水下运动物体间相互作用力的计算探讨

本文首先用体内奇点分布法建立了水下多个运动回转体的数学模型,基此提出了一种新的计算多物体相互作用力的方法──等价拓展体法,达到考虑粘性、简化边界层计算的目的。以上方法都以两个运动回转体为例作了数值计算与比较。     

Genetic type,distribution patterns and controlling factors of beach and bars in the second member of the Shahejie formation in the Dawangbei Sag,Bohai Bay,China

As an important reservoir type in the Bohai Bay Basin, China, lacustrine beach and bar sands which refer to the shallow water complex deposited mainly by nearshore, delta‐rim and buried hill‐related beaches as well as longshore bars were developed in a particular stage in the evolution of those faulted Cenozoic continental depressions. In the Chezhen Depression, for example, the Second Member of the Oligocene Shehejie Formation (abbr. as Es2 hereafter) formed during the rifting‐to‐thermal subsidence transitional stage. Although well developed in Es2, beach and bar sands are difficult to recognize owing to their relative thinness. The paper summarizes sedimentary characteristics of lacustrine beach and bar sands on cores and logs. Low‐angle cross‐stratification, swash stratification, as well as occasional small‐scale hummocky cross‐stratification resulted from storms can be observed in beach and bar sands. The paper distinguishes bars and beaches from each other in Es2 mainly based on the grain‐size, bed thickness, facies succession and log responses. In order to predict the distribution of beach and bars, a chrono‐stratigraphic correlation framework of Es2 in the study strata is established using a high‐resolution sequence stratigraphic approach. Es2 strata are sub‐divided into six medium‐scale cycles and the mapping of the high‐frequency cycles allows the geographic and stratigraphic distribution of both beach and bar sands to be predicted. The study shows that beach and bars are better developed in times of base‐level fall than in base‐level rise. Factors such as lake‐level fluctuation, sediment supply, palaeogeomorphology and palaeowind direction have exerted control on the formation and distribution of beach and bar sands. Finally, the genetic pattern of beach and bar sands in the Es2 unit has been constructed, which provides a foundation for the prediction of beach and bars reservoir in continental basins in general. Copyright © 2011 John Wiley & Sons, Ltd.     

Integrating Uncertainty Theories with GIS for Modeling Coastal Hazards of Climate Change

Prediction of coastal hazards due to climate change is fraught with uncertainty that stems from complexity of coastal systems, estimation of sea level rise, and limitation of available data. In-depth research on coastal modeling is hampered by lack of techniques for handling uncertainty, and the available commercial geographical information systems (GIS) packages have only limited capability of handling uncertain information. Therefore, integrating uncertainty theory with GIS is of practical and theoretical significance. This article presents a GIS-based model that integrates an existing predictive model using a differential approach, random simulation, and fuzzy set theory for predicting geomorphic hazards subject to uncertainty. Coastal hazard is modeled as the combined effects of sea-level induced recession and storm erosion, using grid modeling techniques. The method is described with a case study of Fingal Bay Beach, SE Australia, for which predicted responses to an IPCC standard sea-level rise of 0.86 m and superimposed storm erosion averaged 12 m and 90 m, respectively, with analysis of uncertainty yielding maximum of 52 m and 120 m, respectively. Paradoxically, output uncertainty reduces slightly with simulated increase in random error in the digital elevation model (DEM). This trend implies that the magnitude of modeled uncertainty is not necessarily increased with the uncertainties in the input parameters. Built as a generic tool, the model can be used not only to predict different scenarios of coastal hazard under uncertainties for coastal management, but is also applicable to other fields that involve predictive modeling under uncertainty.     

The Global Distribution of Diapycnal Mixing and Mixing Coefficient Tensor in the Upper 2000m Ocean from Argo Observations

Diapycnal Mixing (DM) within the upper 2000m of the global ocean is calculated by a fine-scale parameterization using the multiyear-mean density gridded product that created by employing all the Argo float observations to date through the recently published equation of seawater TEOS-10. The geographic distribution of Argo-derived DM derived in this study is spatial-dependent and varies with latitude and depth. The magnitude and pattern of DM is favorably validated by comparisons with previous studies. Furthermore, the mixing coefficient tensor K is calculated and analyzed. Components of the tensor fitting for the geopotential coordinate models are also presented. It is found that the tensor components in horizontal direction, K_xx and K_yy, have similar magnitude and distribution pattern. In the vertical, K_zz is enhanced over regions with rough topography and strong wind (e.g., Westerly region), suggesting agreement with previous estimates. This work presents a scheme to estimate the DM and mixing coefficient tensor using Argo observations, and offers a useful Argo-based mixing product for the purpose of promoting the study and modeling of ocean circulation and other processes.     

Analytical Theory for One-Dimensional Consolidation of Soil Induced by Time-Dependent Pumping and Loading

Analytical solutions are derived for one-dimensional consolidation induced by time-dependent pumping and loading, in which both the effects of different pumping types and loading conditions are considered, i.e., step pumping, cyclic pumping, constant loading, and step loading. Based on the solutions obtained, some diagrams are prepared and the relevant consolidation behavior of soil is discussed in detail. It has been shown that the consolidation behavior is greatly influenced by pumping velocity, loading pressure, pumping and loading type.     

