突发性灾难重大事件后公众对心理服务的认知和需求

为分析突发性灾难重大事件发生后公众对心理服务的认知和需求现状,采用随机抽样的方法在全国范围内抽取458名群众作为被试,使用“突发性灾难重大事件后公众心理服务认知和需求”调查问卷进行调查。结果显示:①不同性别人群、不同年龄阶段人群对“突发性灾难重大事件后心理服务”的认知存在显著差异(X^2=9.82,p<0.05;X^2=33.99,p<0.05)。②不同年龄阶段的人群对民众开展心理服务的必要性态度存在显著差异(X^2=15.84,p<0.05)。不同文化程度人群、不同性别人群对突发性灾难重大事件后心理服务活动的参与意愿存在显著差异(X^2=7.20,p<0.05;X^2=6.78,p<0.05)。③不同文化程度人群对心理服务知识和技能需求存在显著差异(X^2=28.65,p<0.05),在接受心理服务场所的选择上也存在显著差异(X^2=16.44,p<0.05)。不同年龄阶段人群对接受心理服务场所的选择上存在显著差异(X^2=21.52,p<0.05)。分析结果显示:在遭受突发性灾难重大事件时,公众对心理服务的了解程度一般,但参与意愿和需求强烈,因此,国家和社会应加快社会心理服务体系的建设,促进公众的心理健康。     

基于熵权的防灾工程项目融资方式评价决策模型

对防灾工程项目融资方式的评价决策问题进行了讨论,分析了项目评价决策中的客观信息和评价决策者个人经验的主观信息,提出在量化打分的基础上整合为一个复合权重集,建立了基于熵权的防灾工程项目融资方式评价模型和方法。通过实例计算,结果表明该模型在融资方式的评价、优劣排序和选择方面具有较强的可行性和可操作性。     

Educational hazards? The politics of disaster risk education in Rio de Janeiro

Disaster education outcomes are highly dependent on the political context of that education. Based on a rich, in‐depth case study of the creation of community monitors in a landslide and flood‐prone city in southeast Brazil, this paper demonstrates how developmental and political environments add much additional nuance to existing theories of behaviourist and transformative education for disaster preparedness and mitigation. Beyond identifying the benefits of education, it argues that disaster risk reduction outcomes are reliant on governance frameworks that alter over time. The study reveals the political complexity associated with programme implementation and cites the perspectives of a number of participants. Disaster education is shown to be the necessary yet underappreciated twin of the militarised and technical approaches that dominate disaster response in Brazil. Understated, however, is education's situatedness: how it can become an arena of conflict between government and civil actors over matters of state and society in increasingly hazardous urbanisation settings in Latin America.     

The continued operation of businesses after an earthquake: a case study from Lushan County,China

This study performed a comparative analysis of changes in the operating status of initial surviving disaster‐stricken businesses and non‐disaster‐stricken businesses in Lushan County, China, after a devastating earthquake on 20 April 2013. It used a logistic regression model to explore the key factors associated with ‘post‐disaster continued business operation’ in the long term. Field data were collected from 1,078 businesses and questionnaire data from 263 small businesses between 2013 and 2017. The results indicate that a higher proportion of initial surviving disaster‐stricken businesses than non‐disaster‐stricken businesses managed to remain operational in each observation period. The continued operation of disaster‐stricken businesses after the earthquake was positively associated with the owner's age, previous disaster experience, pre‐disaster financial conditions, closure duration, and borrowing money from family or friends. A negative association was found with the size of the business. The findings serve as a vital reference for strategies to promote post‐disaster continued business operation.     

Operational risk assessment: A case of the Bhopal disaster

Accidental releases of hazardous chemicals from process facilities can cause catastrophic consequences. The Bhopal disaster resulting from a combination of inherently unsafe designs and poorly managed operations is a well-known case. Effective risk modeling approaches that provide early warnings are helpful to prevent and control such rare but catastrophic events. Probability estimation of these events is a constant challenge due to the scarcity of directly relevant data. Therefore, precursor-based methods that adopt the Bayesian theorem to update prior judgments on event probabilities using empirical data have been proposed. The updated probabilities are then integrated with consequences of varying severity to produce the risk profile.This paper proposes an operational risk assessment framework, in which a precursor-based Bayesian network approach is used for probability estimation, and loss functions are applied for consequence assessment. The estimated risk profile can be updated continuously given real-time operational data. As process facilities operate, this method integrates a failure-updating mechanism with potential consequences to generate a real-time operational risk profile. The real time risk profile is valuable in activating accident prevention and control strategies. The approach is applied to the Bhopal accident to demonstrate its applicability and effectiveness.     

