地面水环境质量评价的有时序多目标决策方法

将有时序多目标决策方法应用于地面水环境质量优势的比较，介绍了决策方法的原理和评价步骤。实例分析表明该方法计算过程简便，分辨率高，排序结果与实际环境质量状况相符合。     

指标动态权重对湖泊水生态系统健康评价影响研究

利用2014年和2018年鄱阳湖丰〖CD*2〗涨〖CD*2〗枯〖CD*2〗退4个水文时期的监测数据,引入可拓评价法对鄱阳湖水生态系统健康进行评价并探讨指标动态权重的影响。结果表明：鄱阳湖水生态系统健康状态不同水文时期差异显著,退水期最优,枯水期最差,涨水期稍优于丰水期。鄱阳湖水生态系统健康评价指标权重具有动态变化特征,指标权重值会随着指标具体取值的不同而发生变化,即便指标值相同,各指标间关系不同,指标权重也不同,从而影响鄱阳湖水生态系统健康的评价结果。鄱阳湖不同时期生态系统功能和结构差异较大,采用动态的权重对其水生态系统健康评价相对更加合理。     

基于反距权重插值的入海河口水环境研究

对某入海河口在春季和夏季进行2次水体环境因子(TP、TN、COD、Chla、SS)监测,利用Arc Map扩展模块中反距离权重插值模型,对各监测值分别进行插值分析。通过插值结果,对营养盐、Chla、COD和SS在时间和空间上的差异进行探讨,揭示了入海河口水体环境因子在季节差异和流域分布上的独有特点。     

多目标决策--理想点法综合评价大气环境质量

介绍了多目标决策———理想点法的基本原理 ,建立了一个综合评价大气环境质量的数学模型。利用该模型可以方便地对大气环境质量进行综合评价     

基于改进的多目标决策的水环境质量综合评价

在对水环境质量综合评价中,多目标决策-理想区间法解决了水环境质量评价标准是区间而非点的缺陷。但是在计算监测点到各理想区间向量的距离时,各水环境质量指标权重直接影响综合评价的结果,通常的确定方法是简单的假设各水环境质量指标的权重相等,这与实际情况相悖。为了解决这一问题,提出了将超标法用于多目标决策法中,利用超标法确定各水环境质量指标的权重,然后将其应用于多目标决策-理想区间法来分析水环境质量等级。并将改进后的多目标决策-理想区间法应用于珠江口及邻近海域的水环境中。基于超标法确定权重的多目标决策-理想区间法与聚类分析相比更有效,与等权重的多目标决策-理想区间法相比,更能体现水环境的污染状况,可应用于各种环境因子的综合评价中。     

宝钢环境信息化系统建设探索

系统介绍了宝钢环境信息化系统建设架构、功能、特点,以及对污染减排、环境自动监测及信息化技术进行有效融合后的应用实践,并对该信息化系统在提高环境监控能力,完善系统建设上提出扩展监控范围、提升功能等构想.     

环境遥测系统的大批量和设计

简述了环境遥测系统的组成和遥测信息传输的原理，介绍了以可编程序控制器（PLC）为核心的环境遥测系统的相关设计；讨论了实施方案的应用效果。     

环境在线监控数据交换系统的设计与应用

根据环境在线监控的数据特征和普遍存在的问题,提出了针对环境在线监控数据交换的系统设计方案,包含数据交换中心、前置系统、发布过程安全的设计。该系统可实现污染源(固定源、移动源)、水环境、大气环境、生态环境、辐射环境等各类在线监控数据的自动归集、交换和集成。为各级环保部门同时、准确地掌握各种在线监控数据,提高监管能力提供技术支撑。     

关于建立城市声环境自动监测系统的设想

文章以随机过程“各态历径”理论说明了“定点测量法”与“网格测量法”的内在联系 ,提出了以城市建成区内各类不同环境功能区为基础进行城市声环境自动监测系统监测点位布设的技术规范设想。     

EXCEL2000在环境系统最优化处理中的应用

介绍了EXCEL2000运用规划求解解决环境保护中出现的多约束条件、多变量问题的方法。     

优化布点的TOPSIS法研究

针对多目标系统的优化布点问题,尝试提出用改进的TOPSIS法研究水质环境监测点位的优化,并建立改进的TOPSIS法优化模型.实例分析表明,该方法充分利用了优化矩阵的信息,优选结果符合客观实际,可用于环境监测点位的优化布点.     

Spatial based compromise programming for multiple criteria decision making in land use planning

Today, competing land use is continuing to occur in many developed regions. In the Agricultural Development Zone of Western Sydney Region, which is characterised by complex landscape patterns, land use competition is widespread. From a land use planning perspective, identification of suitable locations for a given type of land use is necessary for decision makers to formulate land use alternatives in different locations, based on existing land potential and constraints. For such a region, use of a simple method that implements a categorical system and considers only inherent land characteristics in the analysis is often inadequate to arrive at an optimal spatial decision. The primary aim of this paper is to develop spatial modelling procedures for agricultural land suitability analysis using compromise programming (CoPr) and fuzzy set approach within a geographical information systems (GIS) environment. Five main sets of spatial data for use as decision criteria were developed by using fuzzy set methodology: a land suitability index (LSI) for maximising the land productivity objective; an erosion tolerance index (ETI) for minimising the erosion risk objective; a runoff curve number (CN) for maximising the water discharge regulation objective; an accessibility (RP) measure for maximising the land accessibility objective; and the proximity to water body (WP) for minimising the water pollution objective. An L _p -metric was used in the analysis utilising different strategies with representative indices ranging from a situation where full tradeoff among criteria occurs to a noncompensatory condition. Different weighting combinations were also applied, and decision analysis was carried out by using values ranging from 0 to 1.0, where 1.0 is considered as an ideal point. The CoPr model demonstrated in this paper yielded a promising result, as several different techniques of sensitivity analysis show reasonably good results. Likewise, an overlay of that result with the present land use/land cover indicates a good corresponding spatial matching between existing land use (orchard and cultivated land), and the cells (land parcels) classified as the best in CoPr. The results are amenable to various map display techniques, either using continuous values or by defining different cut off points in the data space within a raster GIS environment.     

