热污染对陡河水库鱼类及其水环境的影响

研究表明,热污染对水环境影响主要表现在水温的频繁变化、水平和纵向上温差明显以及改变水生物的群落结构.寄生虫感染率增加,冷热冲击对胚胎发育的危害和浮游生物群落变化形成的饵料基础是影响鱼类数量和生长的重要因素,鱼类在群落中的生态位特点则决定着对各种变化的反应结果.     

聚硅酸铝铁对印染废水脱色作用及其改性的研究

印染废水的治理是我国现行工业废水治理领域的几大难题之一。本文以三种单体染料为研究对象，对絮凝剂聚硅酸铝铁进行改性，并对其脱色效果进行了检验。通过正交试验找出影响脱色效率的主要因素，并找出最佳配方组合。实验表明，改性聚硅酸铝铁脱色效率高，沉速快，是一种具有很好应用前景的脱色絮凝剂。     

A pilot scale anoxic/oxic membrane bioreactor (A/O MBR) for woolen mill dyeing wastewater treatment

A pilot-scale( 10 m^3/d) anoxic/oxic membrane bioreactor( A/O MBR) was tested for dyeing wastewater treatment of woolen mill without wasting sludge in 125 days operation. Results showed that the effluent quality was excellent, i.e. effluent COD less than 25 mg/L,BOD5 under 5 mg/L, turbidity lower than 0.65 NTU, and colour less than 30 DT, and met with the reuse water standard of China. The removal rates of COD, BOD5, colour, and turbidity were 92.4%, 98.4%, 74% and 98.9%, respectively. Constant-flux operation mode was carried out in this study, and backwash was effective for reducing membrane fouling and maintaining constant flux. Membrane fouling had heavy impact on energy consumption. More attention should be paid on pipe selection and design for the sidestream MBR system, too.     

炼化装置大型机组润滑油站油雾回收系统改造

针对炼化装置机组润滑油站油雾无法回收、现场卫生差及VOCs排放超标等问题,通过对几种油雾治理方式的分析比对发现,将离心式分离法和过滤法相结合可显著降低补油量,改善现场卫生,直接减少非甲烷总烃排放量,同时也为装置创造了一定的经济效益。     

超声波降解水溶液中叔丁醇的研究

研究了超声场降解水溶液中叔丁醇的行为，并探讨了反应动力学模式。实验表明．在本实验条件下超声波降解叔丁醇能够达到较好的降解效果。叔丁醇的去除率随着超声辐射时间的延长而提高，在频率为20kHz、功率为1500W的超声场下，作用80min能够达到90％左右的去除率。反映体系的降解速率随着反应温度的提高而升高，随着初始浓度的增大而降低：反应体系的pH值对叔丁醇的降解率影响不大：溶液中溶解气体的种类对降解效果有一定影响。反应速率常数按照由快到慢的顺序为ko2〉k未作处理〉kN2。在一定的初始浓度条件下，超声波降解叔丁醇的反应符合假一级反应动力学模式。     

抚顺市环境噪声现状及控制对策

本文以抚顺市1996年2005年的噪声监测资料为依据，分析了抚顺市的环境噪声污染现状、特征，指出存在的主要问题是：社会生活噪声突出、交通噪声污染显著。并据此探索合理的防治措施——噪声控制规划纳入城市发展规划及强化城市环境噪声管理。     

Indirect effect of nutrient accumulation intensified toxicity risk of metals in sediments from urban river network

The levels of metals in sediments of urban river ecosystems are crucial for aquatic environmental health and pollution assessment. Yet little is known about the interaction of nutrients with metals for environmental risks under contamination accumulation. Here, we combined hierarchical cluster, correlation, and principal component analysis with structural equation model (SEM) to investigate the pollution level, source, toxicity risk, and interaction associated with metals and nutrients in the sediments of a river network in a city area of East China. The results showed that the pollution associated with metals in sediments was rated as moderate degree of contamination load and medium-high toxicity risk in the middle and downstream of urban rivers based on contamination factor, pollution load index, and environmental toxicity quotient. The concentration of mercury (Hg) and zinc (Zn) showed a significant correlation with toxic risks, which had more contribution to toxicity than other metals in the study area. Organic nitrogen and organic pollution index showed heavily polluted sediments in south of the study area. Though correlation analysis indicated that nutrients and metals had different input zones from anthropogenic sources in the urban river network, SEM suggested that nutrient accumulation indirectly intensified toxicity risk of metals by 13.6% in sediments. Therefore, we suggested the combined consideration of metal toxicity risk with nutrient accumulation, which may provide a comprehensive understanding to identify sediment pollution.

Toxicity rate of metals in sediments from urban river network indirectly intensified by nutrients accumulation

     

Enhanced removal of lead(II) and cadmium(II) from water in alum coagulation by ferrate(VI) pretreatment.

A laboratory study demonstrated that ferrate pretreatment significantly enhanced lead and cadmium removal in alum coagulation, under the conditions of natural surface water. The enhancement of lead removal was approximately 21 to 37% by ferrate pretreatment at a dosage of 1 to 5 mg/L. The enhanced removal of cadmium by ferrate pretreatment at a dosage of 1 to 5 mg/L exceeded the removal by alum coagulation alone 2-to 12-fold. Cadmium is much more difficult to remove than lead in alum coagulation. The performance of ferrate in enhancing the removal of lead and cadmium in alum coagulation was better than that of ferric chloride. The removal of lead and cadmium was highly pH-dependent, following the general trend of higher pH being related to higher removal. Satisfactory removal of cadmium could be expected by ferrate pretreatment combined with adjusting the pH of the water.     

An intelligent emissions controller for fuel lean gas reburn in coal-fired power plants

The application of artificial intelligence techniques for performance optimization of the fuel lean gas reburn (FLGR) system is investigated. A multilayer, feedforward artificial neural network is applied to model static nonlinear relationships between the distribution of injected natural gas into the upper region of the furnace of a coal-fired boiler and the corresponding oxides of nitrogen (NOx) emissions exiting the furnace. Based on this model, optimal distributions of injected gas are determined such that the largest NOx reduction is achieved for each value of total injected gas. This optimization is accomplished through the development of a new optimization method based on neural networks. This new optimal control algorithm, which can be used as an alternative generic tool for solving multidimensional nonlinear constrained optimization problems, is described and its results are successfully validated against an off-the-shelf tool for solving mathematical programming problems. Encouraging results obtained using plant data from one of Commonwealth Edison's coal-fired electric power plants demonstrate the feasibility of the overall approach. Preliminary results show that the use of this intelligent controller will also enable the determination of the most cost-effective operating conditions of the FLGR system by considering, along with the optimal distribution of the injected gas, the cost differential between natural gas and coal and the open-market price of NOx emission credits. Further study, however, is necessary, including the construction of a more comprehensive database, needed to develop high-fidelity process models and to add carbon monoxide (CO) emissions to the model of the gas reburn system.