东昆仑造山带海德乌拉铀矿床成矿流体特征研究

东昆仑造山带海德乌拉铀矿床是近些年西北地区最新探明的与火山岩有关的独立铀矿床,该矿床的发现为东昆仑造山带探寻热液型铀矿床提供了指示意义。本文选择与海德乌拉铀矿成矿期相关的透明矿物（粉红色方解石、紫黑色萤石及石英）作为研究对象,系统地开展C- H- O同位素和流体包裹体研究,查明该矿床成矿流体的来源与性质,并探讨矿床成因。研究结果表明,海德乌拉铀矿床成矿期石英中主要为H2O气液两相包裹体,少见CO2- H2O两相包裹体;在粉红色方解石脉、紫黑色萤石脉中流体包裹体均含H2O气液两相包裹体,在粉红色方解石脉中偶见纯液相包裹体,均未见到纯气相及含固相包裹体。成矿期粉红色方解石、紫黑色萤石及石英中包裹体均一温度范围分别为133~187℃（均值163℃）、127~204℃（均值169℃）、183~287℃（均值219℃）,盐度范围分别为1. 40%~7. 02%NaCleq（均值3. 65%NaCleq）、0. 53%~3. 06%NaCleq（均值1. 26%NaCleq）、7. 17%~17. 26%NaCleq（均值为11. 46%NaCleq）。流体包裹体气相成分以H2O为主,另含少量CO2等。C- H- O同位素实验数据表明,流体中δ13CFluid- V- PDB、δDFluid- V- SMOW、δ18OFluid- V- SMOW值的变化范围分别为1. 59‰~1. 00‰、71‰~63‰、0. 03‰~3. 72‰,表明成矿流体并非单一来源,可能为大气降水与岩浆水混合来源。此外,沥青铀矿的沉淀主要是由于流体与围岩的相互反应所引起的物理化学条件变化加上流体沸腾/CO2去气,最终导致了沥青铀矿等成矿物质发生大规模的卸载与沉淀。     

Preface to the special issue China Seismic Experimental Site (CSES): on-going progresses and future prospects

In 2018, the International Conference for the Decade Memory of the Wenchuan Earthquake in connection to the 4th International Conference on Continental Earthquakes (4th ICCE) and the 12th Assembly of Asian Seismological Commission (ASC) officially announced the establishment of China Seismic Experimental Site (CSES) in the Sichuan-Yunnan region. CSES focuses on the field experiments on a broad spectra of scientific problems in earthquake science, from the tectonics and physics of earthquakes and faulting to the engineering countermeasures for disaster risk reduction. In spring of 2021, approved by the Standing Committee of the National People's Congress of China, CSES as a key state scientific infrastructure was enlisted in the 14th national five-year plan (2021–2025) of economic and social development and the long-term vision of 2035, which is considered as a major step for promoting earthquake science in China. Since 2018, the planning, construction and functioning of CSES have attracted much attention in earthquake science (CSES, 2020a, b, c; Wu ZL et al., 2021a, b, c, d). This special issue of Earthquake Science, similar to other publications (e.g., Li YG et al., 2021), reflects a profile of the on-going works of CSES, by CSES, and for CSES. Totally 8 articles are included in the present issue, covering some aspects of research scopes of CSES.     

全国重要矿产总量预测方法

全国重要矿产资源评价涉及25种重要矿产的近百种矿床类型,需要在1∶20万尺度水平圈定成矿预测远景区,并科学估算各远景区资源量,为国家矿产资源战略勘查和战略部署提供技术支撑。为了保证预测成果在同一层面上进行全国汇总,制定了全国一致的、标准的技术要求和方法。通过对中国以往一轮、二轮区划预测方法、全国矿产资源总量预测方法及国外最新预测方法的分析和总结,结合近年来预测理论的新发展,确定了全国重要矿产总量预测的理论基础是成矿系列理论、现代成矿动力学理论和综合信息矿产预测理论,采用的预测思路是矿床模型综合地质信息预测方法。文章陈述了总量预测的方法流程和预测技术要求,有关方法思路可供资源评价人员参考。     

汇聚板块边缘岩浆中金属和氯的地球化学性质研究

总结了铜(Cu)、金(Au)、铼(Re)和氯(Cl)在汇聚板块边缘岩浆中的性质。在岛弧型的火山岩岩浆演化的早期,Cu、Au和Re均表现为中度不相容元素,含量随SiO2含量的增加而增加。在SiO2质量分数为58%时,多数岛弧型火山岩中Au、Cu的含量会突然大幅度下降。这一变化与铁和钛的变化是耦合的,铁和钛均由不相容元素变为相容元素,显示钛磁铁矿开始结晶了。进一步的研究表明,钛磁铁矿的结晶使硫酸根被还原为氢硫酸根,后者与Au、Cu形成氢硫酸根络合物,被萃取到流体相中,从而形成成矿流体。这一过程可以很好地解释Au、Cu矿床广泛分布于汇聚板块边缘的现象。与Au、Cu相反,Re的含量在SiO2质量分数为60%时才开始下降,而且是缓慢下降。这是因为Re通常比Au、Cu更亲石。此外,Re还具有强烈的挥发性。氯在东Manus岩浆中表现为高度不相容的特点。氯的性质主要受压力、初始水含量和岩浆演化分异程度的控制。计算结果显示,由于MORB和OIB含水量低,分异演化程度低,氯在上述岩浆中表现为高度不相容的特点。相比之下,氯在岛弧岩浆中的性质就复杂得多。随着水含量和岩浆房深度的不同,氯的性质可以从相容变到高度不相容。     

COVID-19疫情期间全球空气质量变化:臭氧响应的区域间差异

疫情期间全球各地一次排放大幅削减,而臭氧等二次污染的响应则存在着区域间差异.结合地面和卫星观测发现,同在氮氧化物大幅下降的情况下,臭氧在东亚和欧洲呈现出可达14ppb的上升信号,而北美则下降为主(约2-4ppb).我们结合气象分析和臭氧敏感性进一步讨论了臭氧响应差异性的原因,一方面受臭氧与前体物间关系的影响;另一方面来...     

