胡敏酸对铜的鱼鳃生物有效性影响的计算机模拟

以彩虹方头鱼为模拟对象,用鱼鳃微环境测定装置和化学平衡计算方法(MINTEQA2),计算了含和不含胡敏酸的人工河水及暴露于其中的鱼鳃微环境中,不同pH条件下,铜的形态分布.研究了胡敏酸对鱼鳃内外的铜的形态分布及其生物有效性的影响,并讨论了pH对此的影响.计算结果表明,当胡敏酸存在时,胡敏酸络合态铜成为鱼鳃内外铜形态分布体系中的优势态,并引起铜生物有效性的降低.鱼鳃粘液和胡敏酸的共同作用使鱼鳃微环境中的生物有效铜含量低于外部水相.pH对铜形态分布及生物有效性的影响主要发生在碱性环境下.     

介质阻挡放电等离子体分解CO2

温室效应导致全球变暖已成为全球性的环境问题之一.采用放电等离子体法转化CO2,不仅可消纳温室气体,缓解全球变暖的巨大影响,还可制备化工原料CO和O2.充分利用了C1(含1个碳原子的化合物分子)资源,对高频同轴式介质阻挡放电等离子体分解纯CO2进行了研究.结果发现:在采用不锈钢光滑内电极,放电间隙为2.0mm,注入功率为180W,气体流量为170mL/min的条件下,CO2转化率可达18.2%,CO和O2产率分别为10.1%和4.7%;增大注入功率,减小气体流量、选择合适的放电间隙和内电极形式,均有利于提高CO2转化率,获得更多的CO和O2.     

物化——生化两级处理工艺处理粘胶纤维生产废水

介绍粘胶纤维生产废水的来源、水质特点及物化--生化两级处理工艺。给出了主要构筑物的技术参数及实际工程运行效果，并对该工艺存在的问题进行了讨论。     

滇池水污染总量控制中污染源系统特征研究

湖泊流域同入湖水系的流域单元组成，本文以滇池流域单元为基础，进行了污染源总量控制片区划分，并对各片区进行了污染源系统特征研究，从而为滇池主要污染物总量控制提出了工作重点和具体对象。     

污染源排气自动监测氮氧化物的不确定度分析

使用烟气排放连续监测系统自动监测仪器测定污染源排气中氮氧化物,按照最新的《测量不确定度评定与表示》(JJF1059.1—2012)的要求,测量不确定度评定的要求,首次对其氮氧化物自动监测的不确定度进行分析,得出不确定度报告。     

Artificial neural network modeling of dissolved oxygen in the Heihe River, Northwestern China

Identification and quantification of dissolved oxygen (DO) profiles of river is one of the primary concerns for water resources managers. In this research, an artificial neural network (ANN) was developed to simulate the DO concentrations in the Heihe River, Northwestern China. A three-layer back-propagation ANN was used with the Bayesian regularization training algorithm. The input variables of the neural network were pH, electrical conductivity, chloride (Cl^?), calcium (Ca²⁺), total alkalinity, total hardness, nitrate nitrogen (NO₃-N), and ammonical nitrogen (NH₄-N). The ANN structure with 14 hidden neurons obtained the best selection. By making comparison between the results of the ANN model and the measured data on the basis of correlation coefficient (r) and root mean square error (RMSE), a good model-fitting DO values indicated the effectiveness of neural network model. It is found that the coefficient of correlation (r) values for the training, validation, and test sets were 0.9654, 0.9841, and 0.9680, respectively, and the respective values of RMSE for the training, validation, and test sets were 0.4272, 0.3667, and 0.4570, respectively. Sensitivity analysis was used to determine the influence of input variables on the dependent variable. The most effective inputs were determined as pH, NO₃-N, NH₄-N, and Ca²⁺. Cl^? was found to be least effective variables on the proposed model. The identified ANN model can be used to simulate the water quality parameters.     

Influence of glucose feeding on the ligninolytic enzyme production of the white-rot fungus Phanerochaete chrysosporium

The present work studied the influence of glucose feeding on the ligninolytic enzyme production of Phanerochaete chrysosporium in a nitrogen-limited (C/N ratio is 56/8.8 mmol/L) medium. Several sets of shaking flask experiments were conducted. The results showed that 2 g/L glucose feeding on the first day of the culture (24 h after the inoculation) simulated both fungal biomass growth and enzyme production. The manganese peroxidase (MnP) activity was 2.5 times greater than that produced in cultures without glucose feeding. Furthermore, the glucose feeding mode in fed-batch culture was also investigated. Compared to cultures with glucose feeding every 48 h, cultures with glucose feeding of 1.5 g/L (final concentration) every 24 h produced more enzymes. The peak and total yield of MnP activity were 2.7 and 3 times greater compared to the contrast culture, respectively, and the enzyme was kept stable for 4 days with an activity of over 200 U/L. Translated from Acta Scientise Circumstantiae, 2007, 27(3): 363–368 [译自: 环境科学学报]     

厌氧-Carrousel氧化沟处理亚麻沤制废水的试验研究

亚麻沤制废水是一种高浓度有机废水,经厌氧处理后,出水仍不达标.采用厌氧-Carrousel氧化沟进行后续处理试验,并引进了ACF32微生物制剂进行污泥培养,出水CODCr值在200 mg/L左右,TN值维持在22 mg/L左右,TP值维持在3 mg/L以下,最后讨论了试验中影响处理效果的主要因素.     

Markov reliability model research of monitoring process in digital main control room of nuclear power plant

Monitoring process is an important part in a high safety digital main control room of nuclear power plant (NPP), it is the source extracted information and found abnormal information in time. As the human factors events arisen from monitoring process recently take place more and more frequent, the authors propose a reliability Markov model to effectively decrease these abnormal events. The model mainly analyzes next monitoring object probability in terms of current information and plant state. The authors divide digital human–machine interface into two parts that are referred as logical homogeneous Markov and logical heterogeneous Markov. For the former, a series of methods of probability evaluation are proposed, such as, Markov transition probability with condition, probability distributed function with human factors, system state and alarm; for the latter, the authors propose the calculation of probability of correlation degree between last time and next time and probability calculation methods with multi-father nodes. The methods can effectively estimate the transition probability from a monitoring component to next monitoring component at time t, can effectively analyze which information is more important in next monitoring process and effectively find more useful information in time t + 1, so that the human factors events in monitoring process can greatly be decreased.     

趋势分析法评价苯系物标准气体的时间稳定性

根据GB/T 15000.3—2008设计了苯系物标准气体的时间稳定性研究方案,制备了4瓶苯系物标准气体,随着时间的推移进行测定并将结果制图,结果显示量值随时间没有显著的变化趋势。以线性关系为模型,计算线性直线的斜率和斜率的标准偏差,用t检验判断斜率是否显著来评价标准气体的稳定性。计算结果显示,所有斜率均不显著,因此该研究制备的苯系物标准气体能够稳定保存22个月。根据时间稳定性数据计算由不稳定性引起的不确定度,并讨论了这种计算不稳定性引起不确定度的方法对结果有放大的可能性。