废旧冰箱拆解聚氨酯泡沫塑料制备PU/PP复合材料

利用废旧冰箱拆解的聚氨酯泡沫塑料(PU)和聚丙烯(PP)、聚丙烯接枝马来酸酐(PP-g-MAH)为原料,采用物理化学回收技术制备PU/PP复合材料。用正交实验法分析PU填充量、PU粒径和PP-g-MAH 3个因素对PU/PP复合材料力学性能影响的显著性。结果表明,PU填充量对PU/PP复合材料拉伸性能有显著影响,对冲击性能和弯曲性能没有显著影响;在本文的实验范围内,PU粒径对PU/PP复合材料的力学性能影响不大;而PP-g-MAH投加量对PU/PP复合材料具有一定的影响。确定的优化工艺配方为:PU 40%;PU粒径选择2.00 mm;PP-g-MAH投加量10%。采用优化工艺制备的PU/PP复合材料的密度为1 042.88 kg/m3;冲击强度为2.9 kJ/m2;拉伸强度为10.30 MPa;拉伸模量为1 100 MPa;弯曲强度为18.5 MPa;弯曲模量为733 MPa。     

石墨气体扩散电极的制备与性能优化

电极的制备工艺及参数直接影响电极材料的活性。主要考察了C/PTFE质量比、碾压压力、煅烧温度、造孔剂NH4HCO3及稀土掺杂等因素对电极产出H2O2的影响规律。研究结果表明,电极最佳制备条件为:石墨和PTFE质量比为2∶1、石墨、造孔剂和稀土元素质量比为6∶1∶1、碾压压力10 MPa、煅烧温度330℃。在pH=3、电解质Na2SO4浓度为0.05mol/L条件下,电解2 h后,改性电极产生的H2O2从95 mg/L提高到350 mg/L,提高了268.4%。     

A/O工艺N_2O的产生与释放的影响因素

采用A/O工艺,在连续运行条件下,以DO、SRT和硝化液回流比(R)为影响因素,对A/O生物脱氮工艺处理模拟城市生活污水过程中N2O的释放进行了研究。实验结果表明,SRT对A/O工艺N2O释放的影响最大,其次是DO,R的影响最小。N2O转化率随着SRT的升高而降低,当SRT从10 d升高到20 d时,总N2O平均转化率从0.319%下降到0.002%。总N2O转化率随着好氧池DO的升高先降低后有所升高,当DO分别为0.6 mg O2/L、1.2 mg O2/L、2.5 mg O2/L时,反应器的总N2O平均转化率分别为0.306%、0.007%和0.013%。R对N2O释放的影响差异不明显,总N2O平均转化率在300%时最低,为0.007%。N2O释放量最低的工艺运行条件组合是SRT为20 d、DO为1.2 mg O2/L、R为300%。     

UV/Fenton技术处理某工厂高浓度乳化油废水

研究了UV/Fenton技术对高浓度金属清洗乳化油废水的处理效果,考察了亚铁与双氧水浓度、pH、反应时间和搅拌对COD去除效果的影响。实验结果表明,UV/Fenton技术对高浓度乳化油废水(COD平均浓度为35 000 mg/L)具有较高的去除效果,最佳工艺条件为:亚铁与双氧水浓度分别为2 400 mg/L和6 000 mg/L,pH为3,经过2 h反应,COD可降低至1 050 mg/L,去除率为97%。搅拌会降低COD的去除率。研究表明,UV/Fenton技术对高浓度乳化油废水具有很好的降解效果,且药品消耗较低,为目前此类高浓度有机废水的处理提供了技术参考。     

Fenton法处理垃圾渗滤液的参数优化及反应动力学模型

采用Fenton法处理垃圾渗滤液,研究反应时间、初始浓度、pH、Fenton试剂用量对垃圾渗滤液TOC去除率的影响。研究结果表明,最优反应条件是反应时间30 min,初始pH为3.0,初始[H2O2]0=7 310 mg/L,最佳[H2O2]/[Fe2+]摩尔比为5,反应温度为室温,此时渗滤液的TOC去除率达到70.3%。渗滤液矿化过程符合一级反应动力学,并建立了符合该渗滤液的反应动力学模型。     

介质阻挡放电协同Ag/Al_2O_3对NO_x脱除的影响

为有效去除发电厂烟气中产生的NOx,利用介质阻挡放电(DBD)产生低温等离子体并结合催化剂Ag/Al2O3进行烟气脱硝实验,研究了在加入乙烯的条件下,平均负载量、催化温度和装置的布置方式对NOx脱除的影响。结果表明,随着负载的增多,NO脱除率呈现先增大后减小的趋势,5种负载量中最佳为1.76%;随着催化温度的升高,NO脱除率同样呈现先增大后减小的趋势,最佳的催化温度为150℃左右;3种不同布置方式对NO和NOx脱除有明显差别,单独催化剂在NO和NOx的脱除率都比较低;单独介质阻挡放电NO脱除率很高,但是NOx很却很低;而两者结合在NO和NOx都达到了很好的效果。     

