国内外气溶胶观测网络发展进展及相关科学计划

气溶胶是气候变化研究中的一个极大的不确定性因素,国内外在此方面开展了大量的观测和科学研究。本文首先对当前全球两大气溶胶观测网络,世界气象组织(WMO)的全球大气观测计划(GAW)和气溶胶自动观测网(AERONET)的组织、规模、设备、数据和气溶胶网络的规范作了介绍,并对近年来国际上的重大气溶胶科学计划的目标、实验方法、步骤作了介绍,说明观测网络的重要性。在此基础上对中国气溶胶观测网络的地位做了分析,并指出其在正在开展的中国气溶胶科学研究中的重要性。     

The 1978 outburst of the recurrent nova WZ Sagittae

We give the results of photographic observations of the recurrent nova WZ Sge during its 1978 outburst, between December 5 and 25, using the double astrograph of Beijing Observatory. We discuss the observed properties and calculate the total energy released during the outburst to be about 1.07 (+40) erg. We estimate that the next outburst will occur around the year 2011.     

神经网络油气检测技术

多参数神经网络油气检测技术首先提取四大类２６ 个地震波特征参数,并定量描述这些参数,然后用神经网络技术对这些参数进行分析,预测油气分布,使油气识别工作定量化、计算机化。本次研究开发了一套神经网络油气识别软件,并利用其对东濮凹陷胡１９ 块进行油藏精细描述,预测沙三下砂组含油面积０－７ ｋｍ２ ,石油地质储量７０ ×１０４ 吨。     

基于JXTA的协同学习系统研究

随着计算机网络技术的迅速发展和计算机协同工作CSCW理论和技术研究的深入,计算机协同学习(Computer Supported Collaborative Learning)的思想逐渐被引入计算机网络教育的应用中.目前大多数的协同学习系统采用了C/S结构.提出的基于JXTA的协同学习系统采用了P2P(Peer-to-Peer)结构,满足了协同学习的一般需求,具有安全性、可伸缩性和可扩展性.     

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地下爆炸各向同性源和补偿线性矢量偶极源共同作用对Rg波低谷点的影响

本文利用地震面波激发理论计算了两种震源不同相对强度、相对埋深及源时间函数情况下的Rg波频谱,研究地下爆炸中各向同性(ISO)源和补偿线性矢量偶极(CLVD)源共同激发的Rg波信号低谷点特性.结果表明,由于两种震源相对强度、相对埋深及源频谱的影响,混合信号低谷点频率与单一CLVD源激发的信号有很大差异,因此实际地下爆炸中...     

CORS系统在航空重力测量地面GNSS基站解算中的应用

航空重力测量是以飞机为载体,快速、高效获取大面积中、高频地球重力场信息的航空物探测量方法。航空重力测量技术的商业化运行归功于动态差分GNSS定位技术的成熟,使得载体的动态定位、动态测速和加速度解算精度大大提高,而差分GNSS技术解算载体动态定位的精度又依赖于地面基准站坐标精度。在实际作业中,通过组建控制网并设立地面GNSS基站,联测国家GNSS控制点,不仅需要花费较多的经济成本和时间成本,而且在人迹罕至的沼泽、高原、荒漠无人区以及远离大陆的海岛礁地区,这种方法都面临很大的困难。随着我国CORS站建设的不断深入,CORS系统精度和网度不断提高,利用CORS站数据,通过GAMIT等软件进行地面GNSS基站解算来确定其准确坐标位置的方法成为一种新趋势。本文以某测区实际数据为例,对比分析了两种方法得到的基站坐标精度及对重力测量结果的影响,介绍了CORS系统在航空重力测量地面GNSS基站解算中的应用效果,说明利用CORS系统解算不仅满足航空重力测量精度要求,而且能够提高工作效率。     

热处理砂岩微观结构及力学性质试验研究

采用核磁共振、电镜扫描、X射线衍射、单轴压缩等试验手段对某砂岩试样不同温度下(25～900℃)微观结构及力学性质的变化情况进行研究。研究表明:温度对砂岩试样微观结构具有重要影响,试样总孔隙率随温度的升高而升高,在150℃以下,由于中、大孔隙的减少,试样渗透性反而降低;当温度超过600℃时,中、大孔隙快速增加,试样渗透性能大幅增加;温度升高导致砂岩试样弹性模量减小、峰值应变增大以及孔隙压密阶段变长,宏观表现为脆性降低、塑性明显增强;热处理条件下,除微观结构的变化会导致砂岩试样力学强度改变外,试样矿物成分对其力学强度也具有十分重要的影响;450℃以下,由于矿物成分变化较小,试样力学强度主要受到孔隙度增加的影响,表现为强度随温度升高而降低;450～600℃,虽然孔隙率继续增长,但由于主要矿物高岭石发生脱水以及与其他离子形成新相矿物,进而导致试样强度没有随着孔隙增加而降低,反而出现一定的增长;超过600℃后,孔隙尤其是大孔隙的急剧增加,导致强度重新开始降低。     

Three dimensional numerical simulation of residential building on shrink–swell soils in response to climatic conditions

Shrink–swell soils can cause distresses in buildings, and every year, the economic loss associated with this problem is huge. This paper presents a comprehensive system for simulating the soil–foundation–building system and its response to daily weather conditions. Weather data include rainfall, solar radiation, air temperature, relative humidity, and wind speed, all of which are readily available from a local weather station or the Internet. These data are used to determine simulation flux boundary conditions. Different methods are proposed to simulate different boundary conditions: bare soil, trees, and vegetation. A coupled hydro‐mechanical stress analysis is used to simulate the volume change of shrink–swell soils due to both mechanical stress and water content variations. Coupled hydro‐mechanical stress‐jointed elements are used to simulate the interaction between the soil and the slab, and general shell elements are used to simulate structural behavior. All the models are combined into one finite element program to predict the entire system's behavior. This paper first described the theory for the simulations. A site in Arlington, Texas, is then selected to demonstrate the application of the proposed system. Simulation results are shown, and a comparison between measured and predicted movements for four footings in Arlington, Texas, over a 2‐year period is presented. Finally, a three‐dimensional simulation is made for a virtual residential building on shrink–swell soils to identify the influence of various factors. Copyright © 2015 John Wiley & Sons, Ltd.     

A nonstationary extreme value distribution for analysing the cessation of karst spring discharge

The effects of climate change and population growth in recent decades are leading us to consider their combined and potentially extreme consequences, particularly regarding hydrological processes, which can be modeled using a generalized extreme value (GEV) distribution. Most of the GEV models were based on a stationary assumption for hydrological processes, in contrast to the nonstationary reality due to climate change and human activities. In this paper, we present the nonstationary generalized extreme value (NSGEV) distribution and use it to investigate the risk of Niangziguan Springs discharge decreasing to zero. Rather than assuming the location, scale, and shape parameters to be constant as one might do for a stationary GEV distribution analysis, the NSGEV approach can reflect the dynamic processes by defining the GEV parameters as functions of time. Because most of the GEV model is designed to evaluate maxima (e.g. flooding, represented by positive numbers), and spring discharge cessation is a ?minima’, we deduced an NSGEV model for minima by applying opposite numbers, i.e. negative instead of positive numbers. The results of the model application to Niangziguan Springs showed that the probability of zero discharge at Niangziguan Springs will be 1/80 in 2025, and 1/10 in 2030. After 2025, the rate of decrease in spring discharge will accelerate, and the probability that Niangziguan Springs will cease flowing will dramatically increase. The NSGEV model is a robust method for analysing karst spring discharge. Copyright © 2013 John Wiley & Sons, Ltd.