利用H+浓度变化控制含Cl-的氨氮废水的电解时间

采用电化学间接氧化法处理含Cl^-的中高浓度氨氮废水,针对不同浓度的氨氮废水的电解时间的控制,提出利用废水的H⁺浓度变化控制氨氮废水实际处理时间.从理论计算及对模拟和实际氨氮废水进行电解分析发现：当废水氨氮还没有完全降解时,每一个NH₄⁺降解的过程中会生成一个H⁺,c（H⁺）随着时间线性上升;当氨氮刚好完全降解时,c（H⁺）达到最大值;此后继续电解且废水pH＜7时,电解过程形成的OH^-会持续消耗H⁺,c（H⁺）随着时间线性下降.利用pH计实时监测废水的pH值,通过程控信号转换器进行c（H⁺）与pH值的换算,将pH值信号转化为c（H⁺）信号,可提高决策的准确性和灵敏度.     

微电解法处理阴离子表面活性剂废水的研究

利用微电解反应器对阴离子表面活性剂（ＬＡＳ）溶液、洗浴废水和采油废水进行了实验研究，考察了电压、停留时间、ｐＨ值和电导率对处理效果的影响，并对处理机理进行了初步探讨。实验表明：ＬＡＳ废水的最佳处理电压在２０Ｖ以下，停留时间６０～９０ｍｉｎ，ＣＯＤｃｒ、ＬＡＳ的去除率在６５％以上，处理电耗受原水电导率影响很大。     

Microbial electrolysis cells with biocathodes and driven by microbial fuel cells for simultaneous enhanced Co(II) and Cu(II) removal

Cobalt and copper recovery from aqueous Co(II) and Cu(II) is one critical step for cobalt and copper wastewaters treatment. Previous tests have primarily examined Cu(II) and Co(II) removal in microbial electrolysis cells (MECs) with abiotic cathodes and driven by microbial fuel cell (MFCs). However, Cu(II) and Co(II) removal rates were still slow. Here we report MECs with biocathodes and driven by MFCs where enhanced removal rates of 6.0±0.2 mg?L⁻¹?h⁻¹ for Cu(II) at an initial concentration of 50 mg?L⁻¹ and 5.3±0.4 mg?L⁻¹ h⁻¹ for Co(II) at an initial 40 mg?L⁻¹ were achieved, 1.7 times and 3.3 times as high as those in MECs with abiotic cathodes and driven by MFCs. Species of Cu(II) was reduced to pure copper on the cathodes of MFCs whereas Co(II) was removed associated with microorganisms on the cathodes of the connected MECs. Higher Cu(II) concentrations and smaller working volumes in the cathode chambers of MFCs further improved removal rates of Cu(II) (115.7 mg?L⁻¹?h⁻¹) and Co(II) (6.4 mg?L⁻¹?h⁻¹) with concomitantly achieving hydrogen generation (0.05±0.00 mol?mol⁻¹ COD). Phylogenetic analysis on the biocathodes indicates Proteobacteria dominantly accounted for 67.9% of the total reads, followed by Firmicutes (14.0%), Bacteroidetes (6.1%), Tenericutes (2.5%), Lentisphaerae (1.4%), and Synergistetes (1.0%). This study provides a beneficial attempt to achieve simultaneous enhanced Cu(II) and Co(II) removal, and efficient Cu(II) and Co(II) wastewaters treatment without any external energy consumption.     

Generation and Quantification of Hazardous Dusts from Coal Mining in the Indian Context

The increasing trend of opencast coal mining in India tends to release huge amounts of dust. But there is no well-defined method of estimating dust emission due to different coal mining activities. This paper examines the sources of dust emission due to coal mining activities, and focuses on the quantification of dust emission with the development and use of emission factors. Because of their site-specific nature, emission factors developed for one site may not give the correct results for another site. In the present investigation, prediction equations are utilized for the development of emission factors. For the applications of this concept, one large opencast coal project of Bharat Coking Coal Ltd. (BCCL) was investigated, and the total amount of dust emitted due to different mining activities was calculated by the utilization of emission factor data, which was estimated to be 9368.2 kg/day. This paper also focuses on the significance of this study in the field of environmental protection and likely impacts of such study. The paper concludes that once the amount of dust generation is estimated, the impact on air quality can be assessed appropriately and a proper air-pollution control strategy can be developed.     

