“火珠”的宝石学成分探讨

在佛经与我国史籍中均记载有一种名为＂火珠＂的宝石,但其宝石学成分究竟是什么,历来争论颇大。三国时期,＂火珠＂开始从外国进口,被帝王看作是祥瑞的标志。晋代时期其用于装饰皇太子的玉具剑。隋唐时期,其价值进一步提升,专用于装饰皇帝的玉具剑。自唐朝末年开始,＂火珠＂一词的宝石学意义逐渐减弱。探讨＂火珠＂有助于了解中国古代宝石的使用情况,对构建中国古代宝石学具有重要意义。从＂火珠＂的产地、颜色、稀有性等宝石学特征以及与出土宝石实物比照,对其成分进行了较详细的论证。结果发现,＂火珠＂是巴利文＂Phalika＂（＂颇黎＂）以及梵文＂Sphatika＂（＂塞颇胝迦＂）的意译。＂火珠＂也就是＂颇黎＂,并不是我国常见的水晶,最可能为无色刚玉。     

Nonlinear incremental analysis of fire-damaged r.c. base-isolated structures subjected to near-fault ground motions

Amplification of structural response of r.c. base-isolated structures is expected under near-fault ground motions, yet there is a lack of knowledge of their behavior in the case of fire. To investigate the nonlinear seismic response following a fire, an incremental dynamic analysis is carried out on five-storey r.c. base-isolated framed buildings with fire-protected High-Damping-Laminated-Rubber Bearings (HDLRBs), designed in line with the Italian seismic code. Horizontal components of near-fault ground motions characterized by forward-directivity or fling-step pulse-type are considered. The nonlinear seismic response of base-isolated structures in a no fire situation is compared with that in the event of fire, at 45 (i.e. R45) and 60 (i.e. R60) minutes of fire resistance, assuming both damaged (i.e. DS) and repaired (i.e. RS) stiffness conditions. Five fire scenarios are considered assuming the fire compartment confined to the area of the first level (i.e. F1), the first two (i.e. F1/2) and the upper (i.e. Fi, i=3–5) levels, with the parametric temperature–time fire curve evaluated in accordance with Eurocode 1. The nonlinear seismic analysis is performed by using a step-by-step procedure based on a two-parameter implicit integration scheme and an initial-stress-like iterative procedure. At each step of the analysis, plastic conditions are checked at the critical (end) sections of the girders and columns, where thermal mapping with reduced mechanical properties is evaluated with the 500 °C isotherm method proposed by Eurocode 2. A viscoelastic model with variable stiffness properties in the horizontal and vertical directions, depending on the axial force and lateral deformation, simulates the response of an HDLRB.     

高大空间消防电气设计——山西省图书馆火灾报警系统设计实例简介

文章介绍了山西省图书馆火灾报警系统设计实例。针对建筑物中庭的高大空间,采用双波段火灾探测器,有效探测火灾火焰和火灾烟气;采用微机信息处理系统构成了集火灾识别、火灾定位、现场监控、消防炮扑救于一体的火灾安全监控及联动灭火系统;同时辅以搭建于闭路电视监控系统平台上的视频火灾安全监控系统,满足了图书馆建筑对于早期火灾报警的特殊需要。     

秸秆焚烧对区域城市空气质量影响的模拟分析

利用融合火点排放源、人为源和生物源的WRF-Chem(Weather Research and Forecasting Model coupled with Chemistry)模式,模拟2015年9月30日08:00(北京时间)起的72 h发生在淮河流域的一次农作物秸秆大面积露天焚烧过程,研究了农作物秸秆焚烧释放的气态污染物和颗粒物对区域城市空气质量的影响。通过有无火点两组试验分析了此次秸秆焚烧对流域内河南、山东、江苏和安徽四省83座城市CO、PM10(空气动力学当量直径小于等于10μm的颗粒物,即可吸入颗粒物)、PM2.5(空气动力学当量直径小于等于2.5μm的颗粒物,即细颗粒物)和O3浓度的定量影响,结果表明:(1)融合NCAR-FINN(Fire Inventory from NCAR)火点排放资料的WRF-Chem模式较好地再现了此次秸秆焚烧及火点烟羽扩散过程。同时结合EDGAR-HTAP(Emission Database for Global Atmospheric Research on Hemispheric Transport of Air Pollution)人为源和MEGAN(Model of Emission of Gases and Aerosols from Nature)生物源的WRF-FIRE(考虑火点排放试验)对流域内城市大气污染物的模拟效果较为理想,尤其对秸秆焚烧释放的污染物CO、PM10和PM2.5和产生的二次污染物O3浓度的模拟。(2)秸秆焚烧所释放的污染物造成流域内城市一次污染物CO、PM10和PM2.5浓度的增加,火点中心和下风向城市增幅最为明显,最大小时浓度增幅达到3倍标准差。气态污染物CO和相比PM10粒径更小的PM2.5可随风扩散至更远的地区,对城市浓度影响更大。(3)此外,秸秆焚烧也使得火点中心城市和下风向城市二次污染物O3浓度增加,但小时浓度增幅极值区分布在火点下风向烟羽末端太阳光照充足的地区,最大小时浓度增幅接近3倍标准差。秸秆焚烧对区域城市空气质量的影响存在明显的空间分布差异且对城市各大气污染成分的影响也不相同。     

