介质阻挡放电和水吸收联合降解挥发性有机化合物

依据介质阻挡放电(DBD)和溶液吸收处理气态污染物的原理,设计出一种DBD和水吸收联合降解挥发性有机化合物(VOCs)的实验装置.研究其对甲苯的降解效果.考察了放电电压、甲苯初始浓度、模拟废气流量对甲苯降解效果的影响.分析了DBD和水吸收的相互作用.结果表明.DBD和水吸收联合可以提高甲苯的降解率.在放电电压为15.9 kV时甲苯的降解率为81.5%.比单独放电时提高了13.3百分点;甲苯的降解率随着放电电压增大而升高,随着气体流量和甲苯初始浓度增大而降低.该技术可以作为放电等离子体前处理工艺,为高效处理上业废气提供参考.     

介质阻挡放电氧化降解木质素磺酸钠的动力学研究

为了有效地处理难生物降解的造纸废水，采用气相介质阻挡放电产生氧化性物质，对木质素磺酸钠进行了氧化降解研究。在不同操作条件下，对其降解动力学及矿化程度进行了研究。结果表明，介质阻挡放电能有效地降解木质素磺酸钠，其氧化降解反应遵循准一级动力学反应。当峰值电压为20 kV，被水蒸气饱和的空气为气源，流量为7 L/min时，氧化处理60 min后，木质素磺酸钠降解率达到70％。其速率常数K随峰值电压、气源、气体流量和木质素磺酸钠的初始浓度的变化而不同。气体流量越大，木质素磺酸钠的初始浓度越低，速率常数K越大，降解效果越好。随着处理时间的增加，氧化性物质能将部分木质素磺酸钠矿化使溶液TOC降低，当被水蒸气饱和的空气作为气源时，氧化处理120min，21.38%的TOC被去除。     

一株假单胞菌降解石油污染物的降解动力学与降解机制

从某石油污染场地土壤中分离出一株石油降解菌B-1(Pseudomonas),研究了该菌株降解石油污染物的动力学,通过气相色谱(GC)/质谱(MS)分析了石油组分降解前后的变化规律,并对其降解机制进行了初探。结果表明:(1)苯、二甲苯、萘的降解动力学拟合方程大部分与一级降解动力学方程拟合效果良好,苯、二甲苯、萘的降解半衰期分别为0.47~1.67、1.54~3.60、4.41~7.00d;(2)可以通过全扫描图谱及检索出的代谢产物明确微生物降解苯、二甲苯、萘的降解途径。     

光催化降解模拟室内挥发性有机污染物研究

用浸渍-提拉法制备玻璃弹簧负载型TiO2薄膜催化剂,在自制的反应器中进行光催化降解由丙酮、甲苯、对二甲苯组成的模拟室内挥发性有机污染物VOCs研究.研究发现:催化剂中掺杂金属离子能影响催化剂的降解效果,降解效果依次为掺铈TiO2＞纯TiO2＞掺银TiO2;气体流量显著影响降解效果,丙酮、甲苯和对二甲苯的最佳降解流量分别为3、5、7 L/min;混合气体中非对称性的极性分子的降解效率高于对称性分子,导致丙酮、对二甲苯组分降解率降低,甲苯降解率增高.     

零价铁复合有机膨润土处理染料废水的研究

针对目前印染废水处理现状及膨润土在水处理中回收困难等问题，提出将零价铁复合到有机膨润土中制成零价铁复合有机膨润土(ZVI-OB)，以达到高效吸附并降解污染物的目的。以染料废水(Orange II) 作为研究对象，考察了废水中染料的初始浓度、pH以及吸附时间对ZVI-OB去除染料效率的影响，并研究了吸附后降解过程中时间和pH对污染物降解的影响以及降解前后膨润土层结构的变化。研究结果表明，ZVI-OB相对于CTMAB改性的有机膨润土而言，其吸附量有所降低，但ZVI-OB在吸附污染物之后能有效降解有机物。ZVI-OB在饱和吸附Orange II后经催化氧化，总有机碳含量降低为原来的19%，可以重复利用。     

TiO2纳米粒子光催化降解室内挥发性有机污染物苯的研究

利用溶胶凝胶法制备了纳米TiO2粒子。通过X射线粉末衍射分析，晶相为锐钛矿和金红石混晶，晶粒尺寸约为13nm。以苯为目标污染物，研究了不同的苯初始浓度、氧气、催化剂的用量以及光源强度和波长对光催化效率的影响。结果发现，氧气可以提高光催化降解苯的效率；无论在有氧条件还是无氧条件下，随着苯初始浓度的降低，光催化效率升高；光源的强度和波长对光催化效率具有影响；对于光催化降解0．70μg／cm^3苯而言，最佳的TiO2投入量为0.1g。     

