区域大气环境质量灰关联评价方法探讨

针对区域中大气环境质量的特点，采用对数主成分分析方法获得各环境指标的权重及各监测点的横向排名，再用适宜的灰度关联方法进行了评价。整个过程在MATLAB6．5中实现，计算简便易行，与传统的综合指数法相比较，其评价结果更符合客观实际。     

2003年 8月 21-22日辐合气流暴雨天气过程总结

本文综合应用天气图、静止卫星云图、物理量诊断场,分析了 2003年 8月 21～ 22日黑龙江省大范围强降水过程.分析了乌拉尔山阻高、副热带高压和冷暖空气在暴雨天气过程中的作用.得出有预报指示意义的特征.并对日本传真图的降水预报能力进行了检验分析.在暴雨预报中也具有一定的预报意义.     

冷暖事件对大气能量循环和纬向平均环流影响的模拟研究

利用中国科学院大气物理研究所大气科学与地球流体力学数值模拟国家重点实验室新发展的GOALS 5全球海 陆 气耦合模式研究了暖事件 (ElNi no)和冷事件 (LaNina)对大气能量循环和纬向平均环流的影响 ,并用观测资料进行了对比分析。结果表明 :对于纬向平均资料来说 ,冷、暖事件在热带和副热带地区的大气环流相关量的反相变化特征非常清晰 ,中高纬度地区并不明显。此外 ,还发现 ,暖事件时定常涡动的经向热通量的变化是北半球对流层热带外地区温度异常的主要原因 ,而瞬变波的影响则起抵消作用。冷事件时定常波和瞬变波相互抵消的局地特征也依然存在 ,但瞬变波的影响有所增强。     

新疆冰雹天气过程的基本特征

通过对新疆39a冰雹天气资料的普查，得到76次系统性冰雹天气过程和1279次局地冰雹天气过程，局地冰雹天气的发生远远多于系统性雹天气。冰雹天气过程与地形密切相关，主要发生在山区，冰雹天气以1天为主，多发生于夏季，系统性冰雹天气均由中尺度高压造成。     

根据Dobson和TOMS资料分析北京和昆明大气臭氧总量变化特征

用约２０年 Ｄｏｂｓｏｎ和ＴＯＭＳ资料来分析北京（３９.９３°Ｎ，１１６.４０°Ｅ）和昆明 （２５.０２°Ｎ，１０２．６８°）两地大气臭氧总量的变化特征，结果表明：（１）在１９７９－２０００年间北京大气臭氧长期变化趋势是－０．６４２ ＤＵ／年，而昆明在１９８０－２０００年间的趋势是－０.００９ ＤＵ／年；（２）北京和昆明两地大气臭氧都有很强的季节内变化（尤其冬季更强），与季节性变化强度相当；（３）在北京和昆明，由记录较短的大气臭氧资料分析得到的长期变化趋势，与较长记录得到的结果有显著差异；（４）在北京（中纬度）和昆明（低纬度）大气臭氧都有显著的准两年振荡信号；（５）两个站点大气臭氧的年际变化主要由长期趋势项和准两年振荡信号组成；（６）Ｄｏｂｓｏｎ仪测量得到的臭氧总量与ＴＯＭＳ资料非常一致。     

多年冻土地区L型挡土墙土压力(冻胀力)的分析与试验

为适应多年冻土区土体冻胀过程所产生的较大变形的特性, 缩短施工进程, 减少扰动时间, 在青藏铁路格拉段选择了一个试验工点进行了L型悬臂挡墙的初步验证性试验研究. 通过对L型挡墙的受力模式分析, 确定了对粗颗粒填料不考虑冻胀力的土压力设计控制值. 通过与现场实测土压力分布规律的对比, 探讨了土压力与冻胀力的关系.     

H2O-CH4-H2-CO2-CO-O2在高温、高压和高密度条件下的状态方程

为了计算高温，高压和高密度流体的热力学性质，提出了一个具有19个参数的维里型状态方程，其中参数与温度间的函数关系采用由Sutherland位能函数导出的维里系数近似式。除临界点附近以外，在已报道的pVT数据所覆盖的大部分超临界区域内，该方程均可适用。用该方程对H2O，CH4，H2，CO2，CO和O2等流体pVT关系的计算结果令人满意，其中pVT上限分别为：91-610GPa,1.6-11.0cm^3/mol,4000-5000K。计算体积的平均偏 小于0．8％，最大偏差小于5．4％。     

高温高压下电解质溶液热力学性质的研究进展

高温高压下电解质溶液热力学性质的研究不仅对探讨地球内部流体的作用具有重要意义，而且在很多实际工业过程中也都有广泛应用。本综述了近10年来高温高压下电解质溶液热力学参数的实验测量和理论计算的进展，实验设备还有待进一步的改进和完善，以获得更高温度和压力下的数据，理论计算不仅有待于实验的发展，也与溶液的结构理论密切相关。     

Evaluation of the Reduction in Uncertainty Obtained by Conditioning a 3D Stochastic Channel to Multiwell Pressure Data

A stochastic channel embedded in a background facies is conditioned to data observed at wells. The background facies is a fixed rectangular box. The model parameters consist of geometric parameters that describe the shape, size, and location of the channel, and permeability and porosity in the channel and nonchannel facies. We extend methodology previously developed to condition a stochastic channel to well-test pressure data, and well observations of the channel thickness and the depth of the top of the channel. The main objective of this work is to characterize the reduction in uncertainty in channel model parameters and predicted reservoir performance that can be achieved by conditioning to well-test pressure data at one or more wells. Multiple conditional realizations of the geometric parameters and rock properties are generated to evaluate the uncertainty in model parameters. The ensemble of predictions of reservoir performance generated from the suite of realizations provides a Monte Carlo estimate of the uncertainty in future performance predictions. In addition, we provide some insight on how prior variances, data measurement errors, and sensitivity coefficients interact to determine the reduction in model parameters obtained by conditioning to pressure data and examine the value of active and observation well data in resolving model parameters.     

Spectroscopic evidence for pressure-induced phase transitions in diopside

 Raman spectra of diopside were collected from atmospheric pressure to 71 GPa. The pressure dependences of 22 modes were determined. Changes occurred in the spectra at three different pressures. First, at approximately 10 GPa, the two Raman modes at 356 and 875 cm⁻¹ disappeared, while the mode at 324 cm⁻¹ split into two modes, diverging at this pressure with significantly different pressure shifts; second, at approximately 15 GPa, a small (1 to 2 cm⁻¹) drop in several of the frequencies was observed accompanied by changes in the pressure dependency of some of the modes; and third, above 55 GPa, the modes characteristic of chains of tetrahedrally coordinated silicon disappeared, while those for octahedrally coordinated silicon appeared. The first change at 10 GPa appears to be a C2/c to C2/c transition involving a change in the Ca coordination. The third change above 55 GPa appears to be a change in the silicon coordination. At 15 GPa, it is suggested that a change in compressional mechanism takes place. Received: 14 November 2000 / Accepted: 9 January 2002