Study of late-Mesozoic magmatic rocks and their related copper-gold-polymetallic deposits in the Guichi ore-cluster district,Lower Yangtze River Metallogenic Belt,East China

ABSTRACT

The Guichi ore-cluster district in the Lower Yangtze River Metallogenic Belt hosts extensive Cu–Au–Mo polymetallic deposits including the Tongshan Cu–Mo, Paodaoling Au, Matou Cu–Mo, Anzishan Cu–Mo, Guilinzheng Mo and Zhaceqiao Au deposits, mostly associated with the late Mesozoic magmatic rocks, which has been drawn to attention of study and exploration. However, the metallogenic relationship between magmatic rocks and the Cu–Au-polymetallic deposits is not well constrained. In this study, we report new zircon U–Pb ages, Hf isotopic, and geochemical data for the ore-bearing intrusions of Guichi region. LA-ICP-MS U–Pb ages for the Anzishan quartz diorite porphyrite is 143.9 ± 1.0 Ma. Integrated with previous geochronological data, these late Mesozoic magmatic rocks can be subdivided into two stages of magmatic activities. The first stage (150–132 Ma) is characterized by high-K calc-alkaline intrusions closely associated with Cu–Au polymetallic ore deposits. Whereas, the second stage (130–125 Ma) produced granites and syenites and is mainly characterized by shoshonite series that are related to Mo–Cu mineralization. The first stage of magmatic rocks is considered to be formed by partial melting of subducted Palaeo-Pacific Plate, assimilated with Yangtze lower crust and remelting Meso-Neoproterozoic crust/sediments. The second stage of magmatism is originated from partial melting of Mesoproterozoic-Neoproterozoic crust, mixed with juvenile crustal materials. The depression cross to the uplift zone of the Jiangnan Ancient Continent forms a gradual transition relation, and the hydrothermal mineralization composite with two stages have certain characteristics along the regional fault (Gaotan Fault). Guichi region results from two episodes of magmatism probably related to tectonic transition from subduction of Palaeo-Pacific Plate to back-arc extensional setting between 150 and 125 Ma, which lead to the Mesozoic large-scale polymetallic mineralization events in southeast China.     

熔融制样-X射线荧光光谱法测定电气石中12种主次量元素

电气石是一类含硼的铝硅酸盐矿物,化学成分复杂、化学稳定性强,不易湿法分解,B_2O_3含量较高,导致其主次量元素的同时测定存在一定困难。本文采用熔融法制样,建立了X射线荧光光谱法测定电气石Na_2O、MgO、Al_2O_3、SiO_2、P_2O_5、K_2O、CaO、TiO_2、V_2O_5、Cr_2O_3、MnO、TFe_2O_3等主次量元素的分析方法。样品与四硼酸锂-偏硼酸锂-氟化锂(质量比为4.5∶1∶0.4)混合熔剂的稀释比例为1∶10,消除了粒度效应和矿物效应;在缺少电气石标准物质的情况下,选择土壤、水系沉积物及多种类型的地质标准物质绘制校准曲线,利用含量与电气石类似的标准物质验证准确度,测定结果的相对标准偏差小于4.2%。采用所建方法测定四种不同类型电气石实际样品,测定值与经典化学法基本吻合。本方法解决了电气石不易湿法分解和硼的干扰问题,测定结果准确可靠,与其他方法相比操作简便,分析周期短。     

