兴蒙造山带中与古亚洲洋演化有关的成矿系统初步研究

古亚洲洋演化过程中在兴蒙造山带中形成了大量金属矿床。早古生代早期,古亚洲洋向北俯冲,形成了奥陶纪多宝山-铜山斑岩Cu-Au成矿系统;早古生代晚期,古亚洲洋向南俯冲并形成了晚奥陶世白乃庙Cu-Mo-Au成矿系统和志留纪别鲁乌图海底喷流块状硫化物成矿系统。古亚洲洋在晚古生代早期向北俯冲,形成了晚泥盆世欧玉陶勒盖Cu-Au成矿系统。基本同时,古亚洲洋向南俯冲,形成了晚泥盆世哈达门沟Mo成矿系统。早石炭世,研究区构造体制从岛弧环境逐渐转变为陆内伸展环境,并在此过程中形成了豆荚状铬铁矿成矿系统和小型斑岩Mo-Cu成矿系统。     

中国硼矿床成矿规律概要与找矿远景分析

硼矿是重要的化工矿产资源,广泛应用于玻璃工业、陶瓷工业、洗涤剂和农用化肥。2014年至今,中国地质调查局组织编写的中国矿产地质志,全面总结了中国硼矿的资源特征和成矿规律。文章依托中国矿产地质志项目,总结了中国硼矿的成矿规律,圈定了硼矿找矿远景区,对未来硼矿的找矿工作有一定的参考价值。文章选取了具有代表性的矿床进行详细解剖工作,分别建立了现代盐湖型和沉积变质型典型硼矿床的预测模型。中国硼矿床的主要类型包括现代盐湖型、沉积变质型、地下卤水型、矽卡岩型和海相火山岩型。目前,中国共发现硼矿的矿产地216处,查明资源储量7575.69万t（B₂O₃）,分布在辽宁、西藏、青海、湖北等14个省（市、自治区）。在成矿时代上,中国硼矿主要形成于新生代、古元古代和中生代。在空间上,中国硼矿可划分为14个Ⅲ级成矿区带和11个矿集区。根据硼矿成矿预测成果,本文圈定了10个硼矿找矿远景区和8个优先勘查区,其中优先勘查区主要集中在青海油泉子（地下卤水型）,昆特依（现代盐湖型）,辽宁夹皮沟-红石砬子、吉林高台沟（沉积变质型）,西藏扎布耶茶卡、依布茶卡、麻米错、班戈错（现代盐湖型）等地区。     

《北京西山地质志》中、英文本比较研究

依据文本对勘的方法,从图片和文字两个方面对《北京西山地质志》中、英文本进行比较研究。图片方面,英文本作了大量的增补和解说,内容更为详实准确。文字方面,中、英文本目录存在明显差异。英文本序言和注释有其独到的价值和意义。中文本正文的细节增补,应是吸收了当时的最新研究成果。中、英文本比较研究为认识《北京西山地质志》的价值与地位提供了准确可靠的学术依据。     

雄安新区D01井岩溶热储下伏太古界中热流测定研究

【研究目的】目前雄安新区范围内的热流数据多测自于新近系沉积盖层及白云岩地层,对岩溶热储下伏太古界的热流测定研究还鲜见报道,主要受限于以往的地热勘查开发层位主要在1800m以浅的蓟县系岩溶热储,揭露岩溶热储下伏太古界的钻孔稀少。2018年以来,在雄安新区牛驼镇地热田实施了D01深部地热参数井,揭穿了高于庄组岩溶热储,并揭露太古界厚度达1723.67m,给该地区岩溶热储下伏太古界的热流测定研究提供了条件。【研究方法】本文基于近稳态钻孔测温及岩心热导率测试,对D01井太古界进行了热流测定及分析。【研究结果】结果表明：D01井太古界呈显著的传导型地温特征,地温梯度为18.3℃/km,相比于新近系地温梯度48.6℃/km偏低。测得25块D01井太古界片麻岩岩心样品的热导率平均值为（2.41±0.40）W/(K·m)。根据钻孔测温数据及热导率测试,计算出D01井太古界2300～2700m深度的热流值为（44.1±7.0）mW/m²。同时,估算了D01井新近系400～800m深度段的热流值为84.6mW/m²,较太古界高出40.5mW/m²。【结论】分析认为D01井新近系较太古界高出热流主要为高孔渗岩溶白云岩层中地下水侧向热对流作用以及牛东断裂地下水垂向热对流作用共同所致。研究结果对前人提出的地下水运移聚热模式及导热断裂聚热模式提供了数据支撑,对雄安新区深部地热资源成因机制和太古界地温场研究具有重要意义。     

