Ranked set sampling: an annotated bibliography

The paper provides an up-to-date annotated bibliography of the literature on ranked set sampling. The bibliography includes all pertinent papers known to the authors, and is intended to cover applications as well as theoretical developments. The annotations are arranged in chronological order and are intended to be sufficiently complete and detailed that a reading from beginning to end would provide a statistically mature reader with a state-of-the-art survey of ranked set sampling, including historical development, current status, and future research directions and applications. A final section of the paper gives a listing of all annotated papers, arranged in alphabetical order by author.This paper was prepared with partial support from the United States Environmental Protection Agency under a Cooperative Agreement Number CR-821531. The contents have not been subject to Agency review and therefore do not necessarily reflect the views or policies of the Agency and no official endorsement should be inferred.     

应用Hasse图解法筛选优先污染物

本文着重分析了Hasse图解法的原理及指标选择等问题，并根据南京北河口水源地枯水期定量检出的有机污染物，利用自编的计算机应用程序，初步尝试了通过Hasse图解法预测丰水期中最有可能被检测出的有机污染物。     

MULTICRITERION ANALYSIS OF GROUNDWATER CONTAMINATION MANAGEMENT1

ABSTRACT: Multicriterion decision making (MCDM) techniques were used to analyze a groundwater contamination management problem from the viewpoint of conflicting multiple objectives. The groundwater management model was used to find a compromise strategy for trading off fresh water supply, containment of the waste, and total pumping cost in a hypothetical confined aquifer affected by previous waste disposal action. A groundwater flow model was used to formulate the hydraulic constraints. A linear system model was used to describe drawdown and velocity as functions of the decision variables which were pumping rates. The model determines the pumping location and rates. A modified c-constraint method was used to generate the set of nondominated solutions which were the alternative compromise strategies. Three different MCDM techniques, Compromise programming (CP), ELECTRA II and MCQA II, were used to select a “satisficing” alternative. Analysis of the results showed that, although these techniques follow different principles, the same preferred strategies were reached. Also, it was noticed that maintaining high groundwater velocities is expensive and difficult. In order to meet a two year target date, large amounts of water had to be pumped. Therefore, rapid restoration results in large pumping volumes and high costs.     

Some experiences in hazard identification and risk shortlisting

‘Rapid ranking’ has been used for many years as a method of determining the priority which should be given to formal investigation of the wide range of hazards and risks present on major process industry sites. Such methods tend to evolve to meet the needs of specific applications. Some historical and recent applications are outlined, and the nature of the developments which they led to are discussed. Particular topics discussed include: development of the method such that it is usable by operating managers rather than specialists; use to raise risk consciousness; adaptation for use as an aid to hazard identification; use to define both which risks should be studied and which risks, even if low, should be incorporated in routine monitoring and periodic auditing programmes; use as a basis for comparison of the relative risks presented by a variety of different industrial installations; use for a range of different types of risk; and extension beyond ranking to include ‘shortlisting’ i.e. deciding which risks to include in a study programme and which to leave out. Philosophical difficulties with the approach are discussed, including the danger of omitting from detailed study a risk which is erroneously shown as low, and the uncertainty of the absolute level of the ranked risks. Approaches to minimizing these problems are discussed.     

Ranking Canadian universities: a quantitative approach for sustainability assessment using uD-SiM

This paper introduces a model that enables a comparison between universities based on sustainability indicators related to environmental, economic, social and educational aspects. The proposed model is based on a driving force-pressure-state-exposure-effect-action (DPSEEA) framework and is called uncertainty-based DPSEEA-Sustainability index Model (uD-SiM). The uD-SiM applies the concept of causality and develops sustainability index (SI), which is an outcome of nonlinear relationships of sustainability indicators in different stages of DPSEEA. In this paper, this fuzzy-based multi-criteria decision-making model is used to evaluate the sustainability of five Canadian universities, namely the University of British Columbia, the University of Toronto, the University of Alberta, the McGill University and the Memorial University. The final ranking results are compared with the Green report card ranking for 2010 through SI. The application of various actions and strategies that can be applied to different stages of the framework to improve sustainability in higher education institutions is also discussed.     