安徽省凤阳江山金矿床赋矿地层和相关岩浆岩锆石年代学研究及其意义

安徽省北部蚌埠隆起区被认为是山东胶东招远金成矿带以西的延伸部分,但蚌埠隆起区内之前一直未发现成规模的金矿床。江山金矿床是最近新发现的中型金矿床,区内成矿作用的时代、赋矿地层的归属仍缺乏系统的年代学证据。文章对蚌埠隆起区内江山金矿床的赋矿地层和相关岩浆岩开展系统的年代学研究,明确了赋矿地层时代归属,并限定了成矿时代的上限和下限。矿床赋矿围岩浅粒岩的结晶年龄为(2496±19)Ma,变质年龄为(2452±47)Ma;斜长角闪岩的变质年龄为(1824±11)Ma,对比区域地层岩性和时代,确定矿床的赋矿围岩为新太古代五河群西堌堆组,而非过去认为的庄子里组。矿床中穿切矿体的脉岩花岗闪长斑岩的结晶年龄为(121.2±1.4)Ma,代表成矿时代的下限;赋矿岩体巨斑花岗斑岩的结晶年龄为(128.3±1.7)Ma,代表了成矿时代的上限。通过与胶东金成矿带的对比,认为蚌埠隆起区与胶东地区的前寒武纪变质基底演化历史相似,江山金矿床的成矿作用类型属于胶东焦家式金矿,在此基础上,推测蚌埠隆起区西芦山岩体和淮光岩体有较大的成矿潜力。     

高效液相色谱-电感耦合等离子体质谱联用检测土壤中的无机硒形态

土壤样品中亚硒酸盐Se(Ⅳ)和硒酸盐Se(Ⅵ)的形态分析中,提取剂的选择和检测方法是技术的关键。以往的提取剂容易导致硒形态发生转变或无法同时提取Se(Ⅳ)和Se(Ⅵ),常用的氢化物发生原子荧光光谱法无法直接测定Se(Ⅵ),而是通过差减法得出Se(Ⅵ)含量。本文对比了不同提取剂的提取能力,确定使用0. 1 mol/L氢氧化钠溶液作为提取剂,在55℃超声萃取土壤样品30 min,提取液经高效液相色谱分离,电感耦合等离子体质谱检测,建立了土壤中Se(Ⅳ)和Se(Ⅵ)的形态分析方法。采用Hamilton PRP X-100色谱柱,以6 mmol/L柠檬酸为流动相,pH=5. 5,在8 min内可完全分离Se(Ⅳ)和Se(Ⅵ),两者的检出限分别为0. 15μg/L、0. 16μg/L,线性相关系数(r~2)均大于0. 999。以土壤为基体进行加标回收试验,Se(Ⅳ)和Se(Ⅵ)的回收率在84. 2%～95. 8%之间,相对标准偏差为1. 4%～5. 3%(n=6)。该方法简单快速,具有良好的精密度和准确度,适用于土壤中无机硒的形态分析。     

云南个旧多金属矿石门坎—保和地区Sn、Sb元素的成矿信息识别与提取

石门坎—保和地区位于云南个旧多金属成矿区西南部,成矿背景复杂,成矿作用具有多期性和多样性。利用研究区1∶1万土壤化探数据,采用泛克里格法和因子分析相结合的方法,提取不同层次的成矿异常信息。结果表明:主因子F_3包含Mo-Au-Sb等元素,反映成矿过程中的岩体和热液相关信息;主因子F_4包含Sn-Bi-W元素,指示中低温热液矿化环境; Sb沿杨家田断裂呈串珠状分布,反映了由北东向构造控制的空间变化特征,与已知矿点对应良好; Sn元素异常在研究区北部呈双峰状环形分布,推测受隐伏岩体或者断层控制。根据元素组合异常F_3和F_4的分布规律,结合地质资料圈定出2个找矿靶区,为进一步找矿工作提供了方向。     

内蒙古翁公敖包航磁异常的推断与解释

文章对内蒙古四子王旗—土默特右旗中北部近年发现的翁公敖包航磁异常进行推断与解释,在对找矿有望的航磁异常进行筛选后,对翁公敖包航磁异常进行了野外地质-地球物理查证,确定异常为铁矿所致;采用向上延拓、垂向导数、斜导数及小波变换等方法对航磁异常进行数据转换处理,以获取铁矿体的横向及纵向分布信息,取得了较好的效果。     

