基于物元分析法的古建筑火灾风险评价

古建筑火灾风险评估是突发事件应对中"关口前移"的体现,以物元分析法为基础提出了古建筑火灾风险评价的物元模型,并对某世界名镇内古建筑进行风险评估。首先,在火灾风险影响因素的事故树分析基础上,选取能够反映古建筑火灾风险特性的51个指标作为评价指标体系;其次,建立古建筑火灾风险评价的物元模型;最后,根据实地调研数据进行标准化赋值,实现对古建筑火灾风险的定量化评价,通过评价方法对比验证了模型有效性和先进性。结果表明,所评价建筑的总体关联度系数为-0.248,四项"优秀"级别指标关联度分别为-0.129、-0.183、-0.211、-0.216,两项"较差"级别指标关联度为0.025、-0.016,表明所评价建筑火灾风险等级的显性结果为"优秀"级别,但隐性结果为"良好+"级别,火灾风险等级潜在提升能力较强。     

我国城乡住宅建筑物化阶段碳排量现状与趋势分析

建筑作为三大高耗能产业之一,研究其碳排放对社会经济、生态可持续发展具有重要意义。综合分析我国城镇、农村人口数量、人均住宅建筑面积的发展趋势,对2012—2050年城乡住宅面积进行预测。结合国内外文献,将建筑物化阶段碳排放源分为建材、运输、现场施工3个方面,得到剪力墙结构、钢混框架结构和砖混结构建筑在物化阶段的单位面积碳排放量。计算得到2012—2050年我国城乡新建住宅建筑面积及其物化阶段的碳排放趋势。城镇新建住宅建筑物化阶段碳排量远胜于农村,其达峰节点迟于农村。合理控制住宅建筑增加速度、延长建筑使用年限可有效减少住宅建筑物化阶段碳排量;使用绿色低碳建材和清洁能源,提高施工机械效率是低碳建筑物化阶段的研究重点。     

草场管理中的市场机制与习俗制度的关系及其影响:青藏高原案例研究

近年来,政府大力推动在完善承包到户基础上的草场经营权的流转,目的之一是通过市场手段来整合牧户个体的草场资源,促进畜牧业的规模化生产。市场机制与牧区传统管理草场的习俗制度,二者的关系及其对草场管理的影响是怎样的?论文选择位于青海省贵南县的元义村和查乃核村为案例地来研究上述问题。元义村反映市场机制取代习俗制度,查乃核村则反映了市场机制嵌套在习俗制度中。通过比较两个案例地的牧户生计、畜牧业生产以及贫富差距,研究发现:1)查乃核村的牧户年均畜牧业资产高于元义村;2)查乃核村的畜牧业生产量逐年增加、牲畜死亡率明显减少,畜牧业生产收益率高于元义村;3)查乃核村的贫富差距明显低于元义村。基于此,论文认为市场机制嵌套在社区习俗制度的制度安排在草场管理中更有效,因为这样的管理模式在满足牧户个体对于权属明晰和补偿需求的同时,能够维持社区共用草场以适应青藏高原多变的气候特征所导致的资源时空分布的异质性。随着市场化的发展,草场管理需要权属明晰及市场机制,但实现这样的目标不需要弱化甚至取代已有的社区习俗制度。     

A comprehensive approach to API RP 752 and 753 building siting studies

Facility siting studies are an important part of process safety, and are required for facilities that fall under OSHA’s PSM program. Facility siting is frequently interpreted as performing a building siting study which adheres to the guidance given in API RP 752. Building siting may also consider siting of temporary or portable buildings based on the guidance in API RP 753. While both API RP 752 and API RP 753 provide a framework and some guidance for performing building siting studies, they do not provide detailed methodologies or provide guidance on performing a detailed analysis. As a result many building siting studies are inconsistent in their overall approach, or in the way they address hazards. Due to the recent scrutiny applied to building siting studies, more attention has been given to provide evaluations which correctly describe the range of hazards that may affect an occupied building at a petrochemical facility. This paper outlines a comprehensive methodology for performing building siting studies at such facilities. The methodology addresses the applicable hazards and the available tools by which the potential impacts to building occupants can be evaluated.     

多层次灰色关联分析在绿色建筑设计方案优选中的应用

在新修订的《绿色建筑评价标准》(GB/T 50378—2014)的基础上,综合考虑了与绿色建筑设计方案评价相关的内容,构建出绿色建筑设计方案评价指标体系。在专家打分的基础上,通过层次分析法(AHP法)给各评价指标赋予了权重,运用多层次灰色关联分析模型分层次计算出各评价方案与理想方案的最终关联度并排序,进而确定最优方案,并通过引入实例验证了该评价方法的科学性和实用性。     

