Consolidation of double‐layered ground with vertical drains

Vertical drains are usually installed in subsoil consisting of several layers. Due to the complex nature of the problem, over the past decades, the consolidation properties of multi‐layered ground with vertical drains have been analysed mainly by numerical methods. An analytical solution for consolidation of double‐layered ground with vertical drains under quasi‐equal strain condition is presented in this paper. The main steps for the computation procedure are listed. The convergence of the series solution is discussed. The comparisons between the results obtained by the present analytical method and the existing numerical solutions are described by figures. The orthogonal relation for the system of double‐layered ground with vertical drains is proven. Finally, some consolidation properties of double‐layered ground with vertical drains are analysed. Copyright © 2001 John Wiley & Sons, Ltd.     

渤黄东海混合层化演变规律的研究进展

较详细地综述了渤黄东海混合层化演变过程与规律的研究进展情况，主要包括：混合和层化过程的分布规律与季节变化特性，采用水温垂直剖面自相关函数的半经验预报模式，动力学和热力学的数值预报模式。     

闽中渔场的温、盐跃层分布与亚硝酸盐的层化现象

本文根据1982—1983年闽中渔场鱼类资源调查的资料,分析了本海区温、盐度跃层的强度及分布特征.结果表明:闽江口断面和平潭断面存在较强的跃层.温跃层一般出现在夏季.温跃层的强度可高达0.50℃/m,出现在牛山岛附近(水深10—20m).盐跃层一般出现在春季.盐跃层的强度可高达1.03/m,出现在闽江口白犬岛附近(水深0—10m).5月份处于丰水期,流量较大的闽江水排入海洋。由于其盐度低、比重小而浮于海水的上层,形成盐跃层现象.盐跃层最常出现的海区是在牛山岛附近.文中还探讨了闽中渔场的亚硝酸盐层化现象.3—8月,亚硝酸盐含量在水深0—20m层均较低,20m至底层含量则大幅度升高,亦出现明显的分层现象.     

Influence of stratification and irradiance regime on summer phytoplankton composition in coastal and shelf seas of the British Isles

The effect of interaction between stratification and irradiance regimes on phytoplankton community structure was investigated in three shelf/coastal regions of the British Isles, each of which displayed ranges of vertical stability and light attenuation. Relationships between vertical stability, light penetration and community structure were indicated by the ordination of dominance (assessed using cell volume) of the main phytoplankton phyletic groups—diatoms, dinoflagellates and microflagellates—on a surface defined by a bulk stratification index () and water column depth, scaled by transparency (λh). Diatom- and dinoflagellate-dominated communities occupied distinctly different domains on the - λh surface, diatoms being favoured in well-mixed water columns with high values for λh and dinoflagellates dominating where stratification was strong and λh was low. Microflagellates were not abundant in any of the study areas and showed no clear ordination on the - λh surface. The domain of co-dominance of diatom and dinoflagellates on the - λh surface was narrow with small changes in the irradiance or stratification regime resulting in a switch to diatom or dinoflagellate dominance. It is suggested that loss of non-motile diatom communities in strongly stratified water columns might be a strong selective force in favour of dinoflagel-lates. However, in water columns with intermediate stratification and optical properties, the outcome of competition may be decided by physiological attributes of the two groups with respect to growth in low and fluctuating irradiances.     

About the specification of erosion flux for soft stratified cohesive sediments

The present paper deals with the specification of bed erosion flux that accounts for the effects of sediment-induced stratification in the water column. Owing to difficulties in measuring the bed shear stress _b and the erosive shear strength _s, we suggest a series of methods that combine laboratory and numerical experiments. A simplified turbulent transport model that includes these effects helps to quantify _b and _s. Focusing on soft stratified beds, the present study considers erosion rate formulas of the form =_f exp {[T_b-T_s]} where is a model constant (=1 for Gularte's (1978) formula and =1/2 for Parchure's (1984) formula). First, the bed erosive strength profile _s(Z) is adjusted by forcing the turbulent transport model with measured erosion rates. Second, three procedures are suggested to determine the erosion rate formula coefficients _f and : a global procedure and two different layer-by-layer procedures. Each procedure is applied to an erosion experiment conducted in a rotating annular flume by Villaret and Paulic (1986). The use of the layer-by-layer procedure based on a least squares fitting technique provides a closer fit than the global procedure. The present study points out the complementarity of experimental and numerical approaches and also suggests possible improvements in laboratory test procedures.     