Do exurban communities want more development?

Most land-use surveys of exurban residents focus on eliciting preferences for residential development and open space conservation. This article, in contrast, reports on a stated preference study of exurban residents that assesses the relative attractiveness of a variety of commercial and recreational land uses. Focus group participants and town planners proclaimed a demand for certain commercial services such as modern grocery stores and fine-dining restaurants, but survey respondents generally exhibit a strong preference for no additional development beyond the current rate of development. Results show that if additional development is to occur, then recreational services are generally preferred over more traditional commercial development. Combining two commercial services in a single development project are strongly preferred to stand-alone developments. Our approach illustrates how planners may uncover misconceptions about and priorities for land conversion through examining residents’ preferences.     

基于环境风险排序的流域优先污染物筛选

在流域生态环境治理中,确定治理水体的优先污染物是首先要考虑的问题.环境风险排序方法可利用污染物的毒性值与该污染的暴露浓度值的比值,快速对流域污染物进行风险排序,确定优先污染物.本文以有多年氟化工生产排放历史的大凌河为研究区域,分季节采集18个样点的水体表层样品,分析全氟辛基磺酸(PFOS)、全氟辛酸(PFOA)以及8种常见重金属,并搜集有关当地物种生态毒性的文献资料,确定其优先污染物.结果发现,2011~2016年间,大凌河水体PFOS和PFOA的中位值浓度分别在0.77~3.57 ng·L~(-1)、82.93~344 ng·L~(-1)之间,参照英国水环境对人体健康的潜在风险值发现其均低于标准限值.重金属和有机氯农药的浓度均低于国家Ⅳ级标准,但Hg和As的最高浓度高于Ⅲ级标准.大凌河环境风险值范围为1.42×10-6~2.3×10-2,环境风险排序结果为CuZnAsp,p'-DDEp,p'-DDTCdPbHgPFOAγ-HCHCrNiα-HCHPFOS.PFOS和PFOA的环境风险排序较为靠后,说明不是该地区需要优先控制的污染物,但长期风险累积不可忽视.Cu是未来大凌河生态环境治理的优先污染物,应重点控制包括造纸厂在内的主要工业企业的生产排放行为.     

Finding a good job: Academic network centrality and early occupational outcomes in management academia

The impact of universalistic versus particularistic criteria on academic hiring has been receiving growing attention in recent years. Yet, most studies conducted on hiring norms in academy and management academy have ignored the impact of social capital, particularly structural social capital, a particularistic attribute, on occupational outcomes. This could lead to a partial if not misleading view of the sociology of hiring in management academy. We utilize a novel approach, focusing on academic departments' structural social capital in the form of network centrality (based on cumulative PhD exchange networks), and explore how this type of centrality impacts job seekers' occupational prestige for new academic jobs in management departments and early career quality publications. We find that although merit‐based criteria such as publications matter somewhat, academic network centrality explains significant variance in obtaining prestigious jobs. Paradoxically, we find that academic network centrality does not explain early career publications. We discuss the implications of our findings for management science. Copyright © 2011 John Wiley & Sons, Ltd.     

Copeland计分排序法在化学物质生态危害评价中的应用

运用Copeland计分排序法,根据61种环境优先污染物的7项环境行为和生物毒性指标对其进行生态危害评价,其中POPs名单中的化学物质排名靠前.通过分别对比不同氯取代的苯酚类和苯类化学物质的排名情况,得出化学物质的生态危害与其氯取代程度成正比;将61种环境优先污染物的Copeland计分排序法的结果与日本环境省公布的环境评价结果对比发现,其Pearson相关系数达到0.989 9,表明了二者基本相符;初步尝试了通过Copeland计分排序法预测新化学物质的生态危害排序,排序结果基本合理.