荧光化学传感器的制备及其在环境分析监测中的应用

随着荧光分析技术和传感技术的发展,荧光化学传感器已经成为一种重要的连续分析测量装置.它具有很高的选择性和灵敏度,可以实现对pH、溶解氧、含氮化合物、有毒害重金属离子、有机污染物进行实时和在线测定,因此在环境分析监测方面具有广泛的应用前景.简要介绍了荧光化学传感器的原理、制备及分类,综述了近年来荧光化学传感器的发展及其在环境分析监测中的最新研究成果,并探讨了荧光化学传感器在环境分析监测领域的应用前景和发展方向.     

污水土壤含水层处理系统原理、管理、效率和应用

论述了污水土壤含水层处理系统中的地球化学过程.该系统通过对污染物的机械过滤、生物化学转化和降解过程、吸附/解吸过程、氧化/还原过程、沉淀/溶解过程、以及矿物的合成过程净化污水.运作周期通常为1～2 d灌水/4～5 d排干,年水力负荷变化于15～100 m之间,应根据季节变化调整水力负荷.该系统能有效去除污水中的微生物和悬浮物,降低COD和BOD含量,和去除潜在的有毒的无机成分,如重金属和含氧阴离子.作为一种低投资、低能耗、高净化效率、运行简单的自然的污水处理技术,其在世界各国得到了广泛应用.我国部分地区水资源极其短缺,在土壤和气候条件适合的地区,应用土壤含水层处理技术处理污水,实现污水资源化,既解决了污水污染环境问题,又将在一定程度上缓解该地区的水资源短缺问题,对于经济与环境的协调发展具有重要意义.     

基于SBR反应器的ANAMMOX工艺的启动运行

采用SBR反应器,接种好氧硝化污泥,在142 d内于较高负荷下成功启动了厌氧氨氧化反应器.反应器总氮容积负荷(以N计)为0.43 kg/m3·d,总氮去除率最高达到93.3%,平均为80.5%;氨氮和亚硝酸盐氮的去除率最高达到93.9%和99.8%,平均去除率为81.2%和85.7%.在稳定运行阶段,氨氮去除量、亚硝酸盐氮去除量、硝酸盐氮生成量三者之间的比值为1:1.38:0.18.反应器启动过程中,出水、进水pH差值的变化趋势由负到正,然后稳定在一定范围内;且污泥性状有较大变化,污泥中微生物所占比率有所提高,整个反应器中适应厌氧氨氧化运行方式的菌种增殖较快.     

悬浮颗粒物在河道滞留塘系统中的沉降与沉积特性

河道滞留塘系统是以颗粒物沉降为污染物主要净化机理的污染河流净化技术.通过1年的现场试验研究,考察了悬浮颗粒物SS在滞留塘中的沉降和沉积特性.在本试验条件下,随水力停留时间(HRT)延长(HRT为1.5～7 h),SS平均去除率逐渐增加,介于20%～40%之间,而SS去除速率则快速降低,SS去除速率与进水SS浓度成正比关系;不同季节河水中SS的沉降性能有较大差异,冬季河水中有机物含量较低的易沉降颗粒物比例较春秋季河水的为高,滞留塘HRT的选择应以去除易沉降颗粒物为标准,本研究条件下5 h以内是适宜的HRT选择范围.在滞留塘动态运行中,SS的沿程沉积量呈指数规律下降.     

前处理-水解-生物接触氧化工艺处理染料废水

介绍了前处理-水解-生物接触氧化工艺处理染料废水的工程实例.当进水COD≤8000 mg/L时,出水可达到国家〈污水综合排放标准〉（GB8978-1996）二级标准.     

臭氧-曝气生物滤池处理酸性玫瑰红染料废水

在实验室配制含酸性玫瑰红染料的印染废水，采用臭氧氧化-曝气生物滤池工艺开展处理试验。试验运行结果表明，臭氧氧化处理能提高模拟废水的可生化性，BOD／COD值由原水的0．18上升到0．36。经组合工艺处理后出水COD〈40mg／L，色度40倍以下，SS约50mg／L，处理效果良好。     

微波加热对活性炭表面基团及其对SO2吸附性能的影响

采用了微波加热技术,通过在不同微波功率和辐射时间条件下对不同粒径活性炭进行改性,研究了改性前后活性炭的表面化学基团、元素组成的变化,以及对SO2吸附性能的影响.结果表明,经过微波改性后活性炭的SO2吸附性能大为提高,微波功率是影响改性活性炭脱硫性能的主要因素.活性炭经微波热处理后,酸性基团发生分解,表面含氧量减少,碱性特征增强,是吸附性能增加的主要原因之一.     

氧化镁脱硫结垢研究

对氧化镁脱硫法中的结垢问题进行了系统的研究 ,通过对比实验 ,分析了结垢的机理、氧化镁法在防止结垢方面所具有的优势及其原因 ,提出了实际中判断结垢倾向的方法和避免结垢的合理建议。     

Fate of polycyclic aromatic hydrocarbons during vitrification of incinerator ash in a coke bed furnace

Fate of polycyclic aromatic hydrocarbons (PAHs) during the vitrification of fly ash and bottom ash from the municipal waste incinerator in a coke bed furnace was investigated. In this system, both coke and lime were added to enhance the melting reaction. The major PAH sources in this system were ash and coke, which respectively contributed 97% and 3% of PAHs in the input-mass. During vitrification process, low molecular PAHs (LM-PAH, 2-3-ring), median molecular PAHs (MM-PAH, 4-ring) and high molecular PAHs (HM-PAH, 5-7-ring) mass respectively accounted for >99%, >99% and 84% of the output-mass emitted as the stack flue gas; while those discharged from the slag were <1%, <1% and 16%, respectively. The O/I (output-mass/input-mass) ratio of LM-, MM- and HM-PAHs were 0.063, 0.002 and <0.001, respectively. The high distribution in flue gas and O/I ratio of LM-PAHs is reasonable since they are more easily evaporated, hence difficult to be removed by air pollution control devices. On the contrary, the HM-PAHs, having lower vapor pressure, primarily stays mainly in slag. Based on the 21 total PAH content in feeding ash and slag, the reduction efficiency of the coke bed furnace was >99.9%. To minimize the risk of secondary pollution, the efficiency of coke bed furnace should be improved to reduce the PAH emission into ambient air.     

Quantification of joint effect for hydrogen bond and development of QSARs for predicting mixture toxicity

A QSAR model is successfully proposed to predict the toxicity effect on Photobacterium phosphoreum by nonpolar-narcotic-chemical mixtures and/or polar-narcotic-chemical mixtures. For nonpolar-narcotic-chemical mixtures and polar-narcotic-chemical mixtures, their corresponding hydrophobicity-based QSAR models are derived from regression analysis. Comparison of these two QSAR models make us believe that it is the joint effect of hydrogen bond in polar-narcotic-chemical mixture that leads to the difference between these two models. Such joint effect of hydrogen bond can be quantified as AMH and BMH by using the different partition coefficients of mixtures in various organic phase/water systems. And the regression analysis results convinced us that the introduction of AMH does improve the quality of the QSAR model with r2=0.948, S.E.=0.166 and F=745.201 at P=0.000 for total 84 mixtures.