利用磁信息研究潮滩重金属污染的探讨

本文以长江口潮滩沉积物的系统磁性测量为基础,对照化学分析和粒度分析等数据,初步探讨了潮滩沉积物的磁性特征与重金属元素含量的相关联系及其机理,建立了重金属元素含量与磁参数的定量关系模型,并揭示了长江口潮滩重金属污染的空间特征及其与沉积环境的联系。本项工作成功地探索了利用磁信息研究潮滩重金属污染的技术路线和应用前景,指出了在一定区域内,利用适量样品的磁性测量与重金属元素分析数据,建立其定量回归模型的可行性。从而可以在区域污染调查中,通过广泛的磁数据测量,由经验公式定量地估算不同滩地部分的重金属元素含量,以全面了解潮滩重金属污染的空间分布,分析其规律和机理。由于磁测方法具有快速、简便、经济、易行等特点,它为大范围的潮滩重金属污染研究提供了一项实用有效的辅助手段。     

Using sustainable development indicators as a supplementary measure for the integrated management of environmental information system in Taiwan

Environmental Information System (EIS) transfers environmental data and information to audiences in any field of knowledge or activity interested in environmental problems. Currently, numerous conventional EISs or Environmental Databases (EDs) are available in Taiwan. However, they fail to adequately address the strong correlations among the environmental, social and economic components. Notably, Sustainable Development Indicators (SDIs) combine environmental, social and economic dimensions, as well as illustrate the links among systems. Subsequently, developing a set of SDIs will provide an excellent opportunity to systematically consolidate the information scattered among many archives, as well as promoting an integrated EIS. This work presents an experimental model referred to as the 'Sustainable Development Information System of the Island Taiwan' (SDISIT). This system was developed to assist the integrated management of either EIS or ED. The Factor Analysis Method (FAM) is one tool that may prove useful in easing the developing process. Furthermore, by examining the correlations between the indicators, this method can apply existing SDIs to identify the structure of interrelationships among indicators.     

污水处理工艺系统优化设计理论的研究与发展

综述了污水处理工艺系统优化设计理论研究的发展历史 ,分析总结了优化设计模型研究的发展规律以及需要解决的关键性问题 ;详细介绍了几个具有典型代表性的非线性系统优化模型的结构及寻优方法 ;从 6个特征方面横向比较了部分优化数学模型的研究成果 ;结合国内研究动态提出了对该领域研究前景的展望     

Effects of advanced traffic signal status warning systems on vehicle emission reductions at signalized intersections

Signalized intersections have been identified as vehicle emission hotspots, where drivers decelerate, idle, and accelerate their vehicles in response to signal changes. Advanced traffic signal status warning systems (ATSSWSs) can be applied to reduce traffic emissions at intersections by mitigating unnecessary braking and acceleration. In this study, two types of ATSSWSs, variable message sign (VMS) based and vehicle-to-infrastructure (V2I) based, were designed, and their environmental effectiveness was evaluated through driving simulator-based experiments. Three scenarios were designed and tested: (1) baseline without an ATSSWS, (2) with the VMS-based ATSSWS, and (3) with the V2I-based ATSSWS. The Motor Vehicle Emission Simulator model was used to evaluate and compare the environmental effectiveness of these two types of ATSSWSs. The results indicate that the proposed ATSSWSs can reduce traffic emissions at signalized intersections. In particular, the V2I-based ATSSWS can substantially reduce CO₂, NOx, CO, and HC emissions. The results will help transportation practitioners with implementing advanced driver information systems and decision making on emission reduction policies.

Implications: Signalized intersection has been identified as one of hottest spots for vehicle emissions where signal control causes vehicles to frequently decelerate, idle, and accelerate. Advanced Traffic Signal Status Warning Systems (ATSSWS) can be applied to reduce traffic emission at intersections by decreasing vehicles’ unnecessary brakes and accelerations. The results of this study will assist transportation practitioners in implementing advanced driver information systems and making decisions on emission reduction policies.     