顾及邻近点变形因素的高斯过程建模及预测

针对传统的变形监测建模方法一般针对单一监测点的变形预测模型,未考虑到监测点间相互作用的变形特点,该文分析了变形监测点间的相互关联性,通过相关系数法对监测点进行分类,并将邻近监测点的观测序列值作为和时间因素等同的影响因子应用到建模过程中,利用高斯过程算法进行训练,建立预测模型。为提高高斯过程算法的模型预测精度,应选择适合工程案例最优协方差函数。通过实例分析,比较GM(1,1)、多点灰色预测模型和顾及邻近点变形因素的高斯过程等3种模型在基坑围岩、滑坡等变形监测数据处理中的预测精度,表明该文算法考虑到监测点间的变形关联性,充分利用高斯过程在针对小样本、非线性数据建模时的高自适应性等优点,具有较高的预测精度。     

郑洛地区史前聚落分布特征的空间自相关分析

针对郑洛地区史前聚落遗址点的空间分布特征的问题,该文提出了一种空间自相关分析方法,以不同的格网尺度研究郑洛地区4个文化时期的遗址点的空间分布特征。研究发现:5 000~12 000m的格网尺度最能表现出裴李岗文化时期、仰韶文化前期、仰韶文化后期和龙山文化时期这4个文化时期全局自相关的差异。从局部自相关所表现出的变化情况来看,6 000~10 000m这一范围的格网尺度是最能保留住郑洛地区这4个文化时期遗址点的空间分布特征。将空间自相关分析应用于史前聚落考古研究中,可以探讨史前聚落考古中遗址点的空间分布模式及其变化。这不仅为史前聚落考古提供了一种新的思维方式,也扩展了史前聚落考古理论方面的研究。     

A comparative analysis of the NDVIg and NDVI3g in monitoring vegetation phenology changes in the Northern Hemisphere

Phenology is a sensitive and critical feature of vegetation and is a good indicator for climate change studies. The global inventory modelling and mapping studies (GIMMS) normalized difference vegetation index (NDVI) has been the most widely used data source for monitoring of the vegetation dynamics over large geographical areas in the past two decades. With the release of the third version of the NDVI (GIMMS NDVI3g) recently, it is important to compare the NDVI3g data with those of the previous version (NDVIg) to link existing studies with future applications of the NDVI3g in monitoring vegetation phenology. In this study, the three most popular satellite start of vegetation growing season (SOS) extraction methods were used, and the differences between SOSg and SOS3g arising from the methods were explored. The amplitude and the peak values of the NDVI3g are higher than those of the NDVIg curve, which indicated that the SOS derived from the NDVIg (SOSg) was significantly later than that derived from the NDVI3g (SOS3g) based on all the methods, for the whole northern hemisphere. In addition, SOSg and SOS3g both showed an advancing trend during 1982–2006, but that trend was more significant with SOSg than with SOS3g in the results from all three methods. In summary, the difference between SOSg and SOS3g (in the multi-year mean SOS, SOS change slope and the turning point in the time series) varied among the methods and was partly related to latitude. For the multi-year mean SOS, the difference increased with latitude intervals in the low latitudes (0–30°N) and decreased in the mid- and high-latitude intervals. The GIMMS NDVI3g data-sets seemed more sensitive than the GIMMS NDVIg in detecting information about the ground, and the SOS3g data were better correlated both with the in situ observations and the SOS derived from the Moderate Resolution Imaging Spectroradiometer NDVI. For the northern hemisphere, previous satellite measures (SOS derived from GIMMS NDVIg) may have overestimated the advancing trend of the SOS by an average of 0.032 d yr^–1.     

基于GIS的医疗资源可达性分析——以吉林省白城市为例

空间可达性是评价医疗资源分布合理性的重要指标之一,借助GIS强大的空间分析功能,可以对医疗资源可达性进行科学的分析与评价。本文尝试基于白城市的行政区划、交通数据以及医疗资源相关资料,使用GIS技术、空间可达性指标和改进的潜能模型对医疗资源可达性进行综合分析,为医疗资源的规划及分配提供决策参考。