横向流中曝气气泡生成动力学及模拟研究

采用水平集方法和变物性的单一流体运动方程,结合显式时间步进的ICE数值算法,三维模拟了推流式曝气池内气泡的生成过程.重点研究了横向水流对曝气气泡生成动力学的影响.模拟的气泡形状演变过程与国外学者的可视化实验符合较好.模拟结果显示,与在静止水流中气泡的生成相比,曝气池内水横向流动对气泡的生成过程有重要的影响.由于受到水流施加的横向曳力作用,气泡逐渐倾斜向下游生长;气泡生成的时间明显缩短;生成气泡的体积也显著地减小.     

冬季动态槽式堆肥温度的空间变异

以鲜鸡粪、蘑菇渣和污泥按照体积比3∶1∶1混合进行动态堆肥模拟试验.堆肥槽沿物料前进方向分为7个部分,对每个部分按等间距分别做5个水平方向上切分和5个垂直方向上切分,在形成的125个交叉点上进行温度监测.研究结果表明,第1天的混合物料温度在同一层中变异很小,不同层之间略有差异.随着动态过程的进行,同一层温度变异逐渐增大,从第一天相差1～3℃,增加到相差30～40℃,靠近墙体的堆料温度较低,远离墙体的温度较高.随着堆肥时间延长,差异增大.机械翻堆能起到通风的作用,同时使每一个堆方的堆料在纵向方向上上下混合,但达不到横向混匀,因此,靠近墙体两侧的堆料始终处于较低的温度,只有中部能达到较高的温度,以堆肥温度50℃作为无害化指标,自墙体向中心方向的1m为没有达到无害化厚度,无害化体积占堆肥总体积50%.整个动态堆肥过程符合二级动力学方程.     

生物表面活性剂产生菌犁头霉菌(Absidia orchidis)的筛选及发酵条件优化

采用植物油为唯一碳源,设计选择培养基,从饭店下水道污泥中筛选出生物表面活性剂产生菌.结果分离到12株菌,其中一株能使发酵液的表面张力值从68 mN·m-1降低到34.5 mN·m-1,具有开发潜力,被选出作进一步的研究.该菌株经鉴定为犁头霉菌(Absidia orchidis).通过正交试验对犁头霉菌的培养条件进行优化,其优化培养条件为:植物油3.6 g·L-1,KH2PO412.1 g·L-1,Na2HPO45 g·L-1,(NH4)2SO4 1 g·L-1,NaNO32 g·L-1,酵母浸膏0.1 g·L-1,MgSO4·7H2O 0.15 g·L-1,NaCl 5 g·L-1,CaCl2 0.1 g·L-1,EDTA 1 g·L-1,KI 0.83μg·L-1,H3PO4 0.01μg·L-1,CoCl2·6H2O 0.048μg·L-1,MnSO4·H2O 0.312μg·L-1,Na2 MoO4·2H2O 0.048μg·L-1,ZnCl2 0.287μg·L-1,CuSO4·5H2O 0.125μg·L-1,初始pH值8,接种量6%.发酵70h时可获得生物表面活性剂的最大收获量,此时发酵液中生物表面活性剂的相对浓度达402倍.     

Fe3+掺杂TiO2薄膜的制备及光催化降解甲醛的研究

采用溶胶-凝胶法制备Fe3+掺杂的TiO2薄膜光催化剂,进行甲醛的光催化实验,考察Fe3+掺杂量、薄膜焙烧温度及溶胶体系pH值对光催化性能的影响。结果表明,Fe3+掺杂量为1.0%,焙烧温度500℃1h,加硝酸溶胶体系pH=4时,Fe3+掺杂TiO2薄膜光催化活性最高。     

SBR法处理豆制品废水工艺条件的研究

用SBR法处理豆制品废水的试验表明,该系统具有较好的抗负荷冲击能力,进水COD在300～2000 mg/L之间变化,对系统不造成任何影响;考察了曝气时间、曝气量和污泥浓度等对去除效果的影响,试验结果表明,曝气时间和曝气量对处理效果影响很大,确定该反应系统最佳曝气时间是8 h,适宜的曝气量是800 L/h,而污泥浓度控制在4000 mg/L左右时,处理效率最高,采用进水顶出水的排水方式是可行的,确定系统的最佳排水比是3/5.厌氧段的插入可以减少剩余污泥的产量.     

