海南抱伦金矿区辉绿岩脉的成因及其对金成矿的启示

海南抱伦金矿区的金矿脉与大量辉绿岩脉在空间上紧密相关。在详细的野外地质调查基础上,本文对这些辉绿岩脉开展了岩相学和矿相学观察、全岩主量和微量元素分析、Sm-Nd同位素组成分析、金丰度分析以及SHRIMP锆石U-Pb定年,初步探讨了辉绿岩脉的成因、岩浆演化和构造背景以及与金成矿作用的关系。地球化学分析结果表明,辉绿岩脉形成于拉斑玄武质岩浆,主要为左倾型的稀土配分模式;相对N-MORB,富集Sr、K、Rb和Ba等LILE和Th,亏损HFSE,ε_(Nd)(t)为0. 3～5. 6,说明岩浆源区为受到俯冲带含水流体影响和少量地壳混染的亏损地幔。辉绿岩脉的SHRIMP锆石U-Pb年龄为231. 6±2. 6Ma,与尖峰岭花岗质岩体的年龄(236±3. 5Ma～249±5Ma)相近,产出位置相邻,类似于海南兴隆地区的双峰式侵入岩,表明它们产出于造山后伸展环境。辉绿岩脉对应的岩浆富含CO_2、H_2O、F、K、Rb、Ba和适量的S,为抱伦金矿等单金矿床中Au的合适载体。金丰度分析结果表明,辉绿岩脉中的Au曾被活化迁移。再结合辉绿岩脉成岩年龄与抱伦矿区的成矿年龄在误差范围内一致的特征,认为抱伦金矿的Au可能来源于辉绿岩脉。     

山东省沂源县金星头勘查区地质地球化学特征及找矿前景分析

山东省沂源县金星头地处沂源-沂南金及多金属成矿带北部,该成矿带位于中国东部矽卡岩金多金属矿带中北部,属于环太平洋带组成部分。通过对该区的地质、地球化学特征等分析,运用1∶1万土壤地球化学测量方法,发现了一批以Au为主的化探异常,对部分异常运用岩石地球化学测量和探槽进行查证,发现具有工业品位的金铜矿（化）体5处,提出下一步找矿的工作重点地段,即在中生代燕山晚期中偏碱性或中酸性侵入杂岩体与寒武纪朱砂洞组、馒头组白云岩、灰岩等接触部位及两侧寻找接触交代型（矽卡岩）金铜矿床。     

滇西北衙铁金多金属矿床成矿地质特征及其两阶段成矿过程研究——以万硐山矿段为例

滇西北衙铁金多金属矿床为西南三江富碱斑岩-多金属成矿带中南段典型矿床之一,成矿严格受富碱斑岩及其相关的深大断裂控制,伴随多期富碱斑岩脉体侵入、热液交代与围岩蚀变、矿物质富集及次生富集过程,构成了复杂的斑岩-矽卡岩成矿系统和地表次生成矿系统。文章以万硐山露天采场区大比例尺地质填图为基础,重新厘定和梳理各地质体及其间相互关系,取得了万硐山矿段详细的成矿地质特征及原生矿化的两阶段成矿新认识。     

铀矿资源勘查三维电阻率采集系统与应用研究

LQC-Ⅱ三维电阻率采集系统采用多子站、分布式智能电极设计思路,实现了多通道同时快速并行采集,通过16个子站排列组合实现了大深度的勘查要求。文章对LQC-Ⅱ型三维电阻率测量系统的基本原理、工作方法和技术作了概括性论述。利用该仪器进行了野外试验研究,对采集数据进行了三维反演,得到的水平方向和垂直方向电阻率切片均与钻孔资料吻合。     

合肥温泉之乡半汤地热成因模式及其外围地热前景探讨

本文在前人勘查与研究的基础上,进一步分析研究半汤地热的热源,地热成因机制及成因模式等,进而提出了“基底隆起（正向构造）聚热型地热成因模式”形成有开发利用价值的半汤外围前景地热资源新学术观点为半汤地热外围前景地热资源勘查与评价提出指导方向靶区。利用新学术观点,试图突破就热找热原则的瓶颈和禁锢,变被动找热为主动找热,扩大地热资源勘查的视野。为加快绿色、环保,可再生的地热能源勘查步伐,开辟新途径。     

