基于电力历史应急大数据的应急情景规则分析与发现方法研究

为了解决电力突发事件演化过程难于预测,进而导致事件应急缺少针对性,较为被动的问题,提出在现有应急预案指导、事故模拟仿真、事故案例经验总结等方法基础上,引入基于电力历史大数据分析与预测的应急情景规则分析与发现方法,将电力应急突发事件情景构建的结果与相关大数据预测模型（汇总统计、分类与预测）相结合,提出科学、合理且具有良好操作性的情景演化规则的获取方法与技术路线,为进一步提高复杂电力突发事件的应急处置与指挥能力提供技术支撑。     

基于水库旱限水位动态控制的供水策略研究

为了克服现行水库旱限水位确定方法和功能定位上存在的不足,更好地为水库抗旱调度提供技术支持,通过结合供水系统水文干旱识别方法,用汛末蓄水量、干旱期设计来水量及供水规则计算干旱预警期。并根据实际来水逐月修改来水系列,对当年潜在干旱期和干旱预警期进行再计算,实现旱限水位的动态控制,由此提出了用“预警期/旱限水位”数对的形式(Td,DL)来表示的旱限水位动态控制方法。将旱限水位与限制供水策略相关联,用水库旱限水位作为触发水库限制供水的特征水位。并以水库累计缺水指数最小为目标,以限制供水系数为优化变量,建立水库进入干旱预警后的供水模拟-优化模型。以天津市于桥水库为实例研究,结果表明,旱限水位动态控制方法对水库干旱的预警不仅更加合理,且具有较好的可操作性;旱限水位与限制供水策略相关联,避免了潜在干旱期内水库出现程度更加严重的缺水,对不同蓄水条件下的限制供水系数进行分析,发现限制供水系数最优值一般取在0.5~0.75。     

Attitude to safety rules and reflexivity as determinants of safety climate

IntroductionWe present two studies that focus on the relationship between safety rules and the safety climate. It is expected that a reasoned acceptance, namely one based on an understanding of the bases for the rules and a collective management of the rules, should benefit the climate. Method: In an initial study (N = 202) employees replied to a questionnaire that measured the safety climate, the level of the relationship with the safety rules, and the understanding of their bases. The results highlighted the fact that a reasoned acceptance of the rules is associated with an understanding of their bases and predicts the level of safety. In a second study (N = 258) employees replied to a questionnaire measuring team reflexivity, the safety climate, and the level of relationship with the safety rules. We observed that collective management of the rules mediated the relation between team reflexivity and the safety climate. Results: The results are discussed from the point of view of their practical implications. Developing safety climate requires that operators are trained to understand the basis of safety rules and team reflexivity.     

Protected-Area Monitoring Dilemmas: a New Tool to Assess Success

Abstract:  Understanding factors that influence the success of protected areas in curbing unsustainable resource consumption is essential for determining best management strategies and allocating limited resources to those projects most likely to succeed. I used a law-enforcement and monitoring game-theory model from the political science literature to identify three key variables useful in predicting the success of a protected area: costs of monitoring for rule breakers, benefits of catching a rule breaker, and probability of catching a rule breaker if monitoring. Although assigning exact values for each of these variables was difficult, the variables had a strong predictive capacity even when coded as coarse ordinal values. A model in which such values were used correctly predicted the outcome of 88 of 116 protected areas sampled from the peer-reviewed literature. The model identified a critical zone of common mismatch between protected-area circumstances and management policies. In situations where the costs of monitoring were greater than the product of the probability of catching a rule breaker and the benefit of doing so, conservation was unlikely to succeed. Control of illegal use of protected resources was reported in only 8% of such cases, regardless of strategies to motivate potential users to cooperate with conservation. My model does not prescribe a best management policy for conserving natural resources; rather, it can be used as a tool to help predict whether a proposed management policy will likely succeed in a given situation.     