河南漯河市明化镇组温热水地球化学特征及成因

全球环境污染形势依然严峻,加大地热等可再生能源开发力度已成为人类社会的共识。在系统梳理河南漯河地热地质条件基础上,以新近系明化镇组温热水为主要研究对象,通过采样化验,结合所收集资料,对其水化学场、温度场、同位素等进行研究,提出了漯河地热地质成因模式。研究结果表明:河南漯河温热水水化学类型较为复杂,以Cl-Na型、Cl-Na·Ca型、Cl·SO₄-Na型为主,次为Cl·HCO₃-Na型和SO₄·Cl-Na型。漯河新近系明化镇组地热水以沉积水为主,有少量的侧向补给,补给源主要为来自西部及西北部山丘区的大气降水,循环深度为1 320 m,属于典型的传导型地热系统。     

国内外基础地质数据更新现状与思考

在大数据、云计算、移动互联网等信息技术的推动下,地质科研范式正由过去的经验范式、理论范式向数据密集型范式转变。基础地质数据是国家基础性、战略性、公益性地质调查工作成果,反映了地质调查的精度和质量,是地质调查工作创新、服务和可持续发展的基点与源泉,决定了地质调查事业发展的战略制高点和竞争力。在以密集数据为基础的科学研究第四范式即将来临之际,基础地质数据的数量、质量和更新时效已成为衡量一个国家地质调查工作水准的基础标准之一。大部分国家按照严格的技术标准实现了基础地质数据库的实时更新和基础地质数据与图件的一体化表达,并面向社会需求研发出类别丰富的地质数据衍生产品。我国虽然建成了地质云平台,实现了一批数据库的汇聚和共享,但基础地质数据更新机制尚不健全,影响了宏观尺度的地质认知水平;基础地质数据更新标准与技术刚刚提上日程,制约了地质调查工作的支撑服务能力;基础地质数据研发服务能力不足,限制了数据更新的外在需求。基于此,本文提出了依托地质云平台构建基础地质数据更新体系的建议:一是建立“地质云节点一盘棋”的数据更新工作机制;二是构建全国统一的基础地质数据更新标准体系;三是构建“大数据、智能化和在线化”三位一体的数据更新技术体系;四是打造多方稳定协同的数据更新队伍体系。     

甘肃省地矿局“十三五”水文与环境地质成果及“十四五”发展设想综述

水文与环境地质专业服务对象涉及自然资源、生态环境、文化旅游、林业草原、水利水务、农业农村、应急管理、交通住建等政府职能管理部门,服务范围涵盖资源能源调查监测、水土污染评价防治、国土空间生态修复、旅游规划、生态环境保护与治理、防灾减灾、重大工程建设等社会经济领域,水工环队伍是资源、环境、生态、空间等国土要素调查评价、利用及保护和监测预警的重要专业技术力量。本文在总结甘肃省地矿局“十三五”期间的水文与环境地质工作在提供资源能源保障、地质技术服务方面的主要成就和支撑生态环境保护与修复方面成果的基础上,依托行业技术优势和发展基础,结合国家及省经济社会发展和生态文明建设等战略部署,面向政府需要和社会需求,分析提出了甘肃省地矿局“十四五”期间水文与环境地质业务转型升级与高质量发展的宏观设想和思路。对地勘单位适应新发展阶段的水文与环境地质工作新要求,规划部署和构建相应的新发展格局有一定的参考意义。     

大兴安岭地区古生代构造格架重建:来自俯冲增生杂岩研究进展

大兴安岭地区古生代处于古亚洲洋闭合阶段,其间发育众多的弧盆系和蛇绿岩带,笔者等在大兴安岭地区1: 1 000 000地质编图和野外地质调研基础上,应用“洋板块地质”学术思想在大兴安岭地区元古宙、古生代地质体中划分出一系列“俯冲增生杂岩”、地块基底残块、岛弧、弧前盆地、弧后盆地等构造单元,结合陆(地)块和岩浆弧、弧前盆地、弧后盆地和“俯冲增生杂岩”的时空展布,划分出9条俯冲增生杂岩带,其中新识别出3条俯冲增生杂岩带。俯冲增生杂岩带主要分布于兴蒙造山带内部各地块之间和地块与大型岛弧带之间,相当于地块间及地块与岛弧带间的缝合带。依据俯冲增生杂岩带两侧对应的陆(地)块、岛弧带等构造级别,归并出5条结合带。俯冲增生杂岩带的展布方向以北东向为主,时代自北向南依次变新,从早奥陶世演化到中—晚二叠世,暗示古亚洲洋洋盆向大兴安岭地区陆(地)块俯冲作用最早发生在北部额尔古纳一带,逐渐向南后撤,不断形成新的洋壳和产生俯冲增生作用,相应的活动陆缘从北部额尔古纳地块向南逐渐增生,配套弧盆系时代也逐渐向南变新。早—中三叠世至西拉木伦一带发生陆-陆拼贴,完成华北板块与西伯利亚板块的对接。通过对大兴安岭地区古生代“俯冲增生杂岩”的研究,重建了大兴安岭地区古生代构造格架,提高了古亚洲洋东段洋-陆转换的研究程度。     

