右江盆地流体运移过程中成矿与成藏作用

右江盆地裂陷期和坳陷早期的沉积物提供研究区金矿与古油藏的物质与流体。成矿物质与烃类在盆地流体中沿以二叠纪生物礁为核心的断层、浊积岩及不整合面组成的三维输导体系向盆地边缘及二叠纪生物礁的核部运移。由于烃类物质与盐水体系密度的差异，使烃类物质与成矿物质差异聚集于不同的圈闭中形成流体藏。流体矿藏的破坏是导致成矿物质沉淀形成矿床的直接原因。构造活动、风化剥蚀及流体压裂均可导致流体矿藏破坏，其中燕山构造运动是该区流体藏破坏的主要原因，因而亦是该区金矿成矿作用的主要构造营力。本文从盆地流体运移、演化的角度证明，该区古油藏是盆地裂陷与坳陷阶段流体聚集的产物，而矿床则是盆地挤压抬升阶段流体藏破坏、流体散失的结果。研究成果表明，金矿与油气是同一盆地流体在其不同演化阶段的产物，这对在盆地中寻找相同类型的金属矿产意义重大。     

安徽庐枞盆地泥河铁矿床与膏盐层的成因联系及矿床成矿模式

安徽庐枞盆地位于长江中下游断陷带内,地处扬子板块北缘,是长江中下游成矿带中重要的铁铜多金属成矿区和玢岩型铁矿的集中产地。庐枞盆地西北部勘探发现了大型泥河铁矿床,其硫铁矿和硬石膏矿床也达到了中大型规模,矿床中硬石膏在不同蚀变-矿化阶段均广泛发育,具有鲜明的成矿特色。深部勘探揭示庐枞盆地深部存在含石膏沉积地层(膏盐层),但目前膏盐层与成矿作用关系尚未引起研究重视。本文总结和分析了泥河铁矿床的地质地球化学特征,着重分析了膏盐层与铁矿床形成的关系,并在阐明成矿流体系统演化过程和成矿机理的基础上,提出泥河矿床的形成与三叠系膏盐层有着重要的成因关系,膏盐层是泥河铁矿床形成的重要地质条件之一。铁矿床及蚀变围岩中的大量硬石膏主要来自膏盐层;膏盐层为铁的成矿作用提供了大部分硫和矿化剂元素。在此基础上,建立了泥河铁矿床的两期成矿模式,即中晚三叠世含膏盐地层的沉积作用期(预备成矿期)和早白垩世的岩浆热液成矿期。     

铁同位素的MC-ICP-MS测定方法与地质标准物质的铁同位素组成

详细报道了在低分辨和高分辨模式下运用MC-ICP-MS进行Fe同位素比值高精度测试的方法,对Fe同位素测定过程中谱峰干扰、基质效应、浓度效应、仪器测试的长期重现性等问题进行了评估,并对两种运行模式的测试结果进行了对比.在95%的可信度范围内,所建方法的外部精度优于0.5ε/ainu,达到国际同类实验室的先进水平,并且低分辨和高分辨两种模式下获得的Fe同位素测试结果是一致的.在此基础上对国家地质标准物质GBW07105(玄武岩)和GBW 07111(花岗闪长岩)进行了Fe同位素测定.相对于Fe同位素国际标样IRMM-014,GBW07105的Fe同位素成分为:ε57Fe=1.9±0.3(20),ε56Fe=1.3±0.2(2σ),ε57/56Fe=0.6±0.1(2σ);GBW 07111的Fe同位素成分为:ε57Fe=1.8±0.4(2σ),ε56Fe=1.2±0.2(2σ),ε57/56Fe=0.6±0.1(2σ).     

