Designating Air Quality Management Areas (AQMAs) in the UK Implications for Securing UK Air Quality Objectives

Across the United Kingdom, the majority of local authoritieshave now completed their first phase of local air qualityreview and assessment work, as required under the AirQuality Strategy for England, Scotland, Wales and NorthernIreland (DETR, 2000a). Emerging from this first phasework is an anticipated suite of over 110 Air QualityManagement Areas (AQMAs). These areas are identifiedlocations where one or more of the national air qualityobjectives are predicted to exceed by specific target dates,and their spatial extent and shape is emerging as highlyvariable. Local authorities are guided to use a variety ofscientific tools to underpin the scientific assessments, anda consideration of uncertainty in both the tools used andsubsequent delineation of AQMAs is likely to affect theemerging management areas significantly. With subsidiarity underpinning the process of local air qualitymanagement (LAQM), local decision-making is anticipated toinfluence the outcome of the LAQM process in its entirety,with the declaration of AQMAs necessitating the preparationand implementation of air quality action plans. UKexperience of the effective management of local air quality,through the designation of AQMAs, demonstrates a valuableframework for other European countries developing mechanismsto manage air quality locally.     

关于铁路行车事故预测的应用研究

本文论述了事故预测对铁路行车安全的重要性,并应用灰色预测模型和概率回归估计法模型研制了预测软件,进行铁路行车事故的宏观及微观预测,为采取有针对性的防范措施提供一个可靠信息。     

几种事故预测方法的探讨

本文根据生产单位事故发生的随机性特点,论证了未来时段中事故次数及其时间分布等各项指标,是能够用多种随机数学模型和灰色系统理论来预测的。用非随机的函数模型预測事故是不合适的。给出了几种事故预測方法,并提出了几种值得研究和试用的方法。     

陕西延安地区1992—2000年干旱趋势灰色预测

本文存分析延安地区干旱特征的基础上,采用地地区40a的资料,运用灰色理论的预测方法,预测了1992～2000年间干旱发生的季节及强度,预计该时该区的旱情将持续出现,故提出必须立足抗旱,以保农业生产的稳步发展。     

灰关联分析在故障树诊断中的应用

介绍一种灰色诊断法。在故障诊断模式识别中,运用灰关联分析,依据故障树的底事件重要度,通过关联度计算及排序,对故障树分析中,各种故障模式发生的可能性大小作出了准确的判断,从而为处理事故的先后、缓急提供了依据。     

Application of Multiattribute Decision-Making Methods for the Determination of Relative Significance Factor of Impact Categories

A relative significance factor (f _i ) of an impact category is the external weight of the impact category. The objective of this study is to propose a systematic and easy-to-use method for the determination of f _i . Multiattribute decision-making (MADM) methods including the analytical hierarchy process (AHP), the rank-order centroid method, and the fuzzy method were evaluated for this purpose. The results and practical aspects of using the three methods are compared. Each method shows the same trend, with minor differences in the value of f _i . Thus, all three methods can be applied to the determination of f _i . The rank order centroid method reduces the number of pairwise comparisons by placing the alternatives in order, although it has inherent weakness over the fuzzy method in expressing the degree of vagueness associated with assigning weights to criteria and alternatives. The rank order centroid method is considered a practical method for the determination of f _i because it is easier and simpler to use compared to the AHP and the fuzzy method.     

Fuzzy multiple-criteria decision-making approach for industrial green engineering

This paper describes a fuzzy hierarchical analytic approach to determine the weighting of subjective judgments. In addition, it presents a nonadditive fuzzy integral technique to evaluate a green engineering industry case as a fuzzy multicriteria decision-making (FMCDM) problem. When the investment strategies are evaluated from various aspects, such as economic effectiveness, technical feasibility, and environmental regulation, it can be regarded as an FMCDM problem. Since stakeholders cannot clearly estimate each considered criterion in terms of numerical values for the anticipated alternatives/strategies, fuzziness is considered to be applicable. Consequently, this paper uses triangular fuzzy numbers to establish weights and anticipated achievement values. By ranking fuzzy weights and fuzzy synthetic utility values, we can determine the relative importance of criteria and decide the best strategies. This paper applies what is called a λ fuzzy measure and nonadditive fuzzy integral technique to evaluate the synthetic performance of green engineering strategies for aquatic products processors in Taiwan. In addition, we demonstrate that the nonadditive fuzzy integral is an effective evaluation and appears to be appropriate, especially when the criteria are not independent.     

DECISION-MAKING IN THE DEVLOPMENT OF URBAN WATERFRONTS FOR PARK/BUSINESS USE1

Abstract: Opportunities for the development of an amalgam of park and leisure-oriented commercial establishments in urban-core waterfont settings exist in many U.S. cities. Public awareness of the need to enhance the environmental quality of these waterfont areas has resulted in a demand for planning and implementation action. However, the lack of understanding of urban political systems has been an inhibiting factor in the development of this park/ business concept. The major factors that influence the decision-making process leading to the development of urban-core waterfronts for park/business use are identified inthis paper. Understanding this decision-making process can aid project implementation and avoid waste of planning effort in time, dollars, and productivity.     

Decision-making for fire use among farmers in savannas: an exploratory study in the Distrito Federal, central Brazil

Today, fire in the Braziliancerrado(savanna) is predominantly caused by farmers. They use fire during the dry season to promote fresh grass regrowth in pastures for their cattle and to clear areas of planting ready for cultivation in the wet season. This study researched fire use by farmers in thecerradoof the Distrito Federal, central Brazil, in order to investigate what influences their fire management decision-making. The results show that the two main factors limiting the choice of feasible options for farmers to meet their objectives are income and time. However, perceptions also play a major role in the decision-making process, and for many farmers this alone determines whether fire is used. Various fire practices involved with timing, frequency and size, as well as precautions taken before and during the burn, and the factors influencing these decisions are presented. This study shows that it is vital to understand factors determining fire use if effective fire management plans and policies are to be developed.1998 Academic Press     

Knowledge governance for ecosystem-based management: Understanding its context-dependency

The governance of knowledge is a crucial element of ecosystem-based management (EBM) and is deemed important for its effectiveness. In this paper we analyze from an empirical perspective how the governance of knowledge in different EBM practices is organized and with what consequences. Based upon four different case studies – all derived from the Wadden Sea – which resemble different contexts (in terms of available knowledge and level of conflict) we reconstruct four different ways of knowledge governance. These four approaches are labeled the database, the alignment, the assessment and the holistic approach. These approaches differ in how the interaction between knowledge production and decision-making is organized. They show different degrees of success, partly related to the extent to which they fit in the context in which they are applied. Understanding the differences in contexts in which knowledge for EBM has to be organized, can help decision-makers to apply the most suitable way of knowledge governance in their specific case. In cases of low conflict and high knowledge capacity a more static, one-directional way of knowledge governance can suffice, while in more complex contexts a holistic approach seems to be necessary.