谈谈建筑玻璃幕墙的防雷方法

对建筑玻璃幕墙的雷电危害及防雷措施进行分析,阐述玻璃幕墙防雷的有关做法。     

Properties and stability of a meso-scale line-form disturbance

By using the 3D dynamic equations for small- and meso-scale disturbances, an investigation is performed on the heterotropic instability (including symmetric instability and traversal-type instability) of a zonal line-like disturbance moving at any angle with respect to basic flow, arriving at the following results: (1) with linear shear available, the heterotropic instability of the disturbance will occur only when flow shearing happens in the direction of the line-like disturbance movement or in the direction perpendicular to the disturbance movement, with the heterotropic instability showing the instability of the internal inertial gravity wave; (2) in the presence of second-order non-linear shear, the disturbance of the heterotropic instability includes internal inertial gravity and vortex Rossby waves. For the zonal line-form disturbance under study, the vortex Rossby wave has its source in the second-order shear of meridional basic wind speed in the flow and propagates unidirectionally with respect to the meridional basic flow. As a mesoscale heterotropic instable disturbance, the vortex Rossby wave has its origin from the second shear of the flow in the direction perpendicular to the line-form disturbance and is independent of the condition in the direction parallel to the flow; (3) for general zonal line-like disturbances, if the second-order shear happens in the meridional wind speed, i.e., the second shear of the flow in the direction perpendicular to the line-form disturbance, then the heterotropic instability of the disturbance is likely to be the instability of a mixed Rossby–internal inertial gravity wave; (4) the symmetric instability is actually the instability of the internal inertial gravity wave. The second-order shear in the flow represents an instable factor for a symmetric-type disturbance; (5) the instability of a traversal-type disturbance is the instability of the internal inertial gravity wave when the basic flow is constant or only linearly sheared. With a second or nonlinear vertical shear of the basic flow taken into account, the instability of a traversal-type disturbance may be the instability of a mixed vortex Rossby – gravity wave.     

Nitrogen fixation driven by mesoscale eddies and the Kuroshio Current in the northern South China Sea and the East China Sea

N₂ fixation rates (NFR, in terms of N) in the northern South China Sea (nSCS) and the East China Sea (ECS) were measured using the acetylene reduction assay in summer and winter, 2009. NFR of the surface water ranged from 1.14 nmol/(L·d) to 10.40 nmol/(L·d) (average at (4.89±3.46) nmol/(L·d), n=11) in summer and 0.74 nmol/(L·d) to 29.45 nmol/(L·d) (average at (7.81±8.50) nmol/(L·d), n=15) in winter. Significant spatio-temporal heterogeneity emerged in our study: the anticyclonic eddies (AE) (P<0.01) and the Kuroshio Current (KC) (P<0.05) performed significantly higher NFR than that in the cyclonic eddies or no-eddy area (CEONE), indicating NFR was profoundly influenced by the physical process of the Kuroshio and mesoscale eddies. The depth-integrated N₂ fixation rates (INF, in terms of N) ranged from 52.4 μmol/(m2·d) to 905.2 μmol/(m2·d) (average at (428.9±305.5) μmol/(m2·d), n=15) in the winter. The contribution of surface NFR to primary production (PP) ranged from 1.7% to 18.5% in the summer, and the mean contribution of INF to new primary production (NPP) in the nSCS and ECS were estimated to be 11.0% and 36.7% in the winter. The contribution of INF to NPP (3.0%–93.9%) also decreased from oligotrophic sea toward the eutrophic waters affected by runoffs or the CEONE. Furthermore, we observed higher contributions compared to previous studies, revealing the vital roles of nitrogen fixation in sustaining the carbon pump of the nSCS and ECS.     

Mineral Potential Mapping Using a Conjugate Gradient Logistic Regression Model

Mineral potential prediction is a process of establishing a statistical model that describes the relationship between evidence variables and mineral occurrences. In this study, evidence variables were constructed from geological, remote sensing, and geochemical data collected from the Lalingzaohuo district, Qinghai Province, China. Based on these evidence variables, a conjugate gradient logistic regression (CG-LR) model was established to predict exploration targets in the study area. The receiver operating characteristic (ROC) and prediction–area (P-A) curves were used to evaluate the effectiveness of the CG-LR model in mineral potential mapping. The difference between the vertical and horizontal coordinates of each point on the ROC curve was used to determine the optimal threshold for classifying the exploration targets. The optimal threshold corresponds to the point on the ROC curve where the difference between the vertical coordinate and the horizontal coordinate is the largest. In exploration target prediction in the study area, the CG algorithm was used to optimize iteratively the LR coefficients, and the prediction effectiveness was tested for different epochs. With increasing iterations, the prediction performance of the model becomes increasingly better. After 60 iterations, the LR model becomes stable and has the best performance in exploration target prediction. At this point, the exploration targets predicted by the CG-LR model occupy 14.39% of the study area and contain 93% of the known mineral deposits. The exploration targets predicted by the model are consistent with the metallogenic geological characteristics of the study area. Therefore, the CG-LR model can effectively integrate geological, remote sensing, and geochemical data for the study area to predict targets for mineral exploration.