Investigation of the accumulation of ash,heavy metals,and polycyclic aromatic hydrocarbons to assess the stability of lysis–cryptic growth sludge reduction in sequencing batch reactor

The accumulation of ash, heavy metals, and polycyclic aromatic hydrocarbons (collectively called potential accumulating substances, PAS) was evaluated to ascertain the stability of lysis–cryptic growth sludge reduction process (LSRP) for municipal sludge treatment. One sequencing batch reactor (SBR) incorporated with homogenization was run to test the LSRP and another SBR as a control. The continuous monitoring results for 2 months showed that the ash and heavy metals slightly increased, and the polycyclic aromatic hydrocarbons decreased by 18.0%, indicating that there may be negligible accumulations during the LSRP. Their accumulations met pattern I, as demonstrated by statistical analysis, proving no PAS accumulation for LSRP. This was further confirmed by sludge activity and system performance. Moreover, the mechanism for no PAS accumulation was discussed. It was concluded that the LSRP was stable with no worries about PAS accumulation under the operational conditions.     

US-UV-Fenton降解硝基苯

采用超声波(US)、紫外光(UV)和Fenton联合降解硝基苯,初步探讨了其作用规律。研究结果表明,UV可以促进双氧水转化自由基的效率,而US同时具有强化传质作用和超声氧化作用,两者均能够强化Fenton氧化硝基苯的降解过程。正交实验结果表明,H2O2初始浓度是硝基苯降解和矿化的最显著影响因素,反应时间和超声功率是矿化的显著影响因素。最佳反应条件为:H2O2500 mg/L、Fe2+10 mg/L、反应时间60 min、超声波功率100 W,此时,硝基苯完全降解,TOC去除率达到73.0%。Fenton、UV/Fenton和US/UV/Fenton降解硝基苯过程均符合伪一级反应动力学模式,反应速率常数分别为3.37×10-2、3.81×10-2和5.10×10-2min-1。     

肖四海不同渔业发展阶段的水环境特征分析

2006～2008年，对长江中游的一个浅水湖泊--肖四海进行了水质和水生植被研究，并结合历史资料分析了肖四海1987～2008年不同渔业发展阶段的水环境特征。研究结果表明：1987～2008年期间，该湖营养状况经历了中营养→富营养→中营养→富营养→中营养的变化过程，沉水植被经历了消亡→恢复→旺盛→衰退的演替过程，这种变化主要受不同阶段的渔业方式的影响。草食性鱼类和河蟹的过量放养、化肥的大量使用以及饵料的大量投放等不合理的渔业方式导致了水生植被的消亡和水体的富营养化，而合理的渔业方式不会对水体环境产生消极影响，并据此提出了长江中下游湖泊渔业可持续发展的建议     

基于GIS的太湖流域主要生态风险源危险度综合评价研究

以太湖流域主要生态风险源为评价对象，充分考虑多类型多等级风险源作用强度的差异性，构建了风险源危险度评价模型，并在此基础上依据风险源发生机率、强度及作用范围等建立了太湖流域洪涝、干旱、极端气象、土壤侵蚀及污染排放等主要生态风险源的危险度评价指标体系。在ArcGIS技术支持下，创建了太湖流域1 606个网格和24个县市的风险源危险度统计数据库，采用AHP权重法确定指标权重，运用叠加分析、空间分析等技术方法最终实现太湖流域单要素及综合生态风险源危险度的定量评价。结果表明流域内生态风险源的分布存在明显的空间分异规律。其中，高生态风险源危险区集中分布在环太湖北部一带，面积约占流域面积的1172%；较高危险区主要呈“西北 北 东北 东”半环状分布格局，所占面积约2452%，危险度较低的区域集中在流域西南部的苕溪流域一带，面积占1566%。此外，不同区域主导生态风险源组成亦不同，约599%的区域是以污染排放为主导生态风险源，主要分布在镇江 宜兴 长兴 安吉一线以东的地区；2545%的区域主导生态风险源为干旱，主要集中在镇江 宜兴 长兴 安吉一线以西；1244%的区域是以洪涝灾害为主导风险源，集中分布在湖州、宜兴等地；而以水土流失、极端气象灾害作为主导风险源地区相对较为分散，所占比例较小     

