The Oligocene Lund Tuff, Great Basin, USA: a very large volume monotonous intermediate

Unusual monotonous intermediate ignimbrites consist of phenocryst-rich dacite that occurs as very large volume (>1000 km³) deposits that lack systematic compositional zonation, comagmatic rhyolite precursors, and underlying plinian beds. They are distinct from countless, usually smaller volume, zoned rhyolite–dacite–andesite deposits that are conventionally believed to have erupted from magma chambers in which thermal and compositional gradients were established because of sidewall crystallization and associated convective fractionation. Despite their great volume, or because of it, monotonous intermediates have received little attention. Documentation of the stratigraphy, composition, and geologic setting of the Lund Tuff – one of four monotonous intermediate tuffs in the middle-Tertiary Great Basin ignimbrite province – provides insight into its unusual origin and, by implication, the origin of other similar monotonous intermediates.The Lund Tuff is a single cooling unit with normal magnetic polarity whose volume likely exceeded 3000 km³. It was emplaced 29.02±0.04 Ma in and around the coeval White Rock caldera which has an unextended north–south diameter of about 50 km. The tuff is monotonous in that its phenocryst assemblage is virtually uniform throughout the deposit: plagioclase>quartz≈hornblende>biotite>Fe–Ti oxides≈sanidine>titanite, zircon, and apatite. However, ratios of phenocrysts vary by as much as an order of magnitude in a manner consistent with progressive crystallization in the pre-eruption chamber. A significant range in whole-rock chemical composition (e.g., 63–71 wt% SiO₂) is poorly correlated with phenocryst abundance.These compositional attributes cannot have been caused wholly by winnowing of glass from phenocrysts during eruption, as has been suggested for the monotonous intermediate Fish Canyon Tuff. Pumice fragments are also crystal-rich, and chemically and mineralogically indistinguishable from bulk tuff. We postulate that convective mixing in a sill-like magma chamber precluded development of a zoned chamber with a rhyolitic top or of a zoned pyroclastic deposit. Chemical variations in the Lund Tuff are consistent with equilibrium crystallization of a parental dacitic magma followed by eruptive mixing of compositionally diverse crystals and high-silica rhyolite vitroclasts during evacuation and emplacement. This model contrasts with the more systematic withdrawal from a bottle-shaped chamber in which sidewall crystallization creates a marked vertical compositional gradient and a substantial volume of capping-evolved rhyolite magma. Eruption at exceptionally high discharge rates precluded development of an underlying plinian deposit.The generation of the monotonous intermediate Lund magma and others like it in the middle Tertiary of the western USA reflects an unusually high flux of mantle-derived mafic magma into unusually thick and warm crust above a subducting slab of oceanic lithosphere.     

强矿震地球物理过程及短临阶段预测的研究

用区域强震震源机制解、现场地应力测量、三维有限差分数值模拟方法分析强矿震的孕震环境；通过定量观察采矿与矿震活动的相关性，分析强矿震的诱发原因；基于中尺度地震实验场高密度数字地震和前兆台网的现场观测，用地震学方法和小波工具分析强矿震孕震过程采集到的数据，提取短临阶段的异常信息；通过强矿震的震源机制解判断震源处的应力释放状态。提出地质构造环境、地应力场和采矿活动共同作用诱发强矿震的机理和次生应力场在孕育该震过程起主导作用的观点．发现震前短临阶段存在可信的b值、η值、频次、波速比等地震学异常和定点潮汐形变前兆异常，时异常信息的提取方法和强矿震短临阶段的预测进行了探讨。     

雷达资料在一次大范围冰雹天气过程中的同化试验分析

基于华南区域高分辨率数值模式,采用牛顿连续松弛逼近法(nudging)同化C波段多普勒雷达反射率资料,针对2018年4月2日贵州一次大范围冰雹天气过程进行了数值模拟试验.分析结果表明:在模式中进行雷达反射率因子信息nudging同化后,调整了分析场中的水凝物信息和热力场结构,对流层中层的雨水和冰相粒子含量均增加,水凝物...     