排水管道内湍动能分布特性及影响因素

污水中的污染物在管道输送过程中由于管道壁生物膜的微生物作用而发生降解,生化反应过程取决于物质从水相到生物膜之间的传质过程,传质过程受管道中流态特别是湍流作用的影响较大。采用PIV技术和FLUENT软件模拟下水道流态,重点研究充满度为0.1、0.2、0.3、0.4、0.5和坡度为0.003、0.005、0.008、0.01、0.03时水相中湍动能和湍动耗散率的沿程变化。结果表明,在充满度一定时管壁处的湍动能及湍动耗散率最大,且其随着坡度的增大而逐渐增大;坡度一定时,充满度越大管壁处湍动能及湍动耗散率越大。     

介质阻挡放电等离子体降解高浓度甲苯

为解决喷漆和涂装废气中VOCs的污染,采用同轴圆管式介质阻挡反应器进行低温等离子体降解高浓度甲苯探索,研究了反应器参数(放电间距、放电长度)、操作参数(初始甲苯浓度、气体流量、输入功率)等关键参数对甲苯转化率和产物CO2选择性的影响。结果表明:放电间距过大或者过小都不利于甲苯的降解,放电长度的增加对其影响相对较小;输入功率越大,甲苯的降解效果越好,并且反应产物中臭氧的浓度越低,但气体流量及初始甲苯浓度的增加不利于甲苯的降解。最后对产物进行GC-MS检测,分析了甲苯降解机理。     

高锰酸钾降解地下水中PCE的研究

以氯代有机污染物中常见的PCE为目标污染物，以自制高锰酸钾溶液为氧化剂，采用批实验方法，探讨了高锰酸钾降解PCE的反应动力学、影响因素以及反应机理。反应结果表明，高锰酸钾降解PCE的反应符合一级动力学方程，反应活化能E为57.119 kJ/mol，在30℃条件下，反应速率常数为0.0076 min^-1，半衰期为91.20 min。在pH在3～10，离子强度在0～0.1030 mol/L之间变化时，反应速率不受明显影响。     

多孔板水力空化对降解化工废水的影响

水力空化是一种新型的高级水处理技术。利用自主设计研发的水力空化装置,采用三角形孔口多孔板作为水力空化反应器对化工废水进行处理。结果表明:(1)随着运行时间延长,COD降解率增大,当运行到一定时间后,COD降解率总体趋于稳定。(2)孔口数量相同,孔口越大则COD降解率越大。(3)孔口尺寸相同,孔口数量越多则COD降解率越大。(4)COD降解率受COD初始浓度的影响呈现先增后减的趋势,每块多孔板都存在一个最优COD降解率的最佳COD初始浓度。(5)酸性和碱性环境下均不利于水力空化作用对化工污染物的降解,中性环境下COD降解率最大。     

孤立与非孤立城市街道峡谷内污染物扩散

通过求解二维不可压N-S方程、k-ε方程及污染物对流扩散方程,模拟了孤立街道峡谷与非孤立街道峡谷内的流场及交通污染物浓度场.计算结果与风洞试验结果总体趋势一致.非孤立街道峡谷内污染物壁面浓度要大于孤立街道峡谷内的壁面浓度.通过计算街道峡谷建筑屋顶高度处的垂直方向污染物通量,说明了湍流扩散是污染物扩散出街道峡谷的主要原因,其污染物通量总为正,而平均流通量可以为负.非孤立街道峡谷由于平均流流动和湍流流动的总扩散通量减少,造成污染物在街道峡谷内集聚,从而理论上解释了非孤立街道峡谷与孤立街道峡谷污染扩散的差别.     

Flow and dispersion in an urban cubical cavity

Flow and dispersion in an urban cubical cavity are numerically investigated using a Reynolds-averaged Navier–Stokes equations (RANS) model with the renormalization group (RNG) k–? turbulence closure model. The urban cubical cavity is surrounded by flank walls that are parallel to the streamwise direction, called end-walls, as well as upstream and downstream walls. A primary vortex and secondary vortices including end-wall vortices are formed in the cavity. Because of the end-wall drag effect, the averaged mean-flow kinetic energy in the cavity is smaller than that in an urban street canyon that is open in the along-canyon direction. A trajectory analysis shows that the end-wall vortices cause fluid particles to move in the spanwise direction, indicating that flow in the cavity is essentially three-dimensional. The iso-surfaces of the Okubo–Weiss criterion capture cavity vortices well. The pollutant concentration is high near the bottom of the upstream side in the case of continuous pollutant emission, whereas it is high near the center of the primary vortex in the case of instantaneous pollutant emission. To get some insight into the degree of pollutant escape from the cavity according to various meteorological factors, extensive numerical experiments with different ambient wind speeds and directions, inflow turbulence intensities, and cavity-bottom heating intensities are performed. For each experiment, we calculate the time constant, which is defined as the time taken for the pollutant concentration to decrease to e^?1 of its initial value. The time constant decreases substantially with increasing ambient wind speed, and tends to decrease with increasing inflow turbulence intensity and cavity-bottom heating intensity. The time constant increases as the ambient wind direction becomes oblique. High ambient wind speed is found to be the most crucial factor for ventilating the cavity, thus improving air quality in an urban cubical cavity.     