高浊度污水快速净化新技术

介绍了一种快速净化高浊度污水的新技术,该技术根据化学强化一级处理(chemically enhanced primary treatment,CEPT)技术、闪速混合(flash mixing)技术、旋流和点涡流絮凝技术、悬浮泥层过滤技术和过滤水力学原理等理论,采用物理化学法去除污水中的有机污染物和其他有害杂质,其有着流程简单可靠、投资和运行费用低、占地少、净化效果好的优势.     

重金属离子存在下腐植酸和芘之间的相互作用

建立并验证了腐植酸(HA)和芘结合常数(Koc)测定的荧光猝灭法,进而研究了重金属离子对HA和芘相互作用的影响,测定了重金属离子存在下HA和芘之间的Koc.结果表明:纯化后的HA是分子质量较小的部分,水溶性较高,具有羟基、羧基和碳氧键等极性基团;HA利用其分子中的羟基、羧基、碳氧键等基团和重金属离子产生络合作用,这种络合作用影响了HA的结构;随着重金属离子浓度的增大,Koc遵循先增大,再减小,最后趋于不变的趋势.     

Discovering meaningful information from large amounts of environment and health data to reduce uncertainties in formulating environmental policies

This study uses knowledge discovery concepts to analyze large amounts of data step by step for the purpose of assisting in the formulation of environmental policy. We performed data cleansing and extracting from existing nation-wide databases, and used regression and classification techniques to analyze the data. The current water hardness in Kaohsiung, Taiwan contributes to the prevention of cardiovascular disease (CVD) but exacerbates the development of renal stones (RS). However, to focus on water hardness alone to control RS would not be cost effective at all, because the existing database parameters do not adequately allow for a clear understanding of RS. Analysis of huge amounts of data can most often turn up the most reliable and convincing results and the use of existing databases can be cost-effective.     

Using Relative Risk to Compare the Effects of Aquatic Stressors at a Regional Scale

The regional-scale importance of an aquatic stressor depends both on its regional extent (i.e., how widespread it is) and on the severity of its effects in ecosystems where it is found. Sample surveys, such as those developed by the U.S. Environmental Protection Agency’s Environmental Monitoring and Assessment Program (EMAP), are designed to estimate and compare the extents, throughout a large region, of elevated conditions for various aquatic stressors. In this article, we propose relative risk as a complementary measure of the severity of each stressor’s effect on a response variable that characterizes aquatic ecological condition. Specifically, relative risk measures the strength of association between stressor and response variables that can be classified as either “good” (i.e., reference) or “poor” (i.e., different from reference). We present formulae for estimating relative risk and its confidence interval, adapted for the unequal sample inclusion probabilities employed in EMAP surveys. For a recent EMAP survey of streams in five Mid-Atlantic states, we estimated the relative extents of eight stressors as well as their relative risks to aquatic macroinvertebrate assemblages, with assemblage condition measured by an index of biotic integrity (IBI). For example, a measure of excess sedimentation had a relative risk of 1.60 for macroinvertebrate IBI, with the meaning that poor IBI conditions were 1.6 times more likely to be found in streams having poor conditions of sedimentation than in streams having good sedimentation conditions. We show how stressor extent and relative risk estimates, viewed together, offer a compact and comprehensive assessment of the relative importances of multiple stressors.     

Dams in the Amazon: Belo Monte and Brazil’s Hydroelectric Development of the Xingu River Basin

Hydroelectric dams represent major investments and major sources of environmental and social impacts. Powerful forces surround the decision-making process on public investments in the various options for the generation and conservation of electricity. Brazil’s proposed Belo Monte Dam (formerly Kararaô) and its upstream counterpart, the Altamira Dam (better known by its former name of Babaquara) are at the center of controversies on the decision-making process for major infrastructure projects in Amazonia. The Belo Monte Dam by itself would have a small reservoir area (440 km²) and large installed capacity (11, 181.3 MW), but the Altamira/Babaquara Dam that would regulate the flow of the Xingu River (thereby increasing power generation at Belo Monte) would flood a vast area (6140 km²). The great impact of dams provides a powerful reason for Brazil to reassess its current policies that allocate large amounts of energy in the country’s national grid to subsidized aluminum smelting for export. The case of Belo Monte and the five additional dams planned upstream (including the Altamira/Babaquara Dam) indicate the need for Brazil to reform its environmental assessment and licensing system to include the impacts of multiple interdependent projects.