大火历史及其与古气候关系研究

火广泛地存在于自然界和人类社会中,并在现代生态系统的形成过程中扮演了重要角色。沉积物中的元素碳记录了大火发生的历史,对之进行定量分析可得到大火频率的长期记录,分析方法包括显微镜观察和化学氧化处理。化学方法通常是用HCl-HF酸溶解碳酸盐及硅酸盐,再通过氧化反应去除有机物。几种沉积相中大火历史研究实例表明,大火改变了植被格局,进而影响区域气候;燃烧排放的气体和颗粒对大气化学性质也产生重大影响。     

山西大同台短水准的异常识别

给出４点组斜率信息法的理论模型,分析了大同台短水准测量结果,证明几次中强地震前大同台短水准均有明显的中、短期异常;同时发现跨断层测站高差曲线能较好地反映震前短、临异常的变化。     

用相关系数法匹配色谱图形鉴别海面溢油源

用皮尔逊相关系数法匹配色谱图形,根据溢油与可疑油的相似性鉴别溢油源。通过风化实验,研究出六个受风化影响很小的油色谱峰作为信息点,用K-最邻近分类法鉴别非常相似的油品。     

Vegetation changes in the Neotropical Gran Sabana (Venezuela) around the Younger Dryas chron

The occurrence of the Younger Dryas cold reversal in northern South America midlands and lowlands remains controversial. We present a palaeoecological analysis of a Late Glacial lacustrine section from a midland lake (Lake Chonita, 4.6501 °N, 61.0157 °W, 884 m elevation) located in the Venezuelan Gran Sabana, based on physical and biological proxies. The sediments were mostly barren from ～15.3 to 12.7 k cal a BP, probably due to poor preservation. A ligneous community with no clear modern analogues was dominant from 12.7 to 11.7 k cal a BP (Younger Dryas chronozone). At present, similar shrublands are situated around 200 m elevation above the lake, suggesting a cooling‐driven downward shift in vegetation during that period. The interval from 11.7 to 10.6 k cal a BP is marked by a dramatic replacement of the shrubland by savannas and a conspicuous increase in fire incidence. The intensification of local and regional fires at this interval could have played a role in the vegetation shift. A change to wetter, and probably warmer, conditions is deduced after 11.7 k cal a BP, coinciding with the early Holocene warming. These results support the hypothesis of a mixed origin (climate and fire) of the Gran Sabana savannas, and highlight the climatic instability of the Neotropics during the Late Glacial. Copyright © 2011 John Wiley & Sons, Ltd.     

滑坡滑面(带)的辩识

滑面（带）的识别是滑坡调查中的关键性问题之一,它对于滑坡稳定性研究及工程整治设计具有重要意义。本文将滑坡滑面（带）的基本类型分为岩质滑面、堆积层滑面及土质滑面,并从滑面的地质特征如镜摩擦面、擦痕、泥化带、定向排列的菱形剪力体等方面入手,归纳出滑坡滑面的主要识别方法,包括简易力学分析、野外地质判断、现场勘探、位移监测和地球物理探测等,并分别阐述了它们的适用性。     

A signal-to-noise index to quantify the potential for peak detection in sediment-charcoal records

Charcoal peaks in lake-sediment records are commonly used to reconstruct fire histories spanning thousands of years, but quantitative methods for evaluating the suitability of records for peak detection are largely lacking. We present a signal-to-noise index (SNI) that quantifies the separation of charcoal peaks (signal) from other variability in a record (noise). We validate the SNI with simulated and empirical charcoal records and show that an SNI > 3 consistently identifies records appropriate for peak detection. The SNI thus offers a means to evaluate the suitability of sediment-charcoal records for reconstructing local fires. MATLAB and R functions for calculating SNI are provided.