认知资源对公众城市气象灾害防御支付意愿的影响研究——基于南京市暴雨灾害防御的实证

城市气象灾害防御措施的改进是防灾减灾的有效手段,但如何在辨识公众支付意愿的基础上,构建多方成本分担的灾害防御制度是解决问题的关键。从成本分担的视角出发,以南京暴雨灾害防御为例,分析公众对增强型城市气象灾害防御的支付意愿及认知资源在其中的重要作用。通过构建由Probit模型和有序Probit模型组成的递归混合模型,探讨认知资源和经济资源在公众支付决策中的重要性。研究表明:认知资源的作用十分明显,且随着公众对暴雨灾害风险感知、防御措施了解程度、防御制度认可程度的提高,公众支付意愿越强。而暴雨灾害风险感知又受到灾害趋势认知和经历的共同影响,这两个变量分别影响风险感知的广度和深度,但受教育程度对风险感知深度的影响并不显著。核心建议是从满足公众对城市暴雨灾害风险、防御措施、灾害趋势等知识的需求,政府应该加强暴雨灾害科普宣传的主动性、提升主管和协同部门的公信力;规范科普知识内容、拓宽科普渠道。     

Trust,but verify: social media models for disaster management

A lack of trust in the information exchanged via social media may significantly hinder decisionmaking by community members and emergency services during disasters. The need for timely information at such times, though, challenges traditional ways of establishing trust. This paper, building on a multi‐year research project that combined social media data analysis and participant observation within an emergency management organisation and in‐depth engagement with stakeholders across the sector, pinpoints and examines assumptions governing trust and trusting relationships in social media disaster management. It assesses three models for using social media in disaster management—information gathering, quasi‐journalistic verification, and crowdsourcing—in relation to the guardianship of trust to highlight the verification process for content and source and to identify the role of power and responsibilities. The conclusions contain important implications for emergency management organisations seeking to enhance their mechanisms for incorporating user‐generated information from social media sources in their disaster response efforts.     

新疆拟建铁路沿线雪风灾分区和致灾性分析

对1990-2000年新疆铁路沿线地区220个大风灾害日和2000-2010年300个大(暴)雪日灾情进行了分析,以1961-2008年年均冬季最大雪深、1961-2010年年均最大风速和致灾性大风日数及承灾体脆弱性作为铁路沿线雪风灾评价指标,基于GIS空间分析对拟建铁路沿线地区的雪风灾进行了区域划分和致灾性定量分析。结果表明:①冬春季是铁路沿线雪灾高发季。拟建铁路阿勒泰-富蕴段、塔城-额敏段为重雪灾区。在铁路弯道设计、防风墙建设方面应进行严格科学论证,作好积雪防护。②大风致灾事件多发生在4-6月。拟建铁路吐鲁番境内柴窝铺-了墩段位于大风高值区,年均大风日60 d以上,哈密-若羌段40 d左右,塔什库尔干-阿克陶段25 d左右。建议在大风地区修建"挡风墙"并修建防护林带和保护铁路沿线现有稀疏植被。     

四川省绵竹至茂县公路工程地质遥感调查与评价

以绵竹至茂县公路沿线为研究区,应用遥感技术调查走廊带内地质灾害发育分布状况,结合公路勘察需要,从工程地质角度出发,选择地质灾害类型、分布位置、规模、稳定性/易发性、运动方向5个方面作为地质灾害对线路影响的评价指标,并建立针对不同灾害类型的线路影响程度评价方法,评价结果为公路选线和后期详勘奠定了基础。     

Does community resilience mitigate loss and damage from climaterelated disasters? Evidence based on survey data

Policy-makers view community resilience as fundamental to mitigating loss and damage from climate-related disasters. Although energy has been devoted to defining resilience, less effort has been devoted to analysing the effects of resilience on loss and damage, which is critical in places with limited capacity for adaptation. We use survey data to develop a composite index of community resilience in Fiji and then evaluate the extent to which community resilience mitigates loss and damage. We find that community resilience is negatively correlated with damages over which human intervention may be effective, but not with damages over which intervention is less effective, suggesting that community resilience may limit impacts. We further find that this result holds for a cyclone (about which communities had substantial advance warning) but not for river flooding (for which communities had little advanced warning), suggesting that early warning is necessary for community resilience to become responsive.     

