基于事故理论的城市轨道交通风险评价模型研究

笔者分析了城市轨道交通事故,在分析我国其他行业事故分类的基础上,确定城市轨道交通事故分类标准,即重大事故、大事故、险性事故和一般事故,并将不同事故分类情况及专家判断评分,按事故的大小不同换算成可以计算的计算尺度,根据事故种类不同计算出事故折算因子,根据风险理论的评价方法,建立了地铁风险评价模型,对地铁的危险性进行量化定级,并通过具体实例进行综合分析评价,该风险评价模型具有一定的工程意义。     

基于风险的检验(RBI)在国内合成氨装置中的应用

利用API581基于风险的检验原理,采用RISKWISE分析软件对九江石化合成氨装置中的设备和管道进行了风险评估;并在装置采用的工艺、不同装置的设备和管道的失效机理和计算出的风险分布这3方面,将其风险评估结果与国内兄弟单位完成的其他合成氨装置的风险评估结果进行了比对;其结果体现了我国目前合成氨装置的设备和管道风险的大致分布,可供我国其他合成氨装置的风险评估参考,也为制定我国合成氨装置基于风险检验的法规标准提供了相关数据;同时,对国内采用针对装置的基于风险的检验的新模式进行了探讨。     

危险货物道路运输系统的风险评价

分析了危险货物道路运输系统的风险影响因素,在此基础上建立了风险评价指标体系,并采用专家咨询法确定了各指标的权重,提出了使用模糊数学综合评价法对危险货物道路运输系统进行风险评价,并通过实例对评价模型进行了验证.结果表明,利用模糊综合评价的方法对危险货物道路运输系统的风险进行研究,可以为危险货物道路运输企业和交通安全监管部门对危险货物道路运输采取有效的安全控制措施,提供有益的参考.     

Demonstrating Floodplain Uncertainty Using Flood Probability Maps1

Abstract: The U.S. Federal Emergency Management Agency (FEMA) flood maps depict the 100‐year recurrence interval floodplain boundary as a single line. However, because of natural variability and model uncertainty, no floodplain extents can be accurately defined by a single line. This article presents a new approach to floodplain mapping that takes advantage of accepted methodologies in hydrologic and hydraulic analysis while including the effects of uncertainty. In this approach, the extents of computed floodplain boundaries are defined as a continuous map of flood probabilities, rather than as a single line. Engineers and planners can use these flood probability maps for viewing the uncertainty of a floodplain boundary at any recurrence interval. Such a flood probability map is a useful tool for visualizing the uncertainty of a floodplain boundary and represents greater honesty in engineering technologies that are used for flood mapping. While institutional barriers may prevent adoption of such definitions for use in graduated flood insurance rates (as most other insurance industries use to account for relative risks), the methods open the door technically to such a reality.     

A MULTIOBJECTIVE MODEL FOR REGIONAL WATER QUALITY MANAGEMENT1

ABSTRACT: Linear programming is the simplest of all the optimization techniques used in regional water quality management studies; but the technique can optimize only one goal. When there are multiple goals with the same or different priorities, goal programming is a useful decisionmaking tool. This paper illustrates the application of goal programming to a regional water quality management problem where the following two goals are considered: (1) minimize the total cost of waste treatment, and (2) maintain the water quality goals (dissolved oxygen) close to the minimum level stated in the stream standards.     

MANY RESOURCES,MANY USES: A SYSTEM ANALYSIS APPROACH TO RENEWABLE RESOURCE DEVELOPMENT1

ABSTRACT: Decisionmaking associated with the Nation's 1.7 billion acres of forest and range land has become increasingly complicated because of the rise in competition for resource use and in the awareness of environmental and social effects. This system analysis approach uses four models to synthesize pertinent masses of information into measures of economic, environmental, and social impacts. The system results can be used to help evaluate alternative national programs. The models are:

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WATER MULTIPLIERS - REGIONAL IMPACT ANALYSIS1

A significant research problem is the assessment of impacts associated with growth and/or decline in a regional economy. A relevant method for analyzing such problems is the Leontief input/output model. Associated with these models are economic multipliers measuring total changes in sales, income, and employment. In this paper, the author contends resource multipliers are equally relevant. The specific form of these multipliers are defined. Water multipliers for a two-county region in central Nevada are presented and their uses described.     

Energy analysis and the coupling of man and estuaries

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COMPARING METHODS OF HYDROLOGIC REGIONALIZATION1

ABSTRACT: Data splitting is used to compare methods of determining “homogeneous” hydrologic regions. The methods compared use cluster analysis based on similarity of hydrologic characteristics or similarity of characteristics of a stream's drainage basin. Data for 221 stations in Arizona are used to show that the methods, which are a modification of DeCoursey's scheme for defining regions, improve the fit of estimation data to the model, but that is is necessary to have an independent measure of predictive accuracy, such as that provided by data splitting, to demonstrate improved predictive accuracy. The methods used the complete linkage algorithm for cluster analysis and computed weighted average estimates of hydrologic characteristics at ungaged sites.     

Disaster reduction,loss and damage data,and the post-2015 international policy agenda

Disaster risk management, particularly management of climate-related risks, has become central to the international policy agenda. Reducing hazard-related loss and damage relies heavily on scientific inputs. Science, in turn, relies on data—in this case 1) risk-related data on hazards, exposure and vulnerability, and 2) data on associated loss and damage outcomes. The latter, data on losses and damage, are also post-2015 international policy outcome indicators at the highest level, required for countries’ monitoring of progress in reducing disaster risk, adapting to climate change, and achieving sustainable development. Although the quantity and accessibility of loss and damage data are improving, a number of issues continue to constrain their potential. These include needs for more consistent cataloguing of hazards and extreme events, more systematic and accurate documentation of per-event losses and damage, more precise cross-referencing of hazard events with associated loss and damage, and improved standardization and interoperability among databases. We identify measures for improvement in this regard, both for research purposes and for post-2015 international policy implementation.