基于Markov链的金川铜镍矿床超基性岩体侵位过程模拟及找矿启示

金川铜镍矿床是世界第三大铜镍硫化物岩浆矿床,现有研究表明其成矿模式为岩浆通道成矿,但是对于金川超基性岩体的侵位过程存在较大争议。为探索岩体的侵位过程,将岩浆侵位描述为马尔可夫(Markov)过程,提出一种基于Markov链的岩体侵位模拟算法,实现对金川超基性岩体侵位过程的模拟。以金川Ⅱ矿区为例,探讨了侵位过程与矿化的关联及岩浆通道骨架,为在矿床深部寻找第二成矿空间提供方向和线索。     

Mineralization time and tectonic setting of the Zhengguang Au deposit in the Duobaoshan ore field,Heilongjiang Province,NE China

The Zhengguang deposit, a representative large gold deposit in the Duobaoshan ore field in NE China, is located in the northeast of the Central Asian Orogenic Belt (CAOB). Ore body emplacement was structurally controlled and occurs mainly at the contact zone between the strata of Duobaoshan Formation and an Ordovician diorite stock. The diorite rocks have a close genetic relationship with Au mineralization. Re–Os isotope dating of Au-bearing pyrite yields an isochron age of 506 ± 44 Ma (MSWD = 15). Based on present and previous dating results, it can be concluded that the Zhengguang deposit formed at ~480 Ma. The mineralization time of the Zhengguang deposit is nearly identical to those of the Duobaoshan and Tongshan deposits, indicating they are all derived from the same metallogenic system. The Duobaoshan-style porphyry Cu–Mo mineralization may exist at deeper levels at Zhengguang. The geochemical characteristics of the Zhengguang dioritic rocks presented in this paper are similar to those of bajaitic high-Mg andesite, and the magmas originated from a mantle wedge metasomatized by melts from a subducting oceanic slab at an active continental margin setting. The Ordovician magmatic–metallogenic events in the Duobaoshan ore field were caused by the westward subduction of an oceanic slab located between the Xing’an and Songliao blocks. It is worth pointing out that the Zhengguang deposit is the oldest known Phanerozoic Au deposit in NE China. Further studies of this deposit will improve understanding of the regularity of ore formation and aid mineralization forecast across the Duobaoshan region.     

皖北典型区高氟深层地下水的分布及影响因素

选取皖北典型区深层地下水的氟作为研究对象,在资料收集、水文地质调查、采样测试的基础上,获取了81个深层地下水及71个浅层地下水样品的测试数据。综合运用描述性统计、相关性分析、离子比例系数和Piper图示法,分析深层水氟的分布特征、来源及形成影响因素,结果表明:皖北典型区的深层地下水氟含量具有四周低、中部高的特点;高氟水多呈弱碱性,依据水化学类型特征可将该研究区划分为三个系统:亳州系统、阜阳系统和蒙城系统。亳州系统多为Cl—Na型水,阜阳系统多为HCO3—Na型水,蒙城系统较复杂,包括Cl—Na型、HCO3·SO4·Cl—Na型、HCO3—Ca·Mg型及HCO3—Na·Mg·Ca型水;深层地下水中氟的主要来源是含氟矿物的溶解;弱碱性水、溶解/沉淀作用和阳离子交替吸附作用是影响皖北典型区深层地下水氟形成的主要影响因素。     

西藏拉琼锑金矿床流体包裹体特征及地质意义

正拉琼锑金矿床位于措美县西约17 km,大地构造位于青藏高原南部的特提斯喜马拉雅构造带东段,地处于印度河—雅鲁藏布江缝合带(IYZS)与藏南拆离系(STDS)大断裂之间。由于印度板块与欧亚板块碰撞之后,导致印度洋持续扩张,造成印度大陆不断向北挤压,形成喜马拉雅造山带(尹安,2000),该地区近东西向的断裂自北而南依次     

基于AutoCAD二次开发的矢量地形数据检查

基于CAD的矢量地形数据是一类基本的重要的基础地理数据，其应用十分广泛，同时也是各类地理信息系统重要的数据源，其属性精度、逻辑一致性是其重要质量元素，本文论述了基于AuotoCAD二次开发实现矢量地形数据计算机自动化高效检查的技术方法。     

