深海锚泊浮标的二阶动力分析

计算了规则波上深海锚泊浮标的运动响应和锚泊线的动力响应。在对浮标的二阶漂移力计算时考虑了锚系的影响,并将浮标平均漂移的计算结果与不考虑锚系影响的结果进行了比较。本文计算所用浮标为单点系泊浮标,锚链由不同重量的分段组成。     

沪蓉国道主干线边坡稳定性研究

以沪-蓉国道主干线恩施高坪-吉心段付家坡滑坡地段典型断面为研究对象, 运用强度折减系数法,研究了在天然状态和饱水状态下滑坡体稳定安全系数。 指出了在这两种状态下边坡的不稳定性。并与其他几种方法进行了对比分析,结果表明有限元强度折减系数法应用到该断面是可行的,同时也显示该方法相对于其它方法的优越性。     

多边形有限单元形函数的几何构造方法

根据非均质材料的细观结构,划分多边形的计算网格。采用多边形单元进行有限元分析,实现了基于材料真实结构的数值模拟。给出了多边形有限单元形函数的几何构造方法,构造了一个辅助多边形,采用散度定理推导出多边形单元形函数的表达式。分析总结了多边形Wachspress插值、Laplace插值和平均值插值的构造方法和性质。     

风沙流中沙粒随机运动的数值模拟研究

通过对描述沙粒垂向运动速度脉动分量的随机微分方程的直接求解,获得了风沙流中沙粒运动的随机轨迹。结果表明,由于沙粒垂向脉动速度的影响,沙粒的轨迹与不考虑其垂向脉动速度的情形存在明显不同。在此基础上,通过对大量轨迹的统计计算,得到了沙粒浓度的分布规律。     

藏东南泥石流沟纵剖面演化的最小功模式

西藏东南地区的泥石流可分为雨水、冰雪融水和冰湖溃决等3种成因类型,其沟谷纵剖面演化均遵循最小功原理,即通过调整坡降使流速增大,表现为单位流体的全程流速平均值ū与纵剖面形态指数N正相关:ū∝f(N),对雨水型泥石流沟,流速函数f(N)={1/3-2/[(N+1)(N+2)(N+3)]}^1/2;对融水型泥石流沟,f(N)={2/3-2/[(N+1)(N+3)]}^1/2;对溃决型泥石流沟,f(N)=[NP(N+1)]^2/3。在泥石流沟谷演化进程中,与ū值由小变大相应,N值由小变大,沟谷纵剖面从上凸抛物线形变为下凹抛物线形,泥石流沟谷地貌演化阶段按泥石流孕育阶段、发展阶段、旺盛阶段、衰减阶段的顺序演替。以藏东南典型泥石流沟作为实例,检验了上述沟谷地貌演化的模式与规律。     

乌鲁木齐风廓线雷达的探测能力评估

利用2011年12月~2013年3月CFL－03型风廓线雷达在乌鲁木齐市的风探测数据与同期的常规探空数据开展了比对分析,从而对风廓线雷达探测数据的可靠性和探测能力给予了评估。结果表明,受乌鲁木齐四季不同的气候背景影响,CFL－03型风廓线雷达的数据获取率在夏季最高,在冬季最低,80%的数据获取率等值线夏季、冬季各自达到的高度分别为4500m和1980m;受低空地物回波、探测盲区等因素影响,240m以下风廓线雷达探测的风速误差较大,240m以上风廓线雷达四季探测的风速普遍小于实况,误差在-1~0m/s之间的出现频率最高,介于28.8%~31.8%,且在四季最大频率出现的高度有所差异,总体来看夏季风速误差相对较小;风向误差总体在-22.5°~0°之间的出现频率最高,且随着高度增加频率增加;风廓线雷达风速的探测能力优于风向,二者与实况的相关系数各自为0.9左右和0.6~0.8;通过长时间序列的风速、风向资料的比较,说明CFL－03型风廓线雷达能够较为准确地反映冬季天气过程的演变,且能够较为精细地刻画夏季短时强降水天气过程中高低空气流的变化特点。在综合考虑低空地物回波、探测盲区因素以及高空气球探空飘移等多种因素影响的情况下,可见CFL－03型风廓线雷达对乌鲁木齐大气环境和天气过程拥有较可靠的监测能力。     

数字ADCP波束偏转公式的解算

波束偏转是由基阵旋转引起的.将Janus结构数字ADCP基阵旋转进行横滚、纵倾、航偏分解考虑,进而推导了波束偏转公式.     

