铅锌冶炼行业循环经济产业链构建

运用循环经济理论,以某铅锌冶炼企业为例,在分析企业能流、物流的基础上,研究了企业的循环经济发展潜力,提出了铅锌冶炼行业"冶炼-制酸-发电-贵金属回收"的循环经济发展产业链模式.研究结果表明,通过构建铅锌冶炼企业循环经济产业链,可以提高企业的资源利用效率,降低能耗和生产成本,减少污染物的排放,获得显著的经济效益和环境效益.     

Experimental investigation of vegetative environment buffers in reducing particulate matters emitted from ventilated poultry house

Scientists have effectively proved that vegetative environment buffers (VEBs) can be used for reducing dust emissions from livestock buildings, but they have seen fewer tests in poultry farms. A field research was conducted to assess the effectiveness of VEBs on reducing downwind transport of particulate matter (PM) from a ventilated poultry house in Changchun. Five plant species transferred from local area were used to establish five diverse VEBs and separately installed outside of the ventilation fans in summer 2017. The five plant species were Winged Euonymus (WE), Malus Spectabilis (MS), Padus Maackii (PAA), Acer Saccharum Marsh (ASM), and Padus Virginiana “Red Select Shrub” (PV_RSS). The mass concentrations of PM_2.5 and PM₁₀ (particulate matter with an aerodynamic diameter of 2.5 μm and 10 μm or less, respectively) were monitored at downwind and upwind sampling locations around the VEB. The results showed that with the presenting of VEBs, the particle concentrations at the downwind sampling point were significantly reduced compared with that at the upwind sampling point (p < 0.05). Specifically, compared to the control test without VEB, the VEB with PV_RSS had the best PM concentration reduction rate (CRR) of 47.24%±4.33% and 41.13%±5.83% for PM_2.5 and PM₁₀, respectively. The rough surface of plant leaves may help intercept more PM, though it was also affected by other factors (such as the blade angle, the interaction with wind) needed to be further investigated. The VEB with PV_RSS, which presented the best capacity of CRR, selectively intercepted PM, mainly related to the elements of N, Na, Mg, P, S, and Cl.

Implications: Five plant species, including WE, PAA, MS, ASM, and PV_RSS, were evaluated as VEBs to mitigate particulate emissions from outside of a ventilated poultry house in Changchun. They all significantly reduced particulate matter emissions. However, the PV_RSS presented the best capability of trapping fine and coarse particles: PM_2.5 and PM₁₀, respectively, while the PAA was the worst one. The microstructure of leaves affected particle deposition and remaining on the leaves, and PV_RSS selectively intercepted particulate matter mainly related to certain elements.     

焦化厂生化出水电解脱色工艺及其机理的初步研究

针对焦化废水经萃取（蒸氨）脱酚和生化处理后的出水水质的特点，研究用铝板作为电极电解该废水的脱色效果，研究了废水pH、电解槽电压、时间等因素对其色度去除率的影响。结果表明，最佳工艺参数为：pH=4、电解槽电压=10V、时间=30min，此时色度去除率可达93．6％，COD的去除率也可以达到61．78％。采用GC—MS分析了电解前后废水中的有机物成分，探讨了形成高色度水质的原因、有机物的去除及脱色机理。     

多相催化-臭氧氧化法处理模拟有机磷农药废水

实验通过臭氧氧化法来降解模拟废水中的有机磷农药，将其转化为无害物质，并试验研究了在废水中加入2种自制的催化剂对降解结果的影响。采用气相色谱法测定水中有机磷农药的量。结果表明，只用臭氧处理的情况下1周后有机磷的去除率为78．03％；在催化剂A存在下，去除率可达93．85％；在催化剂B存在下，去除率可达为88．35％。结果表明，臭氧氧化法对此类污水：具有较好的降解作用，尤其在有催化剂存在的情况下处理效果更好，在室温和中性介质中均属于一级反应。     

磷酸钕共沉淀选择性分离富集-原子吸收测定环境水样中痕量铅

研究提出了用磷酸钕(NdPO4)作为共沉淀捕集剂分离富集环境水样中的痕量Pb2 ,用火焰原子吸收光谱(FAAS)测定的方法.共沉淀受pH、NdCl3和H3PO4溶液用量的影响.结果显示,在溶液pH为3.2时,20 mL水样中加入5 mg/L NdCl3 2 mL、0.5 mol/L H3PO4 3 mL条件下,铅的加标回收率为96.6%～104.2%,方法的检测限为5.7×10-3 mg/L,水体中常见碱金属、碱土金属离子及阴离子在一定范围内不影响测定.     