颜料红254-TiO_2光催化降解罗丹明B废水

以工业有机颜料C.I.颜料红254(DPP254)为敏化剂,通过溶剂热法对纯TiO2进行改性,得到复合光催化剂DPP254-TiO2。并通过XRD、SEM、UV-Vis DRS和N2吸附-脱附(BET和BJH)等测试手段对DPP254-TiO2进行了表征。以罗丹明B(RhB)为目标降解物,研究了DPP254-TiO2在可见光下对有机污染物的光催化降解性能。同时考察了DPP254含量、反应时间、RhB初始浓度和催化剂浓度等因素对RhB降解速率的影响。结果表明,改性后的催化剂光响应范围由紫外光区拓宽到可见光区。对其光催化反应机理进行了探讨。催化剂重复使用4次,活性没有明显降低,说明催化剂具有很好的稳定性。     

表面活性剂改性4A分子筛对Cr(VI)的吸附行为

采用浸渍法对4A分子筛进行表面改性,通过引入阳离子表面活性剂,使4A分子筛表面附着季铵型阳离子,并与反离子Br-形成"阴离子交换膜",从而促使更多的Cr(VI)阴离子通过离子交换吸附到改性4A分子筛上,通过X-射线衍射(XRD)和傅里叶变换红外光谱(FTIR)对样品的物相结构和组成进行表征分析。研究表明,表面活性剂的类型和疏水碳氢链结构会影响4A分子筛的吸附能力,十八烷基三甲基溴化铵(OTAB)碳氢链长,在分子筛表面形成的双分子层密,对Cr(VI)的吸附量最大。采用准一级、准二级、Elovich和Bangham动力学模型对六价铬的吸附数据进行拟合,其中准一级动力学方程最符合十八烷基三甲基溴化铵改性分子筛的吸附行为。同时,分别从Langmuir和Redlich-Peterson等温吸附模型获得六价铬的最大吸附量为13.98 mg/g,且改性分子筛以均一表面吸附为主。     

2,4-D Mineralization in soil profiles of a cultivated hummocky landscape in Manitoba,Canada

The objective of this study was to quantify 2,4-D (2,4-dichlorophenoxyacetic acid) mineralization in soil profiles characteristic of hummocky, calcareous-soil landscapes in western Canada. Twenty-five soil cores (8 cm inner diameter, 50 to 125 cm length) were collected along a 360 m transect running west to east in an agricultural field and then segmented by soil-landscape position (upper slopes, mid slopes, lower slopes and depressions) and soil horizon (A, B, and C horizons). In the A horizon, 2,4-D mineralization commenced instantaneously and the mineralization rate followed first-order kinetics. In both the B and C horizons, 2,4-D mineralization only commenced after a lag period of typically 5 to 7 days and the mineralization rate was biphasic. In the A horizon, 2,4-D mineralization parameters including the first-order mineralization rate constant (k ₁), the growth-linked mineralization rate constant (k ₂) and total 2,4-D mineralization at the end of the experiment at 56 days, were most strongly correlated to parameters describing 2,4-D sorption by soil, but were also adequately correlated to soil organic carbon content, soil pH, and carbonate content. In both B and C horizons, there was no significant correlation between 2,4-D mineralization and 2,4-D sorption parameters, and the correlation between soil properties and 2,4-D mineralization parameters was very poor. The k ₁ significantly decreased in sequence of A horizon (0.113% day^?1) > B horizon (0.024% day^?1) = C horizon (0.026% day^?1) and in each soil horizon was greater than k ₂. Total 2,4-D mineralization at 56 days also significantly decreased in sequence of A horizon (42%) > B horizon (31%) = C horizon (27%). In the A horizon, slope position had little influence on k ₁ or k ₂, except that k ₁ was significantly greater in upper slopes (0.170% day^?1) than in lower slopes (0.080% day^?1). Neither k ₁ nor k ₂ was significantly influenced by slope position in the B or C horizons. Total 2,4-D mineralization at 56 days was not influenced by slope positions in any horizon. Our results suggest that, when predicting 2,4-D transport at the field scale, pesticide fate models should consider the strong differences in 2,4-D mineralization between surface and subsurface horizons. This suggests that 2,4-D mineralization is best predicted using a model that has the ability to describe a range of non-linear mineralization curves. We also conclude that the horizontal variations in 2,4-D mineralization at the field scale will be difficult to consider in predictions of 2,4-D transport at the field scale because, within each horizon, 2,4-D mineralization was highly variable across the twenty-five soil cores, and this variability was poorly correlated to soil properties or soil-landscape position.     

Fate of azadirachtin A and related azadirachtoids on tomatoes after greenhouse treatment

The degradation of the main azadirachtoids on tomatoes was studied after greenhouse treatment. These experiments were carried out at 1 and 5× the concentration recommended by the manufacturer. In all experiments the deposition of azadirachtin A (AZA-A) was below the maximum residue level (MRL). Even if at the highest dose, AZA-A half-life time calculated as pseudo first order kinetic was 1.2 days in agreement with the recommended preharvest interval (PHI) of 3 days. Experiments with a model system showed that sunlight photodegradation is the main factor influencing the rate of disappearance of AZA-A after greenhouse treatment while tomato epicuticular waxes doubled the photodegradation rate of AZA-A in a commercial formulation.