Explorations into the formal structure of drainage basins

Every basin of higher than first order is drained by a channel network composed of two subnetworks. Their basins are separated by a drainage divide line, called the basin divider, which is the primary organizing feature of the main basin. Each basin of magnitude n contains n – 1 subnetworks of higher order, and is therefore organized by a set of n – 1 dividers. The dividers and the basin boundary are interconnected in a graph called the divider network of the basin; in graph-theoretic terms this network forms a tree and has the same magnitude and link numbers as the channel network draining the basin. While the subbasins and subnetworks of a drainage basin form a nesting hierarchy, the corresponding dividers do not; indeed, any two dividers share at most one node in common, and whether they do so is independent of whether the corresponding subbasins are nesting or disjoint. However, the dividers of nesting basins are linked by recursive relationships which permit the derivation of a set of algebraic equations; these equations relate the dividers of a basin to other basin components; for example, their combined length is equal to half the length of all first-order basin boundaries minus the length of the main basin boundary. The second part of the paper explores the dependence of the divider length on other basin parameters. The expected length, as predicted by the assumption of topological randomness, is clearly rejected by the data. An alternative approach (regression) is based on the observed magnitudes of the subbasins separated by each divider, and is reasonably successful in estimating divider length. The last section introduces the concept of the standardized basin defined by a boundary length of unity; the estimated lengths of the basin divider and the basin boundary permit an approximate reconstruction of the idealized basin shape and the location of the divider in it.     

开敞水域中航槽流场的数值模拟

建立了一个模拟开敞水域中航槽流场的平面二维数学模型.利用该模型计算得到的流速分布与袁美琦、李安中等人试验值相吻合,并计算了相当于天然情况下(各种水深、挖深比及航槽与水流的不同交角)的流场,得到了各种航槽与水流交角、不同挖深比的航槽流速折减系数变化规律图,及各种航槽与水流交角、不同挖深比的航槽中流向与航槽轴线交角的变化规律图,为开敞水域中航槽选线设计提供了依据.     

大尺度形势对中尺度对流风暴影响的研究

通过对多次强对流过程的分析,归纳出大尺度天气形势对中尺度对流风暴发生发展影响的4个方面,提出了天气形势分型的基本原则,并介绍了北京、华东和闽南地区不同天气形势下强对流活动的特点。     

船舶气象导航随船验证

通过横流太平洋往返两个航次随船调查，研究了采用气象导航对减少燃油消耗和保证船舶安全、班期等，不但有定的经济效益，而且是一种非常有效的航运管理方法。     

STUDY OF THE POSSIBILITIES OF USING AN AIR MASS TRANSFORMATION MODEL IN TAIYUAN

An AMT-model,consisting of a trajectory model and a one-dimensional boundary layer model,is tested fortrajectories arriving in Taiyuan to study the possibility of using it in Taiyuan.The sensitivity of the model tothe different processes was studied.Some parameters of the model were modified for the purpose of forecast-ing in specific mountainous terrain and dry climate conditions.Results of examples which we have workedout for Taiyuan circumstances for the periods of July(summer)1985 and January(winter)1986,show that the12h runs of the AMT-model are able to reproduce(on historical data)the sounding of Taiyuan.The AMT-modelcontributes fruitfully to short-range weather forecasts(12—36h ahead)during periods of severe air pollution andwhen cold waves occur.     

用10层准拉格朗日有限区域模式对高原东侧锋生过程的数值模拟

本文对一次引起夏季华北暴雨的锋生过程进行了研究。在诊断分析的基础上,我们采用十层准拉格朗日有限区域模式对此个例进行了48小时的模拟,并对模拟输出结果进行解释与再次诊断。表明:(1)夏季高原东侧有时两支气流交绥很清楚,温度对比明显,与梅雨锋的情况很不相同,这在夏末尤其如此。这种温度对比区虽比冬季弱,但是,与夏季天气系统的发展及降水是有关系的。(2)模拟结果与实际观测资料是很相似的,再现了两支气流形成切变线的三维结构、移动与演变,并模拟出了在对流层中存在着深厚的24小时变温区;模拟发现,一条东北-西南向的锋生     

通量和平流形式预报方程的数值预报试验

本文利用1982年5月8日和1979年6月28日两个实例,进行了四种方案的48小时数值预报试验,比较了它们的预报质量及彼此间的差异。四种方案是:经典通量、通量修正、经典平流和平流修正。试验表明,在有地形的数值预报模式中,采用平流形式的预报方程组比采用通量形式的为好,既可有较高的计算精度,又可节省计算时间。     

春季高原东侧水平稳定层分析

本文利用稠密的探空资料,分析了春季高原东侧的水平稳定层。确定了该稳定层的范围和强度,指出了其温度、湿度和流场特征,并初步探讨了其维持机制。     

PRELIMINARY STUDY OF BAROTROPIC STOCHASTIC DIFFERENCE MODEL APPLIED TO WEATHER PREDICTION

In order to consider both the deterministic and the stochastic property of atmospheric motion simul-taneously,in this paper,the weather prediction is proposed as the problem of the evolution of meteorologicalfield.The historical viewpoint of atmospheric motion is emphasized here.Based on time series analysis te-chnique,a stochastic-dynamical model with multiple initial fields is derived.Thus,weather forecasting is sum-meal up as a problem of solving a set of stochastic difference equations.For the barotropic atmosphere,thenumerical solutions of the equations are obtained by using the method of empirical orthogonal functions(EOF),and examples of medium-range weather prediction are given here.Meanwhile,selecting the order oftime series,i.e.,determining the number of initial fields properly,is also discussed.