德国《环境责任法》的基本内容和特色介评

简要论述了德国《环境责任法》的主要内容和特色 ,包括因果关系推定、无过失责任原则、受害人的咨询请求权制度以及责任保险、财务担保制度等。     

除尘器优化选型的模糊数学模型

应用模糊数学和系统工程的原理和方法，对除尘器的优化选型进行了分析和研究，提出了一种除尘器优化选型的模糊数学模型，并对该模型的有效性和精确性进行了实例验证。     

一种基于状态向量推理的SDG-HAZOP分析方法

HAZOP是分析系统可靠性的一种有效方法,在石油、化工工业中得到了广泛应用。但人工HAZOP分析存在费时、费力、成本高等缺点,而计算机辅助SDG-HAZOP分析的提出有效地改善了人工分析的弊端,然而传统的计算机辅助SDG-HAZOP是纯定性的分析与推理,分析的结果往往过于冗繁。本文介绍了一种改进的基于状态向量推理的计算机辅助SDG-HAZOP分析方法,该方法基于SDG定性模型,构造了一个计算机自动推理引擎,并引入了状态向量的概念,通过正向反向推理,快速高效地发掘出偏差产生的后果和原因。通过应用实践表明,与人工HAZOP分析法和现有SDG-HAZOP分析方法相比,该方法具有完备性好、评价结果系统性和条理性强等优点。     

Psychological Reactance From Reading Basic Facts on Climate Change: The Role of Prior Views and Political Identification

Scholars continue to search for solutions to shift climate change skeptics’ views on climate science and policy. However, research has shown that certain audiences are resistant to change regarding environmental issues. To explore this issue further, we examine the presence of reactance among different audiences in response to simple, yet prominently used, climate change messages. Our results show that emphasizing the scientific consensus of climate change produces reactance, but only among people who question the existence of climate change. Moreover, adding political identification to the model as an additional moderating variable shows the increases in reactance occur among Republicans who question the existence of climate change. Finally, our results show that reactance to climate change messaging may lead to backfiring effects on important outcomes tied to climate change such as risk perceptions, climate change beliefs, and support for mitigation policies.     

Unintended Effects of Emphasizing the Role of Climate Change in Recent Natural Disasters

In 2017, the United States experienced a series of natural hazards (hurricanes, wildfires, and blizzards) that resulted in significant loss of life and property. Emphasizing the role of climate change in these events might offer an important tool for engagement, particularly with skeptical audiences. However, in a survey experiment (N?=?1504) involving three different natural hazards – hurricanes, wildfires, and blizzards – we find that emphasizing the role of climate change in these hazards produced unintended effects for climate change skeptics. In particular, skeptics experienced resistance to the news article, which associated with reduced perceived hazard severity. These backfiring effects likely serve as a defensive mechanism used by skeptics to maintain their prior views of climate change, illustrating the challenges faced in communicating climate change to skeptical audiences. These findings offer additional insight for those attempting to communicate climate-related risk information to skeptical audiences.     

Applying Statistical Causal Analyses to Agricultural Conservation: A Case Study Examining P Loss Impacts

Estimating the effect of agricultural conservation practices on reducing nutrient loss using observational data can be confounded by factors such as differing crop types and management practices. As we may not have the full knowledge of these confounding factors, conventional statistical meta‐analysis methods can be misleading. We discuss the use of two statistical causal analysis methods for quantifying the effects of water and soil conservation practices in reducing P loss from agricultural fields. With the propensity score method, a subset of data was used to form a treatment group and a control group with similar distributions of confounding factors. With the multilevel modeling method, data were stratified based on important confounding factors, and the conservation practice effect was evaluated for each stratum. Both methods resulted in similar estimates of the conservation practice effect (total P load reduction avg. ~70%). In addition, both methods show evidence of conservation practices reducing the incremental increase in total P export per unit increase in fertilizer application. These results are presented as examples of the types of outcomes provided by statistical causal analyses, not to provide definitive estimates of P loss reduction. The enhanced meta‐analysis methods presented within are applicable for improved assessment of agricultural practices and their effects and can be used for providing realistic parameter values for watershed‐scale modeling.     

基于模糊推理的FRAM事故定量分析方法研究

为有效克服FRAM事故分析中无法进行定量分析的缺陷,提出结合模糊推理技术的Fuzzy FRAM模型。此改进模型基于FRAM识别系统运行状态;依据功能输出要素的时间/精度属性利用Matlab构建2阶模糊推理系统量化功能输出质量;根据通用性能条件(CPC)及功能输入耦合端口构建功能评价体系,针对评价体系中存在的不确定性信息融合及建模问题,采用模糊证据推理技术,通过模糊信度结构建立、数据处理、信息融合测度后获得功能的风险指数;以既有铁路危险品运输事故为例,验证方法的可行性。结果表明:Fuzzy FRAM模型的评估结果较为精确,是FRAM分析方法的有效补充。     

基于知识推理的发电企业设备风险管理应用研究

基于发电企业设备自身的特点及工作人员对风险知识认知的局限性,有必要分析发电企业设备在运行、检修中潜在的风险.分析了设备风险知识与风险管理的关系,并以发电企业各类大型设备中应用最广泛的电动机为例,解决了电动机风险知识的表达及推理问题,为实现基于知识的设备风险管理提供了一种思路,对指导发电企业的设备日常维护、巡检以及状态监测、避免不必要的损失有着积极的意义.     

Moral reasoning in adaptation to climate change

Moral foundations theory argues that moral reasoning is widely observed and fundamental to the legitimacy of relevant governance and policy interventions. A new analytical framework to examine and test how moral reasoning underpins and legitimizes governance and practice on adaptation to climate change risks is proposed. It develops a typology of eight categories of vulnerability-based and system-based moral reasoning that pertain to the dilemmas around adaptation and examines the prevalence of these moral categories in public discourse about specific adaptation issues. The framework is tested using data on climate change impact, adaptation, and societal responsibility, drawn from 14 focus groups comprising 148 participants across the UK. Participants consistently use moral reasoning to explain their views on climate adaptation; these include both vulnerability-based and system-based framings. These findings explain public responses to adaptation options and governance, and have implications for the direction of adaptation policy, including understanding which types of reasoning support politically legitimate interventions.     

Urban land use,mobility and theory of science: exploring the potential for critical realism in empirical research

Academic discussion where the adequacy of positions within theory of science is illustrated by means of examples from empirical research studies seems to be an area of neglect. The purpose of this paper is to contribute to such a debate, using examples from investigations into the relationship between urban structure and travel behaviour. The main research question of these investigations was whether, and to what extent, urban structural conditions are influencing residents' transportation activity. In other words, is there a causal relationship between urban structure and travel behaviour? Furthermore, we asked whether results from studies of the relationship between land use and transport can provide a basis for predictions about the likely consequences of alternative land-use strategies. The methodology and empirical findings of the studies are discussed in the light of the theory of science position labelled ‘critical realism’, in an attempt to relate theory of science to empirical research, but also in order to contribute to the discussion of the usefulness of this specific approach. Copyright © 2002 John Wiley & Sons, Ltd.