县级地质灾害防治管理评价指标体系探讨

通过建立评价指标体系,尽可能定量地评价地质灾害防治管理工作,这是地质灾害防治管理工作科学化、规范化的有益补充.在分析建立县级地质灾害防治工作评价指标体系必要性、可行性的基础上,应用工作分析法和经验总结法征求了指标,运用AHP方法建立了评价指标体系结构,采用专家咨询法确定了权重,提出了一套由16个指标(含40项分指标)构成的较为完整的县级地质灾害防治管理工作评价体系.最后,应用所建立的评价指标体系对部分县进行了评价,验证了评价指标的准确性.     

新疆近3年大风灾害灾度分析与区划

新疆是我国大风灾害比较严重的地区之一.已往的大风灾害研究主要从自然学科角度进行较多,分析了大风致灾因子的主要来源、地理分布、强度、监测等,但缺乏从社会学科角度分析研究.本文以新疆2001～2003年发生的大风灾例为研究对象,以新疆15个地州市为研究单位,根据可操作性、可比性、可传递性原则选定的3种确定灾度指标的因子,采用综合评判的方法对各地州市大风灾害灾度进行计算和定量评价,并根据最大隶属原则把15个地州市分别划分为3个区域级重度风灾区、4个区域级一般度风灾区和8个区域级轻度风灾区.     

基于FAHP的黄河中下游灾害系统脆性评价

首次将复杂系统的脆性引用到黄河灾害的研究中,并根据复杂系统的层次结构,采用模糊层次分析法(FAHP)对黄河中下游灾害系统进行了分析.由模糊层次分析法求得了灾害子系统的相对重要度排序向量,找出了极易使黄河中下游系统崩溃的脆性因素.结合黄河中下游的现状,通过对系统必要的脆性分析,为决策者提供重要的参考依据.     

惠州市陈江镇土地定级暨基准地价评估与成果分析

2002年,陈江镇划归惠州市城区管辖,行政区划的改变给该镇的土地价格带来了明显变化.介绍了陈江镇土地定级与估价过程中资料的收集、评估参数的确定、估价技术方法的选择和土地定级的估价.在对比前后工业、商业、住宅用地的价格后,重点从级别范围的变动、地价体系的变化和地价水平三个方面详细分析了陈江镇的基准地价在行政区域变化前后土地价格变化的原因,并对基准地价与原惠州城区地价体系的衔接作了具体分析.     

生态示范区可持续发展灰色评估系统设计应用

介绍了如何在国家级生态示范区的可持续发展评估中运用灰色系统理论构建定量评估系统模型,并给出了关系型指标表、量纲模型、多元灰色预测模型和发展系数模型以及应用实例.根据该评估系统模型所开发的灰色评估系统由数学模型、计算机软件和硬件组成,可自动完成量纲统一、指标预测、相关分析、综合评估和趋势图表的运算和输出.     

地下水水质评价的多元线性回归分析模型研究

运用回归分析理论和方法,建立了一个基于多元线性回归分析法的地下水水质评价模型,并将该模型用于遵义市海龙坝地下水水质评价.结果表明,建立的模型较符合本研究区的实际情况.     

企业可持续发展评价指标体系的选定原则及构建框架

为了制定企业可持续发展的战略决策,须制定可持续发展的指标体系,并依据这一体系对数据和资料进行收集、整理和分析,从而确定可靠而有效的政策方针。文中论述了可持续发展指标体系的定义、选定标准、原则和可持续发展的评价指标体系,提出了压力-状态-响应框架模型以及不同层次的指标体系框架。该指标体系分为总体层、系统层、状态层、变量层和要素层五个等级。对于持续发展的表征指标及对目前发展的可持续性评估,还需要长时间和切合实际的探讨。     

航空器场内失事应急演练评估指标体系与评估方法研究

针对目前我国民用运输机场航空器场内失事应急救援综合演练缺乏有效评估体系的现状，通过对演练过程进行系统分析，构建航空器场内失事应急救援演练评估指标体系，涵盖消防、医疗、公安、媒体应对、运行指挥中心、地服、飞行区7个组织部门的2级指标。结合航空器场内失事救援的业务特点以及指标体系内在逻辑，设计相应的评估方法，对开展的航空器场内失事应急演练进行评估；最后，以国内2个机场的相关应急演练过程为典型示例，进行应用分析。研究结果表明:构建的演练评估指标体系及评估方法能较好地应用于实际应急演练过程，进而在演练评估结果和建议的基础上，实现应急演练的持续改进。     

Computing sustainable manufacturing index with fuzzy analytic hierarchy process

The growing industrial interest in adopting sustainability programmes has ushered in studies regarding sustainability indicators which have continually flourished in current literature. However, limited attention is given to the development of priority ranking, which is an important input for any adopting firm. This paper presents a hybrid multi-criteria approach in determining priority areas in sustainable manufacturing (SM). Using fuzzy analytic hierarchy process to address uncertainty in hierarchical decision-making, this paper determines SM priority strategies and eventually identifies even lower level strategies. The computed sustainable manufacturing index is presented at both the organizational and operational levels for a real case study of an industrial plastic manufacturing firm. This work provides a detailed and transparent hierarchical decision-making approach based on SM framework, the use of which could be valuable to practicing managers across industries in their pursuit of greater sustainability.     

Fuzzy experts on recreational vessels, a risk modelling approach for marine invasions

Understanding risks from the human-mediated spread of non-indigenous species (NIS) is a critical component of marine biosecurity management programmes. Recreational boating is well-recognised as a NIS pathway, especially at a regional scale. Assessment of risks from this pathway is therefore desirable for coastal environments where recreational boating occurs. However, formal or quantitative risk assessment for the recreational vessel pathway is often hampered by lack of data, hence often relies on expert opinion. The use of expert opinion itself is sometimes limited by its inherent vagueness, which can be an important source of uncertainty that reduces the validity and applicability of the assessment. Fuzzy logic, specifically interval type-2 fuzzy logic, is able to model and propagate this type of uncertainty, and is a useful technique in risk assessment where expert opinion is relied upon. The present paper describes the implementation of a NIS fuzzy expert system (FES) for assessing the risk of invasion in marine environments via recreational vessels. The FES was based on expert opinion gathered through systematic elicitation exercises, designed to acknowledge important uncertainty sources (e.g., underspecificity and ambiguity). The FES, using interval type-2 fuzzy logic, calculated an invasion risk value (integrating NIS infection and detection probabilities) for a range of invasion scenarios. These scenarios were defined by all possible combinations of two vessel types (moored and trailered), five vessel components (hull, deck, internal spaces, anchor, fishing gear), two infection modes (fouling, water/sediment retention) and six frequently visited marine habitats (marina, mooring, farm, ramp, wharf, anchorage). Although invasion risk values determined using the FES approach was scenario-specific, general patterns were identified. Moored vessels consistently showed higher invasion risk values than trailered vessels. Invasion risk values were higher for anchorages, moorings and wharves. Similarly, hull-fouling was revealed as the highest infection risk mode after pooling results across all habitats. The NIS fuzzy expert system presented here appears as a valuable prioritising and decision-making tool for NIS research, prevention and control activities. Its easy implementation and wide applicability should encourage the development and application of this type of system as an integral part of biosecurity, and other environmental management plans.