草履虫──针杆藻群落对混合印染废水净化作用的条件实验

本文对混合印染废水的静态净化过程，进行了生物群落观察和条件实验。发现废水净化初期以大量细菌和草履虫（以 Ｐ． Ｃａｕｄａｔｕｍ为主）繁殖为特征，同时伴生着少量浮游藻类。随着净化过程的进行，细菌和草履虫数量下降，以针杆藻（以 Ｓ． ａｕｃｓ为主）为建群种的浮游藻类群落占优势。化学分析表明，净化作用与温度、光照条件及废水起始浓度有关。     

深井曝气法处理环氧丙烷皂化废水

对深井曝气工艺处理高盐，高ｐＨ、高温的环氧丙烷皂化废水进行了主研究，结果表明，ＣＯＤｃｒ的去除率可达８０％，ＢＯＤ５的去除率可达９５％以上。     

SBR工艺处理维生素C废水试验研究

采用颗粒污泥和普通絮体污泥SBR反应器对维生素C生产废水进行可生化性对比试验研究，结果表明，在进水CODcr为400—1800mg／L，运行周期为8h，其中曝气时间为5．5h，换水比为80％的条件下，颗粒污泥反应器CODer去除率为75-90％，污泥浓度介于6．11～8．32g／L，污泥指数为20～40mL／g.     

物化法处理炼油废水

阐述了加热隔油与两级气浮相串联的物化法处理高粘度炼油废水的试验原理、过程及注意事项。结果表明：该试验流程处理效率高、四季运行稳定、出水能够达标排放。同时可回收浮油和泡沫油，具有显著的经济效益。     

废水中含磷表面活性剂的测定

应用非水电位滴定法测定了废水中各种烷基磷酸酯钾盐及其单、双酯盐。方法的变异系数分别为２．３％和７．８％（ｎ＝１２）。本法可有效地消除非离子表面活性剂的干扰，适用于化纤油剂的质量检验和上油槽中油剂浓度的测定。     

糖厂废醪液蔗地施肥的效应

糖厂根据当地的自然条件和工农关系 ,采用施肥法资源化利用废醪液 ,是最为经济的污水治理方法。     

污水海洋（江河）处置工程喷口的冲淤规律

结合上海市合流污水治理二期工程排放管稀释扩散规律及泥沙冲淤规律的研究，利用少运动相似理论，通过模型试验，从环境泥沙积在上管喷口上的最不利条件出发，分析喷口对泥沙的冲液规律，提出喷口冲淤临界速的概念，并据此提出适宜的上升管高度及喷口射流角度。     

效益型资源化啤酒废水处理技术应用及效果

本项处理技术屏弃了以往环境处理技术沿用的生产末端处理路线.根据啤酒生产工艺特点,在全面分析,平衡工艺废水的特性,数量及排放规律的基础上提出综合治理方案,着重于从废水中提取有用物质和能源,治理过程中把废水当做资源加以利用,而且具有明显低投入高增益的经济效益.装置2年来运行结果证明:核心技术——UASB 高效,实用,易操作,运行稳定居国内领先水平,其主要技术指标达到国内外同类研究的先进水平.该项技术可在啤酒行业及以粮食为原料的其它酿造行业和食品加工业中推广应用,并已被国家科委列为《国家级科技成果重点推广计划》及国家环保局最佳实用技术.     

抗生素制药废水的处理

锦州九泰制药废水属于不易生化类废水，废水量1000m^3/d，污水站总投资140万元。本文阐述了该工程的水质、预处理、生化处理工艺、活性污泥的培养与驯化及运行效果与设计特点。     

A decision tree approach modelling functional group abundance in a pasture ecosystem

Decision tree, one of the data mining approaches, was used to model the relative abundance of five functional groups of plant species, namely high fertility response grasses (HFRG), low fertility tolerance grasses (LFTG), legume, moss and flatweeds in a New Zealand hill-pasture ecosystem using aboveground biomass. The model outputs were integrated with a geographic information system (GIS) to map and validate the predictions on a pasture. The decision tree models clearly revealed the interactions between the functional groups and environmental and management factors, and also indicated the relative importance of these factors in influencing the functional group abundance. Soil Olsen P was the most significant factor influencing the abundance of LFTG and moss, while soil bulk density, slope and annual P fertiliser input were the most significant factors influencing the abundance of legume, HFRG and flatweeds, respectively. Generally, slope and soil Olsen P were the two key factors underlying the patterns of abundance for these five functional groups. For the five functional groups studied, there was an overall predictive accuracy of 75%. Modelling functional group abundance simplified the investigation of the complex interrelationship between species and environment in a pasture ecosystem. The integration of the decision tree with GIS in this study provides a platform to investigate community structure and functional composition for a pasture over space, and thus can be applied as a tool in pasture management.