2,5-二氟硝基苯的厌氧降解特性

考察了2,5-二氟硝基苯(2,5-DFNB)的厌氧降解特性及F~-对其厌氧降解过程的影响。实验结果表明:当初始2,5-DFNB质量浓度为5~100 mg/L时,随着降解时间的延长,2,5-DFNB对厌氧消化产甲烷的抑制效应逐渐减弱直至消失;在厌氧降解过程中,2,5-DFNB的降解基本无延滞期,但仅发生了硝基转化,并未实现还原脱氟;2,5-DFNB的厌氧降解动力学符合Andrews模型,最大比降解速率、底物饱和常数、底物抑制常数分别为5.9 mg/(g·h),67.7 mg/L,1 299.6 mg/L;质量浓度为10~80 mg/L的F~-对2,5-DFNB厌氧降解过程影响甚小,而质量浓度大于100 mg/L时则产生了较严重的抑制作用。     

Using an expanded Safety Failure Event Network to analyze railway dangerous goods transportation system risk-accident

In order to improve the reliability and safety of railway dangerous goods transportation system (RDGTS), and prevent the similar accidents happened again, an easier operated, dynamic, systemic and quantitative approach called expanded Safety Failure Event Network (SFEN) is proposed to analyze the past typical RDGTS accidents. The expanded SFEN focuses on transfer the traditional safety occurrence process into a visible Accident Analysis Network (AAN) platform. To improve the previous SFEN approach, the risk factors categories are expanded including Human actions, Technical failure, Nature of transported goods, Environment factors, Management failure and External factors of the system. An AAN is established by using the risk factors as the nodes and using the interactions among these risk factors as the edges, the RDGTS risk analysis problem is transferred into a quantitative network structure analysis problem from a network perspective. After that, based on the AAN, TouchGraph and NetMiner are applied to calculate and rank the centrality degree of each sub-risk factor (or sub-heading) in a network. A RDGTS accident happened in 2001 is analyzed, the results show that TouchGraph and NetMiner can present the same interactions and importance of sub-risk factors (or sub-headings) through visible circle images in the platform, NetMiner is more digital because the results can be presented as the centrality degree values. The greatest contributed sub-risk factors are Equipment maintenance failure and Railway inspection agency failure, followed by cargo packaging problems, illegal entrainment problem. Misbehaves of the freight inspector with centrality degree 0.523810 shows that this sub-heading has the greatest contribution to the accident.     

Bioaccumulation of decamethylcyclopentasiloxane in perch in Swedish lakes

Decamethylcyclopentasiloxane (D5), a high production volume chemical used in personal care products, enters the environment both via air and sewage treatment plant (STP) recipients. It has been found in fish, and there is concern that it may be a bioaccumulative substance. In this work D5 was analyzed in perch from six Swedish lakes that did not receive STP effluent, and in perch and sediment from six lakes that received STP effluent. In the lakes receiving the STP effluent, the D5 concentrations in sediment varied over three orders of magnitude and were correlated with the number of persons connected to the STP normalized to the surface area of the receiving body. In the lakes not receiving effluent, the D5 levels in perch were all below the LOQ, while D5 was above the LOQ in almost all perch from lakes that received effluent. The D5 concentrations in perch and sediment from the lakes receiving STP effluent were correlated. This shows that STP effluent is a much more important source of D5 to aquatic ecosystems than atmospheric deposition, and that the risk of adverse effects of D5 on aquatic life will be greatest in small recipients receiving large amounts of STP effluent. The bioaccumulation of D5 was compared to that of PCB 180 on the basis of multimedia bioaccumulation factors (mmBAFs), which describe the fraction of the contaminant present in the whole aquatic environment (i.e. water and surface sediment) that is transferred to the fish. In four of the six lakes the mmBAF of D5 was >0.3 of the mmBAF of PCB 180. Given that PCB 180 is a known highly bioaccumulative chemical, this indicates that the bioaccumulation of D5 in perch is considerable.     

Accounting for intended use application in characterizing the contributions of cyclopentasiloxane (D5) to aquatic loadings following personal care product use: Antiperspirants,skin care products and hair care products

Decamethylcyclopentasiloxane, commonly known as D5 (cyclopentasiloxane) has a wide application of use across a multitude of personal care product categories. The relative volatility of D5 is one of the key properties attributed to this substance that provide for the derived performance benefits from the use of this raw material in personal care formulations. On this basis, rapid evaporative loss following use of many products comprising D5 is expected following typical use application and corresponding wear time.     