Assessing the impact of conceptual mineral systems uncertainty on prospectivity predictions

The past two decades have seen a rapid adoption of artificial intelligence methods applied to mineral exploration. More recently, the easier acquisition of some types of data has inspired a broad literature that has examined many machine learning and modelling techniques that combine exploration criteria, or ‘features’, to generate predictions for mineral prospectivity. Central to the design of prospectivity models is a ‘mineral system’, a conceptual model describing the key geological elements that control the timing and location of economic mineralisation. The mineral systems model defines what constitutes a training set, which features represent geological evidence of mineralisation, how features are engineered and what modelling methods are used. Mineral systems are knowledge-driven conceptual models, thus all parameter choices are subject to human biases and opinion so alternative models are possible. However, the effect of alternative mineral systems models on prospectivity is rarely compared despite the potential to heavily influence final predictions. In this study, we focus on the effect of conceptual uncertainty on Fe ore prospectivity models in the Hamersley region, Western Australia. Four important considerations are tested. (1) Five different supergene and hypogene conceptual mineral systems models guide the inputs for five forest-based classification prospectivity models model. (2) To represent conceptual uncertainty, the predictions are then combined for prospectivity model comparison. (3) Representation of three-dimensional objects as two-dimensional features are tested to address commonly ignored thickness of geological units. (4) The training dataset is composed of known economic mineralisation sites (deposits) as ‘positive’ examples, and exploration drilling data providing ‘negative’ sampling locations. Each of the spatial predictions are assessed using independent performance metrics common to AI-based classification methods and subjected to geological plausibility testing. We find that different conceptual mineral systems produce significantly different spatial predictions, thus conceptual uncertainty must be recognised. A benefit to recognising and modelling different conceptual models is that robust and geologically plausible predictions can be made that may guide mineral discovery.     

Lu–Hf constraints on pre-, syn,and post-collision associations of the Gurupi Belt,Brazil: Insights on the Rhyacian crustal evolution

The Gurupi Belt (together with the São Luís cratonic fragment), in north-northeastern Brazil, has been described in previous studies that used extensive field geology, structural analysis, airborne geophysics, zircon U–Pb dating, and whole-rock Sm–Nd isotope and geochemical data as a polyphase orogenic belt, with the Rhyacian being the main period of crust formation. This was related to a 2240 Ma to 2140 Ma accretionary processes that produced juvenile crust, which has subsequently been reworked during a collisional event at 2100 ± 20 Ma, with little evidence of Archean crust. In this study, we use Lu–Hf isotopic data in zircon from granitoids (including gneiss) of variable magmatic series, and amphibolite to improve the knowledge of this scenario, and investigate additional evidence of recycling of Archean basement. Pre-collisional high Ba-Sr and ferroan granitoids and amphibolite formed in island arc (2180–2145 Ma), show only zircons with suprachondritic εHf values (ca. +1 to +8) indicating the large predominance of juvenile magmas. Only 10% of the data show slightly negative εHf values (0 to ?4), which have been observed in granodiorite-gneiss formed in continental arc (2170–2140 Ma), and in strongly peraluminous collisional granites (2125–2070 Ma), indicating the rework of older Paleoproterozoic to Archean components (Hf_TDM = 2.11–3.69 Ga). A two-component mixing model using both Hf and published Nd isotope data are in line with this interpretation and indicate more than 90% of juvenile material, and less influence of Archean materials. Comparing with other Rhyacian terranes that are interpreted to have been close to Gurupi in a pre-Columbia configuration (ca. 2.0 Ga), our results differ from those of SE-Guiana Shield, which show strong influence of Archean protoliths, and are very similar to those of the central-eastern portion of the Baoulé-Mossi Domain of the West African Craton, which has also been formed largely by juvenile magmas in an accretionary-collisional orogen.