GJB 150.3A高温试验方法的应用及分析

介绍了GJB150．3A高温试验方法的由来以及与GJB150．3之间的联系和区别。重点对该方法中试验项目的剪裁、试验程序的选择、试验条件的确定以及试验顺序的安排进行了分析,并以某型直升机机栽天线为例,详细说明了该试验方法的应用,最后就其未来发展趋势进行了探讨。     

关于战略环境影响评价的探讨

文章从战略环境影响评价的概念和分类进行分析,结合我国战略环境影响评价的当前发展,对战略环境影响评价在我国经济发展中的意义和必要性进行研究。结合其对经济发展和地区规划的影响等多方面的分析,提出战略环境影响评价所遵循的原则和评价程序,并对其评价程序进行分析和论证,进一步论述了战略环境影响评价的意义。     

Modeling assessment for ammonium nitrogen recovery from wastewater by chemical precipitation

Chemical precipitation to form magnesium ammonium phosphate (MAP) is an effective technology for recovering ammonium nitrogen (NH4 +-N). In the present research, we investigated the thermodynamic modeling of the PHREEQC program for NH4 +-N recovery to evaluate the effect of reaction factors on MAP precipitation. The case study of NH4 +-N recovery from coking wastewater was conducted to provide a comparison. Response surface methodology (RSM) was applied to assist in understanding the relative significance of reaction factors and the interactive effects of solution conditions. Thermodynamic modeling indicated that the saturation index (SI) of MAP followed a polynomial function of pH. The SI of MAP increased logarithmically with the Mg2+/NH4 + molar ratio (Mg/N) and the initial NH4 +-N concentration (CN), respectively, while it decreased with an increase in Ca2+/NH4 + and CO3 2??/NH4 + molar ratios (Ca/N and CO3 2??/N), respectively. The trends for NH4 +-N removal at different pH and Mg/N levels were similar to the thermodynamic modeling predictions. The RSM analysis indicated that the factors including pH, Mg/N, CN, Ca/N, (Mg/N) (CO3 2??/N), (pH)2, (Mg/N)2, and (CN)2 were significant. Response surface plots were useful for understanding the interaction effects on NH4 +-N recovery.     

环境保护“十二·五”规划——目标、任务与动力

围绕国家和自治区的总体要求,结合包头市实际,明确了包头市“十二·五”环境保护工作的指导思想、总体目标,以削减总量、改善质量、防范风险为主线,按环境要素提出了“十二·五”环境保护工作的重点任务和动力机制,为科学编制“十二·五”环境保护规划奠定了基础。     

轧钢厂煤气泄漏事故应急救援预案

轧钢厂是大型冶金联合企业产成品后续加工单位,具有生产过程连续、工艺复杂的特点,其生产的原料坯须经过加热后,才能进行生产轧制.而加热燃料是高焦炉混合煤气,属易燃易爆、易中毒能源介质.为消除煤气在生产使用中出现的突发事故,最大限度地减少人员伤亡和财产损失需制定应急救援预案.     

中国低碳城市试点的政策设计逻辑

政策试点是中国国家治理策略体系的重要组成部分,是中国政府遵循“由点到面”逻辑以试验手段制定政策的一种常规性工作方法。低碳城市试点是中国应对气候变化战略的重要组成部分,通过选择不同类型、不同发展阶段、不同资源禀赋的地区开展试点,探索经济增长与碳排放脱钩的模式。现有文献侧重低碳城市建设的内涵、建设模式与路径、温室气体的核算方法、政策手段、峰值研究与达峰路径、效果评估等,有力地支持了低碳城市建设决策,但对于低碳城市试点的政策设计鲜有涉及。本文从政策过程理论、央地关系两个视角,结合府际学习与竞争关系,建构了中国低碳城市政策“试点–扩散”机制与政府行为的分析框架。中国的低碳城市试点具有探索型开拓性、综合型专业性、授权型自主性的特点,结合三批低碳城市试点的文件要求和实践进展,从政策试点的选点、设计、执行、监督和评估五个方面对于中国低碳城市试点进行了系统的梳理分析。相较于经济领域的其他政策试点,低碳城市政策试点具有弱激励弱约束的政策环境。地方政府基于自身的学习能力和领导力,在政策创新方面表现出争先、自主、效仿和守成四种行为特征,并以杭州、深圳、镇江、成都四个表率城市做了实证。政策“试点-扩散”的过程从本质上讲是中国政策创新与扩散的过程,可能在现实中需要往复多次进行,中国已陆续开展的三批低碳城市试点工作就遵循这样的政策逻辑。试点的意义是试出问题、解决问题、积累经验。从前三批试点城市评估结果来看,试点城市在低碳发展目标设定、转型路径探索和低碳发展动力转换等方面与社会的预期仍有差距,为此本文提出了推进低碳城市建设的四点建议:一是激发城市低碳发展的内生动力;二是完善低碳城市试点的科学论证机制;三是建立激励与约束并举的长效机制;四是强化市场公平竞争的政策导向。     

