WEATHER AND CLIMATE EXTREMES,CLIMATE CHANGE,AND PLANNING: Views of Community Water System Managers in Pennsylvania's Susquehanna River Basin1

ABSTRACT: This research examines the sensitivity and vulnerability of community water systems (CWSs) to weather and climate in the Pennsylvania portion of the Susquehanna River Basin. Three key findings emerge from a survey of 506 CWS managers. First, CWSs are sensitive to extreme weather and climate, but that sensitivity is determined more by type of system than system size. CWSs that rely partly or wholly on surface water face more disruptions than do groundwater systems. Larger systems have more problems with flooding, and size is not a significant determinant of outages from storms or disruptions from droughts. Second, CWS managers are unsure about global warming. Few managers dismiss global warming; most think global warming could be a problem but are unwilling to consider it in their planning activities until greater scientific certainty exists. Third, the nature of the CWS, its sensitivity to weather and climate, and projected risks from weather and climate are insignificant determinants of how managers plan. Experienced, full-time managers are more likely to consider future weather and climate scenarios in their planning, while inexperienced and part-time managers are less likely to do so. Implications of these findings include support for efforts to move away from surface water, for clear communication of climate change information, and for the hiring and retention of full-time professional CWS managers.     

回采工作面瓦斯涌出特征及其灰色预测模型

在分析回采工作面瓦斯涌出特征的基础上 ,分别建立了回采工作面瓦斯涌出量与采深和工作面产量关系灰色预测 GM(1,1)改进模型 ,以预测工作面在不同采深与产量时的瓦斯涌出量。实际应用表明 ,预测模型可信 ,精度能满足要求。     

等维灰数递补动态模型在生活垃圾产生量预测中的应用

本文探讨了等经今天为数递补GM（1,1） 模型在垃圾产生量长期预测中的具体应用,比较了该模型与普通二次拟合灰色要 预测精度及预测值的灰区间方面的判别,说明了等维灰数递补GM（1,1）模型在作长期预测时具有一定的优越性。     

水环境综合整治方案灰色多目标优化模型

水环境综合整治方案的优化决策必须考虑社会、经济、技术、环境等多种指标,在这些指标中既有已知信息,又有未知或未确知的灰色信息。因此,水环境综合整治方案的优化属于灰色多目标优化问题。本文利用灰色多目标优化模型,选取六个优化指标,对宣州市水环境综合整治的五种可行方案进行了优化决策,得到了符合当地社会、经济、技术和环境状况的优化方案。研究表明,该模型原理简单、计算简便、结果可靠,是一种很有实用价值的多方案优化模型。     

城市污水处理厂工艺方案选择的辅助决策模型

针对目前城市污水处理厂工艺方案选择中存在着较大的主观随意性和不确定性,以及多指标、多层次的特点,将层次分析法与灰色关联分析相结合,提出了工艺方案选择的多层次模糊灰色耦合模型,用于实际方案选择的辅助决策工具。并运用该模型进行了实例研究。     

Assigning trend-based conservation status despite high uncertainty

Estimates of temporal trends in species’ occupancy are essential for conservation policy and planning, but limitations to the data and models often result in very high trend uncertainty. A critical source of uncertainty that degrades scientific credibility is that caused by disagreement among studies or models. Modelers are aware of this uncertainty but usually only partially estimate it and communicate it to decision makers. At the same time, there is growing awareness that full disclosure of uncertainty is critical for effective translation of science into policies and plans. But what are the most effective approaches to estimating uncertainty and communicating uncertainty to decision makers? We explored how alternative approaches to estimating and communicating uncertainty of species trends could affect decisions concerning conservation status of freshwater fishes. We used ensemble models to propagate trend uncertainty within and among models and communicated this uncertainty with categorical distributions of trend direction and magnitude. All approaches were designed to fit an established decision-making system used to assign species conservation status by the New Zealand government. Our results showed how approaches that failed to fully disclose uncertainty, while simplifying the information presented, could hamper species conservation or lead to ineffective decisions. We recommend an approach that was recently used effectively to communicate trend uncertainty to a panel responsible for setting the conservation status of New Zealand's freshwater fishes.     

基于国际经验的环境和健康风险管理框架的构建(International-Based Development of Risk Management Framework for Environmental and Human Health Risks)

通过对欧洲国家及澳大利亚、新西兰所使用的风险评价与风险管理方法的全面回顾和综合分析,探讨了各种不同方法的异同及利弊,辨识了环境和人类健康风险的有效、通用和综合方法中所遵循的决策清单.根据先进国家的经验,提出了构建中国环境风险管理的标准、结构及流程,以期为我国环境风险管理提供决策支持.     

考虑提示学习的洪涝灾害应急决策自动问答模型研究

为提高洪涝灾害应急处置时效性和科学性,构建洪涝灾害应急决策自动问答系统模型,以提高应急指挥团队的决策效率,在分析洪涝灾害应急决策逻辑基础上,以摘要式问答为任务框架,收集整理包含洪涝灾害应急情景和应急决策的摘要式问答对数据集,建立可用于问答生成的GPT2预训练语言模型,并引入提示学习(Prompt-learning),通过自动创建连续型前缀提示(Prompt),优化少量连续参数,缓解问答对数据较少带来的过拟合风险,利用人工评估和自动评估2种方法验证模型的有效性。研究结果表明：通过GPT2与提示学习相结合建立的自动问答模型,可根据洪涝灾害情景生成语言质量良好及决策信息丰富的答案,有利于提高洪涝灾害应急处置中的科学决策能力。     

地震系统基层领导者如何做好有效决策之探讨

通过对重庆市黔江区小南海古地震遗址的保护的申报立项和综合开发问题的决策过程 ,从理论和实践两个方面论述了领导者应如何作出有效决策。主要是深入调查研究 ,找出关键问题 ;组织和依靠专家评审 ,选择最佳方案 ;合理冒险与避险 ,作出大胆决策。     

Guidance to improve the effectiveness of process safety management systems in operating facilities

The Process Safety Management (PSM) systems at the operating facilities in the Oil & Gas and in Chemical manufacturing industries have matured over the years and have become, at most facilities, very robust and sophisticated. These programs are administrated by Process Safety (PS) teams at both the corporate business units and plant levels and have been effective in reducing the number and severity of PS events across the industries over the past 25 years or so. Incidents however are occurring at a regular interval and in recent times several noteworthy PS events have occurred in the United States which have brought into question the effectiveness of the PSM programs at play. These facilities have been applying their PSM programs with the expectation that the number and severity of PS events would decrease over time. The expected result has not been realized, especially in context to those facilities that have undergone the recent incidents. Current paper reviews a few publicly available PS performance reports of Oil & Gas and Chemical manufacturing industries. The authors identified a few factors at play that have led to these PS events based on their experience, literature review, and incident investigation reports. Most of the factors are intertwined with multiple PSM elements and it requires a holistic approach to address them. Each of the factors is described and the path forward is proposed to improve the effectiveness of PSM programs.