非负矩阵分解基向量分析及其在矿产预测中的应用

针对矿产预测数据具有复杂性以及矿质异常信息具有稀疏性的问题,基于非负矩阵分解的非负性和降维的特点,结合稀疏性,提出一种基于NMF基向量分析的矿产预测数据处理方法,并对基向量和原变量以及基向量之间的关系进行分析。广东新寮岽铜多金属矿区数据实验结果表明,NMF方法在不同特征值和相似稀疏度的条件下的基向量形态基本稳定,在保留找矿信息的同时可有效地实现对矿产预测数据的稀疏化。NMF方法对于矿产预测具有重要的实际意义。     

RegCM4.6两种积云参数化方案在东亚模拟结果的评估

新一代区域气候模式RegCM4.6引进了Mix积云参数化方案,可以将之前版本中的Emanuel和Grell方案结合在一起,以弥补单个参数化方案的不足。利用2016年MODIS(Moderate-resolution imaging spectroradiometer)数据对RegCM4.6中Mix和Emanuel积云参数化方案模拟的东亚云量(Cloud fraction,CF)、冰水柱含量(Ice water path,IWP)和液水柱含量(Liquid water path,LWP)进行初步评估,计算了相关系数(r)、平均绝对误差(Mean absolute error,MAE)、平均偏差(Mean bias error,MBE)和均方根误差(Root mean square error,RMSE),以便为相关研究选取积云参数化方案提供参考依据。结果表明：(1)模拟的CF的MBE大致以胡焕庸线为界,西北部为轻微高估,东南部通常为低估。2种方案在夏季的模拟效果最好,冬季最差。Mix方案的MAE、MBE和RMSE的绝对值在四季普遍小于Emanuel方案。(2)模式明显低估了东亚的IWP,...     

东中部地区城市人口、经济与城市建设用地的非均衡与协调性分析

基于2000、2015年中国东中部地区261个地级市统计与土地利用数据,运用空间自相关模型,变异系数和三元协调度模型分析其城市人口、GDP和城市建设用地的空间集聚态势和非均衡变化过程,揭示人口城市化与土地城市化的协调程度。结果显示：（1）城市人口、GDP和建设用地的Moran’s I指数均为正值且2015年的值大于2000年的值,显示出明显的空间集聚特征,且在2000—2015年集聚特征不断加强;（2）城市人口密度和人均GDP的变异系数分别从2000年的1.38和0.91下降到2015年的0.96和0.70,地均GDP从1.32上升到1.77,表明城市人口密度和地均GDP的差异在逐步减小,但地均GDP的不均衡性却在增大;（3）2015年,共有171个地级市城市用地规模增长弹性系数小于1.12且人均城市用地小于115m²,但有104个地级市地均GDP在1000元/m²以下,表明虽然绝大部分地级市城市化规模和速率都在可控范围之内,城市用地经济产出仍然相对较低;（4）90%以上地级市的城市人口、GDP和城市建设用地三者在两个研究时间段内处于协调发展状态。     

基于SCI-E的2010—2014年美国海洋学研究热点分析

基于科学引文索引数据库SCI-E, 检索获得2010—2014年美国海洋学研究型文献9 702篇, 在确定文献集中词频不低于40的54个高频关键词基础上, 运用共词分析法, 以SPSS 20.0为工具, 探索美国近5年海洋学研究热点。结果表明, 2010—2014年间美国海洋学研究热点集中在6大主题领域: 海洋环流动力学研究、海洋灾害研究、科学技术和方法在海洋中的应用研究、海洋初级生产力研究、海洋污染研究、海洋生物多样性研究。在此基础上, 运用社会网络分析法, 借助可视化工具Ucinet, 对6大研究主题和高频作者共现矩阵进行可视化, 揭示出各研究主题的作者团体。     