基于现场测试的斜拉桥有限元模型修正

由于多年使用,桥的结构材料等都已经发生变化,因此在研究桥的当前工作状态时,必须依照现场测试结果,将初始模型修正为符合现阶段实际情况的有限元模型。本文以黄河胜利大桥为工程背景,根据设计资料建立了该桥初始有限元模型,用ANSYS通用软件开发了索力修正程序,该程序通过调整拉索的初始应变和附加质量块,使模型索力与设计索力之间误差在5%以内。计算发现,有限元模型中的施工顺序对成桥状态有着很大影响,应通过单元生死技术进行施工模拟。本文以各级加载工况下挠度、索力的变化情况作为控制目标,最终建立了能够反映加载工况下挠度变化、索力变化的黄河胜利大桥基准有限元模型,为今后监测桥的索力变化情况进而了解整座桥的工作状态奠定了基础。     

洞庭湖区血吸虫病疫水人水相互作用关系及防控方案研究

研究洞庭湖区血吸虫病人水相互作用关系及传染防控,是推进湖区社会经济稳定健康发展的重要保障。从水文情势、产业发展、居民行为、城乡建设四方面探讨了洞庭湖区血吸虫病疫水人水相互作用关系,并运用系统动力学模型,设置教育优先方案、生态保护优先方案和城镇化推进方案对其防控方案进行系统仿真模拟和对比分析,研究结果表明:(1)水文等生态因素对于人水接触的影响逐步减少,而社会经济因素则显得越来越重要。(2)系统动力学模型能有效展示血吸虫病各影响因素之间的关系,是研究血吸虫病防控的有效方法之一。(3)依据仿真模拟结果,城镇化推进方案是经济增长、城乡协调、环境友好的最优血防方案。     

Application of statistical modeling to optimize a coastal water quality monitoring program

The long-term water quality monitoring program implemented by the Massachusetts Water Resources Authority in 1992 is extensive and has provide substantial understanding of the seasonality of the waters in both Boston Harbor and Massachusetts Bay and the response to improvements in effluent quality and offshore transfer of the effluent in September 2000. The monitoring program was designed with limited knowledge of spatial and temporal variability and long-term trends within the system. This led to an extensive spatial and temporal sampling program. The data through 2003 showed high correlation within physical parameters measured (e.g., salinity, dissolved oxygen) and in biological measures such as chlorophyll fluorescence. To address the potential sampling redundancies in the measurement program, an assessment of the impact of reduced levels of monitoring on the ability to make water quality decisions was completed. The optimization was conducted by applying statistical models that took into account whether there was evidence of a seasonal pattern in the data. The optimization used model survey average readings to identify temporal fixed effects, model survey-average-corrected individual station readings to identify spatial fixed effects, corrected the individual station readings for temporal and spatial fixed effects and derived a correlation model for the corrected data, and applied the correlation model to characterize the correlation of annual average readings from reduced monitoring programs with true parameter levels. Reductions in the number of sampling stations were found less detrimental to the quality of the data for annual decision-making than reductions in the number of surveys per year, although there is less of a difference in this regard for dissolved oxygen than there is for chlorophyll. The analysis led to recommendations for a substantially lower monitoring effort with minimal loss of information. The recommendation supported an annual budget savings of approximately $183,000. Most of the savings was from fewer surveys as approximately $21,000 came from the reduction in the number of stations monitored from 21 to 7 and associated laboratory analytical costs.