新生态MnO2吸附剂对酸性媒介染料废水脱色特性研究

本文主要报道了一种用于染料废水处理的新型材料即新生态MnO2 及其对三种酸性媒介染料染色废水的脱色作用及影响脱色效果的主要因素。研究结果表明 ,新生态MnO2 对酸性媒介染料的吸附能力很强 ,当染料浓度为2 0 0mg/L、pH <2时 ,其对酸性媒介黑T、酸性媒介绿G和酸性媒介黄GG的脱色率分别达 98.2 %、94.5 %和 96 .4%。染料吸附效果受体系pH值、MnO2 投加量、吸附时间及温度等因素的影响 ,其中pH值是最主要的影响因素。新生态MnO2 对酸性媒介黄GG的吸附作用符合Langmuir吸附等温式     

前置反硝化生物滤池深度脱氮效能与影响因素

前置反硝化生物滤池具有良好的脱氮性能,被广泛用于污水的深度处理。采用该工艺对城市污水处理厂尾水进行深度处理,通过调节硝化液回流比（50%、100%、150%）和水力负荷（1.0、1.5和2.0 m3·（m2·h）-1）,考察前置反硝化生物滤池工艺对COD、TN、NH4+-N的去除效果。结果表明,当硝化液回流比为100%时,系统对污染物去除效果最好。在进水COD、TN、NH4+-N平均浓度为120、35和15 mg·L-1的水质条件下,出水COD、TN、NH4+-N平均浓度可降到7.62、5.02和0.60 mg·L-1,去除率分别为93.65%、85.65%和96.00%。在水力负荷为1.5 m3·（m2·h）-1条件下,系统对COD、TN和NH4+-N的平均去除率达到了83.00%、90.14%和95.73%,出水可以达到《城镇污水处理厂污染物排放标准》（GB 18918-2002）一级A标准。     

烟气脱硫过程锰催化氧化亚硫酸钙的研究

利用直径280 mm、高320 mm的间歇式搅拌槽,在MnSO4加入浓度为0～0.05 mol/L的情况下,对亚硫酸钙悬浮液进行了催化氧化实验研究.实验结果表明,锰离子的加入会改变亚硫酸钙的氧化机理及氧化过程,表现为终点氧化率和氧化速率的变化.当Mn2 浓度为0.05 mol/L时,亚硫酸钙的终点氧化率比未加入Mn2 时高30%;此外,与非催化反应过程相比,Mn2 的加入能使亚硫酸钙在一个更宽的浓度范围内(0.02～0.073 mol/L)和一个更宽的时间范围内(20～100 min)均保持较高的氧化速率水平.     

响应面分析法优化稀土废水MAP沉淀法脱氮

经过预处理后的稀土生产废水,其氨氮浓度大幅降低,但并未达到中华人民共和国《稀土工业污染物排放标准》（GB26451-2011）中氨氮浓度限值。实验通过响应面分析法中的Box-Behnken实验设计（BBD）,取pH、n（Mg）：n（N）、n（P）：n（N）3因素,采用Design-Expert 8.0.6,建立合适的剩余氨氮浓度及剩余总磷浓度模型,得到回归方程,并分析模型各项指标,各因素及其相互作用对剩余氨氮浓度及剩余总磷浓度的影响。利用预测模型预测最佳实验条件,在最佳实验条件下验证预测结果,并对沉淀物进行X射线衍射（XRD）分析。结果显示,二次响应模型适用于剩余氨氮浓度及剩余总磷浓度,2个模型均拥有较好的拟合程度、可信度及精密度,最优反应条件为：pH=9.88、n（Mg）：n（N）=1.50：1、n（P）：n（N）=1.38：1时,剩余氨氮浓度为46.58 mg/L,剩余总磷浓度为7.85 mg/L。在最优条件下所得到的沉淀物并非纯净的MgNH₄PO₄·6H₂O,还有Mg₃（PO₄）₂·22H₂O生成。     

Degradation of bisphenol A in aqueous solution by persulfate activated with ferrous ion

Degradation of bisphenol A (BPA) in aqueous solution was studied with high-efficiency sulfate radical (SO₄ ^?·), which was generated by the activation of persulfate (S₂O₈ ^2?) with ferrous ion (Fe²⁺). S₂O₈ ^2? was activated by Fe²⁺ to produce SO₄ ^?·, and iron powder (Fe⁰) was used as a slow-releasing source of dissolved Fe²⁺. The major oxidation products of BPA were determined by liquid chromatography-mass spectrometer. The mineralization efficiency of BPA was monitored by total organic carbon (TOC) analyzer. BPA removal efficiency was improved by the increase of initial S₂O₈ ^2? or Fe²⁺ concentrations and then decreased with excess Fe²⁺ concentration. The adding mode of Fe²⁺ had significant impact on BPA degradation and mineralization. BPA removal rates increased from 49 to 97 % with sequential addition of Fe²⁺, while complete degradation was observed with continuous diffusion of Fe²⁺, and the latter achieved higher TOC removal rate. When Fe⁰ was employed as a slow-releasing source of dissolved Fe²⁺, 100 % of BPA degradation efficiency was achieved, and the highest removal rate of TOC (85 %) was obtained within 2 h. In the Fe⁰–S₂O₈ ^2? system, Fe⁰ as the activator of S₂O₈ ^2? could offer sustainable oxidation for BPA, and higher TOC removal rate was achieved. It was proved that Fe⁰–S₂O₈ ^2? system has perspective for future works.     