A multidisciplinary multi-scale framework for assessing vulnerabilities to global change

Terrestrial ecosystems provide a number of vital services for people and society, such as food, fibre, water resources, carbon sequestration, and recreation. The future capability of ecosystems to provide these services is determined by changes in socio-economic factors, land use, atmospheric composition, and climate. Most impact assessments do not quantify the vulnerability of ecosystems and ecosystem services under such environmental change. They cannot answer important policy-relevant questions such as 'Which are the main regions or sectors that are most vulnerable to global change?’ 'How do the vulnerabilities of two regions compare?’ 'Which scenario is the least harmful for a sector?’This paper describes a new approach to vulnerability assessment developed by the Advanced Terrestrial Ecosystem Analysis and Modelling (ATEAM) project. Different ecosystem models, covering biodiversity, agriculture, forestry, hydrology, and carbon sequestration are fed with the same Intergovernmental Panel on Climate Change (IPCC) scenarios based on the Special Report on Emissions Scenarios (SRES). Each model gives insights into specific ecosystems, as in traditional impact assessments. Moreover, by integrating the results in a vulnerability assessment, the policy-relevant questions listed above can also be addressed. A statistically derived European environmental stratification forms a key element in the vulnerability assessment. By linking it to other quantitative environmental stratifications, comparisons can be made using data from different assessments and spatial scales.     

Calculation Of The Height Of The Stable Boundary Layer In Practical Applications

Currently used and newly proposed calculation techniques for the heightof the stable boundary layer (SBL), including the bulk-Richardson-numbermethod, diagnostic equations for the equilibrium SBL height, and a relaxation-typeprognostic equation, are discussed from the point of view of their physical basis andrelevance to experimental data. Among diagnostic equations, the best fit to data exhibits an advanced Ekman-layer height model derived recently with due regard to the role of the free-flow stability. Its extension to non-steady regimes provides a prognostic equation recommended for use in practical applications.     

雷州半岛雾的气候特征及生消机理

利用分别位于雷州半岛北部、中部和南部的湛江站59a、雷州站46a和徐闻站42a的气象资料,分析了雷州半岛雾发生的规律及生消机理。结果表明：三站年雾日数变化趋势基本一致,呈＂W＂状,局部峰值明显升高。三站的年平均雾日数分别为24.7d、30.4d和21.0d。雷州半岛雾日主要出现在每年的1—4月及12月,3月雾日数最多,7月雾日数最少。近10a湛江站夜间雾发生频率为90%;短雾多,持续时间在4h以内的占75%。雾形成的天气形势可分为高压入海型、低压前型、冷锋前型、静止锋前型、鞍形场或均压场型5类,主要是平流雾、锋面雾和辐射雾。3种雾消散的天气形势是新冷空气补充南下、雾滴出现碰并沉降形成小雨或日出后雾滴蒸发。统计雷州半岛三站2000—2009年雾次频数得出,成雾概率最大的气象条件是气温为15～25℃、T-Td≤1.0℃、Δp3在-3.5～-2hPa和1.5～2.5hPa之间、风向为NNE-ESE及风速小于5m/s。L波段雷达探空大雾个例分析表明：雾顶高度在1.5km左右,雾中温度随高度增加而减小;雾中相对湿度大于92%,1.5km之上急剧减小,3km以上保持不变;T-Td为1.2～6.4℃;近地面风速为2～6m/s,风向随高度顺时针旋转,雾中有暖平流。     

2008年1月南方一次冰冻天气中冻雨区的层结和云物理特征

2008年1月中下旬, 我国南方经历了四次历史罕见的冰冻雨雪天气。本文针对2008年1月25~29日的一次典型冻雨天气过程, 在实测资料、NCEP再分析资料综合分析的基础上, 利用中国气象科学研究院 (CAMS) 中尺度云分辨模式对1月28日~29日的冻雨天气过程进行了数值模拟, 研究了冰冻天气形成的大气层结及云系冻雨区云的宏微观结构特征, 初步分析了冻雨形成的云微物理过程及云物理成因。结果表明, 深厚而稳定的逆温层和低空冷层的存在是大范围冻雨出现的直接原因。此次南方冰冻过程中, 湖南和贵州两地冻雨形成的云物理机理不同, 不同冻雨区上空为两种不同类型的云, 对应两种不同的云微物理结构和大气层结结构。湖南冻雨区云层较厚, 云顶温度较低, 属于混合相云, 云中高层存在丰富的冰相粒子 (雪的比含水量最大)。湖南冻雨在 "冷—暖—冷" 层结下, 通过 "冰相融化过程" 形成, 即在锋面之上的对流层中层水汽辐合中心内形成的雪, 从高空落入暖层, 雪融化形成雨, 再下落到冷层后, 形成过冷雨滴, 最后接触到温度低于 0℃的物体或降落到地面上, 迅速冻结形成冻雨。而贵州冻雨区云层较薄, 云顶温度较高, 属于暖云, 中高层基本无冰相粒子, 低层为云水和雨水 (云水的比含水量最大)。贵州冻雨是在 "暖—冷" 层结下通过 "过冷暖雨过程" 形成的。即水汽沿锋面抬升, 在对流层中低层的水汽辐合中心内, 经过冷却凝结成云滴, 通过碰并云滴增长的雨滴下落到低空冷层, 形成的过冷却雨滴直接冻结形成冻雨。