Analysis of pollutant levels in central Hong Kong applying neural network method with particle swarm optimization

Air pollution has emerged as an imminent issue in modernsociety. Prediction of pollutant levels is an importantresearch topic in atmospheric environment today. For fulfillingsuch prediction, the use of neural network (NN), and inparticular the multi-layer perceptrons, has presented to be acost-effective technique superior to traditional statisticalmethods. But their training, usually with back-propagation (BP)algorithm or other gradient algorithms, is often with certaindrawbacks, such as: 1) very slow convergence, and 2) easilygetting stuck in a local minimum. In this paper, a newlydeveloped method, particle swarm optimization (PSO) model, isadopted to train perceptrons, to predict pollutant levels, andas a result, a PSO-based neural network approach is presented. The approach is demonstrated to be feasible and effective bypredicting some real air-quality problems.     

The collection of PM10 for toxicological investigation: comparisons between different collecting devices

A positive correlation has been established between increased levels of airborne particulate pollution and adverse health effects, the toxicological mechanisms of which are poorly understood. For toxicologists to unambiguously determine thesemechanisms, truly representative samples of ambient PM₁₀ are required. This presents problems, as PM₁₀ collecting equipment commonly employed, such as the Tapered Element Oscillating Microbalance (TEOM®), heat the inflow toexclude moisture or use fibrous filters, resulting in a PM₁₀sample that may have undergone significant chemical change on thefilter surface or is contaminated by filter fibres. Other systems(i.e. Negretti and Partisol) can successfully collect PM₁₀ without chemical alteration or filter contamination. Comparativecollections from Port Talbot, S. Wales suggest that TEOMs and Negretti/Partisol systems collect different PM₁₀'s; the principle difference arising from the TEOM's heating chamber, which precipitates water-soluble ions and volatilises some organic components. This results in both the mass and compositionof the PM₁₀'s being altered. Particle size distributionsfor Negretti and Partisol collections highlighted differences mainly attributed to different flow rates. The results of thiswork demonstrate that simple correlations between PM₁₀ massand adverse health effects are problematic. Furthermore, elucidation of the complex fractionation and chemical changes indifferent collectors is necessary.     

延迟焦化复合废水处理研究

通过自由沉降和离心分离试验结果的比较，考察了加热离心分离法处理炼油厂含油焦化废水脱除固体颗粒的效果。结果表明，加热离心分离法大大改善了含油焦化废水的脱水和脱固性能，在加热到６０～８０℃时，７５％以上的固体颗粒可被脱除     

高效率颗粒物微物理模型简介与重污染过程应用分析

中国细颗粒物(PM2.5)导致的空气污染和雾霾天气问题越来越突出,在低层对流层中很多地方都有显著的二次颗粒物生成过程,因此对颗粒物物理化学转化过程的研究具有重要意义,其转化过程对空气质量模式模拟和预报的准确性有重要影响。高效率颗粒物微物理(APM)模型经过近20多年的研究和发展,在全球化学传输模型(GEOS-Chem)、区域性气象和化学预报模型(WRF-Chem)通用地球系统模型(CESM-CAM5)等气象及环境空气质量预报模型中取得了很好的应用验证,能够在全球/区域等不同尺度对粒子生成、长大、凝聚、消除等微物理过程以及气溶胶光学厚度(AOD)、直接/间接辐射强迫等进行模拟。应用GEOS-Chem-APM模式模拟了2014年2月京津冀区域的重污染过程。结果显示,湿度模拟的准确性对其他物理和污染物浓度等模拟结果有重要作用;2月20—26日的重污染过程模拟结果与实际观测较为吻合,主要污染特点是较高的湿度(90%以上),同时,二次颗粒物和包裹了二次物种的一次颗粒物(黑碳/有机碳)是低能见度的最大贡献者。     

