A Study of Global Change Population and Economic System Risk Forming Mechanism and Assessment

Global climate change featured with warming has created serious challenge to world sustainable development and human security. It has become an important consensus of the international society to assess global change risk at the global scale and carry out tailored governance and risk-based adaptation. National Key Research and Development Program “Study on global change population and economic system risk forming mechanism and assessment” aims at quantitatively predicting future global climate change and population and economic system exposure and vulnerability change, developing global change population and economic system risk assessment model based on complex system dynamics, synthesizing risk assessment model with proprietary intellectual property rights, assess global change population and economic system risk of the near and mid future at the global scale, and compiling the atlas of global change population and economic system risk. The outcomes intend to serve the participation of global risk governance and international climate negotiation, and to provide scientific support to the implementation of international disaster risk reduction strategy.     

中国自然灾害综合风险预测与分区减灾对策

中国自然灾害风险具有比较鲜明的区域规律：绝对风险自西向东,自北向南,即由内陆向沿海持续升高;相对风险是中部区域高,西部,北部区域和沿海地带较低。根据不同区域的灾害风险水平和减害基础,对不同地区分层次部署和实施减灾工作;城市和沿海地区,建立完整有效的减灾体系,实现全面减灾体系,实现全面减灾;中部地区以农业减灾为重点,在加强区域环境保护的同时,加强大江大河防洪和农田抗旱排涝工程;西部区域在注重区域环境     

永泰县城峰镇旗山小区后山滑坡现场应急调查及处置分析

2010年5月20日,受连续降雨影响,福建省永泰县城峰镇旗山小区后山发现有滑坡地质灾害隐患,后山中下部产生多条35~80m长拉裂缝,坡脚崩塌不断,潜在滑坡规模约8104m3,存在继续下滑的危险,情况十分危急,威胁坡脚居民2565人的生命和约5.38亿元财产。本文在对灾害现场进行详细地质调查的基础上,结合现场测绘、监测等手段,对该滑坡体的基本特征进行了较深入的调查研究,对滑坡发生及成灾原因进行了初步分析。结果表明,滑坡区地形条件及岩土体特征是滑坡发生的基本条件,连续降雨的饱水加载作用以及雨水沿节理裂隙结构面的下渗软化作用是诱发滑坡发生的直接原因。同时,根据滑坡险情特征,提出了应处置建议及应急卸载措施。最后,根据监测结果信息化指导应急卸载工作,确保了施工安全及受灾群众的生命财产安全。本次成功排险,对指导福建海沿地区地质灾害应急处置工作提供了科学依据。     

隧道与地下工程风险评估方法研究进展

风险评估是隧道与地下工程风险管理的核心,是系统地识别工程风险和科学合理地管理风险之间重要的纽带,是决策分析的基础。本文介绍了隧道与地下工程风险评估的基本概念、国内外风险评估方法的研究和应用现状以及近年来主要应用的几种风险评估方法。探讨了目前风险评估方法需要解决的问题和今后的研究方向。     

电气-几何模型在雷击风险评估中计算Cd值的应用

雷击风险评估中,考虑周围物体对评估目标物直接雷击次数的影响而引入了位置因子Cd,若Cd取值不能真实反映影响程度,将导致评估结果出现较大误差。本文利用电气—几何模型,根据周围物体和评估目标物高度以及两者的间距,按照绕击的计算方法,计算最大绕击电流Im,进而求得大于Im雷电流概率P,位置因子Cd取值确定为（1-P）值。     

基于多租户的高性能地震保险损失评估SaaS云平台设计与实现

地震巨灾风险的特点是低频高损,历史震害数据缺乏、风险暴露快速变迁等因素导致基于大数定理的费率厘定方法无法针对各区域不同建筑类型的风险暴露进行精细化定价。本文基于“五代图”潜在震源区模型的随机事件集解决观测数据不足的问题;并使用“五代图”所采用的地震动参数衰减关系模型与工程易损性方法计算地震事件对风险暴露造成的损失,从而计算费率厘定、地震风险管理需要的必备参数。本文采用云计算平台的弹性伸缩计算技术,实现动态按需分配计算资源,满足多用户并发使用的业务需求;同时采用以业务数据为单元的数据隔离方案,构建支持多租户的高性能地震保险损失评估SaaS云平台。     

