贵州西南部峨眉山玄武岩分布区架底和大麦地金矿床金的赋存状态

贵州西南部峨眉山玄武岩分布区位于滇黔桂"金三角"北段,区内成矿地质条件优越、找矿前景较好.贵州省地矿局一0五地质大队根据黔西南地区金矿找矿建立的成矿模式,理论指导找矿,近年来成功新发现了赋存于峨眉山玄武岩中的架底大型金矿床和大麦地中型金矿床,在贵州西南部峨眉山玄武岩分布区乃至全国玄武岩分布区实现了原生金矿的重大找矿突破,架底、大麦地两个金矿床地质特征基本一致.通过详实的岩相学研究,并结合扫描电镜(SEM)、电子探针(EPMA)、激光剥蚀-等离子体质谱(LA-ICP-MS)和金物相分析研究,认为金主要以"不可见金"形式赋存于含砷黄铁矿和毒砂中.架底金矿床赋存于峨眉山玄武岩组中的金矿体(Ⅱ矿体)中的金主要以包裹金形式存在于硫化物中,其平均占有率达73.8％,其次为硅酸盐矿物中的金和游离金,其平均占有率分别为15.4％、8.8％;而赋存于构造蚀变体(SBT)中的金矿体(Ⅰ矿体)中的金主要以游离金形式存在,其平均占有率达90.6％,其次以包裹金形式存在于硫化物、硅酸盐矿物和碳酸盐矿物中,可能与样品受后期风化-氧化作用有关.大麦地金矿床赋存于峨眉山玄武岩组中的金矿体(Ⅱ矿体)中的金与赋存于构造蚀变体(SBT)中的金矿体(Ⅰ矿体)中的金的存在形式基本一致,主要以包裹金形式存在于硅酸盐矿物和硫化物中,其平均占有率分别为41.2％、35.6％,其次为游离金,其平均占有率为16.4％.     

典型风力条件及水力调度下太湖藻华高频时空动态监测

湖泊藻华问题已成为全球水生态环境领域面临的长期挑战,风力条件变化和引调水工程的水力调度能改变湖体水动力结构,对藻类的生长和聚集过程产生影响,进行该过程的精细化监测和机制分析对于湖泊藻华预报预警和应急处置具有重要意义。本研究基于Hiamwari-8/AHI卫星遥感高频监测数据,对比分析了归一化差异植被指数(NDVI)、增强植被指数(EVI)和浮游藻类指数(FAI) 3种不同指数对太湖藻华的反演效果,开展了典型风力条件下和水力调度下太湖藻华生消过程的持续监测分析。结果表明,FAI对藻华区域和非藻华区域的区分更加明显,其阈值提取的藻华面积与基于MODIS图像解译的藻华面积的相对误差最低,为-2.27%。当营养盐充足且水温持续保持在蓝藻大量生长增殖的阈值以上时,风力条件是导致太湖藻类迁移聚集的关键因子,风向主要影响藻类的水平迁移,使其进行方向性迁移并逐渐形成大面积藻华区域。风速主要影响藻类的垂向迁移并存在临界阈值,当风速低于约2.5 m/s的临界风速时,藻华面积随风速增加而增加;当风速高于临界风速时,藻华面积随风速增加而降低。水力调度对距离较近的贡湖湾区域具有显著影响,主要通过水动力扰动来影响...     

江西省浅水湖泊大型底栖无脊椎动物多样性特征和影响因素

2019年春、秋两季,对江西省76个湖泊的底栖动物进行了调查,在分析其群落结构和多样性的基础上,探讨了多样性与环境因子间的关系,旨在确定影响大型底栖无脊椎动物多样性的重要环境因子,以期为江西省湖泊的精准化管理提供科学依据和技术支持。两次调查共检出140个分类单元,以水生昆虫和软体动物为主,摇蚊类物种数占水生昆虫物种数的53.62%。富营养指示种(长足摇蚊属一种和摇蚊属一种)为春、秋两季的优势分类单元,湖沼典型种(长足摇蚊属一种、摇蚊属一种、石田螺属一种、苏氏尾鳃蚓和霍甫水丝蚓)的丰度变化导致了群落结构的季节变化。大型底栖无脊椎动物α多样性水平较低,基于PLSR和PLS-SEM的分析结果表明,影响大型底栖无脊椎动物多样性指标的环境因子既与藻类种群动态密切相关,也与水质状态有关。大型底栖无脊椎动物多样性与藻类种群状态存在稳定的联系,不受季节因素的影响,过高的藻类丰度不利于大型底栖无脊椎动物多样性的提高,而较好的水质状况有利于大型底栖无脊椎动物多样性的提高。为保护江西省湖泊大型底栖无脊椎动物资源,应在具有渔业养殖功能的湖泊和城镇湖泊中进行水生植物的修复工作,使藻型湖泊向草型湖泊方向演化;对一...     