关键金属元素分析测试技术方法应用进展

以稀有、稀散、稀土、铂族元素为主体的战略性关键金属矿产资源,在新材料、新能源和信息技术等新兴产业中发挥着越来越关键的作用。随着我国关键矿产资源地质调查的不断深入,关键金属元素以其赋存基体复杂、不同矿物含量差异大、化学性质不稳定等特点对分析测试技术提出了新的挑战。本文根据化学组成不同,对关键金属元素主要赋存基体进行了分类,主要分为硅酸盐、碳酸盐、硫酸盐、钨酸盐、磷酸盐、氧化物、硫化物、卤化物等。对于不同的基体岩石矿物,通常采用酸溶法(硝酸-氢氟酸组合、王水)或碱熔法等传统溶样方法进行化学消解。评述了当前关键金属元素测试常用的电子探针、电感耦合等离子体质谱、电感耦合等离子体发射光谱、X射线荧光光谱等仪器的特点及应用,总结了关键金属元素分析过程中出现的样品难溶解、回收率不完全、测试过程氧化物和同质异位素干扰、样品和标准基体不一致等常见问题,并提出了相应的解决方案。微区原位分析凭借其高效率、低成本、高空间分辨率的优势,以及野外现场分析凭借其简单快速、贴近野外工作的特点是关键金属元素测试技术发展的主要趋势。     

Vertical structures of PM10 and PM 2.5 and their dynamical character in low atmosphere in Beijing urban areas

The vertical structures and their dynamical character of PM2.5 and PM10 over Beijing urban areas are revealed using the 1 min mean continuous mass concentration data of PM2.5 and PM10 at 8, 100, and 320 m heights of the meteorological observation tower of 325 m at Institute of Atmospheric Physics, Chinese Academy of Sciences (IAP CAS tower hereafter) on 10―26 August, 2003, as well as the daily mean mass concentration data of PM2.5 and PM10 and the continuous data of CO and NO2 at 8, 100 (low layer), 200 (middle layer), and 320 m (high layer) heights, in combination with the same period meteorological field observation data of the meteorological tower. The vertical distributions of aerosols observed on IAP CAS tower in Beijing can be roughly divided into two patterns: gradually and rapidly decreasing patterns, I.e. The vertical distribution of aerosols in calm weather or on pollution day belongs to the gradually decreasing pattern, while one on clean day or weak cold air day belongs to the rapidly decreasing pattern. The vertical distributive characters of aerosols were closely related with the dynamical/thermal structure and turbulence character of the atmosphere boundary layer. On the clean day, the low layer PM2.5 and PM10 concentrations were close to those at 8 m height, while the concentrations rapidly decreased at the high layer, and their values were only one half of those at 8 m, especially, the concentration of PM2.5 dropped even more. On the clean day, there existed stronger turbulence below 150 m, aerosols were well mixed, but blocked by the more stronger inversion layer aloft, and meanwhile, at various heights, especially in the high layer, the horizontal wind speed was larger, resulting in the rapid decrease of aerosol concentration, I.e. Resulting in the obvious vertical difference of aerosol concentrations between the low and high layers. On the pollution day, the concentrations of PM2.5 and PM10 at the low, middle, and high layers dropped successively by, on average, about 10% for each layer in comparison with those at 8 m height. On pollution days, in company with the low wind speed, there existed two shallow inversion layers in the boundary layer, but aerosols might be, to some extent, mixed below the inversion layer, therefore, on the pollution day the concentrations of PM2.5 and PM10 dropped with height slowly; and the observational results also show that the concentrations at 320 m height were obviously high under SW and SE winds, but at other heights, the concentrations were not correlated with wind directions. The computational results of footprint analysis suggest that this was due to the fact that the 320 m height was impacted by the pollutants transfer of southerly flow from the southern peripheral heavier polluted areas, such as Baoding, and Shijiazhuang of Hebei Province, Tianjin, and Shandong Province, etc., while the low layer was only affected by Beijing's local pollution source. The computational results of power spectra and periods preliminarily reveal that under the condition of calm weather, the periods of PM10 concentration at various heights of the tower were on the order of minutes, while in cases of larger wind speed, the concentrations of PM2.5 and PM10 at 320 m height not only had the short periods of minute-order, but also the longer periods of hour order. Consistent with the conclusion previously drawn by Ding et al., that air pollutants at different heights and at different sites in Beijing had the character of "in-phase" variation, was also observed for the diurnal variation and mean diurnal variation of PM2.5 and PM10 at various heights of the tower in this experiment, again confirming the "in-phase" temporal/spatial distributive character of air pollutants in the urban canopy of Beijing. The gentle double-peak character of the mean diurnal variation of PM2.5 and PM10 was closely related with the evident/similar diurnal variation of turbulent momentum fluxes, sensible heat fluxes, and turbulent kinetic energy at various heights in the urban canopy. Besides, under the condition of calm weather, the concentration of PM2.5 and PM10 declined with height slowly, it was 90% of 8 m concentration at the low layer, a little lesser than 90% at the middle layer, and 80% at the high layer, respectively. Under the condition of weak cold air weather, the concentration remarkably dropped with height, it was 70% of 8 m concentration at the low layer, and 20%―30% at the middle and high layers, especially the concentration of PM2.5 was even lower.     

