浅析新疆环境应急管理与决策支持系统

针对在处理、处置突发性环境污染事故中存在的突出问题,阐述了利用GIS等技术在设计开发新疆环境应急管理与决策支持系统的总体设计理念,对其总体应用框架、主要应用功能等进行了分析。该系统设计既满足应急管理需要又考虑了污染源日常管理的工作需要,将在实际应用中发挥重要作用。     

Strategic Management Decision Support System: An Analysis of the Environmental Policy Issues

In this paper we present a new approach for modeling environmental problem as a bilevel programming problem. To the authors best knowledge, this is the first attempt to use bilivel techniques to tackle such problems. We derive at solution to help decision makers to cope with environmental policy issues. San Francisco, Bay Area is used as a real world example with the solution to their environmental problem.California is presently faced with a serious deficit of solid waste treatment and disposal facilities. Federal legislation has sought to compel the States to assure the capacity to treat and dispose of their own wastes and the California Legislature has enacted laws requiring the counties to initiate programs so that they can treat and dispose of their own wastes. Neither the federal nor the State programs have met with success in California. California continues to ship greater and greater amounts of waste out-of-state, and the majority of California counties have not instituted plans acceptable to the State government regarding the treatment and disposal of their own wastes.In the few cases where sitting and licensing programs have been proposed, the policy-makers charged with their evaluation have proceeded with largely intuitive, non-quantitative evaluation of policy options, often ignoring most of the financial and environmental implication of their decisions.We have developed a strategic management decision model that can evaluate multiple solid waste management options from both economic and environmental standpoints. Examples of problems a quantitative model might evaluate include the economic and environmental impacts of multiple treatment or disposal facilities as opposed to only one site; the environmental impact of taxing dirty waste streams, thus encouraging waste treatment and/or minimization on-site; and the social risk resulting from transportation risks assuming one or more multiple treatment or disposal sites or the use of alternative transportation routes.Because of extensive information presently available for the San Francisco Bay region, we have investigated the regional waste management problem there under several different treatment and disposal scenarios. As appropriate, results from this regional model and from authors earlier work [1] will be applied to California as a whole.     

Monitoring Sustainable Forest Management in Different Jurisdictions

The concept of sustainable forest management (SFM) requires forest resource managers to monitor and collect information pertaining to their environmental, economic and social impact. There are increasing expectations from a variety of publics (government, customers, and other stakeholders) that forests be demonstrably well-managed, creating incentives for forest managers to design credible systems for assessing their management performance. It is against this background that local, national and international approaches to regulating forest practices have been evolving. This article reviews the different dimensions of governance as they relate to monitoring and information reporting in the forest sector. Specifically, it discusses the changing role of sovereignty, the effects of globalization and the emergence of civil society stakeholders in forestry-related decision-making. Concepts such as sovereignty and globalization have important implications for monitoring forest practices and for defining SFM. Whether SFM standard creation and enforcement involves a sovereign, shared-sovereignty or civil society approach will affect the level and nature of SFM monitoring. As a result, we need to better consider the concept of monitoring appropriate to the scale and intensity of operations, how monitoring and information reporting standards differ between jurisdictions, and what this means for independently verifying SFM at an inter-jurisdictional level.     

Land User Participation in Developing a Computerised Decision Support System for Combating Desertification

Combating desertification in natural rangelands has recently become a priority in large parts of southern Africa. Rangeland managers, farmers, scientists, conservationists and land users have been applying a variety of restoration technologies to address this problem. Bush encroachment, as part of the desertification process, involves the natural replacement of the herbaceous plant cover by undesirable problem woody species. The active and passive restoration technologies that are applied, are mainly based on indigenous knowledge and include the chemical, mechanical or manual reclamation of unproductive rangelands, as well as the combating of woody and alien species encroachment. Indigenous practices and knowledge play a major role in the effectiveness and success rate of these technologies. This project faces the challenge of bringing together both local and scientific knowledge in a single user-friendly, computerised Decision Support System (DSS) which is directly accessible by land users to support them in the process of decision making, concerning the combating of desertification. Case studies from central and northern Namibia were used to combine qualitative and quantitative data to develop this Decision Support System. The DSS currently consists of two databases and an expert system, which evaluates the results of land users’ management practices, and provides easily accessible information and advice for participants in the system, based on the incorporated data. The DSS is also linked to national and international web sites and databases to offer a wider range of information on technologies concerning agricultural and conservation practices.     

The Modeling Policy-Maker. On Decision Support Systems in Water Management

Computer models play an important role in modern water management as decision supporting tools to assess effects of possible measures in water systems. An important aspect in building these models is the selection of elements of the real world that should be incorporated in the model. For decision support tools, this selection depends on the policy measures and the effects to be evaluated. As some of these selections are strategic decisions, the policy-maker should be involved in the modeling process. In practice this is often not the case. Decisions, including the strategic ones, are usually all made by the modeling expert. This often leads to the situation that promising measures are not evaluated and sub optimal decisions are taken. This article focuses on the role which the policy-maker and the modeling expert should play in the modeling process. We formulate recommendations with respect to their communication by analysing the gap between this ideal situation and the day to day reality.     

