影响脱硫塔性能的因素分析与研究

湿法烟气脱硫是成熟且具有较好发展前景的工艺,其中关键是对脱硫塔的选择及通过各项参数的控制达到良好的脱硫效率.通过对脱硫塔酸碱度(PH)、气液比(L/G)、流场特性、结垢等各种性能进行分析研究,对脱硫塔的选择和实际运行具有一定的指导意义.     

环渤海湾诸河口水质现状的分析

根据对环渤海湾诸河口实地采集的12个水样进行的重金属、砷、总氮和总磷含量分析，发现环渤海湾诸河口水污染严重，多超过地表水V类标准，主要污染物质为Hg、N和P，其他污染物含量均在地表水H类标准以内。其中海河口处的Hg含量在20年间增加了10倍左右。诸河口水体中N和P含量均达到水体富营养化危险负荷，可见陆源污染是渤海湾富营养化日趋严重、赤潮日趋增多的主要原因。     

海河干流、大沽排污河沉积物中有机氯农药的残留状况

调查了海河干流和大沽排污河沉积物中持久性有机氯杀虫剂(OCPs)的残留状况.在所选取的16个断面沉积物样品中均有大量HCHs、DDTs检出,表明海河和大沽排污河的DDT和HCH污染相当严重.海河沉积物中HCHs和DDTs总质量浓度分别为3.30～75.96、1.57～221.57 ng/g.大沽排污河沉积物中HCHs和DDTs的残留量分别为2.30～124.61、11.28～237.30ng/g.与国内外部分河流表层沉积物中HCHs、DDTs的含量相比,海河和大沽排污河沉积物中有机氯农药含量较高.最后根据两条河流沉积物中的OCPs的残留量,分析了其可能的污染源.     

UniTank工艺流程氨氮浓度的动态特征

利用基于ASM2D的数学模型对上海石洞口污水厂UniTank工艺内氨氮浓度的动态特性进行了仿真研究,发现该流程反应器氨氮浓度具有非稳态特征.反应器内氨氮浓度的变化规律与曝气时间设定及进水时间设定有关.增加曝气强度,能降低边池及中池的氨氮浓度,相应增大边池及中池的硝态氮浓度.     

雷州半岛土壤重金属分布特征及其污染评价

在雷州半岛采集了106个土壤表层样品,分析了其中8种重金属元素(Cu、Pb、Zn、Cr、Ni、Cd、Hg和As)的全量.结果表明,雷州半岛土壤重金属污染由高到低排序为Ni＞Cr＞Hg＞Cu＞Zn＞Cd＞As＞Pb,Zn、Cd、As和Pb质量浓度均没有超标,Hg和Cu质量浓度超标率亦不高,但Ni和Cr平均质量浓度达49.81、87.13 mg/kg,高于国内外其他对照区域,超标率分别为25.47%和24.53%;重金属元素在雷州半岛各土壤利用类型中分布规律不明显,按4种主要土壤利用类型受重金属污染程度大小排序为甘蔗地＞果园土＞水田＞菜地;雷州半岛土壤综合污染指数总平均为0.970,土壤总体上尚清洁,重金属污染处于警戒水平;雷州半岛各区域中,徐闻、雷州两地土壤重金属质量浓度明显高于其他地区,其主要原因是徐闻、雷州两地成土母质主要为玄武岩,造成土壤Cr、Ni及其他重金属背景值较高.     

生态发酵床运行参数变化规律研究

为了探究发酵床运行过程中参数的变化规律,试验在某生态养殖场开展研究,获取发酵床运行过程中温湿度、碳氮比(C/N)等数据,并分析其变化趋势。结果表明,控制好养殖密度及粪污负荷,发酵床能够保持合适的温度、湿度和pH,并具有一定的自我调节功能;垫料中固相C/N下降趋势缓慢,可以为发酵反应提供长期的碳源,水溶性C/N经过短期波动后趋于稳定,能够给微生物提供足够的养分;在不同粪污负荷条件下,氨态氮转化趋势不同,高负荷条件下更容易造成氮素的损失。研究结果在一定程度上可以为今后发酵床运营维护提供指导和技术支撑。     

活性污泥二次污染问题的探讨(Ⅱ)

讨论了城市污水经过A／O工艺处理时活性污泥的二次污染问题。将原水、处理后的出水及活性污泥用甲苯萃取，萃取相经过真空浓缩后，采用GC／MS测定了样品中的有机化合物，结果表明，在A／O工艺处理城市污水过程中，活性污泥的吸附作用是主要的，降解作用是次要的；A／O工艺所排放的活性污泥仍然是一种危险的污染物。     

基于PIV技术的ABR反应器在不同HRT下的液相流态特性

利用激光粒子图像测速技术（PIV）对ABR反应器的液相流态进行了研究,在水力停留时间（HRT）为3~58 h变化时,测试得反应器内下流室和上流室折流板内外侧关键截面的流场数据,获得了相关流场特征,包括速度矢量图、流线图谱和涡量场等。结果表明,HRT对下流室和上流室的液相轴向、径向平均速度和平均涡量强度影响不同,液相回流面积随HRT的增加逐渐减小;下流室液相平均涡量强度随HRT的增加逐渐增加;上流室液相平均涡量强度随HRT的增加逐渐减小。下流室和上流室在特定HRT时产生涡流、沟流。在本实验条件下,当处理难降解或高浓度废水时,得出HRT为33 h时反应器整体流态最佳。     

Euglena gracilis as a model for the study of Cu and Zn toxicity and accumulation in eukaryotic cells

We have observed the effect of copper and zinc on the biology of Euglena gracilis. The cells displayed different sensitivities to these metals, as the apparent LC₅₀ for Cu²⁺ was 0.22 mM, and for Zn²⁺ it was 0.88 mM. While Zn²⁺ was able to increase cell proliferation even at 0.1 mM, the minimal CuCl₂ concentration tested (0.02 mM) was sufficient to impair cell division. Higher concentrations of these metals not only inhibited cell division in a concentration-dependent manner, but also interfered with the metabolism of E. gracilis. A higher accumulation of proteins and lipids per cell was observed at the DI₅₀ concentration for metal-treated cells. These results suggest that the test concentration of both metals leads to a failure in completing cell division. Ultrastructural analysis indicated a chloroplast disorganization in copper-treated cells, as well as the presence of electron dense granules with different shapes and sizes inside vacuoles. Microanalysis of these granules indicated an accumulation of copper, thus suggesting a detoxification role played by the vacuoles. These results indicate that E. gracilis is an efficient biological model for the study of metal poisoning in eukaryotic cells. They also indicate that copper and zinc (copper being more poisonous) had an overall toxic effect on E. gracilis and that part of the effect can be ascribed to defects in the structure of chloroplast membranes.     

Detection of organic pollutants in sandy soils via TDR and eigendecomposition

In this study, organic pollutants in sandy soils are detected using a time domain relectrometry (TDR) probe system and eigendecomposition technique. As a demonstration, four types of organic fluids (motor oil, diesel oil, methanol and ethanol) were examined. Samples were prepared with different combinations of deionized water and organic fluid contents. For each experiment, reflected signals were captured by an oscilloscope, and their characteristics were identified using eigendecomposition technique. Autoregressive modeling and singular value decomposition methods were utilized for calculating the eigenvalues. The most significant eigenvalues were then identified based on their relative magnitude. Experimental results indicated that the presented system is sensitive to both water and pore fluid organic contents. For saturated conditions, signature curves were determined for identification of organic and/or water contents in soil pore fluids.