Enhanced degradation of azo dye alizarin yellow R in a combined process of iron–carbon microelectrolysis and aerobic bio-contact oxidation

Purpose

With the aim of enhanced degradation of azo dye alizarin yellow R (AY) and further removal of the low-strength recalcitrant matter (LsRM) of the secondary effluent as much as possible, our research focused on the combination of aerobic bio-contact oxidation (ABO) with iron/carbon microelectrolysis (ICME) process.

Materials and methods

The combined ABO (with effective volume of 2.4?l) and ICME (with effectively volume of 0.4?l) process were studied with relatively short hydraulic retention time (HRT) of 4 or 6?h.

Results

At the HRT of 6?h with the reflux ratio of 1 and 2, the AY degradation efficiency in the final effluent was >96.5%, and the total organic carbon (TOC) removal efficiency were 69.86% and 79.44%, respectively. At the HRT of 4?h and the reflux ratio of 2, TOC removal efficiency and AY degradation efficiency were 73.94% and 94.89%, respectively. The ICME process obviously enhanced the total AY removal and the generated micromolecule acids and aldehydes then that wastewater backflow to the ABO where they were further biodegraded.

Conclusion

The present research might provide the potential options for the advanced treatment azo dyes wastewater with short HRT and acceptable running costs.     

城市污水处理厂污水处理系统中四环素类药物耐药菌的分布特性研究

采用微生物平板涂布法对2家城市污水处理厂污水处理各阶段的四环素类药物(四环素、金霉素、土霉素)耐药菌分布进行了测定,分析了污水处理的各阶段对四环素类药物耐药菌的去除效果。结果显示,2家污水处理厂污水处理系统中均能检出土霉素、四环素、金霉素耐药菌,数量分布均为土霉素耐药菌>四环素耐药菌>金霉素耐药菌。3种耐药菌的浓度均在加氯消毒出水中为最小(在0～103 cfu/mL),在外排污泥中最大(高于进水浓度,在105～107 cfu/mL)。四环素耐药菌数从进水的1.1×105～1.6×105 cfu/mL降为出水的0～5.5×102 cfu/mL,说明污水处理过程对四环素耐药菌有一定的去除效果,但四环素耐药菌占总菌数的百分比没有明显下降或上升,相比于进水的1.1%～3.4%,出水仍然保持在3.1%～4.3%左右,表明污水处理过程中没有选择性的富集或去除四环素耐药菌。     

UV-Fenton体系预处理四氢呋喃废水实验研究

采用UV-Fenton体系预处理四氢呋喃废水,实验结果表明,pH值、反应时间、Fe2+和H2O2投加量等因素对处理效果有较大的影响。实验确定的最佳反应条件为:原水pH=5,Fe2+投加量2.5 mmol/L,H2O2投加量12 mmol/L,反应时间90 min,连续曝气,在此条件下,COD去除率可达85%左右。经UV-Fenton体系处理后,废水的B/C值由0.16增至0.47,可生化性提高,可满足后续生化处理的要求。     

SO2-4/TiO2光催化降解苯酚

以工业硫酸氧钛为原料水解制得SO42-/TiO2光催化剂,并以苯酚为目标降解物,考察了SO24-/TiO2的光催化性能。结果表明:随着SO42-/TiO2制备过程中焙烧温度的升高,其光催化活性逐渐增加,650℃焙烧获得的SO24-/TiO2的光催化活性最好,此后再升高温度会因催化剂中硫的挥发而下降;在确定苯酚原液初始浓度为50 mg/L条件下,SO42-/TiO2的光催化降解苯酚的最佳工艺条件为反应时间2 h、苯酚pH为7、催化剂用量1 g/L。XRD、SEM和FTIR的分析结果显示实验温度下制得的SO42-/TiO2均为锐钛型TiO2;其间掺杂的SO24-在TiO2表面分散性较好,没有聚集成大的颗粒;红外分析的结果初步判定低温(<550℃)焙烧制得的催化剂SO42-在TiO2表面是螯合双配位吸附,高温焙烧时(>550℃)SO42-在TiO2表面是桥式配位吸附。     

电絮凝处理油田生化出水

为了减轻对后续处理中超滤膜的污染,采用电絮凝法处理油田生化出水,降低油田生化出水中的有机物含量。研究了电流强度、曝气时间和pH值对水中总有机碳（TOC）和浊度除去效果的影响以及pH值随曝气时间的变化趋势,通过红外光谱对絮凝处理前后水中总溶解固体进行了分析,优化了电絮凝的工艺条件。研究表明,当水流速度控制在50 mL/s,电流强度为2 A,500 mL絮凝出水的曝气时间为30 min时,整套絮凝工艺对TOC的去除率为48%,浊度去除率为42.9%,COD去除率为44%。     

