Crystallization conditions of peraluminous charnockites: constraints from mineral thermometry and thermodynamic modelling

Most igneous charnockites are interpreted to have crystallized at hot and dry conditions, i.e. at >800?°C and <3 wt.% H₂O and with an important CO₂ component in the system. These charnockites are metaluminous to weakly peraluminous and their formation involves a significant mantle-derived component. This study, in contrast, investigates the crystallization conditions of strongly peraluminous, metasediment-sourced charnockites from the Qinzhou Bay Granitic Complex, South China. To constrain the temperature-melt H₂O crystallization paths for the studied peraluminous charnockites, petrographic characterization was combined with fluid inclusion compositional data, mineral thermometry, and thermodynamic modelling. The uncertainties of the thermodynamic modelling in reconstructing the crystallization conditions of the granitic magmas have been evaluated by comparison between modelled and experimental phase relations for a moderately evolved, peraluminous granite (~70 wt.% SiO₂). The comparison suggests that the modelling reproduces the experimentally derived phase saturation boundaries with uncertainties of 20–60?°C and 0.5–1 wt.% H₂O for systems with ≤1–2 wt.% initial melt H₂O at ~0.2 GPa. For the investigated natural systems, the thermometric estimates and modelling indicate that orthopyroxene crystallized at relatively low temperature (750–790?±?30?°C) and moderately high to high melt H₂O content (3.5–5.6?±?0.5 wt.%). The charnockites finally solidified at relatively “cold” and “wet” conditions. This suggests that thermodynamic modelling affords a possible approach to constrain charnockite crystallization as tested here for peraluminous, moderately low pressure (≤0.3 GPa), and overall H₂O-poor systems (≤1–2 wt.% H₂O total), but yields results with increasing uncertainty for high-pressure or H₂O-rich granitic systems.     

外力扰动加剧与澜沧—耿马大地震的爆发

构造运动强烈、不断发生强震的云南地壳,可能经常有部分区域处于不稳定状态,外力也正是在此基础上才得以对地震活动显示出明显的调制效应。1988年11月6日澜沧—耿马7.6级、7.2级大地震前的大量观测资料表明,云南地区,特别是澜沧—耿马附近地区又再次出现了类似1970年通海7.7级、1974年大关7.1级和1976年龙陵7.4级大地震之前,曾发生过的那种地表涝旱剧变和大气压力巨涨落现象。这种震前的外部异常扰动具有很强的重复性,在对应地震上也显示了很强的应验性,故其很有可能在云南未来7级大地震的监视预报中发挥作用。     

Coupled DEM-CFD investigation on the formation of landslide dams in narrow rivers

Large-scale landslide dams can induce significant hazards to human lives by blocking the river flows and causing inundation upstream. They may trigger severe outburst flooding that may devastate downstream areas once failed. Thus, the advancement in understanding the formation of landslide dams is highly necessary. This paper presents 3D numerical investigations of the formation of landslide dams in open fluid channels via the discrete element method (DEM) coupled with computational fluid dynamics (CFD). By employing this model, the influence of flow velocity on granular depositional morphology has been clarified. As the grains settle downwards in the fluid channel, positive excess water pressures are generated at the bottom region, reducing the total forces acting on the granular mass. In the meantime, the particle sedimentations into the fluid channel with high impacting velocities can generate fluid streams to flow backwards and forwards. The coupled hydraulic effects of excess water pressure and fluid flow would entrain the solid grains to move long distances along the channel. For simulations using different flow velocities, the larger the flow velocity is, the further distance the grains can be transported to. In this process, the solid grains move as a series of surges, with decreasing deposit lengths for the successive surges. The granular flux into the fluid channel has very little influence on the depositional pattern of particles, while it affects the particle–fluid interactions significantly. The results obtained from the DEM-CFD coupled simulations can reasonably explain the mechanisms of granular transportation and deposition in the formation of landslide dams in narrow rivers.     

加密自动站资料在强对流天气分析预报中的应用

利用常规分析资料、雷达产品和太原地面加密自动站资料,对2008年6月28日出现在太原地区的一次强对流天气过程进行了分析,结果发现:①高空冷涡和中低空暖湿气团配置为此次强对流天气提供了有利的环流背景条件。②雷达回波的形状、结构、VIL均显示出强对流特征,速度辐合区与地面中尺度辐合线相对应,垂直方向存在强烈的风切变。③逐小时变温场显示出冷空气入侵路径、强度,负变温中心未来成为强对流天气区。④地面中尺度辐合线是强对流发生的触发机制,逐小时变压场的负中心与随后出现的灾害性天气区有效对应。⑤对流发生前,单站气象要素出现显著的不连续变化,气压和湿度呈同位相变化,与气温变化则反位相,3者在对流发生前1h同步出现谷(峰)值,灾害天气出现在之后的要素陡升(降)时段内。     

Mechanism of collision model for bedload transport

The current study introduces a new particle–particle collision model as well as a classical particle–wall collision model to simulate the process of bedload transport. Large eddy simulation and two-way coupling Lagrangian point–particle models also are applied. Flow conditions for all simulations are done based on previous experiments and four comparison cases are studied. The bedload function result obtained using this model agrees with the previous studies, which proves that the model is reasonable and effective in dealing with bedload transport in turbulent flow. Otherwise, failure to consider the particle–particle collision, Basset force, or Saffman lift force in the model lead to underestimating the bedload transport rate.     

虚拟化在气象局数据中心的应用

通过对虚拟化技术的研究,结合泰州气象局机房布局、数据中心服务器、存储的应用情况以及新业务的增长需求,提出了有针对性的气象业务虚拟化的解决方案。通过新购刀片服务器、FC SAN存储、VMware软件以及对原有的服务器、存储、网络进行整合改造,搭建了气象业务的虚拟化运行模式,最终实现资源的统一调度管理,建成了一个通用性强、扩展性好、可用性高的数据中心。文章同时简述了虚拟化在数据中心的实施过程、应用注意事项、业务迁移适应性分析以及最终的效益。