春季香溪河库湾CODMn时空分布及其影响因子初探

于2012年春季在香溪河库湾合理布置断面观测，分析水体高锰酸盐指数(CODMn)的时空分布特征，并对CODMn与水体中叶绿素a、溶解氧(DO)、水体垂向稳定系数、总氮(TN)和溶解性硅酸盐(D Si)进行相关分析，以期为香溪河流域有机污染的治理提供支持和指导。结果表明：春季香溪河库湾CODMn浓度变化范围为1.40～5.36 mg/L，4月CODMn均值明显高于3月和5月，为366 mg/L，整个春季CODMn浓度从下游至上游呈现明显增大的趋势。相关分析发现，春季水华暴发期间，CODMn与叶绿素a显著正相关(分别为072和074)，而在未暴发水华的3月二者的相关性不显著。浮游植物和水体稳定系数是影响CODMn变化的主要因素。倒灌异重流使得高含氮、低CODMn浓度的长江干流水体进入库湾下游并稀释CODMn浓度。CODMn与DO在3月和5月的弱相关关系为香溪河CODMn特殊的分布特征提供了其它合理的解释,其分布特征受多种因素的共同影响。春季库湾上游有机污染趋于恶化，限制支流特别是上游污染物的排放是改善有机污染现状的有效途径     

利用重组大肠杆菌SOS法评价污水厂出水的遗传毒性以及工艺去除效果

SOS/umu测试法被广泛应用于化合物和复杂混合物遗传毒性的评价,由于该技术所用菌种为致病菌且操作步骤繁琐等原因,制约了技术的推广应用。研究建立了基于重组大肠杆菌SOS效应的水质遗传毒性检测方法(专利号:ZL201110022476.1),应用该方法评价了某市4座污水厂出水的直接遗传毒性效应,同时以污水处理一厂为例考察了直接遗传毒性效应的季节变化规律以及不同的工艺对水中直接遗传毒性物质的去除情况。结果显示:各污水厂出水均表现出一定的直接遗传毒性,对应的4-NQO毒性当量浓度范围为0.018~0.514 mg·L-1;一年四季中夏季进出水直接遗传毒性效应最高,现有工艺中生化处理工艺段对直接遗传毒性去除效果最佳,去除率为33.33%。该方法操作便利、检测敏感性较高、操作危险性较低,可用于水中直接遗传毒性效应的测试。     

基于改性凹凸棒土的强化混凝处理高藻低浊原水工艺

针对水厂低浊高藻水的处理难题,研究了改性凹凸棒土(改性凹土)联合聚合氯化铝(PAC)强化混凝的除藻除浊效果。设计实验原水条件为叶绿素a(chl-a)浓度为98.58~110.35μg/L,浊度(5.6±0.5)NTU。考察了PAC和改性凹土的复配投加量、混凝沉淀时间、pH、投加顺序、搅拌速率等工艺参数对Chl-a和浊度耦合去除效果的影响。结果表明,"PAC+改性凹土"对Chl-a和浊度的去除效果明显优于单投PAC的效果。当PAC投药量12 mg/L,改性凹土投药量10 mg/L,沉淀时间20 min时,对Chl-a和浊度的去除率可分别达到92.5%和89.2%,可至少减少40%的PAC投量,且形成的矾花密实,沉降速度快,去除效率高。最适pH范围为7~8。投加顺序应为先投加改性凹土,混合搅拌转数宜慢速,可控制为50 r/min。     

Biodegradation of methyl red by Bacillus sp. strain UN2: decolorization capacity,metabolites characterization,and enzyme analysis

