改性污泥活性炭吸附废水中Cr(Ⅵ)的性能研究

以污水处理厂剩余污泥为原料,1.0 mol/L KOH做活化改性剂,制备污泥活性炭,探讨不同条件下其对废水中Cr(VI)的吸附性能.结果表明,污泥活性炭对Cr(VI)吸附的最佳条件为:pH为2,温度为25℃,污泥活性炭投加量为5 g/L,吸附时间为40 min.此条件下,废水中Cr(VI)的去除率可达99%以上.动力学分析表明,污泥活性炭对Cr(VI)废水的吸附符合准二级动力学方程与Langmuir等温式.     

Using polarized muons as ultrasensitive spin labels in free radical chemistry

In a chemical sense, the positive muon is a light proton. It is obtained at the ports of accelerators in beams with a spin polarization of 100%, which makes it a highly sensitive probe of matter. The muonium atom is a light hydrogen isotope, nine times lighter than H, with a muon as its nucleus. It reacts the same way as H, and by addition to double bonds it is implemented in free radicals in which the muon serves as a fully polarized spin label. It is reviewed here how the muon can be used to obtain information about muonium and radical reaction rates, radical structure, dynamics, and local environments. It can even tell us what a fragrance molecule does in a shampoo.     

Modeling the effects of concentration history on the slow desorption of trichloroethene from a soil at 100% relative humidity

To determine the effects of concentration history on slow sorption processes, desorption kinetic profiles for trichloroethene (TCE) were measured for a soil at 100% relative humidity subject to different exposure concentrations and exposure times. Exposure concentrations ranged from 1% to 80% of the saturation vapor pressure (Ps) for TCE, and exposure times (i.e., time allowed for sorption before desorption begins) ranged from 1 to 96 days. A spherical diffusion model based on a gamma distribution of sorption rates and a gamma distribution of desorption rates was developed and applied to the data. At 80% P/Ps, the entire gamma distributions of sorption and desorption rates were available for TCE. In accordance with a micropore filling mechanism, the fraction of these distributions available for TCE sorption decreased with decreasing P/Ps. Experimental results are consistent with a micropore-filling mechanism, where the amount of slow desorbing mass decreased with decreasing exposure time, and the fraction of slow desorbing sites filled decreased with decreasing exposure concentration. Simulation results suggest that diffusion limits the rates that micropores fill, and that rates of sorption and desorption for soil contaminated at smaller values of P/Ps are, on average, less than those at larger values of P/Ps (i.e., slow desorption rates are a function of exposure concentration). Simulation results also suggest that the model adequately describes the effects of exposure concentration and exposure time on the rates of sorption and desorption, but not on the capacity of the slow sites for TCE. This work is important because contaminant concentrations in the subsurface vary in space and time, and the proposed model represents a new and mechanistically based approach to capture the effects of this heterogeneity on slow desorption.     

水中臭氧分解动力学研究

在磷酸盐缓冲液中研究了臭氧的自分解,根据臭氧分解机理推导出其动力学方程。由不同温度和pH值下的实验结果确定出kT,0,n以及活化能E。      

Prediction of high-density polyethylene pyrolysis using kinetic parameters based on thermogravimetric and artificial neural networks

● Reducting the sampling frequency can enhance the modelling process. ● The pyrolysis of HDPE was investigated at three different heating rates. ● The average E_a and k₀ were calculated by Friedman, KAS, FWO, and CR methods. ● ANN was employed to predict the HDPE weight loss with the optimal MSE and R². Pyrolysis is considered an attractive option and a promising way to dispose waste plastics. The thermogravimetric experiments of high-density polyethylene (HDPE) were conducted from 105 °C to 900 °C at different heating rates (10 °C/min, 20 °C/min, and 30 °C/min) to investigate their thermal pyrolysis behavior. We investigated four methods including three model-free methods and one model-fitting method to estimate dynamic parameters. Additionally, an artificial neural network model was developed by providing the heating rates and temperatures to predict the weight loss (wt.%) of HDPE, and optimized via assessing mean squared error and determination coefficient on the test set. The optimal MSE (2.6297 × 10⁻²) and R² value (R² > 0.999) were obtained. Activation energy and pre-exponential factor obtained from four different models achieves the acceptable value between experimental and predicted results. The relative error of the model increased from 2.4 % to 6.8 % when the sampling frequency changed from 50 s to 60 s, but showed no significant difference when the sampling frequency was below 50 s. This result provides a promising approach to simplify the further modelling work and to reduce the required data storage space. This study revealed the possibility of simulating the HDPE pyrolysis process via machine learning with no significant accuracy loss of the kinetic parameters. It is hoped that this work could potentially benefit to the development of pyrolysis process modelling of HDPE and the other plastics.     