Turbulent Diffusion Behind Vehicles: Effect of Traffic Speed on Pollutant Concentrations

Recent theoretical and experimental investigations Indicate that turbulent diffusion behind moving vehicles Is Influenced by the speed of the vehicle. Vertical wake induced turbulent diffusion, explicitly treated in the numerical ROADWAY model, is proportional to the square of the wind speed relative to the moving vehicle. Hence, the model predictions of turbulent mixing and pollutant concentrations on and downwind of a roadway are dependent upon the traffic speed. It Is expected from theoretical considerations that the effect of vehicle speed on pollutant concentrations will be more significant during stable atmospheric conditions, because in neutral and unstable conditions the vehicle-wake turbulence is quickly masked by the ambient turbulence. In this study, experimental data are utilized to evaluate the theoretical predictions of the effects of traffic speed on the ambient pollutant concentrations. The effects of vehicle speed upon ambient concentrations are investigated through wind tunnel experiments and field studies that used dual tracers. Consistent with predictions of the ROADWAY model, data obtained near the Long Island Expressway indicate that the influence of traffic speed on the ambient pollutant concentrations Is not significant during unstable and neutral conditions. The Long Island experiment did not provide sufficient field data to assess the model predictions of the traffic speed effect during stable atmospheric conditions.     

Sub-canopy deposition of ozone in a stand of cutleaf coneflower

Although there has been a great deal of research on ozone, interest in exposure of native, herbaceous species is relatively recent and it is still not clear what role the pollutant has in their ecological fitness. The ozone exposure of a plant is usually expressed in terms of the concentration above the canopy or as a time-weighted index. However, to understand the physiological effects of ozone it is necessary to quantify the ozone flux to individual leaves as they develop, which requires knowing the deposition velocity and concentration of the pollutant as a function of height throughout the plant canopy. We used a high-order closure model of sub-canopy turbulence to estimate ozone profiles in stands of cutleaf coneflower (Rudbeckia laciniata L.) located in the Great Smoky Mountains National Park, USA. The model was run for periods coinciding with a short field study, during which we measured vertical concentration profiles of ozone along with measurements of atmospheric turbulence and other meteorological and plant variables. Predictions of ozone profiles by the model are compared with observations throughout the canopy.     

A field study of factors influencing the concentrations of a traffic-related pollutant in the vicinity of a complex urban junction

The paper describes a field study focused on the dispersion of a traffic-related pollutant within an area close to a busy intersection between two street canyons in Central London. Simultaneous measurements of airflow, traffic flow and carbon monoxide concentrations ([CO]) are used to explore the causes of spatial variability in [CO] over a full range of background wind directions. Depending on the roof-top wind direction, evidence of both flow channelling and recirculation regimes were identified from data collected within the main canyon and the intersection. However, at the intersection, the merging of channelled flows from the canyons increased the flow complexity and turbulence intensity. These features, coupled with the close proximity of nearby queuing traffic in several directions, led to the highest overall time-average measured [CO] occurring at the intersection. Within the main street canyon, the data supported the presence of a helical flow regime for oblique roof-top flows, leading to increased [CO] on the canyon leeward side. Predominant wind directions led to some locations having significantly higher diurnal average [CO] due to being mostly on the canyon leeward side during the study period. For all locations, small changes in the background wind direction could cause large changes in the in-street mean wind angle and local turbulence intensity, implying that dispersion mechanisms would be highly sensitive to small changes in above roof flows. During peak traffic flow periods, concentrations within parallel side streets were approximately four times lower than within the main canyon and intersection which has implications for controlling personal exposure. Overall, the results illustrate that pollutant concentrations can be highly spatially variable over even short distances within complex urban geometries, and that synoptic wind patterns, traffic queue location and building topologies all play a role in determining where pollutant hot spots occur.     

Numerical modeling on air quality in an urban environment with changes of the aspect ratio and wind direction

Due to heavy traffic emissions within an urban environment, air quality during the last decade becomes worse year by year and hazard to public health. In the present work, numerical modeling of flow and dispersion of gaseous emissions from vehicle exhaust in a street canyon were investigated under changes of the aspect ratio and wind direction. The three-dimensional flow and dispersion of gaseous pollutants were modeled using a computational fluid dynamics (CFD) model which was numerically solved using Reynolds-averaged Navier–Stokes (RANS) equations. The diffusion flow field in the atmospheric boundary layer within the street canyon was studied for different aspect ratios (W/H?=?1/2, 3/4, and 1) and wind directions (θ?=?90°, 112.5°, 135°, and 157.5°). The numerical models were validated against wind tunnel results to optimize the turbulence model. The numerical results agreed well with the wind tunnel results. The simulation demonstrated that the minimum concentration at the human respiration height within the street canyon was on the windward side for aspect ratios W/H?=?1/2 and 1 and wind directions θ?=?112.5°, 135°, and 157.5°. The pollutant concentration level decreases as the wind direction and aspect ratio increase. The wind velocity and turbulence intensity increase as the aspect ratio and wind direction increase.     

