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。     

基于分布式水文模拟的三峡区间洪水预报(Ⅰ)——模型构建及验证

长江三峡区间因暴雨形成的洪水峰高量大,对三峡水库的防洪安全和运行调度的影响很大.本论文依据三峡地区的地形地貌特征,采用基于GIS的机理性分布式水文模型,来模拟三峡区间入库洪水,以尽量减少洪水预报中的不确定性.利用近期建成的78个自动雨量站网监测的小时降雨信息作为模型的输入,对模型参数进行了率定和验证,结果表明:大多数洪水过程的模拟精度较好,但也有的模拟结果较差,其中降雨信息缺失是洪水预报不确定性的主要来源.     

新疆叶尔羌河流域地下水同位素特征及其补给来源分析

笔者以新疆叶尔羌河流域为例,在研究区水文地质调查的基础上,根据不同区域、不同深度D、~(18)O和T值的变化分析地下水补给来源.解决了传统研究方法很难解决的问题.为干旱地区地下水起源及空间分布规律研究提供了新思路。研究结果表明:(1)研究区地下水不是来自大气降水的直接入渗,而是地表水渗漏补给。(2)流域分为两个独立的地下水循环系统,分别接受叶尔羌河与提孜那甫河河水补给。(3)潜水和承压水的起源相同,属统一的地下水系统。(4)地下水径流表现为倾斜平原区径流强烈,地下水以水平运动为主;细土平原区地下水径流迟缓,地下水以垂直蒸发运动为主.径流方向与地表水流向密切相关。     

长江三角洲北翼J9孔揭示地层和古地磁特征

长江三角洲北翼地区缺少较长尺度的第四纪海陆变迁及环境演变的深入探讨,深达423m的海安县基岩标J9孔为此提供了较好的研究对象。通过观察该孔松散层岩心,总结其沉积特征,认为岩心可明显地划分为6个特征岩性段。同时,地层古地磁测试结果显示:0～200m为布容正极性世,200～334m为松山负极性世,334m以下为高斯正极性世。综合分析岩心沉积特征并参考古地磁测试结果对地层进行了初步划分,认为:0～39m为全新世地层,39～153m为晚更新世地层,153～200m为中更新世地层,200-334m为早更新世地层,之下为新近纪地层。地层中存在晚更新世晚期特征的硬粘土标志层,指示本地不是冰后期古河谷的发育地。     

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.     

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。     

黄河口水下底坡微地貌及其成因探讨

高分辨率的回声测深、旁侧声纳及浅地层剖面记录首次直观地揭示了黄河口水下底坡上发育有大量形态不同的微地貌类型。据其形态特征和规模的差异,将它们划分为平滑海底、凹坑与洼地、冲沟、残留岗丘及扰动复合海底等五种类型。这些微地貌分布在不同水深条件下的不同水下三角洲单元上,并存在着相互联系和相互转化。黄河口海域特殊的沉积环境和复杂的动力条件是导致水下底坡微地貌形成发育的主要机制。     

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.     

山东小清河的原生动物

本文根据对山东小清河多年的污染生态调整研究，报导了淡水原生动物１４种。