Ozone-enhanced catalytic oxidation of monochlorobenzene over iron oxide catalysts

In this study, we examined the experimental catalytic oxidation of gaseous monochlorobenzene (MCBz) with O₃ over Fe₂O₃ in a packed bed reactor to investigate the feasibility of economical low temperature decomposition at a high space velocity (SV). We investigated the effects of several reaction parameters (temperature, O₃ concentration, and SV) on the MCBz oxidation. At 150 °C, the conversion of MCBz over Fe₂O₃ in the absence of O₃ was only 3%; it increased to 91% over Fe₂O₃ in the presence of 1200 ppm of O₃ at a high SV of 83 s⁻¹. A long-term operation study revealed that the conversion of MCBz was stable for more than 96 h. In the steady state, the carbon and chlorine balances were 88% and 86%, respectively. Applying a Langmuir-Hinshelwood kinetic model, we estimated an activation energy of 16.7 kJ mol⁻¹ for MCBz oxidation over Fe₂O₃ in the presence of O₃.     

Influence of plants on the reduction of hexavalent chromium in wetland sediments

This work addresses the effect that plants (Typha latifolia and Carex lurida) have on the reduction of Cr(VI) in wetland sediments. Experiments were carried out using tubular microcosms, where chemical species were monitored along the longitudinal flow axis. Cr(VI) removal was enhanced by the presence of plants. This is explained by a decrease in the redox potential promoted by organic root exudates released by plants. Under these conditions sulfate reduction is enhanced, increasing the concentration of sulfide species in the sediment pore water, which reduce Cr(VI). Evapotranspiration induced by plants also contributed to enhance the reduction of Cr(VI) by concentrating all chemical species in the sediment pore water. Both exudates release and evapotranspiration have a diurnal component that affects Cr(VI) reduction. Concentration profiles were fitted to a kinetic model linking sulfide and Cr(VI) concentrations corrected for evapotranspiration. This expression captures both the longitudinal as well as the diurnal Cr(VI) concentration profiles.     

SO_2浓度对双通道自动荧光过氧化氢在线监测的影响研究

为验证大气中SO2的浓度对气态H2O2自动荧光法监测的影响,设置了SO2与H2O2在自动荧光过氧化氢分析仪中的反应实验;同时,利用SO2和H2O2的反应速率公式进行了模拟计算,模拟计算结果与仪器的监测结果基本相符.证明了在大气SO2浓度较高的情况下,气态SO2对H2O2的自动荧光法测定确实会有显著影响,通过模拟计算的方法可对在线监测的H2O2浓度数据进行校正.     

曝气生物滤池用于分散型污水处理及其动力学浅析

将曝气生物滤池用于分散型污水处理,分析了反应器在不同水力负荷条件下对污染物的去除效果,同时从动力学角度对反应器作了浅析,总结出一个动力学模型.实验证明,该模型对出水水质预测和水力负荷条件的确定具有一定的工程实践指导作用.     

锌在石灰性土壤中的吸附动力学初步研究

采用恒流淋洗法研究了外加锌在石灰性土壤中的吸附动力学特性.通过对石灰性土壤样品,人工模拟样品和纯CaCO_3物质吸附锌的动力学实验,结果衰明,石灰性土壤中的CaCO_3组分是外加锌的主要载体,且被CaCO_3组分所保持的锌不易被0.01mol/LCaCl_2溶液解吸下来。还拟用了几种动力学方程(一级动力学方程,Elovich方程和抛物线扩散方程)对本实验得到的动力学曲线进行描述和数据处理,结果表明石灰性土壤吸附锌的动力学特征主要由土壤中CaCO_3组分决定的。