Application of CFD Methods for Modelling in Air Pollution Problems: Possibilities and Gaps

Different urban air pollution problems deal with complex structure of air flows and turbulence. For such problems the Computer Fluid Dynamics (CFD) methods become widely used. However, this approach despite a number of advantages has some problems. Experience of use of CFD tools for development of models and suggestions of their applications for a local scale air pollution over a complex terrain and stable stratification are discussed in this paper, including: Topography and complex geometry: choose of the co-ordinate system and computer grid; Turbulence closure for air pollution modelling: modified k- model for stable stratified ABL; Boundary conditions for vertical profiles of velocity for stable-stratified atmosphere; Effects of the radiation and thermal budget of inclined surfaces to dispersion of pollutants; Artificial sources of air dynamics and circulation.Some examples of CFD applications for air pollution modelling for a flat terrain, mountainous area, mining open cast and indoor ventilation are discussed. Modified k- model for stably-stratified ABL is suggested. Due to the isotropic character of the k- model a combination of it in vertical with the sub-grid turbulence closure in horizontal can be more suitable for ABL. An effective scheme of boundary conditions for velocity profiles, based on the developed similarity theory for stable-stratified ABL, is suggested. Alongside with the common studies of atmospheric dispersion, the CFD methods have also demonstrated a good potential for studying anthropogenic and artificial-ventilation sources of air dynamic and circulation in local-scale processes of air pollution.     

冲气噪声的消声装置

阐述了冲气噪声的产生机理和消声装置结构、消声原理及消声效果，该装置已被广泛采用。     

明渠潮流中垂向紊动射流流场的数值模拟

选用ｋ－ε双方程紊流模型，对自由水面做“动”刚盖假设，建立了明渠潮流中垂向射流流场的数学模型，根据潮汐流动返复回荡的特点，对离散方程组的求解采用“跟踪扫描”逐行求解法，保护和加快了解的收敛，计算了５种不同回荡周期情况下射流流场的变化过程，预报回流区高度与实测值吻合。分析了潮汐非恒定性的影响，获得了一些有益的结论。     

深凹露天矿流场与污染物散布的模拟研究

利用高阶矩湍流闭合方案建立了一个三维非静力高分辨率ＰＢＬ数值模式，并用此模式模拟了中性层结条件下一个深凹露天矿区实际地形的流场结构与湍流特性，分析并揭示露天矿自然通风特性，为进一步研究露天矿污染扩散规律提供背景流场。数值模拟的一些结果与同样试验条件下的风洞试验结果吻合甚好。     

山区盆地大气湍流特征与污染扩散的数值试验

运用三维非表在气动力学数值模式，模拟了稳定、中性和不稳定３种层结下山区盆地的大气湍流和污染扩散特区通过模拟认为，在山区复杂地形条件下，由风切变引起的机械湍流是湍流动运动的主要形式之一，它主受风速的影响，同时，在非中性层结下，热力湍也是充运动的主要形式之一，由于地形复杂和层荮变化，使得污染扩散与平原地区有较大差异，在稳定层结条件下可以产生高浓度的污染。     

台风湍流积分尺度与脉动风速谱——基于实测数据的分析

基于4个台风过程中的长时间序列风速、风方向观测数据，分析研究了近地台风的湍流积分尺度和脉动风速谱等脉动特性。介绍了湍流积分尺度的几种常见的计算方法，基于实测台风数据，分析研究了台风过程中湍流积分尺度的变化以及不同计算方法的稳定性。根据实测数据计算了纵向脉动风速谱，并与Von-Karman谱、Davenport谱、Simiu谱和Harris谱等经验谱进行了比较，给出了最适合描述台风纵向脉动风速谱的经验谱。还计算了横向脉动风速功率谱，并与基于各向同性湍流理论推导出的水平横向脉动风速谱进行了对比。     