陕西一次强沙尘暴过程诊断与分析

2006年陕西共发生沙尘天气13次,其中4月11日的沙尘天气最为严重,危害最大,这也是陕西近10 a来最为严重的一次沙尘暴天气过程。这次沙尘天气带来一系列的天气演变过程,它持续时间虽然只有8~9 h,但覆盖面积大,影响范围广,全省70%~80%左右的区域都受到了影响。运用FY-2卫星红外云图及MICAPS2.0模式中的数值预报进行分析,发现红外云图呈现出异常状态,高低空形势配合较好,气压梯度、温度梯度密集,狂风突起等状况,试图揭示与解读沙尘天气在发生过程中某些气象因子的特征及其对沙尘天气的影响机理,为今后预报沙尘暴强度和发生区域提供一定的理论依据。     

西北太平洋Ms≥7.8级强震影响我国月季降水场的过程分析

地震与气候变化的关系现已成为一个研究热点.本文根据地球流体力学的长波理论,研究了强震地热涡的长波运动特性;分析了西太平洋M_s≥7.8级强震与我国月降水场的对应关系.研究结果表明,与强震相伴的地热涡尺度超过850 km时,它会向西退行,从而影响我国月季降水场的相应演变.利用上述结果,对2007年我国汛期降水分布进行了预报,实况证明此方法可行.     

Multivariate statistical analysis of geochemical data as indicative of the hydrogeochemical evolution of groundwater in a sedimentary rock aquifer system

The study of groundwater hydrogeochemistry of the Paleozoic Basses-Laurentides sedimentary rock aquifer system in Québec produced a large geochemical dataset. Groundwater samples were collected at 153 sites over a 1500 km² study area and analyzed for major and minor ions. The large number of data can lead to difficulties in the integration, interpretation and representation of the results. Two multivariate statistical methods, hierarchical cluster analysis (HCA) and principal components analysis (PCA), were applied to a subgroup of the dataset to evaluate their usefulness to classify the groundwater samples, and to identify geochemical processes controlling groundwater geochemistry. This subgroup consisted of 144 samples and 14 parameters (Ca²⁺, Mg²⁺, Na⁺, K⁺, , Cl⁻, , Fe²⁺, Mn²⁺, Br⁻, Sr²⁺, F⁻, Ba²⁺, HS⁻). Seven geochemically distinct clusters, C1–C7, resulted from the HCA. Samples from clusters C3, C4, C6 and C7 are mostly located in preferential recharge areas. The majority of these samples have Ca–Mg–HCO₃ recharge groundwater (C3, C6, C7) and Na–HCO₃ evolved groundwater (C4). Samples from the other three clusters (C1, C2, C5) are characteristic of an aquifer system under confined conditions. The majority of these samples have Na–HCO₃ evolved groundwater (C1, C5) and Na–Cl ancient groundwater that exhibits elevated concentrations in Br⁻ (C2). In addition to recognizing the importance of hydrogeological conditions on groundwater geochemistry, the distribution of clusters also showed the importance of the geological formations on minor and trace elements, such as Fe²⁺, Mn²⁺, Sr²⁺, F⁻ and Ba²⁺. The first five components of the PCA account for 78.3% of the total variance in the dataset. Component 1 is defined by highly positive loadings in Na⁺, Cl⁻ and Br⁻ and is related to groundwater mixing with Champlain Sea water and solute diffusion from the marine clay aquitard. The high positive loadings in Ca²⁺ and Mg²⁺ of component 2 suggest the importance of dissolution of carbonate rocks in this aquifer system. From their characteristic loadings, the first two components are defined as the “salinity” and “hardness” components, respectively. Components 3–5 are related to more local and geological effects. The integration of the HCA and the PCA, with conventional classification of groundwater types, as well as with the hydrogeological and geological contexts, allowed the division of the region into four main geochemical areas, providing an improved regional picture of the aquifer system dynamics and hydrogeochemical evolution of groundwater. The following factors were recognized as influencing the evolution of groundwater identified in every geochemical area: (1) geological characteristics including sedimentary rock type and till mineralogy; (2) hydrogeological characteristics represented by the level of confinement and the hydraulic gradient; and (3) the geological history including the latest glaciation and the Champlain Sea invasion. With its integrated approach, this hydrogeochemical study contributes to the characterization and understanding of complex groundwater flow systems, and provides an example of the long-term geochemical evolution of hydrogeological systems after a major perturbation, in this case seawater invasion.