考虑声散射的街道交通噪声预报模型

提出一种预报典型的两侧密集分布建筑物的城市街道交通噪声ＬＡ１０和ＬＡｅｑ声级的计算机仿真模型。模型依据一种修正的虚声源原理。它不仅考虑发生于建筑方面的镜象反射和表面吸收，而且考虑了由于墙面的粗糙性所引起的发生于有限尺寸建筑表面声散射的影响。与实测比较表明本模型可得出良好的预报结果。通过对散射强度加以变化可估计表面声散射对预报声级的影响。结果表明，即使在一个相当混响的场合，镜象反射声能对扩散反射声能     

光合细菌与酵母跨界融合(杂合)子发酵味精废水研究

光合细菌球形红假单胞菌（Ｒｈｏｄｏｐｓｅｕｄｏｍｏｎａｓ ｓｐｈａｅｒｏｉｄｅｓ）酿酒酵母（Ｓａｃｃｈａｒｏｍｙｃｅｓ ｃｅｒｅｖｉｓｉａｅ）细胞分别经溶菌酶和蜗牛酶脱壁形成原生质体，在聚乙二醇（ＰＥＧ）和Ｃａ＾２＋诱导下实现了真核与原核细胞的超远缘杂交，经抗菌素培养基初步鉴定，融合产物能同时在含有链霉素和制霉菌素的培养基中生长，而双亲细胞只能在含有单一抗菌素的培养基中生长，经初筛与得获得高絮弟性     

Effect of domestic sewage on growth of phytoplankton-mathematical model

A mathematical model relating to the change in phytoplankton biomass in the period of growth and nutrient concentration in the media was proposed on the basis of the Monod equation and was testified by simulation experiments. Analysis of the experiment data showed that: the half-saturation constants for growth Kp (μmol/L) for Skeletonema, Chaetoceros and Prorocentrum were 5.52, 1.90 and 0.46, respectively; the balance between stimulation of nutrients and the inhibition of some other materials was found in the effect of domestic sewage on algal growth and the stimulation played a leading role; domestic sewage was more stimulative on dinoflag-ellate than on diatom and chlorophyte when the assemblage of the algae was cultured. The experiment suggested that mathematical model reasonably explained the characteristics of phytoplankton growth in different nutrient conditions and was worthy to be further improved for eutrophication prediction in off-shore water.     

生态系统与人类福祉:工商业的机遇与挑战

工商业在两个方面与生态系统和生态系统服务相互联系：它们使用各种服务。同时促成生态系统的变化。“千年评估”发现。评估涉及的生态系统服务中。有2／3的服务功能正在退化或被人们以非持续的方式利用。这对整个世界来说具有普遍的严重后果，它将从三个主要方面影响工商业。     

中国加入WTO与上海的环境保护

中国加入世贸组织给上海环境带来很多机遇，如可加速产业结构调整、引进国际环保投资和先进的环境治理技术，但同时也给上海环境保护带来了挑战。为了应对挑战，上海必须加快环境法制建设、环境经济政策的研究和制定、加快人才培养，并提高企业的环境意识和产品的环境标准。     

GIS在环境监测数据管理分析中的应用

根据环境监测的特点和地理信息系统(GIS)所具备的功能,讨论了GIS与环境监测结合的必要性,按照环境监测的目的不同分环境质量监测、污染源监督监测和应急监测三个方面阐述GIS在环境监测数据管理分析中的具体应用,并利用现有的一些基于GIS的环境监测信息系统实例进行进一步说明GIS在环境监测数据管理分析中的应用,充分发挥了GIS空间信息表达处理及综合分析的优势,使得环境监测数据的管理分析更加快速、实时、有效.随着GIS技术的发展,GIS在环境监测数据管理分析中的应用也将获得源源不绝的驱动力.     

Life cycle analysis and choice of natural gas-based automotive alternative fuels in Chongqing Municipality,China

Road transport produces significant amounts of emissions by using crude oil as the primary energy source. A reduction of emissions can be achieved by implementing alternative fuel chains. The objective of this study is to carry out an economic, environmental and energy (EEE) life cycle study on natural gas-based automotive fuels with conventional gasoline in an abundant region of China. A set of indices of four fuels/vehicle systems on the basis of life cycle are assessed in terms of impact of EEE, in which natural gas produces compressed natural gas (CNG), methanol, dimethylether (DME) and Fischer Tropsch diesel (FTD). The study included fuel production, vehicle production, vehicle operation, infrastructure and vehicle end of life as a system for each fuel/vehicle system. A generic gasoline fueled car is used as a baseline. Data have been reviewed and modified based on the best knowledge available to Chongqing local sources. Results indicated that when we could not change electric and hydrogen fuel cell vehicles into commercial vehicles on a large scale, direct use of CNG in a dedicated or bi-fuel vehicle is an economical choice for the region which is most energy efficient and more environmental friendly. The study can be used to support decisions on how natural gas resources can best be utilized as a fuel/energy resource for automobiles, and what issues need to be resolved in Chongqing. The models and approaches for this study can be applied to other regions of China as long as all the assumptions are well defined and modified to find a substitute automotive energy source and establish an energy policy in a specific region.     

基于政府-公众-企业协同的生态经营管理是欠发达地区可持续发展的关键

生态建设的生态效益转换的经济效益的转换速度，转换数量，转换成本，转换难易等直接影响生态建设的活力，效率和可持续发展，将生态效益转换的经济效益生态经营在其中起到关键作用，本文开创性探讨生态经营起因，内涵，功能，内容，技术，方法，手段等，为培育欠发达地区生态经营意识，能力，增强可持续发展能力指明了方向。     

用神经网络辨识化学强化一级处理系统

运用实验室得到的数据为样本 ,选取了CODCr和絮凝剂投加量为指标 ,采用三层结构的神经网络 ,利用Matlab的神经网络工具箱中的批处理梯度下降法对CEPT系统经行辨识。辨识结果表明 :模型的预测值与实测值的平均误差在 3 .7%左右 ,具有较高的精度。同时 ,该模型还具有适应性强 ,使用方便 ,高效的特点 ,为CEPT系统的在线实时控制提供了一条有效的途径。