基于遥感反演长江中游地区悬浮泥沙研究

悬浮泥沙定量研究对于调查长江的水质、地貌、生态环境等起着至关重要的作用。以长江中游武汉地区2012~2013年14幅不同时相的Landsat ETM+遥感影像为主要数据源,结合野外采样悬浮泥沙浓度数据,分析了悬浮泥沙遥感定量反演方法,数据处理中针对ETM+SLC OFF影像缝隙问题,采用自适应局部回归匹配算法（ALR）进行影像自动恢复处理,在波段选择中对悬浮泥沙浓度和光谱反射率数据进行相关性分析,并运用传统关系建模方法和高斯模型方法对比,比较悬浮泥沙定量反演模型,利用实测验证数据对反演模型精度进行评估。研究结果表明：（1）ALR可以有效的获取悬浮泥沙敏感波段的遥感光谱反射率;（2）ETM+Band3悬浮泥沙浓度的高斯模型相关系数最高,通过对比得到模型反演的验证精度较高,研究证明遥感定量反演适合于长江流域武汉段泥沙含量大范围监测     

东洞庭湖湿地生态系统健康状态与水位关系研究

基于CBERS卫星遥感影像数据,以东洞庭湖国家级自然保护区为研究区,通过光谱特征分析建立决策树分类模型,提取东洞庭湖湿地的地物类型。以生态系统健康理论为基础,依据东洞庭湖湿地的特点,综合湿地生产力、组织结构、弹性和功能4个方面,建立湿地生态系统健康状态评价指标体系和评价模型,利用GIS技术,分析东洞庭湖湿地在2000～2006年10个时相的生态系统健康状态。结合城陵矶水文站的水位数据,探讨了东洞庭湖湿地健康状态与城陵矶水位之间的相关性,并利用2007年两个时相的数据进行检验。研究结果表明：东洞庭湖湿地健康状态与城陵矶水位之间存在着较大的相关性,当城陵矶水位达到30 m左右时,东洞庭湖湿地健康状态达到最佳值     

臭氧-BAF组合工艺对石化行业废水深度处理的中试研究

采用臭氧-曝气生物滤池（BAF）组合工艺对中石化九江分公司二级生化出水进行深度处理中试实验。探讨了臭氧投加量、进水水质冲击负荷等因素对该组合工艺出水COD、NH₄⁺-N的影响。中试结果表明,在该水质条件下,臭氧最佳投加量为20~25 mg/L;组合工艺处理后出水COD低于40 mg/L,NH₄⁺-N低于5 mg/L,达到中水回用设计标准;该组合工艺能够经受一定冲击负荷。     

碱式硫酸铝溶液中SO42-的测定

建立了以铬黑T为指示剂,乙二胺四乙酸二钠反滴定过量BaCl₂的碱式硫酸铝溶液中SO₄^2-的测定方法。实验确定的操作条件为：待测试样稀释后ρ（SO_4^2-）为0.025 ~0.100 g/L,BaCl₂过量率为25%~100%,并且在加入BaCl₂前将试样煮沸,三乙醇胺加入量为0.10 L/L。该法回收率在98.90%~100.72%,相对标准偏差小于1%。测定方法准确,可靠,且操作简便、快速。     

Occurrence, distribution, and sources of six phenolic endocrine disrupting chemicals in the 22 river estuaries around Dianchi Lake in China

The objectives of this study are to track the occurrence, distribution, and sources of phenolic endocrine disrupting compounds (EDCs) in the 22 rivers around Dianchi Lake in China, to estimate the input and output amounts of phenolic EDCs in the water system, and to provide more comprehensive fundamental data for risk assessment and contamination control of phenolic EDCs in aquatic environment. Six phenolic EDCs were systematically evaluated in water and surface sediment in the estuaries of those rivers. The water and sediment samples were preconcentrated by solid-phase extraction system and microwave-assisted extraction system, respectively. Phenolic EDCs were analyzed by GC-MS (Thermo Fisher Scientific, USA) after derivatization. Phenolic EDCs were found ubiquitously in the aquatic environment. The total concentrations ranged from 248 to 4,650 ng/L in water, and 113 to 3,576 ng/g dry weight in surface sediment. The residue amount of phenolic EDCs in Dianchi Lake was 258 kg/a. Concentrations of the phenolic EDCs in the Lake decreased with increase in distance to the estuaries of those rivers which run through urban and industrial areas. The rivers seriously contaminated by phenolic EDCs were Xin River, Yunliang River, Chuanfang River, Cailian River, Jinjia River, Zhengda River, and Daqing River which run through the old area of Kunming City. Satisfying correlations were observed between the concentrations of the target compounds in water and in surface sediment. NP1EO, NP2EO, and BPA were identified as the three predominant phenolic EDCs. There were significant correlations between phenolic EDCs and many basic water quality parameters. Urban and industrial areas are the major contributors for phenolic EDCs, especially in Kunming City. Compositional profiles of phenolic EDCs in surface sediment were similar to those in river water. The concentrations of phenolic EDCs in the rivers located in the northwest part of the valley were very high, and posed a potential risk to aquatic organisms and even human. The concentrations of NP2EO, NP1EO, and BPA were at moderate levels of other areas. The basic water quality parameters (TOC, TN, DO, and pH) play important roles on the distribution, fate, and behavior of phenolic EDCs in the valley.