钢渣脱除烧结烟气中二氧化硫的实验研究

通过对钢渣的分析,确定了其作为脱硫剂的可能性.从钢渣在不同操作条件下脱硫的实验研究看,钢渣能有效地脱除烟气中的SO2,在湿润状态、低流速条件下,微细钢渣的脱硫能力较强,钢渣作为脱硫剂使用将具有良好的经济效益和环境效益.     

MnO2负载树脂的制备及对As(Ⅴ)的去除效果

制备了大孔和DH302 2种MnO2的负载树脂.并用SEM、EDS手段表征了负载树脂,实验了负载MnO2后树脂对As(Ⅴ)的去除效果.结果表明:负载树脂对As(Ⅴ)的去除效果比原树脂有很大提高;吸附As(Ⅴ)后的2种负载树脂,均能较好地解吸并可重新用于对As(Ⅴ)的吸附实验.     

几种新式太阳能光催化反应器的探讨

本文综述了几种新式的太阳能光催化反应器 ,对其结构和处理效果进行了比较 ,并对该法处理水的经济性进行简单的概述 ,指出光催化法是一种可以充分利用太阳能、具有很大发展潜力的水处理方法     

Arsenic species and leachability in the fronds of the hyperaccumulator Chinese brake (Pteris vittata L.)

Arsenic speciation is important not only for understanding the mechanisms of arsenic accumulation and detoxification by hyperaccumulators, but also for designing disposal options of arsenic-rich biomass. The primary objective of this research was to understand the speciation and leachability of arsenic in the fronds of Chinese brake (Pteris vittata L.), an arsenic hyperaccumulator, with an emphasis on the implications for arsenic-rich biomass disposal. Chinese brake was grown for 18 weeks in a soil spiked with 50 mg As kg(-1) as arsenate (AsO4(3-)), arsenite (AsO3(3-)), dimethylarsinic acid (DMA), or methylarsonic acid (MMA). Plant samples were extracted with methanol/water (1:1) and arsenic speciation was performed using high performance liquid chromatography coupled with atomic fluorescence spectrometry. The impacts of air-drying on arsenic species and leachability in the fronds were examined in the laboratory. After 18 weeks, water-soluble arsenic in soil was mainly present as arsenate with little detectable organic species or arsenite regardless of arsenic species added to the soil. However, arsenic in the fronds was primarily present as inorganic arsenite with an average of 94%. Arsenite re-oxidation occurred in the old fronds and the excised dried tissues. Arsenic species in the fronds were slightly influenced by arsenic forms added to the soil. Air-drying of the fronds resulted in leaching of substantial amounts of arsenic. These findings can be of significance when looking at disposal options of arsenic-rich biomass from the point of view of secondary contamination.     

Using stochastic risk assessment in setting information priorities for managing dioxin impact from a municipal waste incinerator

The objectives of this study were to assess site-specific carcinogenic risk of incinerator-emitted dioxins in a manner reflecting pollutant transfer across multimedia and multi-pathways. The study used site-specific environmental and exposure information and combined the Monte Carlo method with multimedia modeling to produce probability distributions of risk estimates. The risk estimates were further categorized by contaminated environmental media and exposure pathways that are experienced by human receptors in order to pinpoint significant sources of risk. Rank correlation coefficients were also calculated along with the Monte Carlo sampling to identify key factors that influenced estimation of risk. The results showed that ingestion accounted for more than 90% of the total risk and that risk control on ingestion of eggs, aboveground vegetables, and poultry should receive priority. It was also found that variation of parameters with variability accounted for around 35% of the total risk variance, while uncertainty contributed to the remaining 65%. Intake rates of aboveground vegetables, eggs, and poultry were the key parameters with the largest contribution to variance. In addition, sufficient sampling and analysis of dioxin contents in eggs, aboveground vegetables, poultry, soil, and fruit should be performed to improve risk estimation because the variation in concentrations in these media accounted for the largest overall risk variance. Finally, focus should be placed on reduction of uncertainty associated with the risk estimation through ingestion of aboveground vegetables, eggs, poultry, fruit, and soil because the risk estimates associated with these exposure pathways had the largest variance.