半结构决策方法在松花江蓄洪区选址问题中的研究

研究松花江蓄洪区选址问题的决策方法.松花江蓄滞洪区选址问题涉及诸多定性指标和定量指标,属于半结构决策问题.本文综合层次分析法和模糊优选法,提出求解这类问题的一种半结构决策方法.基本方法是:将评价指标分为定性指标和定量指标;对于定性应用层次分析法,求其评价矩阵;对于定量指标应用相对隶属度方法,求其评价矩阵;二者合成得到全体指标的评价矩阵;最后利用模糊优选法求得最优决策.应用该方法于松花江流域蓄滞洪区的方案选择中.     

建筑火灾风险评价体系的建立与应用探讨

探讨基于安全系统工程思想的建筑火灾风险评价指标体系的建立方法,并在该基础上,通过专家打分和层次分析法,计算得出各指标因子的权重值。根据有关标准和规范,对各评价指标因子进行等级划分,并设计出建筑火灾风险综合分值评分表,为厘定火灾保险费率提供依据。笔者的研究成果为完善建筑火灾风险评价方法、制定财产保险火灾风险评价标准等提供了科学依据。     

构建大学生的心理安全屏障——层次分析法在大学生心理安全影响因素分析中的应用

应用层次分析法分析当代大学生心理安全影响因素,首先要把问题条理化、层次化,弄清问题的范围,所包含的因素,因素之间的相互关联、隶属关系,最终确定所要解决的问题等。它对大学生心理问题产生的各方面原因进行综合评价,找出其中3个最重要的因子——恋爱方面的困扰、对学校教育方式的不适应以及严重的躯体疾病。针对大学生心理安全问题形成的原因,试图提出解决问题的对策和建议,为提高当代大学生的社会适应能力,开发心理潜能,探索大学生心理健康教育的模式,提供理论依据。     

航空维修人为差错影响因素分析中的模糊层次分析法

航空维修中的人为差错影响因素分析对于预防事故发生至关重要,如何定量分析及辨识出主要影响因素是亟待解决的问题。为此,结合航空维修实际,提出运用群组模糊层次分析法对人为差错影响因素进行量化排序和分类,归纳细化了影响因素层次体系,并给出了分析计算流程。以一起由维修人为差错所引发的航空事故为例进行了实证分析,结果表明:该方法能够辨识出航空维修中人为差错产生的主要影响因素,进而对制订最优事故预防方案,控制和减少该类事故的发生有积极意义。同时该方法对其他行业中的人为差错主要影响因素辨识有着一定的参考价值。     

基于层次分析-模糊综合评判的化工园区安全评价研究

应用模糊数学理论,把模糊综合评价方法具体应用到化学工业园区安全综合评价研究中,结合化工园区的实际情况,建立了化工园区的安全现状综合评价指标体系,采用定性与定量相结合的层次分析法计算评价因素的权重,运用模糊综合评判理论,提出安全现状二级模糊综合评价方法,实现对化工园区安全等级的综合评判。应用该方法对某化工园区的安全现状进行了综合评价,得出其安全等级为"一般"。实例表明:模糊综合评价方法可操作性强、效果较好,可在化工园区的安全综合评价中广泛应用。     

快速分析技术在煤质检测中的应用及发展

煤质检测关系到电站燃煤锅炉的稳定安全运行.综述了几种快速分析技术在煤质检测中的应用及原理,并对今后我国在该技术领域的发展提出了建议.     

水产品中甲氰菊酯残留的ELISA快速检测

为快速检测水产品中甲氰菊酯的残留,应用水溶性碳化二亚胺(EDC)法将甲氰菊酸与牛血清白蛋白(BSA)和卵清蛋白(OVA)偶联,合成了甲氰菊酯的人工免疫抗原和包被抗原.免疫抗原经紫外扫描和聚丙烯酰胺电泳验证构建成功,用此抗原免疫试验兔子,获得了甲氰菊酯的多克隆抗体.经检测,抗体对甲氰菊酯具有较好的特异性和灵敏性.在此基础上建立了水产品中甲氰菊酯残留的间接ELISA检测法.理想的甲氰菊酯-OVA包被抗原质量浓度为1.6 mg/L,酶标二抗(羊抗兔IgG-HRP)的稀释度为1∶1000,多抗的稀释度为1∶3 200,最适检测范围为20～200 μg/kg,在实际样品检测时的最低检出限为20 μg/kg,接近或达到气相色谱法的测定水平,但检测速度大大提高,可在3 h内完成近百个样品的分析,适合甲氰菊酯的快速检测.     