不同因素对人工湿地基质脱氮除磷效果的影响

在人工配制的污水中投入一定量的基质,不同条件下振荡培养,评价沸石、炉渣和陶瓷滤料3种基质在不同因素影响下对氨氮(NH4+-N)和总磷(TP)的吸附能力。结果表明,不同吸附时间时,沸石对NH4+-N的吸附效果最好,陶瓷滤料对TP的吸附效果最好;进水浓度对沸石吸附NH4+-N的影响较大,其吸附量随进水浓度的增大而增大,进水浓度对炉渣和陶瓷滤料吸附NH4+-N及炉渣吸附TP影响不大;3种基质对NH4+-N和TP的吸附量均是随吸附剂量的增加而降低,要达到较好的去污效果,应根据实验结果考虑基质投入量;pH值对沸石吸附NH4+-N影响显著,pH值6～7范围内吸附效果最好,pH值8～12的碱性条件有利于基质对TP的吸附。     

城市固体废物好氧生物反应器填埋方式的实验研究

MSW（城市固体废物）生物反应器型填埋是一种较新颖的方法.在系统分析现有填埋方法优缺点的基础上,对其加以改进,将强制通风好氧和渗滤液循环2种方式有机地结合在一起,构建了MSW好氧生物反应器.考察了NH3、CH4、CO2、pH和温度等因素,并监测分析了渗滤液中的COD、BOD5、Zn^2＋、NH4^＋和NO3^-等指标,旨在研究其中垃圾的降解及渗滤液中COD、BOD5、Zn^2＋、NH4^＋和NO3^-的去除情况,探讨该生物反应器对垃圾和渗滤液相关参数的作用机理.结果表明,该反应器对渗滤液中COD、BOD5、NO3^-的去除率分别达到96.34%、94.58%和99.9%,对其中的Zn^2＋也有较好的脱除效果.     

等浓度配比法研究苯酚、硝基苯和问硝基苯胺对发光菌的联合毒性作用

分别测定了苯酚、硝基苯和间硝基苯胺对发光菌的单一毒性，以及等浓度配比和等毒性配比的二元及三元混合体系的联合毒性，采用相加指数法对其联合效应进行了评价。结果表明，等浓度比和等毒性比混合体系的联合作用结果一致：苯酚＋间硝基苯胺二元体系为协同作用，其他各体系为相加作用。为简化联合毒性实验方法，建议在研究相关系列化合物的联合毒性作用机制中，可采用等浓度配比方法。     

Investigation of a new approach to decompose two potent greenhouse gases: photoreduction of SF(6) and SF(5)CF(3) in the presence of acetone

In this paper, we addressed the utilization of photochemical method as an innovative technology for the destruction and removal of two potent greenhouse gases, SF(6) and SF(5)CF(3). The destruction and removal efficiency (DRE) of the process was determined as a function of excitation wavelength, irradiation time, initial ratio of acetone to SF(5)X (X represented F or CF(3)), initial SF(5)X concentration, additive oxygen and water vapor concentration. A complete removal was achieved by a radiation period of 55min and 120min for SF(6)-CH(3)COCH(3) system and SF(5)CF(3)-CH(3)COCH(3) system respectively under 184.9nm irradiation. Extra addition of water vapor can enhance DRE by approximately 6% points in both systems. Further studies with GC/MS and FT-IR proved that no hazardous products such as S(2)F(10), SO(2)F(2), SOF(2), SOF(4) were generated in this process.     

Distribution characteristics of nonylphenolic chemicals in Masan Bay environments, Korea

To understand the distribution characteristics of nonylphenolics and sterols, samples such as in creek water, sea surface water, waste water treatment plant (WWTP) effluent water, sediment and mussel were collected and analyzed. The principal analytes are nonylphenol (NP), nonylphenol monoethoxylate (NP1EO), nonylphenol diethoxylate (NP2EO), coprostanol (5beta) and cholestanol (5alpha). All these target pollutants showed 100% detection frequency in all of the samples analyzed. Total concentration of nonylphenolic compounds ranged from 334 to 3628ngl(-1) (average: 1331ngl(-1)) in creek water, from 15 to 36400ngl(-1) (average: 1013ngl(-1)) in sea surface water, from 131 to 2811ngg(-1) dry weight (average: 581ngg(-1) dry weight) in sediment and from 50.5 to 289ngg(-1) dry weight (average: 139ngg(-1) dry weight) in mussel. For water samples, levels of nonylphenolics determined in summer season were higher than those in spring season. Among them, nonylphenol and NP1EO was dominant in creek water and seawater, respectively. The highest concentration was recorded in sediment near a WWTP effluent outlet. And high levels of nonylphenolics and sterols were found in about 3km area surrounding WWTP effluent outlet. Coefficient of linear regression (R(2)) for NP in mussel and in sediment was 0.90. Similarly good correlation (R(2)=0.98) was obtained between concentration in water and in mussel indicating that a steady state has been reached in this bay. The calculated bio concentration factor (BCF=2990) for NP in Masan Bay agrees well with reported values in the literature.