河北省海岸带土壤盐渍化研究

在当今土地资源日益短缺的年代,作为一种土地资源,盐渍化土地越来越重要,越来越受到社会的普遍关注。本文通过分层采集土样,对整个河北省海岸带的土壤盐渍化进行了研究,在借鉴国内外先进经验的基础上,提出了土壤盐渍化防治和综合利用应视各国、各地具体情况而定,并指出盐渍土未来的研究趋势应以利用新技术、探寻新的改良方法及与农业生态和环境保护研究密切线合这三个方面为主。     

A statistical analysis of the carbon dioxide capture process

Post combustion carbon dioxide (CO₂) capture is one of the most commonly adopted technologies for reducing industrial CO₂ emissions, which is now an important goal given the widespread concern over global warming. Research on amine-based CO₂ capture has mainly focused on improving effectiveness and efficiency of the CO₂ capture process. Our research work focuses on studying the relationships among the significant parameters influencing CO₂ production because an enhanced understanding of the intricate relationships among the parameters involved in the process is critical for improving efficiency of the CO₂ capture process. This paper presents a statistical study that explores the relationships among parameters involved in the amine-based post combustion CO₂ capture process at the International Centre for CO₂ Capture (ITC) located in Regina, Saskatchewan of Canada. A multiple regression technique has been applied for analysis of data collected at the CO₂ capture pilot plant at ITC. The parameters have been carefully selected to avoid issues of multicollinearity, and four mathematical models among the key parameters identified have been developed. The models have been tested, and accuracy of the models is found to be satisfactory. The models developed in this study describe part of the CO₂ capture process and can help to predict performance of the CO₂ capture process at ITC under different conditions. Some results from a preliminary validation process will also be presented.     

废聚碳酸酯水解法制双酚A

以1,4-二氧六环为溶剂、NaOH为催化剂,采用废聚碳酸酯(PC)常压水解法制双酚A(BPA).对反应影响因素进行了研究.实验结果表明,在反应温度为100℃、反应时间为8h、m(NaOH):m(水+溶剂)=1:33、m(溶剂):m(PC)=4:1、m(水):m(PC)=1:1的最佳反应条件下,PC水解率大于98%,BPA收率大于95%.     

利用含铬废水和含铅废水制备铬黄

利用净化后的含铬废水和含铅废水制备铬黄.采用沉淀法对废水进行净化预处理,最佳工艺条件:100mL含铬废水中加入20 g Na_2CO_3,及10 mL H_2O_2,用NaOH调节含铬废水pH为10.00;用NaOH调节含铅废水pH为2.65.将净化后的10 mL含铬废水和25 mL含铅废水混合,在55-60℃条件下反应10 min,合成的铬黄达到GB/T 3184-2008<铬酸铅颜料和钼铬酸铅颜料>的质量标准.经重金属吸附剂处理Pb~(2+)后铬黄合成滤液中的Cr~(6+)和Pb~(2+)质量浓度均达到GB8978-1996<污水综合排放标准>的指标.     

影响脱硫系统运行经济性的因素及改进措施

分析了原烟气成分、脱硫剂石灰石等对脱硫系统运行经济性的影响,探讨循环泵组合投运和工艺参数控制对运行经济性的影响规律,提出改进湿法脱硫系统运行经济性的措施,为脱硫装置的节能、经济运行提供参考。     

基于微观仿真的同站台换乘站客流疏散研究

旨在对同站台换乘站的客流行为和规律,以及对车站乘客疏散时的情况进行分析和研究。通过建立同站台换乘站的微观疏散仿真模型,利用微观仿真软件VISSIM对某即将建成使用的同站台换乘站的仿真模拟,直观地对客流的疏散过程和疏散人群分布状况进行动态观察,通过改变模型的参数设置,考察不同情况下换乘站的换乘效率,得出提高换乘效率的措施和建议,并最终为换乘站的设施设计和运营管理提供辅助设计与决策支持。     

Climate change, urban air problems and transport policy in the European Union

This paper surveys some recent studies on conventional air pollution and climate change in the transport sector in Europe. Fuel efficiency standards, car emission standards and transport pricing instruments are analysed from an economic perspective taking into account environmental and economic efficiency objectives. This revised version was published online in July 2006 with corrections to the Cover Date.     

