一种基于微服务架构的突发事件预警辅助决策系统的设计与实现

单体式架构应用在突发事件预警辅助决策系统开发中不能满足现实需求,本文引入了微服务架构设计开发该辅助决策系统.通过分析微服务架构在复杂系统中相对于传统单体式架构的应用优势,设计出一种基于微服务架构的突发事件预警信息发布辅助决策系统,该系统选用Spring Cloud微服务框架,并对其进行适当的扩展,创建了基于该系统设计的注册中心与网关.系统采用二三维一体化地理信息系统作为展示平台,通过接入各行业静态、危险源动态监测数据,根据设定的模型进行数据融合、处理,辅助进行预警信息生成、发布及应急处置阶段的指挥决策.所设计方案在湖北省突发事件预警发布辅助决策系统中得以实际应用,验证了该类系统使用微服务架构的合理性和有效性.     

Probabilistic Approach of Coastal Defense Against Typhoon Attacks for Nuclear Power Plant

With the global wanning and sea level rising, it is widely recognized that there is an increasing tendency of typhoon occurrence frequency and intensity. The defenses code against typhoon attacks for nuclear power plant should be calibrated because of the increasing threat of typhoon disaster and severe consequences. This paper discusses the probabilistic approach of definitions about "probable maximum typhoon" and "probable maximum storm surge" in nuclear safety regulations of China and has made some design code calibrations by use of a newly proposed Double Layer Nested Multi-objective Probability Model (DLNMPM).     

基于梯度分析法的长江上游水库群供水-发电-环境互馈关系解析

长江上游水资源耦合系统优化调控涉及供水、发电和生态需水等相互竞争、不可公度的调控目标。其供水-发电-环境互馈协变机制难以数学解析和刻画，多维目标效益均衡优化调控难以实施。为此，以多目标优化、运筹学理论及方法为基础，提出了基于梯度分析法的供水-发电-环境两两互馈关系研究方法。通过多目标约束优化方法求解长江上游水库群联合优化调度在供水-发电-环境目标空间的最优解集，并进行插值构造了供水-发电-环境互馈关系多维空间曲面，以此为基础，采用一阶差分近似求解供水对环境和发电对环境偏导函数值，以量化环境对供水变化和发电变化响应的梯度，进而解析环境-供水和环境-发电间互馈协变关系。该方法为水库群优化调度多目标互馈关系研究提供了一种新的思路。     

广西便携式决策气象服务系统

介绍广西便携式决策服务系统的设计思路和开发过程，指出：融合因特网浏览器技术、以Ｗｅｂ网站和超文本网页方式来组织构建决策气象眼务系统，是实现决策服务内容表现形式向生动化、形象化和多媒体化转变的重要途径。     

水资源优化利用中两类数学模型间的分析比较

近期全球气候变化及人类经济活动规模的扩大，对人类赖以生存的自然环境造成很大影响，其中维持生态平衡的主导因子之一──水资源时空分布的变化，引起了人们极大的关注。尤其是干旱地区水资源表现出的稀缺性，已严重影响到人们将来的生存和经济发展问题。针对这种情况，人们在开发和利用水资源的过程中，建立了各种模型，以期对水资源进行精确的定量化研究，达到对水资源优化利用和管理的目的。通过比较“连续寻优的优化模型”和“离散方案的多目标密切值模型”，分析其各自的原理和规化思想，对其各自的预测功能进行了讨论，进而说明了两类模型的应用范围。提出将两类模型加以综合，然后应用于同一研究地区、以期得到更为优良的结果，为研究地区的经济发展提供可靠的决策依据。     

工程结构抗震设防标准的决策分析

提出了工程结构抗震设防标准的决策方法,该决策方法以结构初始造价分析和地震损失分析为基础。建立了结构初始造价与设计烈度的关系,并提出了地震损失的估计方法。使用该决策方法导出了最佳设计烈度和重现周期的解析表达式,从而得出了对抗震设计具有重要意义的结论。     

基于可持续发展的区域水资源多目标优化配置研究

以区域经济发展与水环境保护相协调为目标,考虑社会各产业经济部门的污水处理和节水调节的控制作用,建立水资源多目标优化配置模型,并利用模糊理论构建评价函数。通过应用于盐城市水资源的优化配置,计算分析结果表明该方法具有良好的可行性和合理性。     

未来的天气气候预测体系

天气气候预测中的不确定性是不可避免的。它一方面给用户或有关决策者带来很大的困难，同时也给科学工作者提出了新的研究课题。文章较为系统地评述了近几年出现的关于如何发展未来气象预测体系的若干观点，根据风险经济学和决策理论，构建了一个未来天气气候预测体系的概念模型。其主要思想是将气象预测过程同用户决策过程有机地结合起来，充分利用来自用户的知识和风险管理经验，形成一个相互作用协同发展的预测体系。     

It starts at home? Climate policies targeting household consumption and behavioral decisions are key to low-carbon futures

Through their consumption behavior, households are responsible for 72% of global greenhouse gas emissions. Thus, they are key actors in reaching the 1.5 °C goal under the Paris Agreement. However, the possible contribution and position of households in climate policies is neither well understood, nor do households receive sufficiently high priority in current climate policy strategies. This paper investigates how behavioral change can achieve a substantial reduction in greenhouse gas emissions in European high-income countries. It uses theoretical thinking and some core results from the HOPE research project, which investigated household preferences for reducing emissions in four European cities in France, Germany, Norway and Sweden. The paper makes five major points: First, car and plane mobility, meat and dairy consumption, as well as heating are the most dominant components of household footprints. Second, household living situations (demographics, size of home) greatly influence the household potential to reduce their footprint, even more than country or city location. Third, household decisions can be sequential and temporally dynamic, shifting through different phases such as childhood, adulthood, and illness. Fourth, short term voluntary efforts will not be sufficient by themselves to reach the drastic reductions needed to achieve the 1.5 °C goal; instead, households need a regulatory framework supporting their behavioral changes. Fifth, there is a mismatch between the roles and responsibilities conveyed by current climate policies and household perceptions of responsibility. We then conclude with further recommendations for research and policy.