促进三峡库区和谐稳定发展评价方法研究

三峡库区已完成了百万移民的搬迁安置,进入了移民安稳致富的新阶段,库区社会和谐稳定对促进库区经济社会健康发展和实现全面建成小康社会的目标具有重要作用。本研究重点关注和谐库区建设思路及评价指标体系构建:一方面,从理论层面,重点论述与库区和谐社会相关的理论认识成果;另一方面,从实际管理运用层面,构建了库区和谐评价指标体系,可为移民动态管理提供有力的技术支撑。     

水运工程施工项目全过程管理的有效性探索

水运工程项目作为我国航运和水利的重要组成部分,其重要性不言而喻。针对现阶段水运工程项目建设和运行过程中存在的管理制度不够完善、施工材料耗损大、技术人员专业知识匮乏等问题,采用全过程管理模式对水运工程项目进行管理。通过分析影响水运工程项目全过程管理的要素,并重点从组织机构管理、质量管理、成本管理、进度管理、安全管理等方面探讨了水运工程项目全过程管理的有效性,明确了提高水运工程项目全过程管理有效性的控制重点,旨在提高企业的经济效益。     

水资源账户的建立与应用研究

为了补充和完善综合环境经济核算体系,进一步改进现代水利统计体系,实现水资源一体化管理,完成自然资源核算中水资源的核算部分,目前,对水资源环境经济核算方面的研究工作逐渐展开。作为水资源环境经济核算的重要组成部分,水资源账户的建立十分必要。基于水资源环境经济核算体系,介绍了水资源账户建立的背景、构架、核心管理问题和各账户编制内容以及账户建立的关键问题等,提出了水资源账户建立的一般思路,可为区域、流域水资源账户的编制提供参考。     

潮汐双向流条件下丁坝水流特性研究

以长江口南支河段为原型,概化并建立水槽数学模型,研究径潮双向流条件下丁坝附近的水流结构。研究表明:丁坝一侧河岸,丁坝下游潮差远大于上游,在丁坝上游潮差小于对岸侧,下游潮差大于对岸侧;落潮时,丁坝回流区与壅水区长度大于涨潮,转流时刻,丁坝坝头附近流速相对较大;河床底部剪切应力变化在涨落急时刻最大,且落潮大于涨潮,转流时刻坝头及坝身迎水侧剪切应力增加明显。     

库水升降速率对老蛇窝滑坡稳定性影响分析

通过监测资料分析和滑坡稳定性数值计算,探讨了三峡库水位在不同升降速率下对老蛇窝滑坡稳定性的影响规律。研究结果表明,理论上库水位上升有利于老蛇窝滑坡的稳定,但实际运行中库水位上升是不利于滑坡稳定的,因为库水浸泡会使滑坡前缘塌岸;老蛇窝滑坡为动水压力型滑坡,最主要诱发因素为库水位的下(骤)降;老蛇窝滑坡稳定性的临界库水位调度速率为0.9 m/d,即当库水位下降速率大于0.9 m/d时,滑坡K值小于1。     

水流掺气对明流泄洪洞及挑坎水力特性的影响

水流充分掺气可以避免高流速泄洪设施发生空蚀,但也会改变相关水力特性。通过对某大坝泄洪洞掺气设施水力模型试验及关于水流表面自掺气发生条件的相关分析,提出了在全程流速超过38 m/s,长度达550 m的明流洞内仅布置一级掺气设施的建议,较通常情况减少了两级;并针对泄洪洞出流方向与河道流向交角达60°的特点,研究提出了一种大差动异型鼻坎消能工。水工模型试验成果表明,其挑流水舌沿河道纵向扩散良好,水舌外缘与河道对岸保持了30 m以上的安全距离。该泄洪洞建成后经历了高水头、较长时间的泄洪运行,明流洞和鼻坎消能工均无空蚀发生,但挑坎水舌却冲刷到对岸边坡。     

北京市雨水收集利用蓄水池容积计算与分析

基于北京市1984—2013年的日降雨资料,以北京林业大学林业楼及其周边绿地为研究区,设置3种用水情景(冲厕、绿地灌溉及冲厕+绿地灌溉),采用连续模拟法,分别绘制3种用水情景下雨水收集利用工程的雨水截留率、自来水替代率、供水保证率以及效益费用比变化曲线,并通过综合分析这些曲线的变化特征确定雨水蓄水池最佳设计容积(60~82 m3)。同时采用设计暴雨法计算1~5年不同重现期的蓄水池设计容积(77~248 m3)。结果表明,连续模拟法计算过程相对复杂,但可用于综合衡量雨水收集利用工程的雨洪管理效益,以及缓解水资源短缺效益、供水可靠性及经济可行性分析。     

湖南省染料工业现状和发展前景

综述了湖南省染料工业的现状，预测了省内对染料品种的需求情况，并对湖南省可开发的染料品种提出了建议。     

Evaluation of two alternative carbon capture and storage technologies: A stochastic model

In this paper we evaluate two alternative CCS technologies at a coal-fired power plant from an investor's point of view. The first technology uses CO₂ for enhanced oil recovery (EOR) paired with storage in deep saline formations (DSF) and the second merely stores CO₂ in DSF. The paper updates and improves on an earlier publication by Tzimas et al. (2005). For projects of this type there are many sources of risk, three of which stand out: the price of electricity, the price of oil and the price of carbon allowances. In this paper we develop a general stochastic model that can be adapted to other projects such as enhanced gas recovery (EGR) or industrial plants that use CO₂ for either EOR or EGR with CCS. The model is calibrated with UK data and applied to help understand the conditions that generate the incentives needed for early investments in these technologies. Additionally, we analyse the risks of these investments. Investments with EOR and secondary DSF storage can only be profitable (NPV > 0) when there is a high long-term equilibrium price for oil of more than $56.38/barrel. When the investment decision can be made at any time, i.e. there is an option value, then the trigger value for optimal investment is significantly higher.     

Decentralized control: Status and outlook

This paper reviews state of the art in the area of decentralized networked control systems with an emphasis on event-triggered approach. The models or agents with the dynamics of linear continuous-time time-invariant state-space systems are considered. They serve for the framework for network phenomena within two basic structures. The I/O-oriented systems as well as the interaction-oriented systems with disjoint subsystems are distinguished. The focus is laid on the presentation of recent decentralized control design and co-design methods which offer effective tools to overcome specific difficulties caused mainly by network imperfections. Such side-effects include communication constraints, variable sampling, time-varying transmission delays, packet dropouts, and quantizations. Decentralized time-triggered methods are briefly discussed. The review is deals mainly with decentralized event-triggered methods. Particularly, the stabilizing controller–observer event-based controller design as well as the decentralized state controller co-design are presented within the I/O-oriented structures of large scale complex systems. The sampling instants depend in this case only on a local information offered by the local feedback loops. Minimum sampling time conditions are discussed. Special attention is focused on interaction-oriented system architecture. Model-based approach combined with event-based state feedback controller design is presented, where the event thresholds are fully decentralized. Finally, several selected open decentralized control problems are briefly offered as recent research challenges.