Comparisons of Two Ensemble Mean Methods in Measuring the Average Error Growth and the Predictability

In this paper,taking the Lorenz system as an example,we compare the influences of the arithmetic mean and the geometric mean on measuring the global and local average error growth.The results show that the geometric mean error (GME) has a smoother growth than the arithmetic mean error (AME) for the global average error growth,and the GME is directly related to the maximal Lyapunov exponent,but the AME is not,as already noted by Krishnamurthy in 1993.Besides these,the GME is shown to be more appropriate than the AME in measuring the mean error growth in terms of the probability distribution of errors.The physical meanings of the saturation levels of the AME and the GME are also shown to be different.However,there is no obvious difference between the local average error growth with the arithmetic mean and the geometric mean,indicating that the choices of the AME or the GME have no influence on the measure of local average predictability.     

Are spatial patterns of soil moisture at plot scales generalisable across catchments,climates, and other characteristics? A synthesis of synoptic soil moisture across the Mid-Atlantic

The spatial variation of soil moisture over very small areas (<100 m²) can have nonlinear impacts on cycling and flux rates resulting in bias if it is not considered, but measuring this variation is difficult over extensive temporal and spatial scales. Most studies examining spatial variation of soil moisture were conducted at hillslope (0.01 km²) to multi-catchment spatial scales (1000 km²). They found the greatest variation at mid wetness levels and the smallest variation at wet and dry wetness levels forming a concave down relationship. There is growing evidence that concave down relationships formed between spatial variation of soil moisture and average soil moisture are consistent across spatial scales spanning several orders of magnitude, but more research is needed at very small, plot scales (<100 m²). The goal of this study was to characterise spatial variation in shallow soil moisture at the plot scale by relating the mean of measurements collected in a plot to the standard deviation (SD). We combined data from a previous study with thousands of new soil moisture measurements from 212 plots in eight catchments distributed across the US Mid-Atlantic Region to (1) test for a generalisable mean–SD relationship at plot scales, (2) characterise how landcover, land use, season, and hillslope position contribute to differences in mean–SD relationships, and (3) use these generalised mean–SD relationships to quantify their impacts on catchment scale nitrification and denitrification potential. Our study found that 98% of all measurements formed a generalised mean–SD relationship like those observed at hillslope and catchment spatial scales. The remaining 2% of data comprised a mean–SD relationship with greater spatial variation that originated from two riparian plots reported in a previous study. Incorporating the generalised mean–SD relationship into estimates of nitrification and denitrification potential revealed strong bias that was even greater when incorporating mean–SD observations from the two riparian plots with significantly greater spatial variation.     

Stemflow on the woody parts of plants: dependence on rainfall intensity and event profile from laboratory simulations

This paper presents the first experimental study of how rainfall intensity and event profile affects stemflow behaviour on the rigid branches and stems of leafless, woody plants. Constant intensity rainfall simulation experiments showed that stemflow fraction rises with intensity. Varying intensity experiments showed that the stemflow fraction and stemflow flux vary with the rainfall event intensity profile and peak intensity. Stemflow fraction tends to be larger when intensity peaks occur early in the rainfall event, and variable intensity events exhibited peak stemflow fluxes >3 times those seen in constant intensity events. Moreover, experiments in which incident drop energy was reduced by a mesh screen suspended above the test plant commonly showed increases of >100% (and exceeding 300% under particular intensity profiles) in stemflow fraction, depth and peak stemflow flux. The results suggest that the development of trickle pathways along woody branches is facilitated by rain of moderate intensity and that splash dislodgement of attached water progressively reduces the adhesion of drops during intense rainfall. Thus, in plants with extensive woody branches, it is not merely rainfall intensity that determines stemflow fraction but the temporal variations in rainfall intensity. This offers a new explanation for increased stemflow production when trees are leafless, than when foliage is present, in terms of the reduced intensity peaks during rain in the dormant season. Copyright © 2013 John Wiley & Sons, Ltd.