缺氧/好氧电化学膜-生物反应器强化脱氮效果及抗污染性能研究

研究了外加电压下电化学A/O-MBR的污染物去除效果和抗污染性能,分析了抗污染性能提高的原因.结果显示,外加2V电压时系统对COD和总氮的平均去除率分别为89.4%、92.2%,不加电压时COD和总氮的去除率分别为87.6%、77.3%,表明外加电压能够显著提高A/O-MBR的脱氮处理效果;研究同时发现,外加2V电压时,导电膜的平均运行周期为38d,相比不加电压时（平均26d）,运行周期有所延长.污染物与导电膜之间的静电排斥作用和H₂O₂的原位清洗作用是系统抗污染性能提升的主要原因.     

Removal of elemental mercury by KI-impregnated clay

This study described the use of clay impregnated by KI in gas phase elemental mercury (Hg^o) removal in flue gas. The effects of KI loading, temperature, O₂, SO₂ and H₂O on Hg^o removal were investigated using a fixed bed reactor. The Hg^o removal efficiency of KI-clay with 3% KI loading could maintain at a high level (approximately 80 %) after 3 h. The KI-clay demonstrated to be a potential adsorbent for Hg^o removal when compared with activated carbon based adsorbent. O₂ was found to be an important factor in improving the Hg^o removal. O₂ was demonstrated to assist the transfer of KI to I₂ on the surface of KI-clay, which could react with Hg^o directly. NO and SO₂ could slightly improve Hg^o removal, while H₂O inhibited it greatly. The results indicated that after adsorption, most of the mercury escaped from the surface again. Some of the mercury may have been oxidized as it left the surface. The results demonstrated that the chemical reaction primarily occurred between KI and mercury on the surface of the KI-clay.     

Wastewater-nitrogen removal using polylactic acid/starch as carbon source: Optimization of operating parameters using response surface methodology

The use of PLA/starch blends for nitrogen removal was achieved. The influence of different operating parameters on responses was verified using RSM. The conditions for desired responses were successfully optimized simultaneously. Blends material may have a promising application prospect in the future. Nitrogen removal from ammonium-containing wastewater was conducted using polylactic acid (PLA)/starch blends as carbon source and carrier for functional bacteria. The exclusive and interactive influences of operating parameters (i.e., temperature, pH, stirring rate, and PLA-to-starch ratio (PLA proportion)) on nitrification (Y₁), denitrification (Y₂), and COD release rates (Y₃) were investigated through response surface methodology. Experimental results indicated that nitrogen removal could be successfully achieved in the PLA/starch blends through simultaneous nitrification and denitrification. The carbon release rate of the blends was controllable. The sensitivity of Y₁, Y₂, and Y₃ to different operating parameters also differed. The sequence for each response was as follows: for Y₁, pH>stirring rate>PLA proportion>temperature; for Y₂, pH>PLA proportion>temperature>stirring rate; and for Y₃, stirring rate>pH>PLA proportion>temperature. In this study, the following optimum conditions were observed: temperature, 32.0°C; pH 7.7; stirring rate, 200.0 r·min^-1; and PLA proportion, 0.4. Under these conditions, Y₁, Y₂, and Y₃ were 134.0 μg-N·g-blend^-1·h^-1, 160.9 μg-N·g-blend^-1·h^-1, and 7.6 × 10³ μg-O·g-blend^-1·h^-1, respectively. These results suggested that the PLA/starch blends may be an ideal packing material for nitrogen removal.     

Simulation of long-term nutrient removal in a full-scale closed-loop bioreactor for sewage treatment: an example of Bayesian inference

In this study, the performance of nitrogen and phosphorus removal in a full-scale closed-loop bioreactor (oxidation ditch) system was simulated using the ASM2d model. Routine data describing the process for two years were compiled for calibration and validation. To overcome the identifiability problem, the classic Bayesian inference approach was utilized for parameter estimation. The calibrated model could describe the long-term trend of nutrient removal and short-term variations of the process performance, showing that the Bayesian method was a reliable and useful tool for the parameter estimation of the activated sludge models. The anoxic phosphate uptake by polyphosphate accumulating organisms (PAO) contributed 71.2% of the total Poly-P storage, which reveals the dominance of denitrifying phosphorus removal process under the oxygen limiting conditions. It was found that 58.7% of the anoxic Poly-P storage and denitrification by PAO in the reactor was achieved in the aerated compartment, implying that the PAO’s anoxic activity was significantly stimulated by the low dissolved oxygen (DO) level in this compartment due to the oxygen gradient caused by brush aerator.     

不同有机物对厌氧氨氧化耦合反硝化的影响

通过连续试验和血清瓶批式试验研究了不同种类有机物对厌氧氨氧化耦合异养反硝化脱氮性能的影响.结果表明,从TN去除率来看,对耦合反应器的影响:苯甲酸钠<邻苯二酚<间苯二酚<丙酸钠<乙酸钠;苯甲酸钠、邻苯二酚、间苯二酚、丙酸钠和乙酸钠对厌氧氨氧化菌的影响很小.苯酚反硝化菌能利用苯甲酸钠、邻苯二酚、间苯二酚、丙酸钠和乙酸钠作为电子供体进行反硝化.不同有机物对苯酚反硝化菌的影响不同,进而影响苯酚反硝化菌与厌氧氨氧化菌之间的协同和竞争关系.苯甲酸是苯酚降解过程中可能的中间产物.     

