工程规模长填龄渗滤液膜生物-纳滤组合设施各单元污染物去除效能

填埋场渗滤液性质复杂,普遍采用生物处理与深度处理多单元串联工艺;但是,因缺乏对工程运行规模中各单元污染物处理贡献的评估数据,使优化单元组合方式缺少理论依据.因此,本文采用常规和荧光光谱指标结合的方法,对以采用"膜生物反应器（membrane biological reactor,MBR）+纳滤（nanofiltration,NF）"工艺、处理能力800 m³·d^-1的工程设施为对象,分析该组合工艺各单元对长填龄渗滤液处理贡献;同时,利用三维荧光-平行因子分析方法（excitation emission matrix fluorescence spectroscopy-parallel factor,EEM-PARAFAC）评估渗滤液中溶解性有机物（dissolved organic matters,DOM）性质的变化.结果表明,生物处理阶段对溶解性氮（dissolved nitrogen,DN）去除贡献率为74.7%,其中一级反硝化单元对DN去除贡献率为54.6%,外置式超滤单元对溶解性化学需氧量（dissolved chemical oxygen demand,sCOD）和溶解性碳（dissolved oganic carbon,DOC）降低贡献率分别为92.2%和93.3%,纳滤单元可有效去除重金属和盐分,但能力有限.通过追踪长填龄渗滤液DOM变化发现,一级反硝化单元可去除长填龄渗滤液中75.4%的类蛋白物质,超滤单元主要截留亲水性较高的DOM,而高芳香性的腐殖质主要通过纳滤截留,腐殖化程度越高截留效果越好.研究结果提示,处理长填龄渗滤液时,MBR工艺生物处理单元可适当简化,超滤单元则应预防堵塞.     

亚硝酸型反硝化除磷工艺特性及其应用

以亚硝酸盐作为电子受体进行反硝化除磷污泥的驯化,并探究了工艺运行条件、性能及实际应用情况.研究表明:厌氧-缺氧-好氧驯化方式可快速富集以亚硝酸盐为电子受体的反硝化聚磷菌,通过逐步提高底物浓度可以驯化富集耐受高NO₂^--N浓度的DNPAOs.实际废水运行实验表明,反硝化除磷法处理猪场废水UASB-SFSBR尾水是可行的,当缺氧进水NO₃^--N、NO₂^--N和PO₄^3--P浓度分别为5,70,30mg/L时,出水NO₃^--N和NO₂^--N浓度基本为0,PO₄^3--P浓度在1.0mg/L以下.     

盐度对厌氧氨氧化工艺处理含海水污水脱氮特性的影响

采用ASBR厌氧氨氧化反应器,通过逐步提高所含海水比例,研究了厌氧氨氧化工艺处理含海水污水的脱氮特性.结果表明:经过一定时间的驯化后,厌氧氨氧化菌可以在各个海水比例下保持活性并维持较高的脱氮性能.当海水比例不高于40%时,反应器的稳定性和脱氮效能几乎不受盐度提升的影响,同时厌氧氨氧化菌的活性还会得到增强,比厌氧氨氧化活性(SAA)最高时的海水比例为30%,是10%海水比例时的121.3%;当海水比例高于40%时,反应器的脱氮效能开始下降,但经过一段时间的驯化后会得到恢复,在此期间反应器对海水盐度的响应可分为敏感期、过渡稳定期和恢复期3个阶段.在100%海水比例下,反应器的NRR可达0.341kgN/(m³·d),为10%海水比例时的73.7%,且其还有进一步提升的趋势.     

硫铁填料和微电流强化再生水脱氮除磷的研究

为提高再生水质量,在不同C/N和HRT条件下,对比分析硫铁复合填料和微电流作用强化再生水深度脱氮除磷效果.结果表明,硫铁复合填料和微电流作用均能够强化氮、磷的深度去除效果,且二者结合能够使反硝化系统pH值稳定在7.2~8.5之间.系统中TN主要靠异养反硝化、氢自养反硝化和硫自养反硝化作用去除,94.04%的TP是以生成磷酸铁沉淀的形式去除.分别从填料上取生物膜,进行Miseq高通量测序,构建细菌16S rRNA基因克隆文库.结果发现,在仅有海绵铁作用系统中,同时具有异养反硝化和氢自养反硝化功能的细菌所占比例达到29.47%;硫铁复合填料和硫铁微电流作用系统中,具有硫自养反硝化功能的Thiobacillus(硫杆菌属)所占比例分别达到60.47%和40.62%.因此,硫铁复合填料和微电流作用用于强化再生水深度脱氮除磷具有明显的优势.     

常规净水工艺对猛水蚤的去除机理及效果

为实现对桡足类生物泄露风险的高效控制,以猛水蚤为研究对象,开展了常规净水工艺对桡足类生物的去除作用机理及效果研究,重点研究了猛水蚤去除与絮体颗粒形态特性关系和在石英砂滤床的分布规律.结果表明:优化操作条件下,混凝沉淀和过滤对猛水蚤去除率均可达99%,最佳工况包括快速搅拌300 r/min(1min)、中速搅拌150 r/min(5min)和低速搅拌75 r/min(5min),聚合氯化铝(PAC)投加量10 mg/L,沉淀时间0.5h,滤速9m/h,过滤周期1d.混凝对猛水蚤的去除效率主要决定于猛水蚤与絮体的有效吸附,絮体颗粒粒径越大、分形维数越低,猛水蚤去除率越高;过滤水冲刷携带引起的被动迁移,是导致猛水蚤穿透砂滤池的主要原因,适当降低滤速和缩短过滤周期,控制猛水蚤被动迁移规模,可以达到提高猛水蚤去除率效果.     

基于Miseq的好氧反硝化菌源水脱氮的种群演变

为了研究好氧反硝化菌源水脱氮过程中水体微生物群落的演变,利用Miseq高通量测序法对投菌和对照两系统水体样本的微生物信息进行统计,并对两组样品进行了优化序列统计,OTU分布统计和分类学分析的基础分析;以及细菌群落结构,PCA,Rank-Abundance,Hcluster,Specaccum和OTU分布的高级分析.结果显示,投加贫营养好氧反硝化菌的源水系统的氮素得到有效去除,脱氮效果明显;层次聚类和主成分分析显示两系统内的群落结构发生变化,投菌系统与对照系统主要表现为变形菌和拟杆菌门;细菌主要门类和水质参数的相关性分析得出,水质指标对两系统群落变化作用明显;与此同时,投菌系统中有关氮循环的细菌有上升的变化过程. Miseq高通量测序研究源水脱氮过程的微生物种群演变可行,为研究原位生物脱氮过程的水体微生物群落演变提供技术支撑.     

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.