BP神经网络对蚯蚓滤池处理COD的模拟预测

基于蚯蚓滤池处理去除污染物的非线性特点,利用BP神经网络建立了蚯蚓滤池处理COD的基本模型结构。同时对实验数据进行了验证和预测,通过权值贡献率分析确定了各种输入因素对COD出水浓度的影响。结果表明:COD的出水模型预测值与实际值平均误差较小,模型稳定,预测效果好。输入神经元为4,隐含神经元为8,输出神经元为1,学习速率为0.1,动量为0.1,训练次数为10 000的BP神经网络模型,预测的COD出水值最接近真实值。COD进水浓度对COD出水影响最大,符合理论研究结果。BP神经网络模型建立的成功为后续生活污水智能化控制的研究提供了相应的理论基础。     

铁碳微电解预处理TNT红水

为了寻求经济有效的TNT红水处理技术,对铁碳微电解工艺预处理TNT红水进行了研究。结果表明,当pH值为3,铁碳质量比0.25∶1,曝气3 h时,COD去除率达到10.1%,2,4-二硝基甲苯-3-磺酸(2,4-dinitrotoluene-3-sulfonic acid,2,4-DNT-3-SA)和2,4-二硝基甲苯-5-磺酸(2,4-dinitrotoluene-5-sulfonic acid,2,4-DNT-5-SA)的去除率分别可达到10.4%和12.0%;铁碳微电解可以将TNT红水中部分有机物进行转化或去除,经过铁碳微电解后,红水中的有机物从原来的11种变为16种。大部分有机物得到了不同程度的转化,其中1,3,5-三硝基甲苯相对含量降低得最多。     

多元回归和BP人工神经网络在预测混合厌氧消化产气量过程中的应用比较

对脂肪类单基质和城市污水厂剩余污泥混合厌氧消化过程的产气阶段进行基于多元回归和BP人工神经网络的产气量预测模型比较研究。实验数据分别取自反应过程的第1～16天和第17～70天。结果表明:多元回归模型的预测平均准确率分别为75.69%和79.29%;BP神经网络模型的预测平均准确率为79.05%。通过对比2种模型的预测结果可知,两种模型都有较高的预测准确率,但BP模型的预测准确率更高,更适用于混合厌氧消化产气量预测。     

新型多功能螯合树脂的合成及对水中Cd(II)离子的吸附特征

研究了使用交联聚苯乙烯叔胺树脂为前驱体与5-氯甲基水杨醛经搅拌反应合成季铵盐型多功能螯合树脂及其对水中Cd(Ⅱ)离子的吸附特征。结果表明,水杨醛单元成功地连接到树脂表面,其含量为1.89 mmol/g。通过浓度、pH值、时间等条件的变化对吸附性能进行研究,得到了25℃时Cd(Ⅱ)的最佳吸附条件:Cd(II)离子浓度为600μg/L,pH=6.0,吸附达平衡的时间约为4 min,树脂的最大吸附量为200.0μg/g,吸附符合Langmuir等温式。pH=6.0时,对重金属离子Zn(Ⅱ)、Cu(Ⅱ)、Ni(Ⅱ)、Hg(Ⅱ)、Pb(Ⅱ)和Cr(Ⅲ)吸附能力强但选择性较差。     

铜-胺改性ZSM-5吸附剂的制备及其对NOx的净化机理

以ZSM-5分子筛粉体为原料,成型后负载铜盐和有机胺改性,制备出一种高效脱除氮氧化物的吸附剂。通过改变铜盐、有机胺的含量以及铜盐活化温度使吸附剂的性能得到优化,在实验条件下（NO₂初浓度1 000 mg/m³,气流2.7 L/min）床层对NO₂动态吸附的透过时间由改性前的3 min提高到90 min,并使NO气体的释放得到有效减缓。通过动态吸附实验研究了NO释放时间在负载前后的变化,通过X射线光电子能谱（XPS）和红外分析（FTIR）研究了吸附剂表面铜元素、有机基团等在吸附前后的变化规律,提出了可能的净化机理。     

复合型异质结催化剂AgI-BiOI/ZSM-5可见光催化氧化NO

采用液相浸渍沉淀法制备AgI-BiOI/ZSM-5异质结催化剂,通过X-射线衍射(XRD)、紫外-可见光漫反射光谱(DRS)、扫描电镜(SEM)和交流阻抗(EIS)等表征技术对样品进行表征分析,研究AgI-BiOI/ZSM-5催化剂在可见光条件(λ＞ 420 nm)下催化氧化NO的可行性及异质结催化剂的稳定性.研究结果表明,所制备的AgI-BiOI/ZSM-5催化剂在可见光下催化氧化NO的效率达到90％,表现出良好的催化活性,而且AgI-BiOI/ZSM-5在反复使用5次后其催化活性基本保持不变.EIS测试结果表明,AgI-BiOI/ZSM-5异质结的形成有利于光生电子和空穴的分离,从而提高了AgI-BiOI/ZSM-5的催化活性和稳定性.