开源GIS支持下的气象灾害风险区划分析

近年来气象灾害频繁发生,给我国人民生活、经济发展带来严重威胁。灾害风险区划分析作为防灾减灾的基础工作,在我国逐渐展开。为探索一种基于开源GIS的县级区域气象灾害风险区划分析技术方案,首先分析开源GIS的发展状况,探讨了开源GIS的质量、性能及应用中需注意的法律因素等,而后以东营市河口区为例,选择QGIS、ILWIS等开源软件,基于区域灾害系统论构建不同气象灾害的分析模型及综合气象灾害分析模型,进行县级区域气象灾害风险区划分析,最终编制实验区气象灾害风险区划分级图。     

强对流天气雷达回波强度相关性对比分析

为了提高山区复杂地形条件下局地强对流天气监测预警能力,有效减小天气雷达之间对降水目标物回波的测量误差,选取贵阳、毕节、遵义三部多普勒天气雷达同步观测体扫资料,以贵阳多普勒天气雷达站为基准,对比分析了强对流天气的雷达回波强度的变化特征。初步分析结果表明:贵阳与遵义、毕节雷达之间观测的回波强度具有一致性的波动特征,且存在较大的相关性;贵阳雷达观测的回波强度总体低于毕节、遵义雷达观测数据结果;两部雷达之间回波强度差异主要是由云和降水对雷达波的衰减所产生。     

Effect of compressive strength on the performance of the NEMO-LIM model in Arctic Sea ice simulation

Satellite records show that the extent and thickness of sea ice in the Arctic Ocean have significantly decreased since the early 1970s. The prediction of sea ice is highly important, but accurate simulation of sea ice variations remains highly challenging. For improving model performance, sensitivity experiments were conducted using the coupled ocean and sea ice model (NEMO-LIM), and the simulation results were compared against satellite observations. Moreover, the contribution ratios of dynamic and thermodynamic processes to sea ice variations were analyzed. The results show that the performance of the model in reconstructing the spatial distribution of Arctic sea ice is highly sensitive to ice strength decay constant (C^rhg). By reducing the C^rhg constant, the sea ice compressive strength increases, leading to improved simulated sea ice states. The contribution of thermodynamic processes to sea ice melting was reduced due to less deformation and fracture of sea ice with increased compressive strength. Meanwhile, dynamic processes constrained more sea ice to the central Arctic Ocean and contributed to the increases in ice concentration, reducing the simulation bias in the central Arctic Ocean in summer. The root mean square error (RMSE) between modeled and the CryoSat-2/SMOS satellite observed ice thickness was reduced in the compressive strength-enhanced model solution. The ice thickness, especially of multiyear thick ice, was also reduced and matched with the satellite observation better in the freezing season. These provide an essential foundation on exploring the response of the marine ecosystem and biogeochemical cycling to sea ice changes.

     

Middle Triassic Stratigraphy and Sedimentary Paleogeography of South China

During the Middle Triassic a great turn took place in thedevelopment of sedim entary basin of South China.Followingthe final suture of Cathaysia block with Yangtze block (in-cluding the L ower Yangtze region) ,Yangtze block matchedcompletely the North China block (Yin et al.,1999) ,whilethe extensive Indosinian m ovementwreaked havoc in the east-ern Tethys.Then the sediments in the main part of SouthChina transformed gradually from marine to terrestrial.As aresult the most remarkable cha…     

青藏高原云-辐射-加热效应和南亚夏季风--1985年与1987年对比分析

文中首先利用NCEP NCAR再分析的风场资料 ,分析了南亚夏季风的时空特征 ,选取了有代表性的典型强、弱夏季风年 ,继而利用ISCCP C2、ERBE S4卫星观测资料和NCEP NCAR再分析资料 ,对比分析了强、弱夏季风前期青藏高原地区的云—辐射—加热状况及其在海、陆差异中的作用。分析结果表明 ,南亚夏季风强或弱 ,其前期青藏高原地区的云—辐射—加热效应有明显的差异。在强 (弱 )南亚夏季风的前期 ,青藏高原大部分地区为相对少 (多 )云区 ,其云量变化不仅表明了此区的云—辐射—加热效应的不同 ,更重要的是与此同时出现的海、陆之间云量分布的“跷跷板”现象 ,进一步改变了海、陆之间的热力差异。而且 ,在强南亚夏季风年 ,这种热力差异不但开始得早 ,而且持续时间长、作用范围大 ,从而对南亚夏季风的形成和变化产生重要的影响