水解池-稳定塘工艺对难降解有机污染物的去除

色谱－质谱联机测定结果表明,水解池能将大分子难降解有机物转化为小分子物质,从而加速了污水在后续稳定塘中的降解。这使得新工艺比对照的传统初沉池－稳定塘工艺减少停留５０％,占地面积５０％以上。本文还研究了三氯甲烷,二氯乙烯,二氯乙烷和四氯乙烷和四氯化碳在新工艺中的去除情况,实验表明,水解池中存在还原脱卤过程,而挥发是稳定塘去除卤代烃的主要途径。     

影响三沟式氧化沟脱氮效果的2个重要参数

运行周期中反硝化运行和硝化运行的时间比ｔＤＮ／ｔＮ是平衡处理系统反硝化,硝化能力的重要参数,实验室条件下分别比较了ｔＤＮ／ｔＮ为０．２７,０．４０,０．４７,０．７５和１．０的５种不同组合的运行效果。结果表明,当ｔＤＮ／ｔＮ为０．４０时,即硝化能力略大于反硝化潜能时,脱氮效果最好。     

活性炭吸附室内空气中挥发性有机化合物

活性炭吸附室内空气中挥发性有机化合物的１０％穿透时间与气相浓度及挥发性有机化合物的种类有关,通过对苯、甲苯和丙酮的实验研究,得出了由高浓度估算室内低浓度时炭床１０％穿透时间的经验公式ｔｂ,１＝ｔｂ,ｈ（Ｃ０,１／Ｃ０,ｈ）＾ａ,其中ａ值是与炭床性能及挥发性有机化合物种类有关的参数,可通过实验确定。     

Main particulate matter components in Saxony (Germany)

Aerosol filter samples have been collected nearby the industrialised basin of Leipzig in Saxony (Germany) at the research station Melpitz of the Institut für Troposphärenforschung e.V. (IfT). Time series (1992–1998) and a three year comparison (1995–1997) of two different aerosol filter sampling systems, the Sierra-Andersen-PM 10 high volume sampler (daily sample, PM 10 inlet) and the Rupprecht and Patashnik Co. Inc. Model Partisol 2000 (weekly sample, PM 10 and PM 2.5 inlet) are presented and discussed. The comparison of the different sampling systems and strategies yields small differences between the daily and weekly samples for mass and different ions, which may be influenced by sampling duration and flow rates. A general trend of change in aerosol composition was observed: Soot and Sulphate concentrations decreased whereas Nitrate and Ammonium concentrations increased. During summers the mass of coarse particles is higher than in other seasons. One reason could be found in the occurence of longer periods of dry ground surfaces enabling reemission of crustal and biological material. The time series have been integrated in a longer historical aerosol mass trend for Saxony and do show a good agreement. Since 1990 a significant downward trend in gravimetric mass concentration was found.     

Trends of air pollution in the Fichtelgebirge Mountains, Bavaria

We analyzed 13 years of hourly measurements of SO₂, NO_x, and O₃, at forest ecosystem research sites in SE Germany. A quasi-continuous data record was obtained by combining data sets from two locations. Before interpreting trends in the combined data set, we analyzed if the change of location introduced a systematic bias. We employed autocorrelation functions, Hurst statistics, complexity analysis, and recurrence quantification and found that the partial data sets exhibited no indication of the presence of any bias. For SO₂, we also compared the data from the forest sites with data obtained in nearby cities and also found no indications for any systematic effects. Applying nonparametric trend statistics we found a significant decrease of the SO₂. Most of the observed decrease is due to the reductions of SO₂ emissions in eastern Germany, but reductions in western Germany and the Czech Republic also played important roles. For O₃, we observed a significant increase, the causes of which are unclear from our data alone. No trend was identified for NO_x.     

冲击载荷作用下某型气囊缓冲性能影响研究

目的 研究冲击载荷作用下排气孔面积及初始缓冲时刻对某型气囊缓冲性能的影响.方法 采用MIMICS软件,并结合LS-Prepost软件,建立髋骨-气囊-地面有限元模型,利用LS-DYNA软件对气囊的缓冲过程进行仿真计算,得到缓冲过程中该模型的动力学响应结果.通过分析髋骨模型受力及气囊状态的变化,探讨排气孔面积及初始接触时...     

基于Logistic的不同车型碰撞行人事故严重程度致因分析

为定量分析不同车型碰撞行人事故严重程度影响因素,以美国北卡罗来纳州2007-2016年人车碰撞事故数据为样本,将其分为小轿车、SUV、货车碰撞行人事故3类,以事故严重程度为因变量,交通参与者属性、道路、环境条件和事故特征为候选自变量,分别建立累计logistic模型进行对比分析,探究人、车、路和环境因素对人车碰撞事故严...     

基于最优传递矩阵的层次分析法在桥梁震害评估中的应用

影响桥梁抗震性能的因素众多,鉴于传统的定量方法无法精确权衡各因素的影响程度,因此,考虑将不确定型层次分析法引入桥梁的震害评估中,对区间标度的合理选择作了简要讨论,运用1～9标度采集数据,兼顾10/10～18/2标度的精确性,对初始判断矩阵进行折算。利用最优传递矩阵的概念,对传统的AHP进行改进,直接求出各指标的权重值。并将此方法应用到实例当中,建立基于地震波、墩台基础、支座、结构因素、环境因素等多因素影响下的桥梁震害评估模型,得到桥梁最终的综合评估值。     

地震预警系统中的算法研究

通过对地震预警系统中基本算法的研究,在现有方法的基础上提出了一套地震参数快速估算的算法,以应用于地震预警系统中。该算法根据某些噪音的特殊性质,通过引入两个参数:触发时窗与取消阈值,对常用的P波初到判断方法STA/LTA(长时窗平均/短时窗平均)算法进行改进,以消除P波到达前的异常跳动点与脉冲噪音的影响,对P波到达进行识别。在识别到P波到达后,该算法实时的从P波初到后3s时窗内的竖向数据中提取出12类特征性质不同的计算参数作为估算震级,震中距等地震参数的依据,提高了震级、震中距的估算精度,减少了在大震下估算的离散性,取得了较好的结果。该算法可在地震P波到达后的几秒钟内,估算出地震相关参数,在S波到达前发出预警,并为采取相应的措施以及震后求援行动提供判断依据,达到防灾减灾的目的。     

基于可公度法的航材故障预测

介绍了可公度性的概念和可公度信息预测理论。应用可公度信息预测理论,以故障时间窗口期为研究对象,对航材故障预测进行了初步探索,进而建立了一种较为实用的预测模型,并且给出了具体算例,验证所建模型的科学性和有效性。通过与指数平滑法预测模型对比可看到可公度预测模型精度更高且计算模型更为简单,为航材故障次数预测提供了一种解决方案。进而可以更好地应用在实践当中,提高航材管理水平,保障飞行任务的完成。