γ-Al2O3负载多金属复合催化剂选择性催化还原烟气脱硝

以γ-Al₂O₃作为载体,先后负载CeO₂,MnC₂O₄,Fe（NO₃）₃,CrO₃,Ni（NO₃）₂,NH₄VO₃等多种金属组分制备γ-Al₂O₃负载多金属复合催化剂,并用于模拟烟气的选择性催化还原脱硝。通过SEM和XRD技术对催化剂进行了表征。表征结果显示：Fe,Mn,Cr的添加能增加催化剂的低温催化活性、提高催化剂的N₂选择性;γ-Al₂O₃对活性金属氧化物的负载效果良好。实验结果表明：各金属化合物的最佳加入量为 w（MnC₂O₄·2H₂O）=20%,w（Fe（NO₃）₃·9H₂O）=15%,w（CrO₃）=10%,w（Ni（NO₃）₂·6H₂O）=5%,w（NH₄VO₃）=10%,w（CeO₂）=5%,w（γ-Al₂O₃）=35%;以在最佳正交实验条件下制得的γ-Al₂O₃负载多金属复合物为催化剂,在脱硝反应温度为205 ℃的条件下,NO转化率为96.7%;γ-Al₂O₃负载多金属复合催化剂经5次重复使用,NO转化率仍可稳定在94%左右。     

燃煤锅炉烟气脱硫废水处理技术研究进展

对目前国内外燃煤锅炉烟气脱硫废水处理的多种方法,如混凝－沉淀法、流化床法、人工湿地法、单质铁法、微滤膜法、生化法和改良混凝－沉淀法等进行了分析评述。研究发现,开发技术集成度大、流程短、药剂种类和用量少、一次性投资以及运营费用低的工艺技术是未来发展的方向,而改良混凝－沉淀法脱硫废水处理技术符合要求,是一项值得加强应用研究和推广的新技术。     

燃煤电厂大气污染物排放考核时间间隔的建议

新的《火电厂大气污染物排放标准》和新《环境保护法》实施后,燃煤火电企业的依法治企自觉性不断提高,但由于不同的环保管理文件对超标处罚依据和处罚手段不同,造成政府对企业处罚的自由裁量权加大,对企业造成一定的压力与困惑。结合企业实际运行情况对燃煤电厂大气污染物排放考核时间间隔提出建议。     

燃煤电厂烟尘超低排放技术措施研究

针对越来越严格的环保要求,介绍了原有的除尘技术,并对除尘器新技术改造方案进行了说明,其中重点对电袋复合代替静电除尘技术、在静电除尘器中增置旋转电极、更改工频电源为高频电源、在电除尘器前加装低温换热器、脱硫后增加湿式电除尘器技术等方案进行比较分析。为了达到超低排放要求,对不同的烟尘超低排放实践工艺进行了说明,并结合东部沿海地区可再生能源发展空间有限的实际情况,提出加快推广超低排放技术在现有燃煤电厂的应用,实现传统煤电产业和环保产业的转型升级。     

REGIONAL FLOOD EQUATIONS FOR THE PROVINCES OF ONTARIO AND QUEBEC1

ABSTRACT: When nonparametric frequency analysis was performed on 183 stations from Ontario and Quebec, unimodal and multimodal maximum annual flood density functions were discovered. In order to determine generating mechanisms, a monthly partitioning of the annual maximum floods was undertaken. The timing of the floods revealed that the unimodal distributions reflected a single flood generating mechanism while the multi-modal densities reflected two or more mechanisms. Based on the division of the flood series by mechanisms, nine homogeneous regions were delineated. L-moment distributional homogeneity tests along with smaller standard errors for the regional equations supported the delineation.     

MODELS FOR WATER AND POWER SCHEDULING FOR THE CALIFORNIA STATE WATER PROJECT1

ABSTRACT: A large-scale simulation/optimization model provides schedules for operation of water and power for the California State Water Project (SWP). The SWP consists of a series of reservoirs linked by rivers, pumping plants, canals, tunnels, and generating plants and is operated by the California Department of Water Resources. The Department provides water to municipal and agricultural users, and manages its electrical loads and resources. The model, therefore, performs hydraulic and electrical computations leading to optimal operation of the entire system. It consists of hydraulic network programming components to meet the storage objectives at all the reservoirs, a linear programming component to determine the schedules at pumping and generating plants, an electrical network programming component to balance electrical loads and resources, and a number of other simulation components. It operates on yearly, weekly, and daily bases. It is primarily used for real-time operation of the SWP and can provide hourly detail schedules which are implemented by the SWP staff via a computerized system.     

Rough Set Rule Induction for Suitability Assessment

The data that characterize an environmental system are a fundamental part of an environmental decision-support system. However, obtaining complete and consistent data sets for regional studies can be difficult. Data sets are often available only for small study areas within the region, whereas the data themselves contain uncertainty because of system complexity, differences in methodology, or data collection errors. This paper presents rough-set rule induction as one way to deal with data uncertainty while creating predictive if–then rules that generalize data values to the entire region. The approach is illustrated by determining the crop suitability of 14 crops for the agricultural soils of the Willamette River Basin, Oregon, USA. To implement this method, environmental and crop yield data were spatially related to individual soil units, forming the examples needed for the rule induction process. Next, four learning algorithms were defined by using different subsets of environmental attributes. ROSETTA, a software system for rough set analysis, was then used to generate rules using each algorithm. Cross-validation analysis showed that all crops had at least one algorithm with an accuracy rate greater than 68%. After selecting a preferred algorithm, the induced classifier was used to predict the crop suitability of each crop for the unclassified soils. The results suggest that rough set rule induction is a useful method for data generalization and suitability analysis.     

发电设备可靠性研究现状与发展

通过对国内外发电设备可靠性研究的分析,提出了我国发电设备可靠性研究大体经历了可靠性指标统计分析、传统可靠性模型分析以及电力市场下可靠性分析3个阶段。在比较各阶段研究特点的基础上,指出了建立发电设备可靠性成本与可靠性效益之间的平衡,设定反映二者关系的新的可靠性指标是电力市场下发电设备可靠性研究的新特点。笔者认为,所提出了数据挖掘技术,是发电设备可靠性管理实现实时化、智能化与预测化的一种有效方法。     

可靠性分配理论在系统安全目标实现中的应用

在系统安全理论中,确定各基本事件的可靠度以实现所给定的系统安全目标值问题一直没有得到很好解决。笔者将可靠性分配理论与故障树分析方法相结合,提出了2个层次可靠度分配法:最小割集之间采取可靠度再分配法,对构成最小割集的各个基本事件之间采取等分配法。从而建立系统中各单元可靠度再分配量化模型。为便于应用,通过实例,详述系统各单元可靠性分配的计算过程。研究表明,运用该模型可准确、简便地计算出各单元的可靠度,使系统在给定的目标值条件下达到系统的安全性优化。     

环境准入门槛设置与指标体系构建实证

根据统筹协调、生态优先、地域差异、管理可行性等原则,从前置性和控制性两个方面,选取包括时序、空间、容量、投资规模、排放总量与强度以及资源、能源消耗标准等要素指标,建立环境准入指标体系;并以江苏省为例,根据指标门槛设置的标准和依据,进行指标门槛的定量测算。初步得到:重点企业最低投资准入、重点区域和重点污染行业环境准入指标测算值,以期为政策制定者提供可资借鉴的依据。