地层水条件下碳酸盐矿物热力学平衡条件及其在克拉2气田的应用

基于热力学平衡理论及库车盆地的实际,建立了该区地层水温度、压力条件下方解石溶解、白云石对方解石交代作用的热力学平衡条件,并根据地层水介质特征探讨了该区方解石溶解、白云石交代方解石的具体成岩反应状况,认为该区地层水条件下正进行着方解石溶蚀及白云石对方解石的交代作用,方解石的溶蚀是形成该区深层次生孔隙的根本因素。      

内蒙古东南部地区夏季旱涝的环流特征分析及预测

主要从与内蒙古东南部地区(指赤峰市和通辽市)夏季旱涝关系密切的西太平洋副高、亚洲地区环流和蒙古冷涡三个主要的天气系统入手,分析旱涝年的环流差异。结果表明:⑴夏季蒙古冷涡偏多、副热带高压偏强和北半球盛行经向环流,是造成夏季降水偏多的主要环流形势;⑵冬季北半球极涡纬度和亚洲地区的环流指数对夏季环流形势有一定的指示意义;二者相互动态地影响了夏季旱涝,据此建立夏季旱涝预测模型。经过1995—2008年14年的实际应用,趋势准确率为85.7%。     

Scattering pattern analysis and true-amplitude generalized Radon transform migration for acoustic transversely isotropic media with a vertical axis of symmetry

In multi-parameter ray-based anisotropic migration/inversion, it is essential that we have an understanding of the scattering mechanism corresponding to parameter perturbations. Because the complex nonlinearity in the anisotropic inversion problem is intractable, the construction of true-amplitude linearized migration/inversion procedures is needed and important. By using the acoustic medium assumption for transversely isotropic media with a vertical axis of symmetry and representing the anisotropy with P-wave normal moveout velocity, Thomsen parameter δ and anelliptic parameter η, we formalize the linearized inverse scattering problem for three-dimensional pseudo-acoustic equations. Deploying the single-scattering approximation and an elliptically anisotropic background introduces a new linear integral operator that connects the discontinuous perturbation parameters with the multi-shot/multi-offset P-wave scattered data. We further apply the high-frequency asymptotic Green's function and its derivatives to the integral operator, and then the scattering pattern of each perturbation parameter can be explicitly presented. By naturally establishing a connection to generalized Radon transform, the pseudo-inverse of the integral operator can be solved by the generalized Radon transform inversion. In consideration of the structure of this pseudo-inverse operator, the computational implementation is done pointwise by shooting a fan of rays from the target imaging area towards the acquisition system. Results from two-dimensional numerical tests show amplitude-preserving images with high quality.     

A high accurate automated first-break picking method for seismic records from high-density acquisition in areas with a complex surface

As the application of high-density high-efficiency acquisition technology becomes more and more wide, the areas with complex surface conditions gradually become target exploration areas, and the first-break picking work of massive low signal-to-noise ratio data is a big challenge. The traditional method spends a lot of manpower and time to interactively pick first breaks, a large amount of interactive work affects the accuracy and efficiency of picking. In order to overcome the shortcoming that traditional methods have weak anti-noise to low signal-to-noise ratio primary wave, this paper proposes a high accurate automated first-break picking method for low signal-to-noise ratio primary wave from high-density acquisition in areas with a complex surface. Firstly, this method determines first-break time window using multi-azimuth spatial interpolation technology; then it uses the improved clustering algorithm to initially pick first breaks and then perform multi-angle comprehensive quality evaluation to first breaks according to the following sequence: ‘single trace → spread → single shot → multiple shots’ to identify the abnormal first breaks; finally it determines the optimal path through the constructed evaluation function and using the ant colony algorithm to correct abnormal first breaks. Multi-azimuth time window spatial interpolation technology provides the base for accurately picking first-break time; the clustering algorithm can effectively improve the picking accuracy rate of low signal-to-noise ratio primary waves; the multi-angle comprehensive quality evaluation can accurately and effectively eliminate abnormal first breaks; the ant colony algorithm can effectively improve the correction quality of low signal-to-noise ratio abnormal first breaks. By example analysis and comparing with the commonly used Akaike Information Criterion method, the automated first-break picking theory and technology studied in this paper has high picking accuracy and the ability to stably process low signal-to-noise ratio seismic data, has a significant effect on seismic records from high-density acquisition in areas with a complex surface and can meet the requirements of accuracy and efficiency for massive data near-surface modelling and statics calculation.     