Azo dyes are recalcitrant and refractory pollutants that constitute a significant menace to the environment. The present study is focused on exploring the capability of Bacillus sp. strain UN2 for application in methyl red (MR) degradation. Effects of physicochemical parameters (pH of medium, temperature, initial concentration of dye, and composition of the medium) were studied in detail. The suitable pH and temperature range for MR degradation by strain UN2 were respectively 7.0–9.0 and 30–40 °C, and the optimal pH value and temperature were respectively 8.0 and 35 °C. Mg²⁺ and Mn²⁺ (1 mM) were found to significantly accelerate the MR removal rate, while the enhancement by either Fe³⁺ or Fe²⁺ was slight. Under the optimal degradation conditions, strain UN2 exhibited greater than 98 % degradation of the toxic azo dye MR (100 ppm) within 30 min. Analysis of samples from decolorized culture flasks confirmed biodegradation of MR into two prime metabolites: N,N′dimethyl-p-phenyle-nediamine and 2-aminobenzoic acid. A study of the enzymes responsible for the biodegradation of MR, in the control and cells obtained during (10 min) and after (30 min) degradation, showed a significant increase in the activities of azoreductase, laccase, and NADH-DCIP reductase. Furthermore, a phytotoxicity analysis demonstrated that the germination inhibition was almost eliminated for both the plants Triticum aestivum and Sorghum bicolor by MR metabolites at 100 mg/L concentration, yet the germination inhibition of parent dye was significant. Consequently, the high efficiency of MR degradation enables this strain to be a potential candidate for bioremediation of wastewater containing MR.     

Influence of filtration velocity on DON variation in BAF for micropolluted surface water treatment

Biological aerated filters (BAFs) are widely used for the treatment of micropolluted surface water. However, the biological process produces dissolved organic nitrogen (DON), which, as precursors of nitrogenous disinfection by-products, pose potential threats to drinking water safety. Therefore, to control DON in BAF effluent, it is necessary to study the influence of BAF operation parameters on DON production. In this study, the influence of filtration velocity in a BAF on DON production was investigated. Under different filtration velocity (0.5, 2, and 4 m/h) conditions, profiles of DON concentrations along the media layer were measured. The profile at a filtration velocity of 0.5 m/h showed a decreasing trend, and the ones under filtration velocities of 2 and 4 m/h fluctuated in a small range (from 0.1 to 0.4 mg/L). Moreover, the relatively high filtration velocities of 2 and 4 m/h resulted in a lower level of DON concentration. Additionally, 3D excitation-emission matrix fluorescence spectroscopy was used to characterize DON. It is found that the patterns of DON at a relatively high filtration velocity condition (4 m/h) were obviously different from the ones under low filtration velocity conditions (0.5 and 2 m/h).     

Improve Compliance with Limited Resources by a Three-Group Inspection Regime

Frequent monitoring and relatively high fines are usually necessary to bring about improvements in environmental quality, but more challenging for many countries with limited human, material, and financial resources is to put them into practice. This paper developed a three-group model of a state-dependent enforcement in a repeated game to improve the policy implementation under limited inspection capacities. A certain number of firms are grouped (group 1, group 2, group 3) for different supervision intensity (e.g., the order of inspection probability corresponding to each group is p ₁?<?p ₂?<?p ₃) based on their environmental performance. The optimal policy parameters, such as inspection probability of each group and the probability that a firm found in compliance is moved to a better reputation group, were obtained as the basis for regulator’s policy making. Numerical simulations indicated that the three-group inspection regime can significantly increase compliance rate as compared with static enforcement with the same monitoring probability. Among the number of firms in each group under steady state conditions, group 2 had the most, group 1 was the second, and group 3 had the smallest. Analysis and prediction of a three-group reputation example provided a good experiment for the model. The results give a practical reference for the policy makers with inspection capacity constraints to achieve higher compliance rate.