Biotransformation of cyanide to methane and ammonia by Klebsiella oxytoca

Klebsiella oxytoca, isolated from cyanide-containing industrial wastewater, was shown to be able to biodegrade cyanide to non-toxic endproducts using cyanide as the sole nitrogen source. In this study, ammonia was one of the detected endproduct of cyanide biodegradation by the concentrated resting cells of K. oxytoca. Moreover, cyanide has been shown to be biotransformed to methane through the actions of concentrated resting cells. Biodegradation of cyanide by cell-free extracts was not observed, which might be due to the inactivation of nitrogenase (an oxygen-labial enzyme) caused by the oxygen exposure after cell disruption. Results show that the cyanide consumption by resting cells of K. oxytoca was induced when the pretreatment of these cells with cyanide was conducted. However, the cyanide-degrading capability of resting cells pretreated with ammonia was inhibited. The inhibition of cyanide degradation by resting cells of K. oxytoca was affected by the ammonia concentration. This might result from the suppression of nitrogenase activity of K. oxytoca by ammonia since nitrogenase was suggested to be the sole cyanide-degrading enzyme during the cyanide degradation process. Results from this study also show that the processes of cyanide biodegradation and ammonia production by resting cells occurred simultaneously. This suggests that the utilization of cyanide as nitrogen source by K. oxytoca might proceed using ammonia as an assimilatory substrate.     

Removal of ammonia solutions used in catalytic wet oxidation processes

Ammonia (NH(3)) is an important product used in the chemical industry, and is common place in industrial wastewater. Industrial wastewater containing ammonia is generally either toxic or has concentrations or temperatures such that direct biological treatment is unfeasible. This investigation used aqueous solutions containing more of ammonia for catalytic liquid-phase oxidation in a trickle-bed reactor (TBR) based on Cu/La/Ce composite catalysts, prepared by co-precipitation of Cu(NO(3))(2), La(NO(3))(2), and Ce(NO(3))(3) at 7:2:1 molar concentrations. The experimental results indicated that the ammonia conversion of the wet oxidation in the presence of the Cu/La/Ce composite catalysts was determined by the Cu/La/Ce catalyst. Minimal ammonia was removed from the solution by the wet oxidation in the absence of any catalyst, while approximately 91% ammonia removal was achieved by wet oxidation over the Cu/La/Ce catalyst at 230 degrees C with oxygen partial pressure of 2.0 MPa. Furthermore, the effluent streams were conducted at a liquid hourly space velocity of under 9 h(-1) in the wet catalytic processes, and a reaction pathway was found linking the oxidizing ammonia to nitric oxide, nitrogen and water. The solution contained by-products, including nitrates and nitrites. Nitrite selectivity was minimized and ammonia removal maximized when the feed ammonia solution had a pH of around 12.0.     

具有K2NiF4型结构的稀土复合氧化物对有机胺的催化降解作用研究

采用柠檬酸络合分解法合成了四方晶点、Ｋ２ＮｉＦ４型结构的稀土复合氧人ＬａＳｒＭＯ４（Ｍ＝Ｍｎ，Ｆｅ，Ｃｏ，Ｎｉ）。实验结果，该类氧化物催化剂对恶臭和有毒的有机胺类化合物具有较好的催化降解作用，有机胺的氧降解可达１００％，而氮氧化物的产生率低于１０％，其含量可大大低于排放标准。     

生活垃圾填埋场矿化垃圾分选研究

对上海市老港生活垃圾填埋场填埋龄为1～14年的矿化垃圾进行了分选研究.结果表明,填埋龄在8年以上矿化垃圾细料(粒径＜50 mm)的百分比约占60%,而填埋龄低于5年的矿化垃圾细料比例低于40%.开采出来的垃圾经分选后的产品可得到有效的资源化利用.     

基于神经网络的活性污泥系统建模及其控制

针对松江污水厂污水处理活性污泥系统，采用神经网络技术进行建模试验研究，在对实际运行数据剔除异常数据后，将样本数据随机分成训练样本、检验样本和测试样本。用试凑法确定合理的神经网络隐层节点数，用检验样本实时监控训练过程从而避免“过训练”现象，用多次改变网络初始连接权值求得全局极小点，从而建立了泛化能力较好的基于神经网络的活性污泥系统数学模型。利用建立的神经网络模型，对活性污泥系统运行情况的仿真与控制进行了分析研究。示例研究表明：神经网络技术能较好地应用于活性污泥系统的建模与控制，有很好的理论与实践意义。     

深基坑支护系统稳定性可靠度分析

尝试将系统可靠度理论运用于深基坑稳定性的可靠度分析，提出了基坑系统稳定性的可靠度模型。通过实例计算分析，验证了本方法的可行性。研究对今后基坑支护的设计具有一定的实际意义。     

厌氧反应器技术研究开发情况简介

本文分析了厌氧反应器技术的发展过程,着重介绍了几种新型第三代厌氧反应器技术的原理和应用现状,以及我国目前对这些技术的研究开展情况,其中:升流式厌氧污泥床过滤器(UBF)研究取得了一定的成功经验;垂直折流厌氧污泥床反应器(VBASBR)缺乏应用生产实例;厌氧折流反应器(ABR)已有成功经验;内循环反应器(IC)还只限于部分废水的处理;膨胀颗粒污泥床反应器(ECSB)尚未有规模的生产投入使用。     

基于概率论和BP网络的水质评价与灰色动态预测模型

讨论了BP网络模型存在的不足。提出了建立合理的BP网络模型的基本原则和步骤。针对水质评价与预测问题。通过在各类水质污染指标浓度区间内生成随机分布样本的方法。组成足够多用于BP网络训练、检验和泛化能力评定用的样本。建立了南京市秦淮外河水体水质评价的BP网络模型：给出了区分不同类别水质的模型分界值样本和模型输出分界值。用概率分布理论分析处于相邻类别水质过渡状态水体的水质属性。建立的水质评价模型应用于实例表明。南京市秦淮外河水体1991—1996年水质为V类向IV类转变。1992年水质最差，1996年水质最好。灰色动态预测模型计算表明。从1997到2001年。南京市秦淮外河水体水质逐年变好。     

氮肥对污泥农用后土壤中重金属活性的影响

讨论了土壤中重金属活性的主要影响因素及氮肥对污泥农用后土壤中重金属的吸附—解吸、根际土壤重金属化学行为及植物吸收的影响,提出了农业生产过程中缓减和降低氮肥对土壤中重金属活性影响的措施:按规定合理施用污泥或活性污肥,提倡科学合理施用氮肥,因地制宜选择氮肥,结合改良剂施肥。