基于泡沫钻进中消泡装置的试验研究

泡沫钻进过程中,会产生很多泡沫,如不及时清除,会造成施工现场泡沫的大量堆积,影响正常的生产。因此,选择合适的消泡方法在泡沫钻进过程中是非常重要的环节。选用机械消泡法中的缝隙式消泡器,建立消泡装置室内试验台进行试验,取得了良好的效果,消泡率可达86%。     

陕西白河县月儿潭绿松石与次生磷钙铝矾研究

对陕西省白河县月儿潭风化严重的绿松石样品进行了岩石薄片观察、化学成分测试、X射线粉晶衍射和红外吸收光谱分析等研究.结果表明,绿松石风化分解由天蓝色退色成黄绿色,最后变成白色,结构也由致密细腻变得松散多孔,主要原因是发生了硫酸根对磷酸根的交代作用,最终的交代产物主要是磷钙铝矾.     

Re-Os同位素对峨眉山大火成岩省成因制约的探讨

峨眉山大火成岩省（ELIP）主要由玄武岩、玄武质火山碎屑岩及少量的苦橄岩（包括越南的科马提岩）、长英质岩石以及层状岩体和岩墙组成,其物质来源直接关系到其成因是否与地幔柱活动有关。Re-Os同位素体系是地核、地幔和地壳物质的最佳示踪剂。前人对ELIP内的Re-Os同位素研究表明,低Ti玄武岩的Os含量为0．006×10^-9-0．40010^-9,^187Os／^188Os初始值为0．1371～1．403,并提出其与地幔柱活动有关;而高Ti玄武岩的Os含量为0．00410^-9～0．56010^-9,^187Os／^188Os初始值为0．1271～5．19,认为起源于大陆岩石圈地幔或地幔柱上升过程中受到大量岩石圈地幔“混染”（xu JF et al．,2007）;科马提岩的0s含量为1．2410^-9～7．0010^-9,^187Os／^188Os初始值为0．1251～0．1261,苦橄岩的Os含量为0．3210^-9～2．32910^-9,^187Os／^188Os初始值为0．1233～0．1266,指示苦橄岩和科马提岩均来自亏损地幔源区（Hanski et al．,2004;陈雷等,2007）。本文利用Os含量最低、^187Os／^188Os最高的高Ti玄武岩作为地壳端员,用铁质陨石、原始上地幔（PUM）和亏损地幔（DMM）作为地核和各种地幔端员,分别做二元混合计算,结果显示绝大多数玄武岩和所有苦橄岩及科马提岩均落在地壳和DMM混合曲线附近,并且邻区特提斯洋地幔岩与DMM具有相近的Os含量和^187Os／^188Os组成,据此推测峨眉山火成岩的形成与特提斯洋的活动有关,主要受控于地壳和亏损地幔的相互作用。     

基于Web＆GIS的洪水预报技术概述

洪水预报技术涉及专业技术和实现技术两个方面,洪水预报实现技术的发展制约着洪水预报的整体水平.基于GIS及Web的洪水预报应用技术,代表了洪水预报技术发展的一个新的方向,主要体现在三个方面:构件化应用开发的洪水预报系统;建立分布式洪水预报模型;交互式洪水预报调度决策应用模式.技术关键在于洪水预报中间件和相应应用中间件标准,其次是规范构件化应用;三是推进应用级服务体系,支持行业应用的构件化软件开发.     

Reduction of hydroelastic responses of a very-long floating structure by a floating oscillating-water-column breakwater system

The hydroelastic responses of a very-long floating structure (VLFS) placed behind a reverse T-shape freely floating breakwater with a built-in oscillating water column (OWC) chamber are analyzed in two dimensions. The Bernoulli–Euler beam equation is coupled with the equations of rigid and elastic motions of the breakwater and the VLFS. The interaction of waves between the floating rigid breakwater and the elastic VLFS is formulated in a consistent manner. It has been shown numerically that the structural deflections of the VLFS can be reduced significantly by a suitably designed reverse T-shape floating breakwater.     

UV-B辐射对海洋微藻抗氧化系统的影响

研究了UV－B辐射对两种海洋微藻－小新月菱形藻（Ntzschia closterlum)和亚心形扁藻（Platymonas subcordiforming)的抗氧化系统的影响。结果表明：在本实验的辐射剂量范围内，随着UV－B辐射剂量的增强，两种藻的抗氧化防御系统的非酶性组分还原型谷胱甘肽（GSH）和类胡萝卜素（CAR）的含量随之下降；抗氧化防御系统的酶性组分超氧化歧化酶（SOD）和过氧化氢酶（CAT）的活性逐渐降低。加入外源性抗氧化剂GSH可减轻UV－B辐射对藻的伤害。分析表明海洋微藻的UV－B伤害是由于抗氧化防御系统遭到破坏而导致活性氧积累的结果。     

基于Windows CE水准测量应用软件的设计与实现

根据水准测量实际问题，抽象出水准测量应用软件的需求与功能，在此基础上，利用基于Windows CE应用软件开发工具——eMbedded Visual Basic，设计和开发了水准测量应用软件。该系统利用EVB提供的强大的可视化功能，为用户创建窗体式程序界面，使用中通过窗体的相互调用，完成用户对水准测量外业记簿、检核和平差计算的基本需求。     

Numerical study of the motions and drift force of a floating OWC device

The motion and the drift force of a floating OWC (oscillating water column) wave energy device in regular waves are studied taking account of the oscillating surface-pressure due to the pressure drop across the duct of the air chamber. The potential problem inside the chamber is formulated by making use of the Green integral equation associated with the Rankine-type Green function while the outer problem with the Kelvin-type Green function. The added mass, wave damping and excitation coefficients as well as the motion and drift force of the OWC device are calculated for various values of parameter related to the pressure drop.     

165°E赤道太平洋溶解氧垂直分布异常分析

根据1986—1990中美热带西太平洋海气相互作用8个航次合作综合调查资料，分析了1987年10月赤道中西太平洋165°E（10°N－6°S）次表层水形成溶解氧最大值的原因。1986－1987年E1Nino衰退时期，该海域赤道附近在E1Nino强盛时期下沉的次表层水开始回升，短时期内形成了类似于中、高纬度海域的理化环境，使浮游生物在混合层内聚集生长，最终导致溶解氧含量在次表层出现最大值和过饱和含量。     

Prediction of local scour around circular piles under waves using a novel artificial intelligence approach

Abstract

The scour phenomena around vertical piles in oceans and under waves may influence the structure stability. Therefore, accurately predicting the scour depth is an important task in the design of piles. Empirical approaches often do not provide the required accuracy compared with data mining methods for modeling such complex processes. The main objective of this study is to develop three data-driven methods, locally weighted linear regression (LWLR), support vector machine (SVR), and multivariate linear regression (MLR) to predict the scour depth around vertical piles due to waves in a sand bed. It is the first effort to develop the LWLR to predict scour depth around vertical piles. The models simulate the scour depth mainly based on Shields parameter, pile Reynolds number, grain Reynolds number, Keulegan–Carpenter number, and sediment number. 111 laboratory datasets, derived from several experimental studies, were used for the modeling. The results indicated that the LWLR provided highly accurate predictions of the scour depths around piles (R?=?0.939 and RMSE = 0.075). Overall, this study demonstrated that the LWLR can be used as a valuable tool to predict the wave-induced scour around piles.