Analysis of the alidade temperature behaviour of the medicina VLBI radiotelescope

Upgrading existing radiotelescopes to operate at higher frequencies requires not only a better reflecting surface accuracy, but also more precise pointing capability. To analyse the thermal behaviour of the 32 metre VLBI parabola at Medicina, we have installed accurate temperature sensors on the pedestal beams of the antenna and an inclinometer at the elevation axis. The thermal model presented here, starts from a structural Finite Elements Analysis of the radiotelescope and can closely predict the deformations measured by the inclinometer, even in the worst solar radiation conditions. This analysis allows also insights into future improvements.     

THE IMPACT OF THE CONTEMPORARY CLIMATIC CHANGE ON CHINAS THERMAL RESOURCES

ＴＨＥＩＭＰＡＣＴＯＦＴＨＥＣＯＮＴＥＭＰＯＲＡＲＹＣＬＩＭＡＴＩＣＣＨＡＮＧＥＯＮＣＨＩＮＡＳＴＨＥＲＭＡＬＲＥＳＯＵＲＣＥＳ￥ＬｉｕＹｕｎｆｅｎ（刘允芬）（ＣｏｍｍｉｓｓｉｏｎｆｏｒＩｎｔｅｇｒａｔｅｄＳｕｒｖｅｙｏｆＮａｔｕｒａｌＲｅｓｏｕｒｃ...     

Porothermoelastic analyses of anisotropic hollow cylinders with applications

It has been known that material anisotropy and thermal stresses affect borehole stability significantly. Aiming at the experimental studies associated with borehole stability in anisotropic (transversely isotropic) poroelastic materials subject to non‐isothermal conditions, this paper details and applies an anisotropic porothermoelastic solution to an unjacketed hollow cylinder in a triaxial set‐up. Numerical analyses are presented to demonstrate thermal and material anisotropy effects on the pore pressure and the stress concentrations in and around the geometry of a hollow cylinder subjected to thermal and stress perturbations. Copyright © 2004 John Wiley & Sons, Ltd.     

五极纵轴测深法在郑州地区热水资源勘探中的应用

郑州市区的地下热水来自增温地层，在使用电法勘探确定热水层位和埋深时，用五极纵轴测深法与对称四极测深法相结合，取得了良好的地质效果。     

棒在星系恒星形成中的作用

从理论Ｎ体模拟、射电辐射、红外辐射以及统计比较等几个方面，概述了棒在星系恒星形成中的作用，并讨论了在这一问题研究中出现的互相予盾的一些结果。     

地幔载流子热传导机制初步研究

本文采用Fermi量子统计方法,对地幔电导率和载流子热传导机制问题进行了理论上的探讨。讨论结果表明,在过渡带和下地幔中,以往被忽视的载流子热导将成为热传递的主要机制.此外,本文还指出在高温高压下活化能A对地幔电导率变化速率有重要影响。     

Comptonization in the vicinity of the black hole horizon

Using a Monte Carlo method, we derive spectra arising from Comptonization taking place close to a Kerr black hole. We consider a model consisting of a hot thermal corona Comptonizing seed photons emitted by a cold accretion disc. We find that general relativistic effects are crucial for the emerging spectra in models, which involve significant contribution of radiation produced in the black hole ergosphere. As a result of this contribution, spectra of hard X-ray emission produced in the vicinity of a rapidly rotating black hole strongly depend on the inclination of the line of sight, with larger inclinations corresponding to harder spectra. Remarkably, such anisotropy could be responsible for properties of the X-ray spectra of Seyfert galaxies, which appear to be intrinsically harder in type 2 objects than in type 1, as reported recently.     

广西的玻璃陨石及其裂变径迹年龄

近年来，在广西靖西、百色、博白、贵港等地先后发现了玻璃陨石，使得该物体的陨落地点从海南和广东雷州半岛地区向北推至广西北回归线附近。经采用裂变径迹法对靖西玻璃陨石作年龄测定，它陨落至今的年龄为０．７３７Ｍａ。其年龄值与我国琼雷地区以及印支地区、菲律宾、澳大利亚等地的玻璃陨石大致相同，同属亚澳散布区撞击事件的产物。由于亚澳散布区的玻璃陨石被公认为第四纪中更新世初期的事件地层学标志物，可据此划分中更新统和下更新统的地层界线     

青藏高原地表位涡密度强迫对2008年1月中国南方降水过程的影响Ⅱ:数值模拟

青藏高原东坡近地表的辐合能够增加地表的位涡密度（PVD）。高耸的青藏高原与等熵面相切, 其东坡近地表增加的位涡密度成为等熵面边界上的位涡密度强迫源。利用IAP/LASG FAMIL全球大气环流模式探究青藏高原地表位涡密度增长对2008年初中国华南地区雨雪灾害天气形成的影响。首先与观测资料对比发现, 通过张弛逼近动力初始化, 在参照试验中, 模式能够比较合理地再现青藏高原东部的地表位涡密度增长和1月24-27日中国华南的大气环流场及降水场。而在高原的地表位涡密度增长减弱的敏感性试验中高原下游区域特别是华南沿海、广西到山东一带的降水明显减小甚至消失。对结果的分析表明:青藏高原区域的地表位涡密度增长在低空能够增强中国华南沿海地区的南风和水汽输送以及负的绝对涡度平流输送;在高空, 高原上产生的正的位涡密度沿西风环流向下游输送, 形成高层正的绝对涡度平流。从而在高原下游形成绝对涡度平流随高度增强的大尺度环流背景, 有利于上升运动发展。同时, 高原地表位涡密度增长在低空所激发的气旋式环流增加了华南的水汽输送, 最终激发了华南极端降水的产生。该个例模拟的结果证实了青藏高原东部的地表位涡密度强迫激发其下游极端天气发生的一种新机制。      

Mapping spatiotemporal patterns of events using social media: a case study of influenza trends

Tracking spatial and temporal trends of events (e.g. disease outbreaks and natural disasters) is important for situation awareness and timely response. Social media, with increasing popularity, provide an effective way to collect event-related data from massive populations and thus a significant opportunity to dynamically monitor events as they emerge and evolve. While existing research has demonstrated the value of social media as sensors in event detection, estimating potential time spans and influenced areas of an event from social media remains challenging. Challenges include the unstable volumes of available data, the spatial heterogeneity of event activities and social media data, and the data sparsity. This paper describes a systematic approach to detecting potential spatiotemporal patterns of events by resolving these challenges through several interrelated strategies: using kernel density estimation for smoothed social media intensity surfaces; utilizing event-unrelated social media posts to help map relative event prevalence; and normalizing event indicators based on historical fluctuation. This approach generates event indicator maps and significance maps explaining spatiotemporal variations of event prevalence to identify space-time regions with potentially abnormal event activities. The approach has been applied to detect influenza activity patterns in the conterminous US using Twitter data. A set of experiments demonstrated that our approach produces high-resolution influenza activity maps that could be explained by available ground truth data.