南方红土磁性地层年代学研究进展

南方红土是中国分布最广的第四纪土状堆积,蕴含丰富的古气候、古地理以及古人类演化的信息。然而,南方红土地区长期高温多雨的气候造成许多定年材料的缺乏,导致其年代学研究进展比较缓慢。磁性地层学方法是一种适合于中、新生代海陆相沉积物定年的快捷、有效的方法,近年来南方红土的磁性地层年代学研究取得了很好的结果。文中比较系统地总结了近年来南方红土磁性地层年代学研究方面的进展。这些研究显示南方红土中的载磁矿物包括赤铁矿、磁赤铁矿、磁铁矿和针铁矿,其中磁铁矿和赤铁矿是特征剩磁的主要载体。磁性地层结果表明南方红土记录了Matuyama负极性时晚期至Brunhes正极性时早-中期的沉积,其沉积起始年龄不晚于Jaramillo正极性亚时,即早于11 Ma。这些磁性地层学结果为揭示南方红土记录的环境变化和中国南方亚热带地区早期人类演化提供了年代学基础。     

三峡库区作辑托背斜和巴东断裂与滑坡类型的关系

三峡库区作为地质灾害的多发地区,有关构造特征与滑坡之间的因果关系及相同局部构造上多个滑坡个体之间的因果关系研究很少。在应用断层相关褶皱理论方法的基础上,结合工程地质研究现状,以作辑托背斜和巴东断裂为研究重点,对局部构造与滑坡类型之间的关系进行了深入研究。结果表明：大型滑坡发生与局部构造类型及河流切割局部构造的部位相关,不仅体现于对单个滑坡的控制,更体现在对整体岸坡演化规律、个体滑坡演化因果关系的控制上。对研究区而言,滑坡的形成与作辑托背斜构造样式和巴东断裂的反转活动相关,也与长江切割局部构造位置相联系,使滑坡类型在局部地段发生根本性转变,表现出岸坡破坏发展空间演化过程有很强的方向性。     

浙江省东部土壤元素地球化学特征及意义

为了研究土壤和稻米元素地球化学分布特征及影响稻米中重金属质量分数的主要因素,对浙江省东部农田根系土-稻谷样品进行了采集和分析。结果表明：各研究区均有重金属元素质量分数高于区域地球化学背景值,尤其是温州南郊地区的Hg、台州泽国地区Cd、绍兴北郊地区的Hg,其质量分数分别是背景值的6倍、5倍及9倍;7个研究区中,只有嘉兴新胜地区的As质量分数超过背景值。其原因是这些地区工业化进程迅速,人为活动频繁,污染较严重。绍兴北郊、嘉兴新丰、嘉兴新胜和桐乡崇福地区稻米中As、Cd、Cr、Hg、Se和Pb质量分数均未超过标准限值。稻米对重金属元素的吸收富集主要受土壤有机质、pH、土壤阳离子交换量和黏粒组成等土壤理化性质的影响：土壤有机碳越丰富越有利于稻米对As、Cd、Cr和Ni的吸收;稻米对As、Cd、Mn和Ni的富集系数随着pH上升而下降;土壤阳离子交换量和黏粒组成与水稻As、Cu、Hg、Mn、Pb、Se和Zn的富集系数呈显著负相关。     

巴西坎波斯盆地和桑托斯盆地油气分布差异及主控因素

巴西坎波斯盆地和桑托斯盆地均为典型的被动陆缘盆地。随着勘探程度的增加和近年来在桑托斯盆地深水区盐下油气的重大发现,坎波斯盆地和桑托斯盆地之间的构造-沉积演化和油气地质特征的差异性越来越明显。通过对坎波斯盆地和桑托斯盆地区域地质特征和油气成藏条件差异性的比较,总结出两个盆地油气分布特征的截然不同。研究表明,盐窗比较发育的坎波斯盆地中已发现的油气主要富集于盐上浊积砂岩,而连续盐岩发育的桑托斯盆地已发现的油气则主要富集于盐下湖相碳酸盐岩。对于盐下层系,连续分布的盐岩和圣保罗高地的发育控制了盐下层系油气的分布;对于盐上层系,盐相关构造的发育则为油气垂向运移提供了有利通道,从而控制了盐上油气藏的形成与分布。     

延吉盆地多期不整合面的形成及其油气地质意义

延吉盆地是一个后期改造较为强烈的断陷盆地。应用地震、地质、测井资料识别出延吉盆地中存在6个较大的不整合面,它们以角度不整合和超覆不整合2种类型为主。分析认为,燕山Ⅰ、Ⅱ幕运动形成了盆地雏形,燕山Ⅳ幕运动则使盆地回返,此期出现大量高岭石（40%）,表明其与大气水淋滤等有关。短暂沉降后（龙井组）,燕山运动晚期（Ⅴ幕）发生的又一次大规模以南北挤压为主的构造运动,导致南北两翼抬起幅度巨大,剥蚀厚度超过700 m,盆地中部剥蚀厚度大约为300 m。不整合面是划分三大构造层（前断陷期、断陷期、坳陷期）的依据。其早白垩世铜佛寺组和大砬子组间的整合关系利于油气的生成。不整合面既可改善储集体的渗透性,又是形成油气二次运移的良好通道。初步预测与不整合有关的油气藏（侵蚀残丘、地层超覆不整合、断层坡折）可作为下一步勘探的目标。