公众对煤矿区地质灾害的感知与适应行为研究

煤矿区的地质灾害较为常见,而且随着开采时间的推移地质灾害问题日益严重。公众对煤矿区地质灾害的感知与适应行为直接与他们的生命财产相关,同时还关系到政策法规的制定。通过对煤矿区公众的问卷调查发现,公众对地质灾害的严重程度和灾害原因感知是比较准确的,但仍有相当比例的公众选择采取无效的紧急适应行为,有近三分之一的公众没有考虑采用迁移的适应行为。公众对煤矿区地质灾害适应行为的背后涉及利益相关方的博弈。     

2013年北川聚落空间的地质灾害灾情分析

北川羌族自治县是2008年汶川8.0级地震的极重灾区之一。2013年7月8-12日,北川县境内普降暴雨,引起地质灾害事件大面积爆发。洪灾之后的灾情普查数据表明,县域内共有1 318个居民点受到各类地质灾害的威胁,这些地质灾害点的类型多样、分布广泛并且所造成的危害严重。根据灾情普查数据,按乡镇单元提取了各自的灾害点数量、受威胁面积、受威胁户数、受威胁人数、受威胁财产以及防治费用等6个指标,采用主成分分析方法来进行地质灾害灾情的综合评价,根据各乡镇的综合得分对乡镇的灾情进行了排序。这个评价结果较好地反映了各乡镇之间的灾情差异,也为上一级政府进行诸如制定乡镇社会经济发展指标、决定防灾减灾资金及技术力量的投向等行政决策提供了直接依据。     

铁路水害特征与致灾概率预测模型研究

我国铁路水害频发且损失巨大,如何有效防范,已成业界难题,更为运营部门汛期工作重点。但铁路水害泛指由降水或其他水源造成断道、限速事故的灾害,预测预报缺乏针对性。鉴于此,首先,借鉴水利学水害概念,丰富了铁路水害的机理内涵,再结合铁路调研,明确了预测目标的外延;其次,基于京广线湖(南)广(东)区段水害气象、地质与设施条件统计,分析了铁路水害的时空分布特征,建立了致灾因子指标体系;最后,针对降水这一关键诱发因子,筛选出1 h与日降雨量两个相关性最强的计算参数,建立了logistic概率预测模型。模型检验表明:其统计学检验通过,且对于灾害实际情况预测效果较好,可为铁路水害风险管理及防范措施的制定提供参考。     

How communities' perceptions of disasters influence disaster response: managing landslides on Mount Elgon,Uganda

The aim of this paper is to assess the role of people's perception in disaster management. It is based on a study carried out along the slopes of Mount Elgon in Eastern Uganda. People living in the study area have experienced a number of landslides, but the landslide in 2010 had the most far‐reaching effects on community livelihoods and resulted in a major setback to development efforts in the area. Experiences of landslides have enabled the local people to develop a number of interpretations of the causes and effects of the phenomena. The study revealed that community members did not share uniform perceptions. Whereas some members advanced technical or physical explanations for the 2010 disaster, others believed that some form of divine power was behind it. Strengthening social networks and integrating communities' perceptions in intervention mechanisms were identified as possible ways of managing future landslide disasters.     

重庆市综合灾害风险模糊综合评价

在重庆市灾害系统研究的基础上,依据科学性、系统性、可靠性和简明性的原则,结合实际选取评价因子,初步建立了重庆市综合灾害风险评价指标体系。以统计资料及政府公开资料为主要数据来源。使用模糊综合评判(FCE)方法构建数学模型,采用二级综合评判对重庆市各评价单元灾害风险度进行评判。根据最大隶属度原则,将重庆市各区县灾害风险度划分为五个等级,并使用GIS软件生成"重庆市灾害风险等级分布图"。最后对评判结果分析得出以下结论:(1)重庆市整体灾害综合风险水平较高;(2)全市存在两个灾害高风险等级中心;(3)沿长江、嘉陵江、乌江干流的各区县综合灾害风险等级高于其他各区县。