基于锥形量热仪实验的卷烟及其包装材料燃烧特性研究

用ISO5660锥形量热仪研究了成品卷烟及其包装材料的燃烧特性,获得了这些材料在不同热辐射强度下的点燃时间和热释放速率等火灾特性参数.结果表明:烟支及其包装材料受热辐射时均可被点燃,热辐射强度越大,引燃时间越短;随辐射强度的升高样品的热释放速率呈递增趋势;在较强热辐射强度(≥25 kW/m2)下,组合样品的火灾危险性相对较大.     

室内窗帘竖直火蔓延特性全尺寸实验研究

窗帘的安装方式对其燃烧特性有重要影响.基于9705全尺寸热释放速率实验平台,针对三种不同材质的典型窗帘试样,进行了全尺寸火灾实验.测量了试样在不同褶皱程度下的火蔓延速率、热释放速率、产生烟气的比消光系数等火灾参数,分析比较其相互关系,实验结果可为室内火灾动力学发展的数值模拟和火灾安全设计提供支撑与指导.     

FDS与Pathfinder在建筑火灾与人员疏散中的应用

对FDS(Fire Dynamics Simulator) 在建筑火灾中的应用进行分析和探讨,结合在高校宿舍火灾模拟计算中的经验,给出FDS 应用中的建模、模拟计算、数据分析的一些方法和技巧.结合Pathfinder对人员疏散的模拟,给出了人员疏散对应的时间,并对FDS 与Pathfinder在现代建筑火灾模拟与人员疏散方面的应用作了相关阐述.     

FDS+Evac软件在火灾逃生中的应用

对人员疏散模拟软件FDS+Evac在火灾逃生中的应用进行了探讨和分析.结合使用该软件的经验与体会,总结了FDS+Evac建模、记事本编程、计算结果分析的一些方法和调试技巧,展望了其在火灾和其他紧急疏散领域的应用.     

氨浸出含锌烟尘制取活性氧化锌

采用氨浸出法处理含锌烟尘,浸出液在微波-超声波联合作用下蒸氨得碱式碳酸锌沉淀,再经煅烧制得活性氧化锌.实验结果表明:在总氨浓度为9.0 mol/L、浸出温度为40 ℃、浸出液初始pH为 11.0～11.5、搅拌转速为400 r/min、浸出剂体积与含锌烟尘质量比为4、浸出时间为60 min的浸出条件下,锌的浸出率为83.3%.浸出液经过两段净化除杂后,在超声波功率50 W、微波辐射(微波功率随温度的设定而自动变化)的联合作用下,使溶液体系恒温90 ℃,进行蒸氨,沉淀得到前驱体碱式碳酸锌,经煅烧,得到平均直径为0.4 μm、晶型为六方晶系、片状的活性氧化锌.     

活性炭微波再生的研究及应用

阐述了利用微波辐射法来再生活性炭,并分别考察需再生活性炭的浓度、微波功率、微波的时间以及碱度对活性炭再生后吸附性能的影响.实验结果表明,将1.5 g活性炭在100 mL浓度为1 mol/L的NaOH溶液活化,在微波功率为560 W,微波时间为3 min的条件下再生性能最佳;再生后的活性炭去吸附焦化废水可将焦化废水的COD降到了100 mg/L,达到了废水的出水标准.     

Environmental–geochemical characteristics of Cu in the soil and water in copper-rich deposit area of southeastern Hubei Province, along the middle Yangtze River, Central China

In this study, the natural Cu background concentration and Cu natural and anthropogenic contamination in soil, water and crop were investigated systematically in Huangshi area. The results show that regional geology is the dominant factor controlling the natural Cu background concentration in soil and water, and that pH is important to control the vertical distribution of Cu in soil under the same geographical and climatic conditions. The mineralization of rock bodies causes the natural Cu increase in soil and water, whereas, a large number of mining–smelting plants and chemical works are the main sources of Cu anthropogenic contamination. Cu in naturally and anthropogenically polluted soil displays differences in total and available contents, vertical distribution patterns and physico-chemical properties, the same happens in water.     

废水可生物降解COD组分2种表征方法的比较

利用自行开发的混合呼吸速率测量仪在接种污泥的条件下对重庆某城市污水处理厂污水进行了呼吸速率测试（短期BOD测试,以呼吸速率测量重新进入内源呼吸阶段为结束）;同时应用美国产BI-2000电解质呼吸仪在不接种污泥的条件下对该污水进行了BOD测试（长期BOD测试,理论上以污水中所有有机物矿化为结束）。对2种测试方法及其结果进行了比较,结果表明,2种方法得到的BCOD存在很大差异,短期BOD测试方法得到的结果仅为长期BOD测试方法得到的结果的40％～60％。通过批式呼吸测量方法测定了原废水中的活性异养微生物浓度XH(0),结果表明,XH(0)与BCOD_st之和与BCOD_lt比较接近,两者之比在0.88～1.02之间,平均值为0.94。     

China＇s Total Emission Control Policy： a Critical Review

As part of a comprehensive environmental management system, many countries establish emission control targets for mass emissions of a pollutant. Such targets are often the key objective of an environmental policy, such as an emission trading program. In China, however, it is more than just an objective of one particular policy; it has become a concept that has influenced many national environmental policies and activities. The objective of this article is to review the implementation of the total emission control policy in the past 10 years and explore emerging issues in its implementation. The article has three sections： a summary of the implementation experience, issues with the design and implementation of the policy, and policy recommendations.     

Assimilating concentration observations for transport and dispersion modeling in a meandering wind field

Assimilating concentration data into an atmospheric transport and dispersion model can provide information to improve downwind concentration forecasts. The forecast model is typically a one-way coupled set of equations: the meteorological equations impact the concentration, but the concentration does not generally affect the meteorological field. Thus, indirect methods of using concentration data to influence the meteorological variables are required. The problem studied here involves a simple wind field forcing Gaussian dispersion. Two methods of assimilating concentration data to infer the wind direction are demonstrated. The first method is Lagrangian in nature and treats the puff as an entity using feature extraction coupled with nudging. The second method is an Eulerian field approach akin to traditional variational approaches, but minimizes the error by using a genetic algorithm (GA) to directly optimize the match between observations and predictions. Both methods show success at inferring the wind field. The GA-variational method, however, is more accurate but requires more computational time. Dynamic assimilation of a continuous release modeled by a Gaussian plume is also demonstrated using the genetic algorithm approach.