国家机动车排污控制管理数据库系统

介绍了“国家机动车排污控制管理系统”数据库的研制、特点及使用方法。该数据库存储了大量的城市环境概况、机动车排放因子、排放标准、燃油标准和排放控制对策等信息，能系统、准确的提供国家级相关数据及法律依据，使各级环保部门和政府决策部门能迅速、准确地掌握全国或某城市的有关机动车的静态或动态的污染排放综合情况     

实施总量控制与环境技术市场发展

实施总量控制为环境技术市场的发展创造了条件，对环保产业提出了更高的要求，也将推动环境技术市场竞争正常化。     

北京市二个主要工业区汞污染及其来源的初步研究

为了调查北京市汞污染状况及其来源，选择二个主要工业区石景山区和朝阳区为研究对象．共采集表层土壤２６个，剖面样品４个，对照土壤样品４个，并且在冬季采集降雪样品和枯叶样品，分析汞含量．结果表明，燃煤烟尘排放的汞是北京市汞的主要来源，汽车尾气和化工厂泄漏可使局部汞含量增高，表层土壤中汞含量为００７—２７５ｍｇ／ｋｇ．土壤剖面中的汞含量在０—１００ｃｍ土层中均较高，其含量与土壤有机质和碳酸盐含量正相关．降雪中汞在０７—３７ｍｇ／Ｌ之间，明显高于背景值，其中大部分吸附在颗粒物上．枯叶中汞主要是从土壤吸收，并且有可能被雨水淋溶出来．     

砖瓦厂含氟废气的治理

通过实验选取了一种固氟剂添加到砖坯中后，砖块的存氟率为９１０％，烟道气总氟排放降低率为７６７８％。连续五年的生物检测试验，没有发生任何家蚕氟中毒现象。固氟剂的应用为砖厂含氟废气的治理提供了一条新的途径     

实时尾气检测系统OEM的应用

机动车尾气排放实时检测系统OEM是基于车辆实际行驶路况的新型车载尾气检测系统。该系统突破了传统的定点尾气收集数据的局限性，能够方便快捷地获得不同路段、不同车型、不同时段的以秒为单位的尾气排放数据以及包括速度和加速度在内的瞬间车辆行驶数据。文中对OEM系统的基本原理和方法进行了简单的介绍，并给出了应用该系统在北京市交通网络测试尾气的一些初始结果。     

船舶柴油机NOx后处理技术的进展

根据国内外的降低NOx排放方面最新的成果和科研动态，主要介绍了当前正在研究或者已经应用于实际的有效降低柴油机NOx排放的技术措施，并分析了各种技术方法的特点和在实际应用过程中面临的问题。     

城市交通机动车污染控制研究进展

城市交通机动车污染问题非常复杂，在许多不可控因素，城市交通是一个动态系统，污染物排放量始终处于变化之中，控制城市交通污染，必须严格控制机动车排放，该文介绍了国内外对城市机动车污染控制研究的概况，以及几种城市中污染物扩散的模型，展望了这方面研究前发展趋势，并提出了可持续发展的效能系统设计与管理的新概念。     

Chance-constrained programming (CCP)abatement of SO_2 emission for acid deposition control in Liuzhou City

A deterministic linear programming model which optimizes the abatement of each SO2 emission source, is extended into a CCP form by introducing equations of probabilistic constrained through the incorporation of uncertainty in the source-receptor-specific transfer coefficients. Based on the calculation of SO2 and sulfate average residence time for Liuzhou City, a sulfur deposition model has been developed and the distribution of transfer coefficients have been found to be approximately log-normal. Sulfur removal minimization of the model shows that the abatement of emission sources in the city is more effective, while control cost optimization provides the lowest cost programmes for source abatement at each allowable deposition limit under varied environmental risk levels. Finally a practicable programme is recommended.     

Methodological and Practical Considerations for Developing Multiproject Baselines for Electric Power and Cement Industry Projects in Central America

The Lawrence Berkeley National Laboratory (Berkeley Lab) and the Center for Sustainable Development in the Americas (CSDA) conducted technical studies and organized two training workshops to develop capacity in Central America for the evaluation of climate change projects. This paper describes the results of two baseline case studies conducted for these workshops, one for the power sector and one for the cement industry, that were devised to illustrate certain approaches to baseline setting. Multiproject baseline emission rates (BERs) for the main Guatemalan electricity grid were calculated from 2001 data. In recent years, the Guatemalan power sector has experienced rapid growth; thus, a sufficient number of new plants have been built to estimate viable BERs. We found that BERs for baseload plants offsetting additional baseload capacity ranged from 0.702 kgCO2/kWh (using a weighted average stringency) to 0.507 kgCO2/kWh (using a 10th percentile stringency), while the baseline for plants offsetting load-following capacity is lower at 0.567 kgCO2/kWh. For power displaced from existing load-following plants, the rate is higher, 0.735 kgCO2/kWh, as a result of the age of some plants used for meeting peak loads and the infrequency of their use. The approved consolidated methodology for the Clean Development Mechanism yields a single rate of 0.753 kgCO2/kWh. Due to the relatively small number of cement plants in the region and the regional nature of the cement market, all of Central America was chosen as the geographic boundary for setting cement industry BERs. Unfortunately, actual operations and output data were unobtainable for most of the plants in the region, and many data were estimated. Cement industry BERs ranged from 205 kgCO2 to 225 kgCO2 per metric ton of cement.     

Effects of cultivation on N2O emission and seasonal quantitative variations of related microbes in a temperate grassland soil

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