导流电解法处理含酚废水的研究

阐述了电解法处理废水的基本原理。通过试验确定了用该法处理含酚废水的最佳工艺条件,出水的酚浓度、pH均达到国家排放标准。该法工艺过程简单,处理效果好,无二次污染。经济分析结果表明,该法处理含酚废水的费用低于传统的电解法。     

内电解—Fenton氧化—絮凝沉淀预处理焦化废水

采用内电解—Fenton氧化—絮凝沉淀的化学集成技术预处理焦化废水,优化了各工段的运行参数。实验结果表明：在钢铁铁屑与活性炭的体积比为1∶1的条件下,内电解工段的优化参数为进水pH 2.6~3.1、HRT=1.0 h;Fenton氧化工段的优化参数为Fe2+加入量200 mg/L、H2O2加入量1 000 mg/L、进水pH 3.0左右、反应时间1.0 h;絮凝沉淀工段的设定参数为进水pH 9.5~10.0、聚丙烯酰胺加入量1 mg/L、静置沉降0.5 h。在上述工艺条件下,该集成技术对废水的总COD去除率大于55%,处理后的废水BOD5/COD大于0.28,不添加稀释新水即可进入后续生化处理系统。该工艺占地面积小、系统结构简单、易于工业化,废水预处理成本为4~5元/t。     

Effect of Sb dopant amount on the structure and electrocatalytic capability of Ti/Sb-SnO2 electrodes in the oxidation of 4-chlorophenol

Ti/Sb-SnO_2 anodes were prepared by thermal decomposition to examine the influence',of the amount of Sb dopant on the structure and electrocatalytic capability of the electrodes in the oxidation of 4-chlorophenol.The physicochemical properties of the Sb-SnO_2 coating were markedly influenced by different amounts of Sb dopant.The electrodes,which contained 5% Sb dopant in the coating, presented a much more homogenous surface and much smaller mud-cracks,compared with Ti/Sb-SnO_2 electrodes containing 10% or 15% Sb dopant,which exibited larger mud cracks and pores on the surface.However,the main microstructure remained unchanged with the addition of the Sb dopant.No new crystal phase was observed by X-ray diffraction(XRD).The electrochemical oxidation of 4-chlorophenol on the Ti/SnO_2 electrode with 5% Sb dopant was inclined to electrochemical combustion;while for those containing more Sb dopant,intermediate species were accumulated.The electrodes with 5% Sb dopant showed the highest efficiency in the bulk electrolysis of 4-chlorophenol at a current density of 20 mA/cm~2 for 180 min;and the removal rates of 4-chlorophenol and COD were 51.0% and 48.9%,respectively.     

铁炭微电解组合工艺处理大蒜切片废水研究

采用铁炭微电解技术为核心工艺的混凝-铁炭微电解-强化电解组合工艺对大蒜切片废水进行处理,主要研究了铁炭微电解的运行参数,包括曝气与否、废水pH值、反应时间、铁炭质量比、铁水质量比对COD去除效果的影响。结果表明:经过组合工艺处理后,废水刺鼻的气味完全消除,浊度去除率达100%,ρ(COD)值由13050mg/L降至878mg/L,去除率达93.3%,BOD5/COD(B/C)值由0.10提高到0.46,废水的可生化性显著提高。     

直接电解法处理染料废水的研究

实验以Ti为基体 ,分别采用热分解法和阳极电沉积法制备了SnO2 和PbO2 电极。用XRD、SEM、XPS和稳态极化、循环伏安法分别对上述电极进行结构特性表征和电化学特性检测。实验结果表明 ,在相同工作条件下 ,SnO2 电极的析氧电势比PbO2 电极高 30 0～ 5 0 0mV ,且其作为阳极降解的直接染料 (直接橙S和直接耐晒黑G)模拟废水COD值下降速度快。在模拟染料废水处理体系中 ,提高反应温度有利于染料的降解。SnO2 电极阳极氧化染料溶液过程中 ,能定性检测到降解产物———CO2 。     

游离亚硝酸预处理对剩余污泥电解及微生物群落结构的影响

为打破传统厌氧发酵周期长,有机质利用率低等瓶颈,增强污泥的资源利用和能源回收,探讨了游离亚硝酸（FNA）预处理对剩余污泥电解效果及微生物群落的影响.对比分析了FNA预处理前后剩余污泥在微生物电解池（MEC）中的电流和氢气产生、溶解性有机物和挥发酸的释放和利用及功能菌群的变化情况.结果表明,FNA预处理能有效地促进剩余污泥在MEC系统中的水解和酸化,其溶解性糖类、蛋白和挥发酸的含量远高于未预处理组,进而促进了水解发酵菌、产电菌及反硝化菌的生长和富集,最终挥发酸利用率均在97%以上,表现为电流（1.9mA）和氢气（0.86mL/g VSS）的增强,分别是空白组的3.8倍和5.1倍.