Cash and voucher assistance along humanitarian supply chains: a literature review and directions for future research

This study reviews research on cash and voucher assistance (CVA) by applying a humanitarian supply chain management perspective. A systematic literature review was conducted to identify, analyse, and synthesise past academic research. The content, context, and process framework was used to structure the content analysis. The findings reveal that the outcomes of CVA programmes are dependent on critical context-specific variables that influence feasibility and operability. Humanitarian actors must consider factors that are external (the nature of disaster, politics, economy, and infrastructure) and internal (local market availability and accessibility, supplier/donor interest, supplier/vendor selection and contracting, and beneficiary preference) to the supply chain. The delivery process is influenced by them, impacting on programme responsiveness and cost-efficiency. The results provide insights that humanitarian practitioners can utilise to reconsider their supply chain strategies when deciding on the selection and implementation of CVA programmes. Potential literature gaps are identified, and recommendations for further research are provided.     

湖北省旱涝灾害的基本特征与成因分析

湖北省是我国自然灾害多发省份之一，其中旱涝灾害尤为严重，是社会经济发展的一大制约因素。首先研究了湖北省旱涝灾害的基本特征，认为按出现时段，洪涝可分为梅涝、盛夏涝、春涝和秋涝，干旱可分为伏秋干旱、春夏干旱、秋季干旱和冬季干旱，因而具有季节性；各区灾害严重程度不同，干旱可分为鄂东北干旱严重区、鄂东中部伏秋旱严重区、鄂西北春夏旱严重区和鄂西南干旱不严重区，洪涝可分为鄂东中部和江汉平原梅涝区、鄂东北和鄂东南春梅涝严重区、鄂西南夏秋涝区和鄂西北和三峡河谷少涝区，因而具有区域性；此外，还具有延续性、阶段性、周期性和连发性等特征。分析了湖北省旱涝灾害形成的主要因素，认为旱涝灾害是在天气气候因素、地貌因素、环境资源因素、抗灾能力因素、社会经济因素等自然因素和人为因素的共同作用下产生和发展的；旱涝灾害的形成，自然条件固然很重要，但形成严重灾害，则与人为因素有密切关系，这在20世纪表现得尤为明显。     

贵州省主要地质灾害危险度区划研究

结合贵州省地理环境和地质灾害特征,选择地形地貌、工程地质岩组、断裂构造作用、河流切割程度、年均降雨量及历史地质灾害分布密度等6个一级区划指标和24个二级区划指标,采用黄金分割法确定各指标的权重;应用综合分析的因子叠加法,按4级危险度分区标准,对贵州省主要地质灾害危险度进行区划。区划结果包括:极高危险区约3.22×104km2;高危险区约0.85×104km2;中危险区约2.99×104km2;低危险区约10.56×104km2。采用离散多态系统可靠度的矩阵分析法,认为贵州主要地质灾害发生的危险性主要处在中危险区。     

龙门山区震后山地灾害地质因素敏感性评价

从与山地灾害关系密切的地质环境条件入手,选择了岩性和断裂带大指标,以龙门山区为典型区,根据灾害发生学原理,建立敏感性评价模型,定量分析了岩性、断裂带等对山地灾害的敏感性,并根据敏感性指标对研究区进行了敏感性区分。结果表明:岩性对山地灾害的敏感性从大到小依次为次硬岩硬岩软岩层极软岩层;断裂带对山地灾害的敏感度主要集中在距离断裂带0~2 km范围内。     

Organisational learning and self-adaptation in dynamic disaster environments

This paper examines the problems associated with inter-organisational learning and adaptation in the dynamic environments that characterise disasters. The research uses both qualitative and quantitative methods to investigate whether organisational learning took place during and in the time in between five disaster response operations in Turkey. The availability of information and its exchange and distribution within and among organisational actors determine whether self-adaptation happens in the course of a disaster response operation. Organisational flexibility supported by an appropriate information infrastructure creates conditions conducive to essential interaction and permits the flow of information. The study found that no significant organisational learning occurred within Turkish disaster management following the earthquakes in Erzincan (1992), Dinar (1995) and Ceyhan (1998). By contrast, the 'symmetry-breaking' Marmara earthquake of 1999 initiated a 'double loop' learning process that led to change in the organisational, technical and cultural aspects of Turkish disaster management, as revealed by the Duzce earthquake response operations.