废水中对—氨基苯酚的电位溶出法测定

采用Nafion修饰电极,以微分计时电位溶出法分析测定废水中对—氨基苯酚(PAP)。在选定的条件下,PAP的测定范围在1.0μ～0.5mmol/l之间;最低检测浓度为0.1μmol/l;标准偏差为1.6％:方法的回收率为92.5％～96.5％。     

开发和利用环保科技成果治理环境污染

介绍了大庆石化总厂开发和利用环保科技成果治理环境污染，并提出了该厂今后的环保技术攻关项目。     

用于燃料电池的甲醇水蒸气重整反应制氢的研究

研究了甲醇水蒸气重整制氢反应过程中各种因素对Cu／ZnO／Al2O3催化剂的活性和选择性的影响。结果表明：Cu／Zn比为2．0的催化剂在250℃反应时，催化剂效果较好，最合适反应条件是：压力0．1MPa，温度250℃，n(H2O)：n(CH3OH)=1．0-1．2，液体流速0．1mL／min。在Cu／ZnO／Al2O3)，催化剂上，甲醇水蒸气重整、甲醇分解和水气转换反应随反应条件的不同而发生相互抑制或促进作用。     

印刷线路板厂含铜污泥固化处理工艺研究

研究采用水泥作固化基材固化处理某印刷线路板厂酸性废水用石灰混凝所产生的含铜、锡、金的污泥 ,对固化块在不同 pH的水中重金属Cu2 +的浸出实验结果表明 :水泥固化处理该混凝污泥效果良好 ,控制合适的条件 ,可得到混合性能好、初凝时间适当、抗压强度较好的固化块。Cu2 +的浸出率低于允许浸出浓度。混凝过程中加入硫脲硅酸钠等助剂 ,可提高固化效果。研究还对几种不同配比的固化块抗压强度进行了探讨。     

环境影响综合评价灰色层次模型研究

针对水电工程环境影响综合评价问题，应用拓展的灰关联理论和最小二乘准则，建立了环境影响综合评价的灰色层次模型。以东江水电工程环境影响综合评价为实例说明了该模型的合理性、可信性。结果表明：此基工程使环境总体向理想的１８．１％     

静电除尘电源的发展

静电除尘电源是静电除尘系统中的关键部分,其性能直接影响除尘器的除尘效果,以静电除尘电源在节能和提高除尘效率上的关键因素为基础,对静电除尘电源的发展进行分析研究。具体阐述了静电除尘电源经历了由单相供电向三相供电、工频调压向高频逆变以及单一供电模式向混合供电模式3条较为明显的发展脉络,指出高频静电除尘电源具有控制方式灵活、输出高电压波形可控、闪络后关闭速度快和重启迅速等优点,是当今静电除尘电源的主要研究发展方向。     

Water level response to hydropower development in the upper Mekong River

Environmental changes and their transboundary influences on the Mekong watercourse system have been an international research focus in recent years, but the opinions and results related to the impacts of upper Mekong River dams are quite different. In this paper, based on the records of water levels from 1960 to 2003 at three mainstream sites in the upper Mekong River, a quantitative examination has been undertaken into characteristics of the mainstream water-level process at multiple timescales and its response to cascade development. The major results are: i) Annual mean, wet period mean, and the mean water levels during the period between March and April (PBMA period) exhibit a significant increasing trend at Jiuzhou and Yunjinghong sites, which are influenced by large-scale factors such as climate change and solar activity. ii) The interdecadal and interannual variations of annual mean, annual maximum, and wet period mean water levels at three sites show similar features during the dam construction period. iii) The interdecadal variations of PBMA period water level show a gradual increase at Gajiu and Yunjinghong sites but a falling trend at Jiuzhou; these trends confirm that there is some regulation on the flow in the dry season caused by the two existing dams. iv) The downstream effects of the present dams on water levels are very limited at the annual mean and wet season mean levels, not apparent at the monthly and yearly timescales, and relatively significant at daily and hourly timescales.     

Application of artificial neural network approach and remotely sensed imagery for regional eco-environmental quality evaluation

Eco-environment quality evaluation is an important research theme in environment management. In the present study, Fuzhou city in China was selected as a study area and a limited number of 222 sampling field sites were first investigated in situ with the help of a GPS device. Every sampling site was assessed by ecological experts and given an Eco-environment Background Value (EBV) based on a scoring and ranking system. The higher the EBV, the better the ecological environmental quality. Then, three types of eco-environmental attributes that are physically-based and easily-quantifiable at a grid level were extracted: (1) remote sensing derived attributes (vegetation index, wetness index, soil brightness index, surface land temperature index), (2) meteorological attributes (annual temperature and annual precipitation), and (3) terrain attribute (elevation). A Back Propagation (BP) Artificial Neural Network (ANN) model was proposed for the EBV validation and prediction. A three-layer BP ANN model was designed to automatically learn the internal relationship using a training set of known EBV and eco-environmental attributes, followed by the application of the model for predicting EBV values across the whole study area. It was found that the performance of the BP ANN model was satisfactory and capable of an overall prediction accuracy of 82.4%, with a Kappa coefficient of 0.801 in the validation. The evaluation results showed that the eco-environmental quality of Fuzhou city is considered as satisfactory. Through analyzing the spatial correlation between the eco-environmental quality and land uses, it was found that the best eco-environmental areas were related to forest lands, whereas the urban area had the relatively worst eco-environmental quality. Human activities are still considered as a major impact on the eco-environmental quality in this area.     

高架路桥的震害、震害原因及抗震措施

对近年来美、日等国的高架道路和高架桥梁所遭受到的地震破坏以及破坏原因进行了概述,对其在高架路桥的规划、设计、施工过程中所要取的抗震措施作了介绍。     

Sorption of polar and nonpolar aromatic compounds to four surface soils of eastern China

Improved predictions on the fate of organic pollutants in surface environments require a better understanding of the underlying sorption mechanisms that control their uptake by soils. In this study, we monitored sorption of nine aromatic compounds with varying physicochemical properties (hydrophobicity, electron-donor/acceptor ability and polarity), including two polycyclic aromatic hydrocarbons, two chlorobenzenes, two nitroaromatic compounds, dichlobenil, carbaryl and 2,4-dichlorophenol in aqueous suspension of four surface soils of eastern China. The tested soils were characterized with respect to organic carbon (OC) content, black carbon content, mineralogy, morphology and size fraction to assess the role of the diverse soil characteristics in sorption. The results of this study show that not only the solute hydrophobicity and the OC content of soil are important to the retention of organic pollutants, but also the solute molecular structure and the soil nature.