低低温电除尘器灰硫比计算及中国煤种分析

低低温电除尘技术是电除尘新技术,不仅可以提高电除尘器的除尘效率,改善电除尘器对煤种的适应性,还可除去烟气中大部分的SO3,已经成为日本燃煤电厂烟气治理的主流。烟气的灰硫比(D/S)是低低温电除尘器选型设计中的一个重要参数,是电除尘器是否会受到低温腐蚀的评判标准。对烟气灰硫比的定义,计算公式的推导,中国几种代表性煤种的灰硫比,以及灰硫比与腐蚀和提效幅度的关系作了深入的分析。为我国低低温电除尘器的研究和应用推广提供参考。     

铁活化过二硫酸盐湿法氧化去除一甲胺恶臭气体

CH₃NH₂(一甲胺)作为一种重要的工业原料而被大量使用,其嗅阈值低,具有刺鼻的鱼臭味,是一种典型的恶臭气体. 选取PS(过二硫酸盐)作为氧化剂,采用湿法吸收氧化去除CH₃NH₂. 在探讨CH₃NH₂的吸收性能的基础上,比较了4种方式〔Fe2+活化PS、CA(柠檬酸)螯合Fe2+活化PS、Fe0活化PS、CA联合Fe0活化PS〕对CH₃NH₂湿法氧化去除效果的影响. 结果表明:CH₃NH₂ 气体在酸性条件下易溶于水;单独用Fe2+或Fe0活化PS处理CH₃NH₂时,Fe0活化后的去除效果明显优于Fe2+;然而,在联合使用螯合剂CA之后,Fe2+活化的去除效果反而优于Fe0. CA螯合Fe2+的CH₃NH₂去除率由单独Fe2+活化时的32%升至64%,Fe0活化与CA联合Fe0活化去除率均提升至40%. 究其原因,可能是由于不同活化方式下Fe2+释放速率不同所致,释放速率直接影响了Fe2+的存在时间,Fe2+活化PS速率对于氧化去除效果有影响,并最终影响CH₃NH₂的脱除.      

覆膜滤料特性实验研究

覆膜滤料是降低微细颗粒物排放,降低大气环境中PM2．5浓度源头的净化技术之一。对氟美斯（FMS ）针刺毡为基布覆膜滤料,进行了表面微观结构电镜扫描,同时,进行了这种滤料的阻力实验测试和分级效率测试。表面电镜扫描结果显示,覆膜呈微孔且直径为0．5μm左右的多层铰链结构。实验结果表明,覆膜滤料周期性清灰后阻力为1200 Pa ,万次老化实验后覆膜滤料阻力是1163．3 Pa;在过滤风速为1．4 m／min时,滤料对PM2．5的过滤效率高于99％。实验结果对使用覆膜滤料的布袋除尘器设计具有一定指导意义。     

Zn2+对SBR单级好氧模式生物除磷性能的影响

以合成废水为研究对象,以丙酸盐为单一外加碳源,通过比较进水中不同Zn2+浓度(0,1,5,10,20mg/L)下单级好氧模式下序批式反应器(SBR)的除磷效果,考察进水Zn2+浓度对单级好氧SBR生物除磷性能的影响,并通过分析各反应器中典型周期内磷及微生物体内储能物质的变化,探究Zn2+对单级好氧SBR生物除磷性能的影响机理.当进水Zn2+浓度为0和1mg/L时,除磷率分别高达96.84%和97.90%.当进水Zn2+浓度为5,10,20mg/L时,系统除磷率分别为89.32%,76.43%和57.29%,说明较高浓度Zn2+对单级好氧SBR生物除磷有抑制作用.结果表明,较高浓度Zn2+可抑制COD的降解,微生物体内聚羟基脂肪酸酯好氧合成及磷酸盐激酶活性,并促进GAOs的代谢,使聚磷合成和水解量减少,从而降低系统的除磷性能.     

碳磷比对SND过程污染物去除及N2O释放的影响

以两个平行运行的SBR反应器为研究对象,研究了碳磷比对同步硝化反硝化过程中污染物去除及温室气体N2O释放的影响.结果表明:系统对COD和氨氮的去除率均能达到90%以上,总磷和总氮去除率随碳磷比的降低而提高,这是由于低碳磷比下聚磷菌得到富集,同时部分聚磷菌利用NO3-和NO2-为电子受体吸收磷,从而实现脱氮除磷的同步提高.系统的N2O释放量随碳磷比的降低而降低,低碳磷比下N2O释放量仅为高碳磷比的76%.低碳磷比下N2O释放量的减少主要是由于异养反硝化过程对N2O释放的贡献降低导致的.