Long-Term Planning of Waste Management System in the City of Regina – an Integrated Inexact Optimization Approach

In this study, an integrated solid waste management system based on inexact fuzzy-stochastic mixed integer linear programming (IFSMILP) has been applied to the long-term planning of waste management activities in the City of Regina. The model can effectively reflect dynamic, interactive, and uncertain characteristics of the solid waste management system in the city. The results have provided useful answers for the following questions: “What waste reduction goals are desired if the existing landfill's life is prolonged for 15 years?”, “What should be the waste flow allocation pattern in the city?”, “What should be done if the waste generation rate increases rapidly, while the relevant handling capacity is limited?”, and “What level of reliability will we have given the suggested waste management plan?”     

基于SDSS的水环境决策系统技术研究

空间决策支持系统(SDSS)作为地理信息系统与决策支持系统的结合体,兼有两者优点。文章将空间决策支持技术引入水环境计算中,讨论如何将水环境预测模型、决策分析方法与空间分析技术进行有机的结合,分析水环境空间决策模型的结构和建立过程,并结合应用实例——突发性水污染事故应急系统为例,阐明了其应用模型的特点,最后给出了相应的建设性结果。     

Optimal Control Models and Elicitation of Attitudes towards Climate Damages

This paper examines the consequences of various attitudes towards climate damages through a family of stochastic optimal control models (RESPONSE): cost-efficiency for a given temperature ceiling; cost-benefit analysis with a pure preference for current climate regime and full cost-benefit analysis. The choice of a given proxy of climate change risks is actually more than a technical option. It is essentially motivated by the degree of distrust regarding the legitimacy of an assessment of climate damages and the possibility of providing in due time reliable and non controversial estimates. Our results demonstrate that (a) for early decades abatement, the difference between various decision-making frameworks appears to matter less than the difference between stochastic and non stochastic approach given the cascade of uncertainty from emissions to damages; (b) in a stochastic approach, the possibility of non-catastrophic singularities in the damage function is sufficient to significantly increase earlier optimal abatements; (c) a window of opportunity for action exists up to 2040: abatements further delayed may induce significant regret in case of bad news about climate response or singularities in damages.     

A Knowledge-Based Approach to Environmental Biomonitoring

This paper presents the design, development and implementation of an integrated GIS-controlled knowledge-based system for environmental monitoring applications, utilizing indigenous flora for assessing quality. The system gathers and combines geographical, ecological, and physicochemical data of organisms' response to pollution within an intelligent computer program that (a) recognises groups of indigenous species suitable for long-term monitoring of a specific pollutant or a combination of pollutants, (b) estimates the ambient concentration of pollutant(s) from the population of the species comprising the bioindicator group and (c) provides biomonitoring capacity indices at national and international/transboundary levels. Significantly, a novel system in the form of a rational framework at the conceptual design level has been developed, that actually contributes towards achieving a cost-effective long-term biomonitoring program, with the flexibility to counter on-course any (anticipated or not) variations/modifications of the surveillance environment: the scheme assumes a robust dynamic cooperation between instrumental and biomonitoring systems, with a view to minimise uncertainty and monitoring costs and increase reliability of pollution control and abatement, aiming eventually at the shifting, partially or totally, from instrumental to natural monitoring. The proposed approach is presently implemented at pilot-scale for establishing a biomonitoring network at a large industrial area in Greece. The results obtained indicate that a cost-effective program can be only attained and maintained under a suitable financial/organizational scheme at the macro level, whereas the micro level viability strongly depends upon careful management of human resources and fixed assets.     

构建环境监测管理决策支持系统的初步设想

阐述了环境监测管理决策支持系统的信息来源,介绍了基础数据库的建立方式,指出环境监测管理决策支持系统包括系统储备信息、系统更新信息、请求信息和解决方案信息,由用户、语言系统、知识系统和问题处理系统组成,具备基础数据管理、决策支持和环境预警功能,具有实用性、开放性和高效性。     

Policy Characterization of Ecosystem management

This paper provides a comparison of ecosystem management (EM) to the traditional regulatory management approach and outlines the characteristics of EM from a policy perspective, defining the conditions under which this management tool can be successfully implemented. Ecosystem management is a collaborative and integrative tool focused on balancing societal needs, economic growth, and environmental protection to ensure the long-term ecological integrity of a particular ecosystem. The characteristics of this particular tool include: (1) its holistic approach to environmental problems; (2) its integration of values (economic, social, and environmental) through a collaborative, multi-partner, decision making structure; (3) its reliance on science to guide decisions and set boundaries; and (4) its ability to learn from the implementation of decisions (adaptive management). Examples are draw from Environment Canada's various regional ecosystem initiatives.     

基于环境质量监测的区域环境质量综合评价体系

环境质量的优劣直接关系到人类的生存和发展,如何对某一区域环境质量进行科学的综合评价对环境管理具有重要的理论和现实意义。根据环境质量评价指标的选择原则,以环境质量监测为基础,通过征求专家意见确定了能反映区域环境质量特性的指标及其权重,建立了区域环境质量的综合评价体系。并用此综合评价体系对四川省6个地区的环境质量进行了评价,计算了区域环境质量综合指数,结果表明,该评价体系简单、方便、适用性强且易于操作,为科学地评价和考核区域环境质量提供研究方法。