Development and Application of Urban High Temporal-Spatial Resolution Vehicle Emission Inventory Model and Decision Support System

This paper reports on the development and application of an urban high temporal-spatial resolution vehicle emission inventory model and decision support system based on the current situation in China and actual vehicle emission control requirements. The system incorporates a user-friendly modular architecture that integrates a vehicle emission model and a decision support platform and includes scenario analysis and visualisation capabilities. A bottom-up approach based on localised emission factors and actual on-road driving condition has been adopted to develop the system. As a case study of application and evaluation, an emission reduction effect analysis of the supposed low-emission zone (LEZ) policy in Beijing (2012) was conducted. According to the simulated results in the forms of tables, histograms and grid maps, the establishment of this LEZ had a definite effect on the emission reduction of various types of air pollutants, especially carbon monoxide and hydrocarbon. In the system, the simulation methodology for identifying environmental benefits brought by the LEZ policy could be used to assess other similar environmental policies. Through flexible modification of configuration values or input data variables, the efficacy of separate or joint policies could be quantifiably evaluated and graphically displayed.     

流域水环境监测质量管理系统设计与实现

目前的水环境监测工作需要建立统一的水环境监测质量管理系统,这对于各级、各地水环境监测质量控制信息的规范化录入和分级汇总统计、信息共享具有重要的意义.在分析目前水环境监测质量管理存在问题的基础上,基于网络服务、地理信息等技术,设计实现了水环境监测质量管理系统.利用该系统,各级、各地水环境监测质量管理部门能够进行监测机构、持证人员、监测项目、仪器设备等信息的录入和定期维护,同时共享监测方法、政策法规、标准规范、标准物质等信息.同时上级管理部门能够查看、统计所辖部门的水环境监测质量控制信息,从而为流域水环境突发事件应急资源调配、辅助决策等提供信息支撑.     

空气自动监测系统运行维护与管理方法初探

根据乐山市空气自动监测系统多年来的运行管理实践,通过对长光程环境空气质量自动监测系统的性能和特征的了解掌握,论述了进行预防性维护、定期巡检维护和现场故障排除的重要性,提出了系统运行维护和管理的方法以及常见故障分析处理技术。     

学习先进理念、促进环境监测管理水平提升

通过在意大利的考察学习,对学习考察的收获和感受进行了总结,并结合意大利现行环境政策和环境监测先进经验提出了我国在环境保护和监测管理方面的设想和建议,供同行参考。     

论环境监测在总量控制中的技术支持和保障作用

从环境监测工作的方针和职能论述了环境监测在实行污染物排放总量控制中的支持和保障作用；从实行总量控制的技术要求阐明了需要环境监测的支持和保障，并提出了总量控制要建立以环境监测为主体的技术支持和保障体系，以促进总量控制计划目标的实现     

试论环境监测数据审核机制的建立及运作

环境监测数据审核是环境监测质量管理的重要一环。在对环境监测数据审核重要性的认识，及其内容，依据分析解释的基础上建立了环境监测数据审核运行机制。并提出了几点措施，确保环境监测数据在获取过程中得到了有效监控，把监测数据差错率消除在监测过程的各个环节。     

A Superiority-Inferiority-Based Inexact Fuzzy Stochastic Programming Approach for Solid Waste Management Under Uncertainty

A superiority–inferiority-based inexact fuzzy stochastic programming (SI-IFSP) model was developed for planning municipal solid waste management systems under uncertainty. The SI-IFSP approach represents a new attempt to tackle multiple uncertainties in objective function coefficients which are beyond the capabilities of existing inexact programming methods. Through introducing the concept of fuzzy random boundary interval, SI-IFSP is capable of reflecting multiple uncertainties (i.e., interval values, fuzzy sets, probability distributions, and their combinations) in both the objective function and constraints, leading to enhanced system robustness. The developed SI-IFSP method was applied to a case study of long-term municipal solid waste management. Useful solutions were generated. A number of decision alternatives could be generated based on projected applicable conditions, reflecting the compromise between system optimality and reliability as well as the tradeoffs between economic and environmental objectives. Moreover, the consequences of system violations could be quantified through introducing a set of economic penalties, reflecting the relationships between system costs and constraint violation risks. The results suggest that the proposed SI-IFSP method can explicitly address complexities in municipal solid waste management systems and is applicable to practical waste management problems.     