基于PCA-FPP-BP神经网络的高层建筑火灾安全评价

为解决高层建筑构造复杂、人员密度大、火灾触发因素繁多而造成高层建筑火灾安全评价困难的问题,本文提出基于PCA-FPP-BP神经网络的高层建筑火灾安全评价模型。首先运用主成分分析(PCA)对构建的高层建筑火灾安全评价指标降维处理,筛选主要信息;接着基于三角模糊数构建模糊评判矩阵,利用模糊优先规划(FPP)求解指标的权重值,减少主观的影响;最后考虑到指标间关系错综复杂彼此交叉和反馈的特性,选择BP神经网络对高层建筑火灾安全进行评价。通过工程案例证明该评价模型的实用性以及可靠性。     

汶川地震灾区过渡房安置点场地选择中的地震问题

大地震后,如何在最短的时间内在灾区选择比较安全的过渡房安置点建设场地,是一项具有挑战性的工作。本文以四川省汶川8.0级大地震后灾区群众快速安置为背景,论述了选择过渡房安置点场地必须考虑的地震问题,并提出了处理地震断层、地表裂缝、砂土液化、坍塌等实际问题的方案;利用强余震的预测结果,分析了这些灾害对场地可能造成的危害;同时对可能潜在的滑坡、危岩崩塌、泥石流等地质灾害提出相应的处理建议,供安置点规划建设参考。     

西北地区水资源—生态可持续发展的若干问题探讨

基于对西北地区大开发的关键性难题与一些违背自然规律的不良倾向的讨论 ,认为大开发的实施需要在系统科学思维的基础上综合考虑资源—环境—经济的协调发展。近年来 ,许多科学家从各种角度揭示了我国西北乃至北半球中纬度地区持续干旱的发展规律 ,对干旱化趋势与水盐失衡的分析表明 ,西北地区气候干旱化将长期存在 ,生态将继续退化 ,这种趋势是人力不可抗拒的。人为活动尤其是水资源的开发利用 ,对土壤生态的影响是非常明显的 ,应该在严格控制水资源利用总量的前提下 ,调整用水格局 ,发展节水经济 ,科学确定社会经济用水和生态用水的比例 ,保证必须的生态用水 ,大力发展生态植被。指出在分析西北生态环境问题时过于强调人为活动而忽视自然因素作用的倾向 ,讨论了水库兴修、灌溉、土地利用与改良、深层水利用、水环境脆弱性等水资源—生态建设与可持续发展中的若干关键性问题     

Ecological scenarios analyzed and evaluated by a shallow lake model

We applied the complex ecosystem model EMMO, which was adopted to the shallow lake Müggelsee (Germany), in order to evaluate a large set of ecological scenarios. By means of EMMO, 33 scenarios and 17 indicators were defined to characterize their effects on the lake ecosystem. The indicators were based on model outputs of EMMO and can be separated into biological indicators, such as chlorophyll-a and cyanobacteria, and hydro-chemical indicators, such as phosphorus. The question to be solved was, what is the ranking of the scenarios based on their characterization by these 17 indicators? And how can we handle high quantities of complex data within evaluation procedures? The scenario evaluation was performed by partial order theory which, however, did not provide a clear result. By subsequently applying the hierarchical cluster analysis (complete linkage) it was possible to reduce the data matrix to indicator and scenario representatives. Even though this step implies losses of information, it simplifies the application of partial order theory and the post processing by METEOR. METEOR is derived from partial order theory and allows the stepwise aggregation of indicators, which subsequently leads to a distinct and clear decision. In the final evaluation result the best scenario was the one which defines a minimum nutrient input and no phosphorus release from the sediment while the worst scenario is characterized by a maximum nutrient input and extensive phosphorus release from the sediment. The reasonable and comprehensive results show that the combination of partial order, cluster analysis and METEOR can handle big amounts of data in a very clear and transparent way, and therefore is ideal in the context of complex ecosystem models, like that we applied.     

Making Capacity Building Meaningful: A Framework for Strategic Action

This paper aims to give practical meaning to ‘capacity building’ through (a) identifying a suite of practical measures, such as mentoring or best practice guidelines, that have been shown to or are considered to build human, social, institutional, and economic capital; (b) placing these measures within a broader systems framework; and (c) exploring stakeholder feedback on specific measures to inform framework implementation. The 29 measures described provide actors, whether government or nongovernment, with a suite of practical investment choices for building capacity. These measures are then clustered into eight groups according to their primary purpose and placed within a systems framework. The framework provides a tool for actors with responsibilities for or an interest in capacity building to inform more holistic and strategic targeting of effort and investment. Stakeholder feedback gathered through surveys and workshops is subsequently reported to further inform implementation of specific measures within the framework’s eight groupings. The framework presented may be built upon through the identification and inclusion of further capacity building measures. The research is conducted within the context of decentralized governance arrangements for natural resource management (NRM), with specific focus on Australia’s recently formalized 56 NRM regions and their community-based governing boards as an informative arena of learning. Application of the framework is explored in the Australian setting through the identification and comparison of measures supported and most preferred by four major stakeholder groups, namely board members, regional NRM organization staff, policy/research interests, and Indigenous interests. The research also examines stakeholder perceptions of capacity issues, and whether these issues are likely to be addressed through implementing their preferred measures.