矿井井筒提升设备绕流的数值模拟

基于经典的流体力学理论,建立罐笼绕流的二维RNGκ-ε湍流模型,分析其初始边界条件,并结合工程实际应用FLUENT计算流体动力学软件模拟罐笼运行时井筒内流场及压力场,得出井筒内流场及压力场的变化规律。研究结果表明:在罐笼运行期间,由于空间受限而引发活塞效应,井筒内压力发生瞬态变化,造成通风系统的压力波动,导致气流运动的动态改变,对通风系统稳定性有一定的影响。     

Experimental investigation of the e ect of flow turbulence and sediment transport patterns on the adsorption of cadmium ions onto sediment particles

The mechanism of flow turbulence,sediment supply conditions,and sediment transport patterns that affect the adsorption of cadmiumions onto sediment particles in natural waters are experimentally simulated and studied both in batch reactors and in a turbulencesimulation tank.By changing the agitation conditions,the sediment transport in batch reactors can be categorized into bottom sediment-dominated sediment and suspended sediment-dominated sediment.It is found that the adsorption rate of bottom sediment is much lessthan that of suspended sediment,but the sediment transport pattern does not affect the final(equilibrium)concentration of dissolvedcadmium.This result indicates that the parameters of an adsorption isotherm are the same regardless of the sediment transport pattern.Inthe turbulence simulation tank,the turbulence is generated by harmonic grid-stirred motions,and the turbulence intensity is quantifiedin terms of eddy diffusivity,which is equal to 9.84F(F is the harmonic vibration frequency)and is comparable to natural surfacewater conditions.When the turbulence intensity of flow is low and sediment particles stay as bottom sediment,the adsorption rateis significantly low,and the adsorption quantity compared with that of suspended sediment is negligible in the 6 h duration of theexperiment.This result greatly favors the simplification of the numerical modeling of heavy metal pollutant transformation in naturalrivers.When the turbulence intensity is high but bottom sediment persists,the rate and extent of descent of the dissolved cadmiumconcentration in the tank noticeably increase,and the time that is required to reach adsorption equilibrium also increases considerablydue to the continuous exchange that occurs between the suspended sediment and the bottom sediment.A comparison of the results ofthe experiments in the batch reactor and those in the turbulence simulation tank reveals that the adsorption ability of the sediment,andin particular the adsorption rate,is greatly over-estimated in the batch reactor.     

城市复杂环境下涡度相关通量观测的适用性分析

利用涡度相关技术,于2008—2009年对北京325 m铁塔47 m、140 m和280 m高度处CO2和能量通量进行了观测.研究了涡度相关技术应用于城市环境通量长期观测中的理论问题和方法适用性.结果表明,平面拟合方法受地面建筑物的影响明显,不同的坐标旋转方法所计算CO2通量差异在15%以内,这种差异随着观测高度的增加而减小.稳态检验表明,城市环境下低质量的数据分布没有明显的日变化趋势.CO2通量在各自通量贡献区内明显受到平流输送的影响,47~140 m之间的平流约占140 m日累计CO2通量的33%.白天对流混合,污染物浓度梯度很小,垂直平流不大,水平平流占据了平流输送的绝大多数,夜间水平平流和垂直平流则具有相同量级.     

ACCURACY AND RELIABILITY OF NUMERICAL RIVER MODELS1

ABSTRACT: Over the last 20 years, our possibilities to model river flows numerically have increased enormously. In this paper, the question is addressed whether a more sophisticated model is always better than a simpler one. Increased detail, both in finer resolution and in physical processes taken into account, has its price in more computer time, higher data need, and perhaps more unknown coefficients to be calibrated. Moreover, uncertainty in actual physical conditions (e.g., bottom roughness), inflow and parameters remains, which may dominate the uncertainty of the results. Also, the questions asked by a decision maker may not always be very precise. For a schematic but relevant example, we show that a better model does not necessarily give more reliable results because some of the basic uncertainties remain. It is concluded that we should use the simplest model that will answer the question as to the accuracy needed, taking into account uncertainties in the data