Loading protocols for experimental seismic qualification of members in conventional and emerging steel frames

Quasi-static testing is one of the most commonly used experimental methods for examining the seismic performance of structural members. However, consistent loading protocols for experimental seismic qualification of members in emerging steel frames such as self-centering braced frames (SCBFs) as well as in some conventional ones including buckling-restrained braced frames (BRBFs) are still lacking. This paper aims to propose standardized loading protocols based on time-history dynamic analysis on a series of prototype building frames, including steel SCBFs, BRBFs, and moment-resisting frames (MRFs), where both far-field and near-fault earthquakes are considered. The methodology for the development of the loading protocols involves ground motion selection and scaling, design and analysis of prototype buildings, analysis results processing, and rainflow cycle counting, together with extra justification steps. The proposed loading protocols are consistently derived based on the MCE-level seismic hazard and 84^th percentile values of key seismic demand parameters. These parameters are number of damaging cycles N_t, maximum inter-story drift θ_max, inter-story drift range Δθ_i, sum of inter-story drift range ΣΔθ_i, and residual inter-story drift θ_r. The analysis confirms the variations in these seismic demands imposed on the different structural systems under different types of ground motions, highlighting the necessity of developing separate loading protocols for the different cases. The assumptions, decisions, and judgments made during the development of the loading protocols are elaborated, and the conditions and restrictions are outlined. The rationality of the proposed loading protocols is further justified through demonstrating the cumulative distribution function and energy dissipation demand of the systems.     

利用Himawari-8高频次监测太湖蓝藻水华动态

新一代静止气象卫星Himawari-8以其10 min/次的高观测频次,为连续动态监测蓝藻水华提供了有力的数据支持.基于太湖实地光谱测量资料,提出Himawari-8卫星资料太湖蓝藻水华动态监测方法.以2015年10月2日蓝藻水华发生过程为例,利用连续、多时次Himawari-8资料,动态监测了太湖蓝藻水华的发展变化,分析蓝藻水华的出现、发展和消失,计算蓝藻水华强度的动态变化,认识蓝藻水华程度及变化特征,估算蓝藻水华的动态变化速度.上述分析为研究蓝藻水华的生长消亡过程提供了支持.进一步探讨蓝藻水华动态变化与气象要素的关系,发现在相同的温湿条件下,风场对蓝藻水华的形成、运动和消失有直接的驱动作用.     

丹江口水库浮游植物群落时空变化及其与环境因子的关系

研究丹江口水库在完成高水位蓄水期间浮游植物群落的时空动态特征可为丹江口水库的水质保护与生态系统结构优化及健康管理提供一定科学依据。本研究基于2018—2020年的水库浮游植物监测数据,结合同期水库水体的理化参数,分析了丹江口水库浮游植物在不同年度、季度及空间的变化特征,以及影响浮游植物群落结构变化的主要环境因子。结果显示该区域共检测出浮游植物7个门类,其中蓝藻门、硅藻门、绿藻门、隐藻门为优势类群。2018—2020年浮游植物年均密度分别为1.96×10⁶、2.55×10⁶和5.07×10⁶ cells/L,呈现出逐年增高趋势。浮游植物季度密度表现为秋季>夏季>春季>冬季,在夏秋季节蓝藻门和绿藻门占优势,春冬季节硅藻门和隐藻门占优势,同时硅藻门在四季中均占据生长优势。空间上库区浮游植物密度明显高于支流,且汉江库区浮游植物密度高于丹江库区,其中蓝藻门和绿藻门主要在库区大量出现,而支流则以硅藻门和隐藻门为主。RDA分析显示,影响丹江口水库浮游植物的主要环境因子是水温,其次为化学需氧量、氨氮和总磷。在不同季节和...