承德市臭氧污染气象条件预报方法研究

利用2014-2016年承德市环境监测站和气象站的数据,分析了气象条件对承德市O₃-8h浓度的影响,探讨了臭氧污染气象条件的预报方法。结果表明：4-7月是承德市O₃-8h浓度较高的月份,O₃浓度的日变化特征为午后浓度高而夜间浓度低;O₃污染的天气形势为500 hPa受高压脊和偏西气流影响,850 hPa有强暖平流和20℃以上的高温,地面受低压前部和高压后部之间的偏南气流影响;有利于O₃-8h出现高浓度的气象因子为日平均气温大于23℃、日最高气温大于28℃、日平均海平面气压995-1007 hPa、日平均水汽压18-28 hPa、偏南风大于1 m·s^-1。利用气象因子综合评分建立臭氧污染指数,与O₃-8h浓度的相关系数高达0.7553,说明臭氧污染指数能较好地预报臭氧污染天气。     

RegCM-Dust模式对东亚一次沙尘暴天气过程模拟的效果检验

为检验区域气候模式与沙尘模式耦合模式RegCM Dust的性能,以2006年东亚地区一次沙尘暴过程为例,将模拟结果与观测资料进行对比,以检验模式对沙尘天气过程的模拟能力。结果表明：模式对沙尘暴过程的地面风场特征模拟效果较好,总体上重现了大风区的分布;地面沙尘浓度和沙尘光学厚度模拟结果与观测分布总体吻合。模式虽然是区域气候模式与沙尘模式耦合模式,但由于其内核是建立在中尺度数值模式MM4基础上,因此对天气过程尤其是沙尘天气过程具备较好的把握能力,对于沙尘天气过程预测具有良好的应用前景。     

川滇地区电离层多参量异常监测系统的设计与实现

介绍了川滇地区电离层多参量异常监测系统的设计思路与功能实现,并将该系统应用于2019年6月17日四川长宁MS6.0地震的监测试验.结果表明:该系统实现了全球和中国区域垂直总电子含量VTEC、站点VTEC和F2层临界频率foF2异常变化的实时监测,有助于开展示范性地震电离层异常监测工作,其图形及数据结果可为地震-电离层异...     

河南东濮凹陷古近系沙河街组盐岩沉积特征及成因

东濮凹陷是渤海湾盆地的一个次级构造单元，其古近系的两个沉积旋回发育了四套盐岩，分别位于沙河街组第三段的第四亚段(S34)、第三亚段(S33)、第二亚段(S32)和沙河街组的第一段(S1)。主要分布在凹陷北部。每套盐岩又由若干个盐韵律组成，每一单韵律由盐岩和泥岩组成。两套等时对比标志层（深湖沉积）之间盐岩与砂泥岩存在着相变关系。盐岩是在深盆背景下干旱成因的，盐类物质来自地下深处上涌的卤水，分层卤水是盐形成的基本形式，上涌通道是基底大断裂，动力基础是岩浆活动。盐的阻隔作用使其对下部地层的温度、压力均有影响，这种影响有利于加快盐下地层中的有机质成熟与演化。盐又是良好的盖层，且在高温、高压下盐呈塑性状态。勘探实践看出东濮凹陷的岩性油气藏与盐岩的沉积有密切的关系，因此搞清盐岩的分布规律对东濮凹陷下步勘探有着极为重要的意义。     

风沙流中沙粒浓度分布的实验研究

利用粒子图像测速技术（PIV）,在风洞内对与天然沙接近的石英沙风沙流沙颗粒浓度沿高度分布进行了研究。对 3种不同轴线风速研究结果表明,风沙流中沙粒浓度沿水平方向基本不变,而随高度呈指数衰减,而且其衰减速率与风速密切相关。风速越大,衰减速率越慢;风速越小,衰减速率越快。风沙运动一旦发生时,靠近沙床表面的沙粒浓度随风速变化很小,可以认为趋于稳定,达到最大值。