新疆城市污水处理方式及利用途径初探

奎屯市城市污水的处理现阶段采用一级处理后接生物稳定塘的处理工艺是较为适宜的,但要注意做好污水及处理水的排放监测,加强排水管理,今后要逐步完善为规范的二级处理工艺。对污水处理要制定切实可行的水污染防治规划,不拘泥于现有的排水方案和污水处理厂选址,在污水厂下游建设规范的污水库作为处理水资源化利用的必要措施。我区多数城市水污染防治路线与奎屯市有着相似性,对各城市污水处理方式及利用途径可采用此方法进行深入细致的研究论证,为未来城市污水的有效处理及无害化、资源化利用打下基础。     

Heavy metals in untreated/treated urban effluent and sludge from a biological wastewater treatment plant

Background, Aim and Scope

The presence of heavy metals in wastewater is one of the main causes of water and soil pollution. The aim of the present study was to investigate the removal of Cd, Cu, Pb, Hg, Mn, Cr and Zn in urban effluent by a biological wastewater treatment, as well as to quantify the levels of As, Be, Cd, Cr, Cu, Fe, Hg, Mn, Ni, Pb, Sn, Tl, V and Zn in dewatering sludge from the Biological Wastewater Treatment Plant to Ribeirão Preto (RP-BWTP), Brazil.

Materials and Methods

Concentrations of Cd, Cr, Cu, Mn and Pb in wastewater and those of Ni in sludge were determined by atomic absorption spectrophotometry with graphite furnace atomization. Mercury concentrations in wastewater were measured by hydride generation atomic spectrophotometry, and Zn levels were determined by atomic absorption spectrophotometry using acetylene flame. In sludge, the levels of As, Be, Cd, Cr, Cu, Fe, Hg, Mn, Pb, Sn, Tl, V and Zn were determined by inductively coupled plasma-mass spectrometry.

Results

The percentages of removal efficiency (RE) were the following: Hg 61.5%, Cd 60.0%, Zn 44.9%, Cu 44.2%, PB 39.7%, Cr 16,5% and Mn 10.4%. In turn, the mean concentrations (mg/kg) of metals in dewatering sludge followed this increasing order: Tl (<0.03), Hg (0.31), Be (0.43), As (1.14), Cd (1.34), V (59.2), Pb (132.1), Sn (166.1), Cr (195.0), Mn (208.1), Ni (239.4), Cu (391.7), Zn (864.4) and Fe (20537).

Discussion

The relationship between metal levels in untreated wastewater, as well as the removal efficiency are in agreement with previous data from various investigators, It is important to note that metal removal efficiency is not only affected by metal ion species and concentration, but also by other conditions such as operating parameters, physical, chemical, and biological factors.

Conclusions

Metal values recorded for treated wastewater and sludge were within the maximum permitted levels established by the Environmental Sanitation Company (CETESB), São Paulo, Brazil.

Recommendations

There is an urgent need for the authorities who are responsible for legislation on sludge uses in agriculture of establishing safety levels for As, Be, Hg, Sn, Tl and V.

Perspectives

According to the current metal levels, RP-BWTP sludge might be used for agriculture purposes. However, for an environmentally safe use of sewage sludge, further studies including systematic monitoring are recommended. Annual metal concentrations and predicted variations of those elements in the sludge should be monitored.

     

Assisting Australian indigenous resource management and sustainable utilization of species through the use of GIS and environmental modeling techniques

Information on distribution and relative abundance of species is integral to sustainable management, especially if they are to be harvested for subsistence or commerce. In northern Australia, natural landscapes are vast, centers of population few, access is difficult, and Aboriginal resource centers and communities have limited funds and infrastructure. Consequently defining distribution and relative abundance by comprehensive ground survey is difficult and expensive. This highlights the need for simple, cheap, automated methodologies to predict the distribution of species in use, or having potential for use, in commercial enterprise. The technique applied here uses a Geographic Information System (GIS) to make predictions of probability of occurrence using an inductive modeling technique based on Bayes' theorem. The study area is in the Maningrida region, central Arnhem Land, in the Northern Territory, Australia. The species examined, Cycas arnhemica and Brachychiton diversifolius, are currently being 'wild harvested' in commercial trials, involving sale of decorative plants and use as carving wood, respectively. This study involved limited and relatively simple ground surveys requiring approximately 7 days of effort for each species. The overall model performance was evaluated using Cohen's kappa statistics. The predictive ability of the model for C. arnhemica was classified as moderate and for B. diversifolius as fair. The difference in model performance can be attributed to the pattern of distribution of these species. C. arnhemica tends to occur in a clumped distribution due to relatively short distance dispersal of its large seeds and vegetative growth from long-lived rhizomes, while B. diversifolius seeds are smaller and more widely dispersed across the landscape. The output from analysis predicts trends in species distribution that are consistent with independent on-site sampling for each species and therefore should prove useful in gauging the extent of resource availability. However, some caution needs to be applied as the models tend to over predict presence which is a function of distribution patterns and of other variables operating in the landscape such as fire histories which were not included in the model due to limited availability of data.