环境质量评价模糊集理论与模式研究

探讨了模糊集理论方法对环境质量评价的可行性，以大气环境质量评价为例，叙述了这种方法的研究程序及计算步骤。研究表明，采用模糊集理论方法对大气环境质量进行评价，结果结果合理，方法可行，有一定的参考价值。     

基于模糊综合法评价新乡市大气环境质量

以新乡市"十一五"期间大气环境中二氧化硫、二氧化氮、可吸入颗粒物监测数据为依据,总结了这3种污染物的特征及变化趋势,并利用模糊综合评价法对大气环境质量进行了综合评价。根据关联度判断出新乡"十一五"期间大气环境质量均为Ⅱ级,环境质量优劣次序为:2010>2008>2009>2006>2007,与实际的污染程度相吻合,说明该评价方法具有客观性和准确性,为评价大气环境质量提供了科学依据。     

模糊数学在大气环境质量评价中的应用

本文应用模糊数学方法对近年宜宾市城区大气环境质量进行综合评价,并与常用的其它几个模式进行可比分析,其更能描述大气污染程度的特点。因此,模糊综合评判法对大气环境质量评价是较为理想的一种评价方法,它具有较强的实用性。     

大气环境质量模糊评价建模的研究

本文将大气环境质量评价系统作为一个模糊系统来研究,用模糊数学方法对评价系统进行分析。     

大气环境质量评价方法的研究与进展

本文概述了大气环境质量评价方法研究的历史、现状与进展,进而指出对指数法的改进与完善和用新的数量方法进行大气环境质量评价是当前大气环境质量评价方法研究的两个主要方向     

大气环境质量评价的物元分析法

本文应用物元分析法作大气环境质量评价，新都县的实例计算和分析表明，物元分析法用于大气环境质量评价，能客观，综合地划分各点位的大气环境质量级别，不失为大气环境质量评价的一种好方法，实例评价结果与实际情况相吻合。     

模拟退火算法在大气环境质量综合评价中的应用

为了建立一种对多项指标都能普遍使用的大气环境质量综合评价模式,利用模拟退火算法对幂函数加和型指数评价中参数进行优化,并用优化后的综合评价指数公式对大气环境进行综合评价。该公式应用于大量实例的分析评价结果与其他多种评价方法评价结果比较表明:该公式不受污染物种类和数目多少的限制,计算简便,具有可行性、实用性和通用性。     

青岛市大气环境质量状况分析与评价

以青岛市2001年至2010年大气环境中的主要污染物二氧化硫(SO2)、二氧化氮(NO2)和可吸入颗粒物(PM10)的监测结果为依据,对青岛市大气主要污染物变化趋势进行了分析,并利用模糊综合评价模型对各年大气环境质量状况进行了综合评价。研究结果表明:近10年来青岛市大气环境质量处于尚清洁状况,且在不断改善;受工业扬尘和建筑扬尘的影响,青岛市主要污染物是可吸入颗粒物PM10;以煤炭为主的能源结构加之落后的工艺设备等原因使得大气中二氧化硫的浓度一直处于较高的水平;随着青岛市机动车保有量的增长,以氮氧化物为特征的机动车尾气的污染日趋明显,因此,冬季采暖燃煤利用、机动车尾气控制及城市扬尘抑制仍是青岛市未来大气污染的治理重点,强化燃煤脱硫技术和改善机动车尾气排放是青岛市大气环境质量改善的关键。     

层析分析法在重庆市生态保护发展区十二五大气环境质量评价中的应用研究

运用层次分析方法,选用SO_2、NO_2、PM_(10)作为评价因子,参照大气环境质量标准,对重庆市生态保护发展区大气环境质量进行评价。层次分析评价结果表明,重庆市生态保护发展区十二五期间大气环境质量基本上处于清洁和轻度污染水平,且大气环境质量有逐年改善趋势。     

基于灰色聚类法的成都市大气污染评价

大气环境质量问题一直是关注的环境问题之一,而灰色聚类分析方法在很多领域已有应用。本文对成都市大气环境监测数据进行评价：采用灰色聚类分析方法,将污染因子（SO2、NO2、PM10）进行综合评价,标准化污染因子及评价指标。白化函数得到各个污染因子每年的5×4矩阵,按照聚类系数来判定综合指标类型,并进行评价。为成都市综合大气...     