Specimen‐Based Modeling,Stopping Rules,and the Extinction of the Ivory‐Billed Woodpecker

Abstract: Assessing species survival status is an essential component of conservation programs. We devised a new statistical method for estimating the probability of species persistence from the temporal sequence of collection dates of museum specimens. To complement this approach, we developed quantitative stopping rules for terminating the search for missing or allegedly extinct species. These stopping rules are based on survey data for counts of co‐occurring species that are encountered in the search for a target species. We illustrate both these methods with a case study of the Ivory‐billed Woodpecker (Campephilus principalis), long assumed to have become extinct in the United States in the 1950s, but reportedly rediscovered in 2004. We analyzed the temporal pattern of the collection dates of 239 geo‐referenced museum specimens collected throughout the southeastern United States from 1853 to 1932 and estimated the probability of persistence in 2011 as <6.4 × 10^?5, with a probable extinction date no later than 1980. From an analysis of avian census data (counts of individuals) at 4 sites where searches for the woodpecker were conducted since 2004, we estimated that at most 1–3 undetected species may remain in 3 sites (one each in Louisiana, Mississippi, Florida). At a fourth site on the Congaree River (South Carolina), no singletons (species represented by one observation) remained after 15,500 counts of individual birds, indicating that the number of species already recorded (56) is unlikely to increase with additional survey effort. Collectively, these results suggest there is virtually no chance the Ivory‐billed Woodpecker is currently extant within its historical range in the southeastern United States. The results also suggest conservation resources devoted to its rediscovery and recovery could be better allocated to other species. The methods we describe for estimating species extinction dates and the probability of persistence are generally applicable to other species for which sufficient museum collections and field census results are available.     

Bayesian Decision Analysis for Evaluating Management Options to Promote Recovery of a Depleted Salmon Population

Abstract:  The endangered population of sockeye salmon (Oncorhynchus nerka) in Cultus Lake, British Columbia, Canada, migrates through commercial fishing areas along with other, much more abundant sockeye salmon populations, but it is not feasible to selectively harvest only the latter, abundant populations. This situation creates controversial trade-offs between recovery actions and economic revenue. We conducted a Bayesian decision analysis to evaluate options for recovery of Cultus Lake sockeye salmon. We used a stochastic population model that included 2 sources of uncertainty that are often omitted from such analyses: structural uncertainty in the magnitude of a potential Allee effect and implementation uncertainty (the deviation between targets and actual outcomes of management actions). Numerous state-dependent, time-independent management actions meet recovery objectives. These actions prescribe limitations on commercial harvest rates as a function of abundance of Cultus Lake sockeye salmon. We also quantified how much reduction in economic value of commercial harvests of the more abundant sockeye salmon populations would be expected for a given increase in the probability of recovery of the Cultus population. Such results illustrate how Bayesian decision analysis can rank options for dealing with conservation risks and can help inform trade-off discussions among decision makers and among groups that have competing objectives.     

Hedging Rules for the Operation of Lake Okeechobee in Southern Florida

Lake Okeechobee is the major source of freshwater in Southern Florida. With the increasing possibility of water stress, determining how to manage water during drought periods is essential to the operation of the Lake. This study deals with operational problems related to the management of Lake Okeechobee and the challenges involved in the implementation of hedging policy. We examine the implications of applying a theoretical hedging rule approach, comprising inter‐ and intrayear models, for the management of Lake Okeechobee and explore several optional hedging policies. The results demonstrate that hedging rules could reduce profit loss particularly under serious water stress, and might be applied sooner to mitigate the risk of severe water shortages. We suggested that the management of Lake Okeechobee should consider both short‐ and long‐term hedging nested. It is also demonstrated that the practical applicability of rolling decision making with updated forecast. Based on the results of the model, the merits of explicit optional hedging rules are demonstrated.     

基于随机森林的高速公路运营隧道风险判别法则研究*

为快速、准确识别山区高速公路隧道不同区段风险因素组合,基于交通事故调研数据,分析其时空变化规律;从人-车-路-环境角度系统筛选风险影响因素,采用随机森林理论构建风险等级预测模型;以决策树与规则相互关系为基础,结合自变量重要评分法,提出基于随机森林的高速公路运营隧道风险判别法则。研究结果表明:判别法则集预测精度较好且运行时间短,能够明确高速公路不同隧道区段事故成因,为预防隧道严重交通事故发生提供参考。     

有效提高英语水平的一种途径--识记

本文针对大学生在英语学习过程中出现的识记能力差,贬低记忆作用的偏见,提出教学中应帮助学生了解和掌握记忆规律,提倡识记词汇、句法、段落或课文,有助于提高学生听、阅读和写作能力.     

论清洁生产法治的技术基础

本文深入探讨了产业结构调整、工业污染防治与清洁生产法治的关系，以及企业管理、清洁技术与清洁生产法治的关系。指出产业结构调整、企业管理和清洁技术的应用是实现清洁生产法治的重要技术途径和方式。并已经得到许多国家清洁生产及其法治实践的普遍采用和证实，而清洁生产法治的实现又有利于促进产业结构和企业管理更加生态化，促进清洁技术进一步发展。