NUTRIENT CONCENTRATION CRITERIA AND CHARACTERIZATION OF PATTERNS IN TROPHIC STATE FOR RIVERS IN HETEROGENEOUS LANDSCAPES1

ABSTRACT: A method is demonstrated for the development of nutrient concentration criteria and large scale assessment of trophic state in environmentally heterogeneous landscapes. The method uses the River Environment Classification (REC) as a spatial framework to partition rivers according to differences in processes that control the accrual and loss of algae biomass. The method is then applied to gravel bed rivers with natural flow regimes that drain hilly watersheds in New Zealand's South Island. An existing model is used to characterize trophic state (in terms of chlorophyll a as a measure of maximum biomass) using nutrient concentration, which controls the rate of biomass accrual, and flood frequency, which controls biomass loss. Variation in flood frequency was partitioned into three classes, and flow data measured at 68 sites was used to show that the classes differ with respect to flood frequency. Variation in nutrient concentration was partitioned at smaller spatial scales by subdivision of higher level classes into seven classes. The median of flood frequency in each of the three higher level classes was used as a control variable in the model to provide spatially explicit nutrient concentration criteria by setting maximum chlorophyll a to reflect a desired trophic state. The median of mean monthly soluble reactive phosphorus and soluble inorganic nitrogen measured at 68 water quality monitoring sites were then used to characterize the trophic state of each of the seven lower level classes. The method models biomass and therefore allows variation in this response variable to provide options for trophic state and the associated nutrient concentrations to achieve these. Thus it is less deterministic than using reference site water quality. The choice from among these options is a sociopolitical decision, which reflects the management objectives rather than purely technical considerations.     

Understanding Dispute Resolution Processes for American and Australian Public Wildlands: Towards a Conceptual Framework for Managers

/ The last 20 years have seen the successful application of environmental dispute resolution processes, where people voluntarily negotiate toward mutually acceptable solutions, to many environmental disputes. The effects of contextual influences, such as the number of parties and presence of deadlines, on outcomes are known and frequently described. Less well documented and understood are the interaction processes themselves. This paper draws on two case studies to develop a conceptual framework describing these processes. Disputes associated with management planning for the Bob Marshall Wilderness Complex in the United States and Fitzgerald River National Park in Australia provided the cases. The conceptual framework derived had eight sequential stages: (1) joint definition of problems, (2) uncertainty about what to do, (3) agreement on group procedures, (4) realization of interdependence, (5) enthusiasm about collective possibilities, (6) commitment to working together, (7) consolidation of the group, and (8) implementation of a resolution. The framework provides new insights for managers of public wildlands, especially the need for varying but ongoing managerial involvement in dispute resolution processes. High levels of involvement and influence are essential at the beginning in problem definition and group procedure design and at the end in implementing resolutions. Conversely, agency members must be willing to exert less influence, while still being involved and committed to collective purposes, during the middle stages. Also apparent from the conceptual framework is the importance of developing shared understandings and of allowing sufficient time for understanding to develop, if successful resolution is to be achieved. KEY WORDS: Environmental dispute resolution; Conceptual framework; Public wildlands; Shared understandings; Australia     

A THEORETICAL FRAMEWORK OF FLOOD INDUCED CHANGES IN URBAN LAND VALUES1

ABSTRACT: By integrating literature from flood hazard research and urban economics a theoretical structure is developed to explain changes in residential land values following flood events. The negative aspects of the flood hazard are shown to be capitalized in the value of the property. It is further suggested that land values (i.e., capitalization) will vary both spatially across the floodplain and temporally depending on the frequency, severity and spatial characteristics of the flood event. Previous work in this area has not addressed the capitalization process explicitly and has not specifically examined the ability of the land market to recover. This may account for the contradictory findings in the published literature.