A method for assessing environmental risk: A case study of Green Bay,Lake Michigan,USA

The Science Advisory Board of the US Environmental Protection Agency has recommended that risk reduction strategies become the centerpiece of environmental protection. The goal in developing such strategies is to identify opportunities for greatest reduction of ecological risks. This is a perspective that is significantly more comprehensive than the traditional focus on human health risks arising from environmental degradation. The identification of ecological risks upon which environmental protection efforts should be focused requires an ecological risk assessment methodology that is based on anthropogenic stressors affecting an ecosystem and a set of impaired use criteria. A methodology based on this concept is developed and discussed in this article. The methodology requires that risk values be assigned to each ecosystem stressor-impaired use pair that reflect the degree to which the given stressor contributes to ecosystem risk as measured by the given impaired use criterion. Once these data are available, mathematical analyses based on concepts from fuzzy set theory are performed to obtain a ranking of ecosystem stressors. The methodology has been tested by applying it to a case study involving Green Bay of Lake Michigan. A workshop was held in which 11 persons with extensive knowledge of the Green Bay ecosystem determined risk values through a group-consensus process. The analytical portion of the methodology was then used to rank the ecosystem risks (stressors) from several perspectives, including prevention management and remediation management. The overall conclusion of the workshop participants was that the fuzzy set decision model is a useful and effective methodology for differentiating environmental risk.     

Alternative scenarios to meet the demands of sustainable waste management

This paper analyses different alternatives for solid waste management that can be implemented to enable the targets required by the European Landfill and Packaging and Packaging Waste Directives to be achieved in the Valencian Community, on the east coast of Spain. The methodology applied to evaluate the environmental performance of each alternative is Life Cycle Assessment (LCA). The analysis has been performed at two levels; first, the emissions accounted for in the inventory stage have been arranged into impact categories to obtain an indicator for each category; and secondly, the weighting of environmental data to a single unit has been applied. Despite quantitative differences between the results obtained with four alternative impact assessment methods, the same preference ranking has been established: scenarios with energy recovery (1v and 2v) achieve major improvements compared to baseline, with scenario 1v being better than 2v for all impact assessment methods except for the EPS'00 method, which obtains better results for scenario 2v. Sensitivity analysis has been used to test some of the assumptions used in the initial life cycle inventory model but none have a significant effect on the overall results. As a result, the best alternative to the existing waste management system can be identified.     

An imprecise fuzzy risk approach for water quality management of a river system

Uncertainty plays an important role in water quality management problems. The major sources of uncertainty in a water quality management problem are the random nature of hydrologic variables and imprecision (fuzziness) associated with goals of the dischargers and pollution control agencies (PCA). Many Waste Load Allocation (WLA) problems are solved by considering these two sources of uncertainty. Apart from randomness and fuzziness, missing data in the time series of a hydrologic variable may result in additional uncertainty due to partial ignorance. These uncertainties render the input parameters as imprecise parameters in water quality decision making. In this paper an Imprecise Fuzzy Waste Load Allocation Model (IFWLAM) is developed for water quality management of a river system subject to uncertainty arising from partial ignorance. In a WLA problem, both randomness and imprecision can be addressed simultaneously by fuzzy risk of low water quality. A methodology is developed for the computation of imprecise fuzzy risk of low water quality, when the parameters are characterized by uncertainty due to partial ignorance. A Monte-Carlo simulation is performed to evaluate the imprecise fuzzy risk of low water quality by considering the input variables as imprecise. Fuzzy multiobjective optimization is used to formulate the multiobjective model. The model developed is based on a fuzzy multiobjective optimization problem with max–min as the operator. This usually does not result in a unique solution but gives multiple solutions. Two optimization models are developed to capture all the decision alternatives or multiple solutions. The objective of the two optimization models is to obtain a range of fractional removal levels for the dischargers, such that the resultant fuzzy risk will be within acceptable limits. Specification of a range for fractional removal levels enhances flexibility in decision making. The methodology is demonstrated with a case study of the Tunga–Bhadra river system in India.     

