶锆石U-Pb年龄为255±3Ma,与前人研究所得澜沧岩群变质时代基本吻合。综合分析,澜沧岩群的沉积时限不早于452±26Ma,在二叠纪末期可能发生变质作用。     

基于梯度提升算法的岩性识别方法

传统的岩性识别方法如岩屑录井、钻井取心及测井资料解释等技术,对录井质量的依赖程度较高,识别精度与效率低,泛化能力差。随着计算机技术的迅速发展,将测井资料与计算机技术相结合开展岩性研究已成为岩性识别的有效手段。本文提出了一种基于梯度提升算法XGBoost和LightGBM的岩性识别方法。以苏里格气田苏东41-33区块下碳酸盐岩储层为例进行测试验证,采用该方法结合测井资料中的声波时差、自然伽马、光电吸收截面指数、密度、深侧向电阻率和补偿中子等6种参数进行岩性识别,并与KNN （K近邻分类器）、朴素贝叶斯和支持向量机等传统算法进行对比,结果表明,3种传统算法的岩性识别准确率分别为78.45%、74.43%和78.72%,基于梯度提升算法XGBoost和LightGBM的识别准确率分别达到了98.90%和98.72%,远高于传统算法。     

一种基于机器学习算法的岩性填图方法

通过野外地质调查与机器学习方法的有机融合,提出了一种基于梯度提升决策树算法的岩性单元填图方法。研究以多龙矿集区为模型试验区,选择1∶5万勘查地球化学数据为基础预测数据,以1∶5万区域地质图为参考,进行基于梯度提升决策树算法的岩性预测填图模型试验。首先选择研究区内小范围空白区开展野外填图,建立原始数据集并初步构建岩性单元与预测数据对应关系;其次利用机器学习方法对预测数据进行多分类任务,进而开展目标填图区预测填图工作;最后通过概率选区选定概率较低目标区,开展进一步的小范围野外地质调查填图,对原始数据和知识库进行补充,迭代循环以上流程,直至预测填图达到要求。试验显示,随着迭代次数的增加,模型精度不断提高,并在7次迭代后模型准确率达到87%。该方法强调在实际应用中野外地质调查与基于机器学习预测填图的深度融合,以及野外实地工作在整个流程中的重要性和不可或缺性;同时能够充分挖掘已有数据资料的有用信息,用于辅助修正已有岩性填图内容,或根据已勘探区资料对邻近的未勘探区进行岩性分类,有效减少野外填图工作量,是对岩性填图方法、地质单元定量预测识别的有益探索,为区域地质填图工作提供了新的参考思路和辅助手段。      

Landslide susceptibility zonation method based on C5.0 decision tree and K-means cluster algorithms to improve the efficiency of risk management

Machine learning algorithms are an important measure with which to perform landslide susceptibility assessments,but most studies use GIS-based classification methods to conduct susceptibility zonation.This study presents a machine learning approach based on the C5.0 decision tree(DT)model and the K-means cluster algorithm to produce a regional landslide susceptibility map.Yanchang County,a typical landslide-prone area located in northwestern China,was taken as the area of interest to introduce the proposed application procedure.A landslide inventory containing 82 landslides was prepared and subse-quently randomly partitioned into two subsets:training data(70％landslide pixels)and validation data(30％landslide pixels).Fourteen landslide influencing factors were considered in the input dataset and were used to calculate the landslide occurrence probability based on the C5.0 decision tree model.Susceptibility zonation was implemented according to the cut-off values calculated by the K-means clus-ter algorithm.The validation results of the model performance analysis showed that the AUC(area under the receiver operating characteristic(ROC)curve)of the proposed model was the highest,reaching 0.88,compared with traditional models(support vector machine(SVM)=0.85,Bayesian network(BN)=0.81,frequency ratio(FR)=0.75,weight of evidence(WOE)=0.76).The landslide frequency ratio and fre-quency density of the high susceptibility zones were 6.76/km2 and 0.88/km2,respectively,which were much higher than those of the low susceptibility zones.The top 20％interval of landslide occurrence probability contained 89％of the historical landslides but only accounted for 10.3％of the total area.Our results indicate that the distribution of high susceptibility zones was more focused without contain-ing more"stable"pixels.Therefore,the obtained susceptibility map is suitable for application to landslide risk management practices.     

北京“623”大暴雨的强降水超级单体特征和成因研究

本文利用雷达、加密地面自动站等高时空分辨率的观测资料,结合NCEP 1°×1°再分析资料、常规观测等资料,对2011年6月23日发生在北京城区的极端强降水事件开展了细致的观测和诊断分析。结果表明,这次极端强降水事件,主要是由向东南移动的东北—西南走向的飑线右端的强降水超级单体（High Precipitation Supercell,简称HPS）造成的,这是目前已有文献记载的中国发生纬度最高的HPS。HPS在移动方向的右后侧和右前侧均有明显的“V”型入流,这不同于已有HPS模型,表明中、低层干冷空气和低层暖湿气流特征显著。在环境条件方面,存在对流层低层逆温层,其能量存储盖作用使得雷暴具有爆发性增强的潜势,但该逆温层是在08:00～14:00（北京时,下同）的6小时内形成的,对业务预报极具挑战性。相对其他大气层结热动力参数, 风暴相对螺旋度和粗理查逊数在14:00较08:00显著增大,对HPS的发生具有一定指示作用。高空偏西风急流和低层偏东风活动显著,使得北京地区的水平风垂直切变增强,形成上干下湿的对流不稳定以及次级环流圈。高空急流造成强烈的相当位温差动平流,促进对流不稳定度发展加强。结合复杂地形作用,在北京西部100 m地形高度线附近形成显著的平原暖湿空气与山地干冷空气的干湿分界线以及风场辐合线。水汽供应主要源自低层偏东风和本地水汽积累。当飑线从西北方向侵入北京并向东南方向移动时,在北部山区,由于条件不足,雷暴没有显著发展加强;然而,在西部山区,在湖面、城市热岛、低层偏东风、冷池出流共同作用下,加之其他有利的环境条件,飑线右端雷暴强烈发展加强,特别是当经过100 m地形高度线附近时发展成为HPS,进而造成石景山区模式口站的大暴雨中心。