重庆城口地区早前寒武系黑色岩系研究:(1)铂族元素成矿潜力评估

重庆城口地区从震旦统到下寒武统发育有丰富的黑色岩系,20世纪末期在该地区黑色岩系中开展了大量的铂族元素(PGE)的找矿工作,但是由于种种原因,关于该地区是否存在PGE矿化异常,还没有得到最终的结论.本次研究在PGE分析方法论证的基础上,进行了大量样品的PGE分析和微量元素分析.主要结论如下①区域上上震旦统槽区和断块区两套黑色岩系在原始的沉积环境和物源供给上有较大的差异,虽然槽区上震旦统的黑色岩系具有和下寒武统黑色岩系相似但强度较低的V-Cu-Y-Mo-U异常,但基本上不具有明显的PGE-Au-Ag异常.②断块区水井沱组黑色岩系和平剖面西段新发现的U-V-Mo-PGE异常可能是今后工作的重点,Pt＋Pd最高达248.9×10-9,局部U-V都达到了工业品位.③槽区巴山组硅质岩四个剖面都揭示了在硅质岩中广泛存在连续的PGE异常,87个碳质硅质岩平均含Pt＋Pd 57.2×10-9,有10个样品Pt Pd》100×10-9,最高达196.5×10-9;大部分碳质硅质岩都具有不同程度的V-Cu-Y-Mo-Tl-U组合异常,V都达到了独立矿床的品位要求,其中猪草河、燕子河等剖面还存在厚度较大的富矿地段,特别是燕子河剖面,局部还存在REE＋Y的高异常,值得深入研究.④城巴地区下寒武统黑色岩系存在广泛的PGE异常,但没有达到PGE的矿化要求,建议加强该地区的钒矿和铀矿勘探研究,PGE可以综合评价.     

XEPOS型偏振能量色散X射线荧光光谱仪分析蒙古铁矿石

以熔融玻璃片和粉末压片制样,采用XEPOS型偏振能量色散X射线荧光光谱仪,建立了铁矿石中总铁、氧化钙、氧化镁、二氧化硅、三氧化二铝、硫、磷、铜等组分的快速分析方法。着重讨论硫、磷两元素测定的可行性和Lucas-Tooth、Price数学校正模型的适应性和改善方法的途径。     

The 2020/21 Extremely Cold Winter in China Influenced by the Synergistic Effect of La Niña and Warm Arctic

In the first half of winter 2020/21,China has experienced an extremely cold period across both northern and southern regions,with record-breaking low temperatures set in many stations of China.Meanwhile,a moderate La Ni?a event which exceeded both oceanic and atmospheric thresholds began in August 2020 and in a few months developed into its mature phase,just prior to the 2020/21 winter.In this report,the mid?high-latitude large-scale atmospheric circulation anomalies in the Northern Hemisphere,which were forced by the negative phase of Arctic Oscillation,a strengthened Siberian High,an intensified Ural High and a deepened East Asian Trough,are considered to be the direct reason for the frequent cold surges in winter 2020/21.At the same time,the synergistic effect of the warm Arctic and the cold tropical Pacific(La Ni?a)provided an indispensable background,at a hemispheric scale,to intensify the atmospheric circulation anomalies in middle-to-high latitudes.In the end,a most recent La Ni?a prediction is provided and the on-coming evolution of climate is discussed for the remaining part of the 2020/21 winter for the purpose of future decision-making and early warning.     

最佳子集多元线性回归模型在热带气旋风圈 变化预报中的应用

基于最佳路径(IBTrACS)数据集和欧洲中期天气预报中心(ECMWF)的再分析(ERA-Interim)数据,建立了西北太平洋上(Western North Pacific,WNP)热带气旋(Tropical Cyclone,TC)的七级风圈(R17)变化的最佳子集多元线性回归(bs-MLR)模型.首先根据2001～...     

A Comparison of Four Precipitation Distribution Models Used in Daily Stochastic Models

Stochastic weather generators are statistical models that produce random numbers that resemble the observed weather data on which they have been fitted; they are widely used in meteorological and hydrologi- cal simulations. For modeling daily precipitation in weather generators, first-order Markov chain-dependent exponential, gamma, mixed-exponential, and lognormal distributions can be used. To examine the perfor- mance of these four distributions for precipitation simulation, they were fitted to observed data collected at 10 stations in the watershed of Yishu River. The parameters of these models were estimated using a maximum-likelihood technique performed using genetic algorithms. Parameters for each calendar month and the Fourier series describing parameters for the whole year were estimated separately. Bayesian infor- mation criterion, simulated monthly mean, maximum daily value, and variance were tested and compared to evaluate the fitness and performance of these models. The results indicate that the lognormal and mixed-exponential distributions give smaller BICs, but their stochastic simulations have overestimation and underestimation respectively, while the gamma and exponential distributions give larger BICs, but their stochastic simulations produced monthly mean precipitation very well. When these distributions were fitted using Fourier series, they all underestimated the above statistics for the months of June, July and August.