Risk and opportunity in upgrading the US drinking water infrastructure system

This paper presents a practical risk assessment methodology to provide drinking water infrastructure (DWI) decision-makers with an objective risk assessment tool. The purpose of this risk assessment tool is to maintain the desired level-of-service or systems reliability [r(f)], while managing the financial uncertainty of the expected budgetary impact within the capital improvement program (CIP). The goal of this paper is to demonstrate the value of an objective risk assessment tool for estimating the DWI decision-maker's sensitivity to the risk of systems failure (R). The objectives are to: (1) incorporate probability of systems failure [p(f)] into the CIP budgetary analysis process and (2) evaluate the affects of p(f) on the expected CIP budgetary outcome. The magnitude of the expected budgetary impact is managed through the DWI decision-maker's sensitivity to R, which is represented by the level of the rate of reinvestment (RR). The expected result of the proposed risk assessment tool demonstrates that by proactively managing R to maintain a desired r(f) will effectively manage the impact of uncertainty on the expected budgetary outcome within the CIP. The expected contribution of the practical risk assessment methodology is to provide DWI decision-makers with the ability to reduce budgetary uncertainty when allocating limited financial resources among competing operational, repair, maintenance, and expansion activities within the CIP. The conclusions of the paper reveal that if DWI decision-makers assume risk-avoidance positions through proactive asset management (AM) strategies, they will achieve positive affects on expected budgetary outcomes.     

Sustainable value assessment of farms using frontier efficiency benchmarks

Appropriate assessment of firm sustainability facilitates actor-driven processes towards sustainable development. The methodology in this paper builds further on two proven methodologies for the assessment of sustainability performance: it combines the sustainable value approach with frontier efficiency benchmarks. The sustainable value methodology tries to relate firm performance to the use of different resources. This approach assesses contributions to corporate sustainability by comparing firm resource productivity with the resource productivity of a benchmark, and this for all resources considered. The efficiency is calculated by estimating the production frontier indicating the maximum feasible production possibilities. In this research, the sustainable value approach is combined with efficiency analysis methods to benchmark sustainability assessment. In this way, the production theoretical underpinnings of efficiency analysis enrich the sustainable value approach. The methodology is presented using two different functional forms: the Cobb–Douglas and the translog functional forms. The simplicity of the Cobb–Douglas functional form as benchmark is very attractive but it lacks flexibility. The translog functional form is more flexible but has the disadvantage that it requires a lot of data to avoid estimation problems. Using frontier methods for deriving firm specific benchmarks has the advantage that the particular situation of each company is taken into account when assessing sustainability. Finally, we showed that the methodology can be used as an integrative sustainability assessment tool for policy measures.     

模糊数学在矿山环境影响评价中的应用

环境质量是一个涉及多因素多层级的模糊概念,用经典数学进行环境质量评价,评判环境质量的等级只能用一个绝对判据来划分,无法处理模糊因素边界不清晰、中间过渡不分明的问题。本文应用模糊数学方法,在单环境因素模糊综合评价的基础上,进行了总体环境质量模糊综合评价的探讨,结合某区域环境实例,对其总体环境质量进行了模糊综合评价,并将评价结果与用经典数学评价结果进行了比较,比较表明,环境质量模糊评价方法较经典数学评价方法更客观更准确。     

基于层次模糊综合评判法的土地集约利用研究——以河北省永清县为例

土地集约节约利用越来越成为人们关注的问题，对其进行科学评价也成为焦点。通过对永清县乡镇土地集约利用状况的调查，构建了适合乡镇土地集约度评价的指标体系，采用AHP和模糊综合评判相结合的方法对乡镇土地集约度进行了评价。从而得出永清县土地利用集约度状况，为以后的发展提供借鉴依据。     

概率积分法在矿山环境开采沉陷预测评估中的应用

随着采矿业的不断发展，给矿区环境带来了多方面的、不同程度的破坏，产生了一系列的生态环境问题。本文利用概率积分法，以河南省登封市某煤矿矿区为例，对矿山环境保护与综合治理中的矿山环境地表移动预测评估进行了研究，为确定采煤塌陷对地表各建筑物的影响程度提供了依据。     

Assessing national sustainable development strategies: Strengthening the links to operational policy

At the Earth Summit in Rio de Janeiro in 1992, it was agreed that all countries should develop a national sustainable develop‐ment strategy (NSDS) as a key component of implementing the goals of Agenda 21. Progress has been limited. Few countries have established a formal strategy, and many of the strategies that exist have been only partially implemented. This article proposes an approach that addresses the need to improve existing strategic planning mechanisms. The approach is based on a periodic assessment of existing systems, to evaluate the extent to which they incorporate NSDS principles, and identify areas to be strengthened. The article describes an assessment methodology, presents examples of its use, and discusses ways in which current approaches to NSDS may be complemented by continual review and improvement of existing planning processes.