Indoor pollutant mixing time in an isothermal closed room: an investigation using CFD

We report on computational fluid dynamics (CFD) predictions of mixing time of a pollutant in an unventilated, mechanically mixed, isothermal room. The study aims to determine: (1) the adequacy of the standard Reynolds Averaged Navier Stokes two-equation (k−) turbulence model for predicting the mixing time under these conditions and (2) the extent to which the mixing time depends on the room airflow, rather than the source location within the room. The CFD simulations modeled the 12 mixing time experiments performed by Drescher et al. (Indoor Air 5 (1995) 204) using a point pulse release in an isothermal, sealed room mechanically mixed with variable power blowers. Predictions of mixing time were found in good agreement with experimental measurements, over an order of magnitude variation in blower power. Additional CFD simulations were performed to investigate the relation between pollutant mixing time and source location. Seventeen source locations and five blower configurations were investigated. Results clearly show large dependence of the mixing time on the room airflow, with some dependence on source location. We further explore dependence of mixing time on the velocity and turbulence intensity at the source location. Implications for positioning air-toxic sensors in rooms are briefly discussed.     

内循环管式光催化反应器降解水中喹啉的动力学研究

采用内循环管式光催化反应器,考察不同的温度、有机物底物浓度、光照强度、曝气强度等因素对水中喹啉的降解效果影响,在此基础上进行降解动力学研究。实验结果表明:温度、喹啉初始浓度、光照强度、曝气强度等因素与喹啉的催化降解呈现良好的相关关系,喹啉的表观吸附平衡常数为0.0244 L/mg,溶解氧表观吸附平衡常数为2.11,反应活化能为16.734 kJ/mol,光照强度修正指数为0.525。     

Dependence of street canyon concentrations on above-roof wind speed - implications for numerical modelling

For microscale numerical modelling of street canyon air pollution, the traffic-related component of the total ambient pollutant concentration is often assumed to be inversely dependent on the wind-speed at rooftops for idealised conditions of neutral stratification, no solar radiation, and no traffic-induced turbulence. Detailed data analyses of two comprehensive datasets from Gottinger Strase (Hannover) and Jagtvej (Copenhagen), including concentration and wind-field measurements in the street and above the rooftops, are presented to test these idealised assumptions, and to improve numerical modelling for a wider range of conditions. The experimental results show systematic deviation from the idealised inverse wind-speed law, when rooftop wind-speeds were less than 10 m/s. It was found that turbulence associated with traffic is a parameter, which is increasingly important for lower wind-speeds.     

Monte Carlo simulation of nitrogen oxides dispersion from a vehicular exhaust plume and its sensitivity studies

The pollutant dispersion behavior from the vehicular exhaust plume has a direct impact on human health, particularly to the drivers, bicyclists, motorcyclists, pedestrians, people working nearby and vehicle passengers. A two-dimensional pollutant dispersion numerical model was developed based on the joint-scalar probability density function (PDF) approach coupled with a k–ε turbulence model to simulate the initial dispersion process of nitrogen oxides, temperature and flow velocity distributions from a vehicular exhaust plume. A Monte Carlo algorithm was used to solve the PDF transport equations in order to obtain the dispersion distribution of nitrogen oxides concentration. The model was then validated by a series of sensitivity experimental studies in order to assess the effects of vehicular exhaust tailpipe velocities, wind speeds and chemistry on the initial dispersion of NO and NO₂ mass concentrations from the vehicular exhaust plume. The results show that the mass concentrations of nitrogen oxides decrease along the centerline of the vehicular exhaust plume in the downstream distance. The dispersion process can be enhanced when the vehicular exhaust tailpipe velocity is much larger than the wind speed. The oxidation reaction of NO plays an important role when the wind speed is large and the vehicular exhaust exit velocity is small, which leads to chemical reduction of NO, and the formation and accumulation of NO₂ in the exhaust plume. It is also found that the effect of vehicular exhaust-induced turbulence in the vicinity of the exhaust tailpipe exit is more dominant than the effect of wind turbulence, while the wind turbulence gradually shows a significant role for the dispersion of nitrogen oxides along with the development of exhaust plume. The range of dispersion of nitrogen oxides in the radial direction is increased along with the development of vehicular exhaust plume.