宁夏鸳鸯湖电厂空冷气象条件分析

通过在宁夏鸳鸯湖电厂建立气温、风向、风速60 m梯度及地面观测站,与邻近的灵武市气象站展开为期一年的同步观测,获得实地观测资料。利用两地同步气象观测资料进行对比分析,揭示出电厂所在地气候特点。同时结合灵武市气象站1971~2000年观测资料,采用相关性分析方法,订正得到电厂地面历年气象要素特征值。结果表明,电厂风向和风速特征明显有别于邻近的灵武市气象站。分析结果主要用于该地火电厂空冷系统的安装与安全运行。     

主动变刚度阻尼多振型半主动控制研究

探讨了开关型半主动控制算法的研究现状,基于单步状态预测控制律,提出了针对高层建筑多自由度结构体系AVS/D(主动变刚度阻尼)多振型开关控制律。通过算例仿真分析与其它开关控制律作了比较,结果表明这种开关控制律是可行的、有效的。特别是在多自由度结构体系振动过程中有多个振型同时在受控结构的反应中起主要作用时,本文提出的开关控制律比其它振型开关控制律有更好的控制效果。     

"琼北火山探查及喷发危险性研究"项目成果介绍

本文详细介绍了"火山灾害预警研究"项目的立项背景、目标、所开展的主要工作、取得的成果、研究成果的社会效益和对该领域研究未来工作的展望。     

郑州市区环境空气污染趋势分析

以2003年郑州市环境空气污染的主要监测指标为依据,分析了郑州市空气污染现状,并根据1994~2003年10年来的监测数据,对空气污染特征和污染趋势进行了分析,结论是:郑州市空气污染在近10年呈下降趋势。     

气象因子对金花梨生长发育的影响

通过试验研究,探讨主要气象因子在唐河县的变化规律和对金花梨生长发育的影响,研究金花梨在遭受灾害性天气影响时,采取相应的技术措施,确保金花梨的高产、稳产。     

“05．6”广西持续性大暴雨成因分析

利用常规资料、T213初始场及6h预报场、卫星云图等资料，用中尺度分析方法，并配合诊断分析，对广西“05.6”持续性大暴雨成因进行了初步探讨。结果表明：这次过程是在稳定的大尺度环流形势和有利的物理量场条件下发生，是大、中尺度天气系统相互作用的结果，具有典型的中尺度性质，表现出强降雨的不均匀性、突发性和局地性，是中尺度天气系统活动的结果。     

鞍山某基坑支护工程事故分析

论述了鞍山某基坑支护工程设计参数的选取与加固措施,分析了出现事故及险情的原因,总结了鞍山地区基坑支护设计与施工的经验和教训。     

大雾天气对城市环境中空气质量的影响及危害

商丘市的大雾多形成在大陆高压型、冷锋前暖区型、均压场型、(低压)倒槽型天气形势中。空气中的污染物不仅增加了水汽凝结核,那些可溶性气溶胶还降低了饱和水汽压,使空气中的水汽更容易饱和,因此被污染的空气更容易形成雾。而大雾天气抑制了近地面层污染物的垂直扩散,加剧了城市污染。     

试论如何依法管理地震科技档案

对地震科技档案目前在收集、接收等常规管理中存在的问题和如何解决这些问题进行了详细论述。认为,只有实现了档案材料形成积累和收集整理过程的一体化,才可保障档案材料的齐全完整,实现依法管理。     

Turbidite bed thickness distributions: methods and pitfalls of analysis and modelling

Turbidite bed thickness distributions are often interpreted in terms of power laws, even when there are significant departures from a single straight line on a log–log exceedence probability plot. Alternatively, these distributions have been described by a lognormal mixture model. Statistical methods used to analyse and distinguish the two models (power law and lognormal mixture) are presented here. In addition, the shortcomings of some frequently applied techniques are discussed, using a new data set from the Tarcău Sandstone of the East Carpathians, Romania, and published data from the Marnoso‐Arenacea Formation of Italy. Log–log exceedence plots and least squares fitting by themselves are inappropriate tools for the analysis of bed thickness distributions; they must be accompanied by the assessment of other types of diagrams (cumulative probability, histogram of log‐transformed values, q–q plots) and the use of a measure of goodness‐of‐fit other than R², such as the chi‐square or the Kolmogorov–Smirnov statistics. When interpreting data that do not follow a single straight line on a log–log exceedence plot, it is important to take into account that ‘segmented’ power laws are not simple mixtures of power law populations with arbitrary parameters. Although a simple model of flow confinement does result in segmented plots at the centre of a basin, the segmented shape of the exceedence curve breaks down as the sampling location moves away from the basin centre. The lognormal mixture model is a sedimentologically intuitive alternative to the power law distribution. The expectation–maximization algorithm can be used to estimate the parameters and thus to model lognormal bed thickness mixtures. Taking into account these observations, the bed thickness data from the Tarcău Sandstone are best described by a lognormal mixture model with two components. Compared with the Marnoso‐Arenacea Formation, in which bed thicknesses of thin beds have a larger variability than thicknesses of the thicker beds, the thinner‐bedded population of the Tarcău Sandstone has a lower variability than the thicker‐bedded population. Such differences might reflect contrasting depositional settings, such as the difference between channel levées and basin plains.