北京城区冬季道路灰尘粒度特征分析

对2013年1月于北京城区采集的40组道路灰尘样品用激光粒度仪进行粒度测定。结果表明:北京城区冬季道路灰尘频率曲线呈单峰态或双峰态分布,单峰型峰值粒径为112~237μm,双峰型第一峰值粒径为189~286μm,第二峰值粒径为42~57μm。道路灰尘平均粒径为183μm,分选性差,呈极不对称的极正偏宽峰态到窄峰态,属砂土。道路灰尘是局地灰尘和区域灰尘的混合物,且主要为跃移或短时悬浮颗粒物,对大气悬浮颗粒污染物的贡献量不大。研究4种不同道路类型灰尘发现,平均粒径从大到小顺序为快速路支路次干路主干路,分选系数与偏度为快速路主干路次干路支路,峰度无较大区别,细颗粒含量主干路次干路(支路、快速路)。主干路灰尘污染贡献率更高,对大气环境和人体健康的危害潜力不容忽视。     

黄棕壤不同粒级组分对镉的吸附动力学与热力学研究

采用一次平衡法研究了黄棕壤不同粒级组分(粘粒≤2 μm、粉粒2～20 μm、细砂粒20～200 μm、粗砂粒200～2000 μm)对镉的吸附动力学与热力学,并采用拉格朗日假一级动力学方程、假二级动力学方程、颗粒内扩散模型对试验数据进行拟合.结果表明,2种温度下各粒级组分对镉的吸附均可分为快反应和慢反应2个阶段,0～15 min内为快反应阶段,吸附量达到饱和吸附量的95%以上,此后为慢反应阶段;随着温度由25℃升高到45℃,各组分对镉的饱和吸附量增加了4.86%～25.3%;各组分对镉的吸附动力学符合拉格朗日假二级动力学方程,吸附过程以化学吸附为主;二级动力学吸附速率常数表明,随着各组分粒级增大,吸附速率降低;在试验温度范围内随着温度升高,吸附速率加快;吸附过程的限速步骤为颗粒间扩散;各粒级组分对镉的吸附为吸热反应,反应能自发进行.     

曝气强度对膜生物反应器污泥混合液可滤性的影响

主要研究了曝气强度对膜生物反应器(MBR)膜污染的影响.2套MBR采用恒流出水模式连续运行60 d,曝气强度分别为500及100 L/h,应用死端过滤装置来检测不同阶段污泥混合液的可滤性.实验中对不同曝气强度下的溶解性微生物代谢产物(SMP)分子质量分布、颗粒粒径分布、胞外聚合物(EPS)含量进行了测定.结果表明,过高的曝气强度将恶化污泥混合液的可滤性,增加了膜污染速率.进一步研究表明,曝气强度的增加导致了污泥混合液上清液中相对分子质量>10000的SMP浓度的增加,此部分大分子有机物浓度直接影响了污泥混合液的可滤性.过高的曝气强度也导致了污泥絮体中1～10μm细小颗粒和EPS含量的增加.     

大气颗粒物中元素碳的直接测定

对原来用元素分析仪测定大气颗粒物样品中有机碳、元素碳的方法[1 ] 进行改进 ,将差减法间接测定元素碳改为一步直接测定元素碳。有机碳、元素碳的测量标准偏差的平均值分别为 0 35 %、0 34% ,提高了元素碳的测量精度 ,同时避免了误差传递 ,解决了差减法测定元素碳时出现负值的情况。     

Characterization of the Songhua River sediments and evaluation of their adsorption behavior for nitrobenzene

The explosion at a plant of the Jilin Petrochemical Corporation on 13 November,2005,and the spill of an estimated 100 t of toxic substances (nitrobenzene as the main component) into the Songhua River received worldwide attention.This study has focused on the adsorption behavior of nitrobenzene that spilled onto sediments along the Songhua River,which was one of the efforts to evaluate the fate of nitrobenzene after the spillage event.The organic carbon contents of these sediments along the Songhua River ...