好氧颗粒污泥沉降选择实验研究与定量描述

以序批式反应器培养的成熟好氧颗粒污泥为对象,研究沉淀高度对颗粒数、比重、污泥浓度、粒径分布及选择系数的影响.结果表明,随着沉淀高度的增加,污泥浓度在沉淀时间为30 s时由0.24 mg.L-1明显增加至6.07 mg.L-1,平均粒径从450μm增加到550μm,颗粒圆形度增加12.67%,而复杂度减小13.47%,说明粒径较大、形状较规则的颗粒沉降较快,从而更易在沉降选择过程中得以保留.根据选择压原理,结合颗粒污泥沉降实验结果引入选择系数.实验和计算结果显示,在任意沉淀高度,选择系数随粒径和密度的增大而增加.随着沉淀高度的增加,直径>600～800μm的颗粒选择系数增加,小颗粒趋势与之相反,说明增大排水比有利于大颗粒保留而絮体被筛选出反应器,而低的排水比会使污泥颗粒化过程放缓.该研究结果可望对加速污泥颗粒化过程和提高其稳定性提供科学的理论依据和指导.     

基于CFD的内构件强化内循环流化床流场结构分析

针对流化床内部流体结构的复杂性和缺乏有效放大设计理论的问题,以漏斗型导流内构件强化的内循环流化床的气液运动为研究对象,利用欧拉-欧拉双流体模型构建了能描述其复杂流动的CFD数学模型,通过宏观流场、气含率分布、液体速度分布解析内构件对气液混合传质的作用原理.数值模拟结果表明:双流体模型能较好地揭示流化床内气液流场结构,流...     

CFD技术在水处理紫外消毒中的应用

介绍了紫外消毒在水处理中应用的现状,阐述了计算流体力学(CFD)的基本原理及其应用背景;论述了CFD技术在紫外消毒模型建立方面的关键因素:水力、辐射和剂量模拟;从消毒效率预测和设备结构优化两个方面对CFD技术在水处理紫外消毒中的应用进行了分析,并对其前景进行了展望,提出了今后的研究重点。     

L形和U形三维钝体结构绕流的数值模拟研究

采用大涡模型对L形和U形三维钝体建筑物的绕流特性和风压分布特性进行数值研究.考虑平均和脉动速度入口边界,在雷诺数为1.5×105～7×105条件下,对2种钝体的9种分析工况进行瞬态动力分析,并将计算结果与已有研究进行对比.研究表明,钝体绕流对周围流场影响的强弱程度依次为尾流区、屋顶区、来流区,影响大小随着流场与钝体之间...     

基于事故逆向再现的车辆追尾事故仿真分析研究

为认定车辆碰撞事故的性质及责任,动态还原事故发生过程。提出1种逆向事故分析再现方法,经过坐标系旋转后构建确定方程组的车辆碰撞瞬间解析计算模型,并经过实车碰撞实验数据验证其计算精度与三维再现的准确性。利用Crashview软件对1起车辆追尾事故进行仿真分析,解析计算得出车辆碰撞瞬间车速和碰撞前行驶车速,实现事故二维过程重构和三维模拟再现。结果表明:计算分析车速与VDR记录车速误差在5%以内,模拟再现轨迹与事故现场实测痕迹基本吻合,所构建的方法可有效用于车辆追尾碰撞事故辅助分析鉴定,为事故过程分析提供理论依据。     

隧道救援站通风网络优化设计及人员疏散研究*

为确定铁路隧道救援站最佳通风结构,对烟道布置提出合理建议,采用计算流体力学（CFD）的方法,对铁路隧道救援站通风网络进行优化设计。同时,采用模拟计算的方法对救援站人员疏散进行模拟分析,确定救援横通道布置及防护门开度设置的合理性。研究结果表明:在同等通风参数工况设置下,采用多节点排烟竖井结构后各救援横通道流量分配更均匀,救援站压力平衡性更好,通风效率可提升15%;通过疏散模拟证实,在长560 m的紧急救援站范围内设置10条疏散横通道,横通道设1.7 m宽的逃生门能够满足疏散要求。     

系统动力学复杂性及其在海洋生态学中的研究进展

海洋生态系统具有开放性、耗散性和非线性等特点,可以借助于系统动力学方法对其研究.系统动力学研究一个不可回避的问题就是系统动力学复杂性.本文在简单介绍几种常见的系统动力学模型及其复杂性问题的基础上,系统阐述了当前系统动力学复杂性在海洋生物多样性的维持、海洋生态系统的物质循环、海洋生物群落结构稳定性、有害藻类的暴发、海洋污染物的扩散、海洋生态毒理动力学、海洋生物资源的开发与管理等方面的应用、研究进展及相关问题.在总结以上研究进展的基础上,本文对系统动力学复杂性在海洋生态学研究中的应用进行了展望.     

Influence of Building Density and Roof Shape on the Wind and Dispersion Characteristics in an Urban Area: A Numerical Study

The Computational Fluid Dynamics code CFX-TASCflow is used for simulating the wind flow and pollutant concentration patterns in two-dimensional wind-tunnel models of an urban area. Several two-dimensional multiple street canyon configurations are studied corresponding to different areal densities and roof shapes. A line source of a tracer gas is placed at the bottom of one street canyon for modelling street-level traffic emissions. The flow fields resulting from the simulations correspond to the patterns observed in street canyons. In particular and in good agreement with observations, a dual vortex system is predicted for a deep flat-roof street canyon configuration, while an even more complex vortex system is evidenced in the case of slanted-roof square street canyons. In agreement with measurement data, high pollutant concentration levels are predicted either on the leeward or the windward side of the street canyon, depending on the geometrical details of the surrounding buildings.     

Reflections on the use of Bayesian belief networks for adaptive management

A broad range of tools are available for integrated water resource management (IWRM). In the EU research project NeWater, a hypothesis exists that IWRM cannot be realised unless current management regimes undergo a transition toward adaptive management (AM). This includes a structured process of learning, dealing with complexity, uncertainty etc. We assume that it is no longer enough for managers and tool researchers to understand the complexity and uncertainty of the outer natural system-the environment. It is just as important, to understand what goes on in the complex and uncertain participatory processes between the water managers, different stakeholders, authorities and researchers when a specific tool and process is used for environmental management. The paper revisits a case study carried out 2001-2004 where the tool Bayesian networks (BNs) was tested for groundwater management with full stakeholder involvement. With the participation of two researchers (the authors) and two water managers previously involved in the case study, a qualitative interview was prepared and carried out in June 2006. The aim of this ex-post evaluation was to capture and explore the water managers' experience with Bayesian belief networks when used for integrated and adaptive water management and provide a narrative approach for tool enhancement.