Abatement of sulfur hexafluoride emissions from the semiconductor manufacturing process by atmospheric-pressure plasmas

Sulfur hexafluoride (SF6) is an important gas for plasma etching processes in the semiconductor industry. SF6 intensely absorbs infrared radiation and, consequently, aggravates global warming. This study investigates SF6 abatement by nonthermal plasma technologies under atmospheric pressure. Two kinds of nonthermal plasma processes--dielectric barrier discharge (DBD) and combined plasma catalysis (CPC)--were employed and evaluated. Experimental results indicated that as much as 91% of SF6 was removed with DBDs at 20 kV of applied voltage and 150 Hz of discharge frequency for the gas stream containing 300 ppm SF6, 12% oxygen (O2), and 40% argon (Ar), with nitrogen (N2) as the carrier gas. Four additives, including Ar, O2, ethylene (C2H4), and H2O(g), are effective in enhancing SF6 abatement in the range of conditions studied. DBD achieves a higher SF6 removal efficiency than does CPC at the same operation condition. But CPC achieves a higher electrical energy utilization compared with DBD. However, poisoning of catalysts by sulfur (S)-containing species needs further investigation. SF6 is mainly converted to SOF2, SO2F4, sulfur dioxide (SO2), oxygen difluoride (OF2), and fluoride (F2). They do not cause global warming and can be captured by either wet scrubbing or adsorption. This study indicates that DBD and CPC are feasible control technologies for reducing SF6 emissions.     

Alcaligenes sp.YF11菌对杀灭菊酯的降解机理

测定了降解菌Alcaligenessp.YF11对不同浓度杀灭菊酯的降解及其降解途径。在纯培养系统中,Alcaligenessp.YF11对100mg／L的杀灭菊酯的降解符合零级动力学特征,其降解速率为2．1mg／L·h;50mg／L的杀灭菊酯在24h的降解率为87.5％;10mg／L的杀灭菊酯10h的降解率为71．0％。Alcaligenesso．YF11对杀灭菊酯的降解为矿化作用。     

Response of spinach and kidney bean plants to nitrogen dioxide

Different responses of spinach and kidney bean plants to various concentrations of NO(2) in the light and in the dark were shown. Spinach is more resistant than NO(2) than kidney bean. It is not only due to its greater tolerance to NO(2)(-) accumulated in leaves, but also to its stronger ability to metabolize NO(2)(-). The injury of spinach induced by the exposure to high concentration NO(2) in the light was not caused by the accumulation of NO(2)(-), but concerned the large amount of accumulated NH(3). The primary causes of NH(3) accumulation were that the activity of nitrite reductase was not affected by the fumigation on the one hand, and the activities of glutamine synthetase and glutamate synthase were inhibited on the other.     

利用Fenton试剂预处理间二硝基苯生产废水

间二硝基苯生产废水中含有大量的硝基苯类衍生物，对生物具有毒性，属难生物降解类化合物，本研究利用芬顿试剂对该废水进行处理，废水的CODCr、硝基苯含量（NB）及色度的去除率分别达到60％、88％和82％以上，废水的可生化性得到较大幅度的提高，为后续处理创造了条件。     

A model for non-specific toxicity with aquatic organisms over relatively long periods of exposure time

Experimental data have shown that the internal lethal concentrations of halobenzenes for aquatic organisms decreased with exposure time. In this paper, a model based on the concept of life expectancy reduction was developed to describe this relationship. The model was verified with experimental data for fish (Gambusia affinis) and juvenile crab (Porturius pelagicus(L)). It is proposed that long term non-specific toxicity can be measured as the reduction of the life expectancy of the exposed organism per unit internal concentration (or volume fraction) of the toxic compound. The model can be used to estimate internal lethal concentration at any given exposure period and vice versa. The model can also be used to estimate chronic values of the internal concentration, of the toxicants. It provides a useful tool for assessment of environmental risk of organic compounds in aquatic ecosystems.