A Framework for the Design of Ecological Monitoring Programs as a Tool for Environmental and Nature Management

Environmental and nature management can not operate effectivelywithout reliable information on changes in the environment andon the causes of those changes. Ecological monitoring canrepresent an important source of information. However, manyoperational monitoring programs are not very effective, i.e., not very useful for decision-making. We present a conceptualframework for the development and maintenance of effectiveecological monitoring programs. In the decision-making process,two main functions for monitoring can be recognized: an earlywarning and an early control function. Both these functionsrequire a high diagnostic power. This is used as a guideline forthe design process. The design consists of choices concerningmonitoring objectives, objects and variables to be monitored,sampling strategy and design, data collection, data handling, maintenance and organization. Arguments commonly put forward inliterature and in practice to support the various choices aresubjected to a critical analysis. The framework will be helpfulin the design of effective monitoring systems as it avoidsimportant components to be overlooked, clarifies the relationbetween the different components, maximizes the exploitation ofexisting possibilities and opportunities and identifiesshortcomings in advance. This will result in monitoring programsthat should be able to live up to their expectations.     

The Use of Atmospheric Dispersion Models in Risk Assessment Decision Support Systems for Pesticides

In the evaluation of potentially adverse effects oforganic chemicals such as pesticides on theenvironment the atmosphere may play an important role.After its release to the atmosphere the chemical willbe transported/dispersed in the atmosphere and finallyit will be removed either by atmospheric-chemicaldestruction or by deposition to the underlying soil orsurface water. In a risk assessment decision supportsystem both ambient concentrations and depositionfluxes must be known to evaluate the risk of directexposure (inhalation) or the risk of soil and watercontamination caused by deposition. This paperdiscusses the use of atmospheric dispersion models insuch risk assessment decision support systems.     

A New All Season Passive Sampling System for Monitoring Ozone in Air

A new all season passive sampling system for monitoring O₃ in the atmosphere has been developed in the laboratory and validated in the field. The unique features for this system include a newly designed passive sampler and a rain shelter, which allow the passive sampler to be installed in the field facing downwards. An equation associated with meteorological parameters is used to calculate the passive sampling rates. This system has been extensively tested in the lab (temperature from –18 to 20°C, relative humidity from 13 to 81%, and wind speed from 0.5 to 150 cm/s) and validated in the field in climates of all seasons. The accuracy of the ozone concentrations in the atmosphere obtained with the use of the new passive sampling system was higher than 85% compared to those obtained with continuous ozone analyzers. The new ozone passive sampling system can be used to measure ambient O₃ concentrations ranging from 3 ppb to 1000 ppb based on one-day exposure and 0.1 ppb to 140 ppb for a monthly exposure period. It is also reasonable to conclude that the new passive sampling system can be used for eight-hour exposure study because of the low field blanks and high sampling rates.     

Air Quality Monitoring and Management in Lisbon

The environmental decision-making process is related with the interpretation of data both in spatial and temporal dimensions. This paper presents a methodology that integrates the time-space framework of air quality data to infer the temporal pattern and spatial variability that could be interpreted for environmental decision purposes. Variograms that accommodate time and space lags were used for the analysis and proved to be effective. Its environmental meaning, in particular its relationship with traffic patterns is discussed. Data from air quality monitoring stations located in the central part of Lisbon were used in this study. It describes a strategy to identify the type of vehicles responsible for certain pollutant levels, particularly for nitrogen oxides, and discusses the application of new air quality European legislation to the city of Lisbon, Portugal.     

A Novel Formulation for Designing a Monitoring Strategy: Application to the Design of a River Quality Monitoring System

In this work, we propose a technique to automatically optimize the monitoring of any distributed indicator (concentration of a substance along a river, blood pressure of a patient over time, etc.) for which a reliable estimate is previously available. From a mathematical point of view, the problem is based on obtaining a reliable estimate of the chosen indicator (e.g., by numerical simulation), and then solving a multi-objective optimization problem (with mixed real and integer variables) whose solution must provide an efficient and satisfactory monitoring strategy. As an illustrative case, we show the steps to follow in order to implement that strategy when designing a system for monitoring water quality in a river. Finally, we present and analyze the results when applying the proposed technique to study a real case in the Neuse River (North Carolina, USA).     

重视监测数据 强化量化管理

论述了“八项制度”的共同性质，指出了监测数据是量化管理的基础，提出了强化检验效果的措施。     

An Interval-Parameter Fuzzy-Stochastic Programming Approach for Municipal Solid Waste Management and Planning

In this study, an integrated fuzzy-stochastic linear programming model is developed and applied to municipal solid waste management. Methods of chance-constrained programming and fuzzy linear programming are incorporated within a general interval-parameter mixed-integer linear programming framework. It improves upon the existing optimization methods with advantages in uncertainty reflection, data availability, and computational requirement. The model can be used for answering questions related to types, times and sites of solid waste management practices, with the objective of minimizing system costs over the planning horizon. The model can effectively reflect dynamic, interactive, and uncertain characteristics of municipal waste management systems. In its solution process, the model is transformed into two deterministic submodels, corresponding to upper and lower bounds of the desired objective function values under a given significance level, based on an interactive algorithm. Results of the method's application to a hypothetical case indicate that reasonable outputs have been obtained. It demonstrates the practical applicability of the proposed methodology.