高压脉冲放电降解水中苯乙酮的研究

进行了高压脉冲放电降解水中苯乙酮的实验,2.1×10^-3M苯乙酮溶液放电处理30min,苯乙酮的最高降解率达92％,另外还探讨了苯乙酮降解途径及气体的存在对放电效果和苯乙酮降解率的影响．研究表明,用高压脉冲放电处理有机废水是可行的．     

建立我国战略环境评价理论与方法体系

战略环境评价是环境影响评价在战略层次上的应用，是具体落实可持续发展战略的重要工具。在分析其现实意义的基础上，提出我国战略环境评价理论与方法体系的主要研究内容，就建立我国战略环境评价理论与方法提出建议。     

高浓印染废水处理工程的设计审计与运行结果分析

通过对漂染厂生产工艺过程及排废状况进行审计研究，提出了有针对性的废水处理工艺流程，区别对待废水浓度、污染物成分、化学作用及其工艺原理，实现了废水处理各工艺段的适配与综合节能的协调，在保证废水高效达标处理的前提下使工程优化     

用CBMN法评价4-氯酚与富里酸对CHO细胞的毒性效应

用ＣＨＯ细胞和ＣＢＭ法对４－ＣＰ（４－氯）及春ＦＡ协同作用的细胞毒性效应进行了评价,选用的细胞学毒性参数为总微核率（ＭＮ）、含微核的双核细胞率（ＢＮＭＮ）、核分鲜明指数（ＮＯＩ）和南分裂阻断增殖指数（ＣＢＰＩ）,结果表明：ＦＡ单独处理与阴性对照组比较不引起显著性差异;４－Ｃ客ＦＡ联合处理与４－ＣＰ各浓度分别处理相比有显著性的差异;对于ＢＮＭＮ和ＮＤＩ,Ｐ〈０．０１;对于ＭＮ和ＣＢＰＩ,Ｐ〈０．０５     

Results of a questionnaire investigation on the management of environmental issues during conceptual design. A case study of two large made-to-order companies

This paper investigates the current treatment of environmental issues by two companies within the large made-to-order sector. Fifty questionnaires were issued to the design team of each company to assess current practice in the integration of environmental issues with design activities, awareness of environmental issues, awareness of existing environmental design tools and the preferred format for a potential clean design tool.     

Framing an independent,integrated and evidence-based evaluation of the state of Australia's biophysical and human environments

A new approach was developed for Australia's 2011 national State of the Environment (SoE) report to integrate the assessment of biophysical and human elements of the environment. A Common Assessment and Reporting Framework (CARF) guided design and implementation, responding to jurisdictional complexity, outstanding natural diversity and ecosystem values, high levels of cultural and heritage diversity, and a paucity of national-scale data. The CARF provided a transparent response to the need for an independent, robust and evidence-based national SoE report. We conclude that this framework will be effective for subsequent national SoE assessments and other integrated national-scale assessments in data-poor regions.     

AHP based life cycle sustainability assessment (LCSA) framework: a case study of six storey wood frame and concrete frame buildings in Vancouver

Construction and building industry is in dire need for developing sustainability assessment frameworks that can evaluate and integrate related environmental and socioeconomic impacts. This paper discusses an analytic hierarchy process (AHP) based sustainability evaluation framework for mid-rise residential buildings based on a broad range of environmental and socioeconomic criteria. A cradle to grave life cycle assessment technique was applied to identify, classify, and assess triple bottom line (TBL) sustainability performance indicators of buildings. Then, the AHP was applied to aggregate the impacts into a unified sustainability index. The framework is demonstrated through a case study to investigate two six storey structural systems (i.e. concrete and wood) in Vancouver, Canada. The results of this paper show that the environmental performance of a building in Canada, even in regions with milder weather such as Vancouver, is highly dependent on service life energy, rather than structural materials.     

Investigation of Nanoparticle Additives to Biodiesel for Improvement of the Performance and Exhaust Emissions in a Compression Ignition Engine

Worldwide energy demand has been growing steadily during the past five decades and most experts believe that this trend will continue to rise. The amount of emitted harmful emission gases increases in parallel with increasing energy consumption. This increase has forced many countries to take various precautions, and various restrictions on emitted emissions have been carried. In this study, effects of addition of oxygen containing nanoparticle additives to biodiesel on fuel properties and effects on diesel engine performance and exhaust emissions were investigated. Two different nanoparticle additives, namely MgO and SiO₂, were added to biodiesel at the addition dosage of 25 and 50 ppm. Fuel properties, engine performance, and exhaust emission characteristics of obtained modified fuels were examined. As a result of this study, engine emission values NO_x and CO were decreased and engine performance values slightly increased with the addition of nanoparticle additives.     

Modelling and Prediction of Diesel Engine Performance using Relevance Vector Machine

Diesel engines are being increasingly adopted by many car manufacturers today, yet no exact mathematical diesel engine model exists due to its highly nonlinear nature. In the current literature, black-box identification has been widely used for diesel engine modelling and many artificial neural network (ANN) based models have been developed. However, ANN has many drawbacks such as multiple local minima, user burden on selection of optimal network structure, large training data size, and over-fitting risk. To overcome these drawbacks, this article proposes to apply an emerging machine learning technique, relevance vector machine (RVM), to model and predict the diesel engine performance. The property of global optimal solution of RVM allows the model to be trained using only a few experimental data sets. In this study, the inputs of the model are engine speed, load, and cooling water temperature, while the output parameters are the brake-specific fuel consumption and the amount of exhaust emissions like nitrogen oxides and carbon dioxide. Experimental results show that the model accuracy is satisfactory even the training data is scarce. Moreover, the model accuracy is compared with that using typical ANN. Evaluation results also show that RVM is superior to typical ANN approach.     

Optimal Absorbent Evaluation for the CO2 Separating Process by Absorption Loading,Desorption Efficiency,Cost, and Environmental Tolerance

The CO₂ absorption capacities of potassium glycinate, potassium sarcosinate (choline, proline), mono-ethanolamine (MEA), and tri-ethanolamine were evaluated to find the optimal absorbent for separating CO₂ from gaseous products by a CO₂ purification process. The absorption loading, desorption efficiency, cost, and environmental tolerance were assessed to select the optimal absorbent. MEA was found to be the optimum absorbent for separating the CO₂ and H₂ mixture in gaseous product. The maximum absorption loading rate was 0.77 mol CO₂ per mol MEA at temperature of 20°C and absorbent concentration of 2.5 mol/L, whereas desorption efficiency was 90% by heating for 3 h at 130°C. MEA was found to be an optimal absorbent for the purification process of CO₂ during gaseous production.