Stochastic Response Analysis of Piled Offshore Platform Excited by Stationary Filtered White Noise

In this paper,the analysis method of stochastic response of piled offshore platform excited bystationary filtered white noise is presented.With this method,the strong ground motion is considered asthree direction stationary filtered white noise process,the theoretic solutions of three special integrationequations are derived with the residue theorem,and the expression of response nodal displacements andmember forces of offshore platform excited by the stationary filtered white noise is put forward.Thestochastic response of a piled offshore platform excited by the stationary filtered white noise,which is lo-cated 114.3m in water depth,is computed.The results are compared with those obtained with the re-sponse spectrum analysis method and the stationary white noise model analysis method,and the corre-sponding conclusion is drawn.     

南亚高压与华南汛期天气

本文分析了南亚高压的气候特征及南亚高压月际间振荡与华南汛期天气的关系,结果表明,初夏振荡中心偏北同时偏东,不利华南雨季多雨水;盛夏振荡中心偏北同时偏东,有利华南沿海多台风,并建立了相应的预报判据。     

黄海测区空气微生物含量估计

本文对黄海测区空气微生物作了一次测定 ,结果表明空气中海洋性细菌、真菌的检出率分别为 52 .4 %和 4 7.6 %。陆源性细菌、真菌的检出率分别为80 .0 %和 6 0 .0 %。陆源性微生物出现机率大于海洋性的。空气微生物以细菌为主。测区平均的海洋性空气细菌、真菌、总菌量及真菌 /总菌 %分别为 592 .6 ,32 9.1 ,92 1 .7CFU·m-3 及 35.4。平均的陆源性空气细菌、真菌、总菌量及真菌 /总菌 %分别为 6 89.1、377.9、1 0 6 7.0CFU·m-3 及 35.7。文章分析了空气微生物的时空分布状态。指出测区空气微生物状态反映了海 -气、海 -陆、人和自然的相互作用。     

川西盆地雾和能见度的气候特征及其对飞行的影响

利用川西盆地广汉机场气象台1986年1月~1995年12月共10 a地面观测资料,对广汉机场低能见度的生消时间、持续时间和能见度的年季节变化及其日变化做了统计分析,研究广汉机场全年能见度的飞行气候特征,特别是低能见度气候特征对飞行的影响。结果表明,能见度日变化特征表现为:白天早、晚时段能见度较低,午后能见度达到最高。能见度的季节变化特征表现为:冬(12,1,2月)、春季(3,4,5月)能见度较低,而夏(6,7,8月)、秋季(9,10,11月)能见度较高。冬季能见度的变化主要受辐射雾影响,夏季能见度的变化主要受降水的影响,随着降水强度的变化而变化,低能见度时间短暂。各标准低能见度逐时频率的日变化特征在各季基本相似,低能见度高频率区均出现在早晨到上午,低频率区均出现在下午。     

基于非等间距模型的建筑物沉降预测方法研究

该文基于实测资料进行建筑物沉降预测。在灰色模型和泊松曲线模型理论的基础上,引入对非等间距数列进行变换处理的方法,从而建立了非等间距预测模型。结合建筑物沉降监测资料进行分析比较,结果表明,两种预测方法均能较好地反映建筑物的沉降趋势。     

变形监测信息管理系统的设计与实现

介绍了GIS数据管理与图形显示的优势、组件技术,设计了变形监测数据管理系统平台,实现了变形监测数据的智能化管理、分析与预测.     

随机Dirichlet问题解的调和展开

针对重力学随机Dirichlet问题,通过适当地对边界检验函数的分解,并在随机边界样本空间中提取确定性部分的对偶基,本文将随机Dirichlet问题的一般解展开为一随机系数的调和级数形式。     

天山公路地质灾害决策支持地理信息系统的设计研究

天山公路由于其特殊复杂地形、地质条件及受降雨、地下水等因素,严重影响其正常通行,同时天山公路还经常受到泥石流、滑坡、崩塌、溜砂坡等地质灾害的危害,这对该公路稳定性和沿线居民的安全性都具有一定的威胁。因此,运用先进的技术手段,建立一套适应于天山公路的地质灾害决策支持信息系统就显得尤其重要。该系统的建立,对天山公路的建设改造和管理提供了强有力的支持。天山公路地质灾害决策支持地理信息系统利用强大的ArcEngine开发组件,针对新疆天山公路实际,引入RS、GIS的相关理论、方法和技术分析手段,采用相应的数学分析评价模型,对提高天山公路地质灾害防治管理水平和地质灾害的有效防治,以及评价决策等方面,都具有重要的意义。     

Modelling Positional Uncertainty of Line Features by Accounting for Stochastic Deviations from Straight Line Segments

The assessment of positional uncertainty in line and area features is often based on uncertainty in the coordinates of their elementary vertices which are assumed to be connected by straight lines. Such an approach disregards uncertainty caused by sampling and approximation of a curvilinear feature by a sequence of straight line segments. In this article, a method is proposed that also allows for the latter type of uncertainty by modelling random rectangular deviations from the conventional straight line segments. Using the model on a dense network of sub‐vertices, the contribution of uncertainty due to approximation is emphasised; the sampling effect can be assessed by applying it on a small set of randomly inserted sub‐vertices. A case study demonstrates a feasible way of parameterisation based on assumptions of joint normal distributions for positional errors of the vertices and the rectangular deviations and a uniform distribution of missed sub‐vertices along line segments. Depending on the magnitudes of the different sources of uncertainty, not accounting for potential deviations from straight line segments may drastically underestimate the positional uncertainty of line features.     

Issues concerning global warming today

The global weather of today is growing significantly warmer; this is an indisputable fact. However, the scientific community has not yet reached consensus on the causes of global warming and its possible consequences. This paper introduces the causes of global warming and summarizes its results, which both involve a series of huge and complex system issues. Our top priority is to pinpoint the main reason and the interrelated links between causative factors by adopting a macro-approach, or comprehensive comparison analysis. Its physical mechanism was then determined and its digital model established after quantitative study. __________ Translated from Green Leaf, 2007, (8): 34–35 [译自: 绿叶]