滑坡风险评价的理论与方法研究

作为防灾减灾的重要措施之一,滑坡风险评价已经成为近年来国际上滑坡研究的热点,并形成了较为完备的滑坡风险管理体系。国内的滑坡风险研究则起步较晚,滑坡风险评价的关键支撑技术体系尚未建立。本文对滑坡风险评价中的关键理论和方法进行梳理,阐述了国际滑坡风险评价的理论框架和技术流程,介绍了国内外滑坡易发性、危险性和风险评价的最新进展,评述了滑坡易发性评价、扩展范围预测、频率分析以及承灾体易损性评价的主要方法,阐明了现阶段滑坡风险评价的重点领域和前沿科学问题,并对滑坡灾害的风险评价提出了三点展望。     

Evaluation models of insurers’ risk management based on large system theory

The financial supply chain is increasingly recognized as an area offering significant potential for generating bottom-line improvements and creating competitive advantage. Insurers’ appraisal is one of the basic decisions for a company, and the choosing course has always many criterions. Considering the stability of the financial supply chain, the coordination evaluation and fuzzy multi-objective evaluation model of insurers’ risk management are firstly studied in this paper by using large system theory and methods. The corresponding coordination evaluation index model is then established to evaluate, forecast and control the actuality and the future of risk coordination management, and to improve the durative development for a combination pension model. The evaluation standards of numerous insurers are established to constitute a set of vectors. By presenting a dimensional point to each insurer, the optimal or the worst insurer is decided. Finally, the distances of each insurer to the optimal or the worst insurer on the basis of the Euclidean distance are counted, and the insurers’ ordering according to the value of distances is sorted out. The financial supply chain and large system theory and methods are combined to contribute new evaluation models that revise the deficiency of intrinsic model and improve the financial stability.     

Three-dimensional slope reliability and risk assessment using auxiliary random finite element method

This paper aims to propose an auxiliary random finite element method (ARFEM) for efficient three-dimensional (3-D) slope reliability analysis and risk assessment considering spatial variability of soil properties. The ARFEM mainly consists of two steps: (1) preliminary analysis using a relatively coarse finite-element model and Subset Simulation, and (2) target analysis using a detailed finite-element model and response conditioning method. The 3-D spatial variability of soil properties is explicitly modeled using the expansion optimal linear estimation approach. A 3-D soil slope example is presented to demonstrate the validity of ARFEM. Finally, a sensitivity study is carried out to explore the effect of horizontal spatial variability. The results indicate that the proposed ARFEM not only provides reasonably accurate estimates of slope failure probability and risk, but also significantly reduces the computational effort at small probability levels. 3-D slope probabilistic analysis (including both 3-D slope stability analysis and 3-D spatial variability modeling) can reflect slope failure mechanism more realistically in terms of the shape, location and length of slip surface. Horizontal spatial variability can significantly influence the failure mode, reliability and risk of 3-D slopes, especially for long slopes with relatively strong horizontal spatial variability. These effects can be properly incorporated into 3-D slope reliability analysis and risk assessment using ARFEM.     

Agricultural risk management policies under climate uncertainty

Climate change is forecasted to increase the variability of weather conditions and the frequency of extreme events. Due to potential adverse impacts on crop yields it will have implications for demand of agricultural risk management instruments and farmers’ adaptation strategies. Evidence on climate change impacts on crop yield variability and estimates of production risk from farm surveys in Australia, Canada and Spain, are used to analyse the policy choice between three different types of insurance (individual, area-yield and weather index) and ex post payments. The results are found to be subject to strong uncertainties and depend on the risk profile of different farmers and locations; the paper provides several insights on how to analyse these complexities. In general, area yield performs best more often across our countries and scenarios, in particular for the baseline and marginal climate change (without increases in extreme events). However, area yield can be very expensive if farmers have limited information on how climate change affects yields (misalignment in expectations), and particularly so under extreme climate change scenarios. In these more challenging cases, ex post payments perform well to increase low incomes when the risk is systemic like in Australia; Weather index performs well to reduce the welfare costs of risks when the correlation between yields and index is increased by the extreme events. The paper also analyses the robustness of different instruments in the face of limited knowledge of the probabilities of different climate change scenarios; highlighting that this added layer of uncertainty could be overcome to provide sound policy advice under uncertainties introduced by climate change. The role of providing information to farmers on impacts of climate change emerges as a crucial result of this paper as indicated by the significantly higher budgetary expenditures occurring across all instruments when farmers’ expectations are misaligned relative to actual impacts of climate change.