1993-2003年特大火灾发生规律、特征及原因分析

火灾作为一种灾害现象,其发生与发展具有随机性和确定性的双重特性.火灾统计分析是研究火灾随机性规律的一种有效方法,它通过总结、整理和分析大量的原始火灾资料,归纳出火灾发生的统计性规律.本文从1993-2003年我国火灾形势着手,联系火灾形势发展过程中的火灾起数、火灾中人员伤亡和直接财产损失等大量数据,重点分析了特大火灾的原因及类别特征,总结了特大火灾发生发展的规律和趋势,为正确认识和预测我国火灾形势、做好特大火灾的预防工作提供了参考.     

滑坡体三维构造及稳定性分析

采用体元技术建立滑坡体真三维模型,通过基本三棱柱体构建具有复杂曲面结构的空间组合体,每个单元都赋予不同的属性,为滑坡体三维稳定性分析提供基本的前、后处理功能.以此为基础,并结合三维极限平衡分析计算方法,开发了相关的滑坡三维模拟与稳定性分析软件,并成功应用于清江库岸大型滑坡的三维仿真计算.     

公路网规划环境影响评价中的困难和不确定性分析

首先分析了公路网规划环境影响评价中的困难,即评价方法的不成熟和获取资料的困难;然后重点分析了评价中的公路网规划方案的不确定、环境信息的不确定、空间信息的不确定和环境影响程度的不确定;最后提出了 4种解决困难和降低不确定的方法,即制定公路网规划环境影响评价技术导则,使用基于情景分析的预测方法,广泛开展公众参与以及通过多方协作的方式开展环境影响评价工作.     

1985-2005年中国城市水源地突发污染事件不完全统计分析

对1985-2005年中国城市水源地突发污染事件进行了统计分析,以从总体上揭示这些事件的发生规律及其对城市水源地和供水安全的危害.采用文献检索方法,通过对1985-2005年<中国环境报>、<人民日报>、新华网等报刊和网络的检索,从发生日期、地点、污染物种类、事件简况4个方面统计中国城市水源地突发污染事件,经整理和筛选后共列出102起.这些突发污染事件的分析结果表明:1)中国城市水源地突发污染事件总体上呈数量逐年增多,危害增大的趋势;2)化学品和污水是主要污染物;3)河道交通事故和工厂泄漏事故是主要风险源;4)突发污染事件一般都造成了比较严重的经济社会影响,但缺乏相应的应急管理机制和应急部门;5)3个典型突发污染事件造成重大经济社会损失并引发社会高度关注,凸现了构建中国城市水源地突发污染事件应急机制的重要性和迫切性.     

重庆市建设工程从业人员现状调查与对比分析

对重庆市106家工程建设单位的从业人员的现状的调查情况进行了分析,发现其在年龄结构、学历结构、职称结构等方面存在的问题,并针对出现的问题提出了改进的建议.     

交通安全对策的关联树法分析

分析了交通安全的影响因素,结合系统工程理论,建立了道路交通安全对策关联树,并计算了指标的重要度,为提出合理的交通安全对策提供了理论依据.     

旅游安全风险系统研究

在现代旅游活动中,旅游安全问题日益突出。其活动涉及大、中、小尺度的地域范围,牵涉行业较多,旅游安全存在于旅游行业及其活动的各个环节。当前的旅游安全问题不仅仅是个技术问题,而已成为一个很严重的社会问题。笔者从系统论和旅游地理学的角度,把旅游安全作为一个风险系统进行研究;认为旅游安全风险系统是由旅游者与旅游景区环境共同组成的一个复杂的特定的相互依赖的系统;初步探讨旅游安全风险系统的组成、结构和研究内容;对旅游安全风险系统的安全分析、安全评价和安全措施进行了相关研究;通过研究,以期弄清现代旅游业发展中存在的安全问题,提出旅游安全风险对策。     

灰色关联分析在道路交通事故中的应用

全国或某一地区的道路交通安全系统是一个灰色系统,可应用灰色关联分析法方便地确定影响交通安全的主要相关因素。由灰色关联度导出灰色关联序,以进行优势分析,从而得到交通事故的最(准)优因素及最(准)优特征。根据1990—2000年全国道路交通事故以及全国人口、机动车、公路里程和客货运输量等主要相关因素统计资料可知,货运量、货运周转量和客运量是影响交通安全的主要相关因素,死、伤人数是交通事故的主要特征和指标。由哈尔滨市2000年道路路段交通事故与交通组成统计资料可知,城市道路交通事故的主要影响因素是各类货车、摩托车和大型车。因此,加强货车和货运管理对提高我国交通安全水平具有重要意义。     

A transportation network assessment tool for hazardous material cargo routing: Weighing exposure health risks,proximity to vulnerable areas,delay costs and trucking expenses

The inherent risks associated with accidental releases of hazardous materials during transport have drawn attention and concerns in the recent decades. The aim of this study is to propose a tool for evaluation and comparison of the transportation networks which can be used to assess the routing options between origins and destinations of the cargos for their suitability for transporting hazardous material cargos by tanker trucks and to identify routes which provide lower accidental release risks, lower public exposure risks, and offer economical benefits. Each route segment of transportation networks were evaluated using specific criteria which included health risk and cost of delay in case of an accidental release of materials, trucking cost and proximity to vulnerable areas. Since, the health impact of hazardous materials differ depending on the characteristics of the material being transported as well as release quantities and atmospheric conditions; this paper aimed in providing a tool that can be used to estimate the impact radius (for health risks) after accidental release of hazardous materials by taking into account different atmospheric conditions based on the meteorological data and solar elevation angle. The Gaussian air dispersion model paired with ArcGIS using Python programming were employed to estimate the health risk impact zones by considering the meteorological data, and accordingly to analyze road segments for cost impacts (delay and trucking costs), and the proximity to vulnerable areas. The route assessment tool was demonstrated with a case study. The results of this study can efficiently aid decision makers for transportation of hazardous materials.     

Environmental cost of using poor decision metrics to prioritize environmental projects

Conservation decision makers commonly use project‐scoring metrics that are inconsistent with theory on optimal ranking of projects. As a result, there may often be a loss of environmental benefits. We estimated the magnitudes of these losses for various metrics that deviate from theory in ways that are common in practice. These metrics included cases where relevant variables were omitted from the benefits metric, project costs were omitted, and benefits were calculated using a faulty functional form. We estimated distributions of parameters from 129 environmental projects from Australia, New Zealand, and Italy for which detailed analyses had been completed previously. The cost of using poor prioritization metrics (in terms of lost environmental values) was often high—up to 80% in the scenarios we examined. The cost in percentage terms was greater when the budget was smaller. The most costly errors were omitting information about environmental values (up to 31% loss of environmental values), omitting project costs (up to 35% loss), omitting the effectiveness of management actions (up to 9% loss), and using a weighted‐additive decision metric for variables that should be multiplied (up to 23% loss). The latter 3 are errors that occur commonly in real‐world decision metrics, in combination often reducing potential benefits from conservation investments by 30–50%. Uncertainty about parameter values also reduced the benefits from investments in conservation projects but often not by as much as faulty prioritization metrics.