EIA,Decision-making Theory and Screening and Scoping in UK Practice

As an aid to decision making Environmental Impact Assessment (EIA) is seen as a rational and systematic process which is often held to be holistic and proactive in its approach to environmental protection (Glasson et al., 1999). The roots of EIA are firmly located within the 1960s' demand for a more systematic and objective approach to environmental decision making and hence within the rationalist model of decision making theory. This paper examines the key stages of the EIA process to assess how far EIA conforms to the rationalist model today. Most research in EIA decision making has focused on the project authorization process and not the crucial decisions made at the earlier stages of screening and scoping. This study examines those early stages within the context of UK EIA practice. From this examination the paper attempts to locate EIA within decision-making theory.     

A Knowledge-Based Systems Approach to Design of Spatial Decision Support Systems for Environmental Management

/ This paper describes a framework for designing spatial decision support systems for environmental management using a knowledge-based systems approach. An architecture for knowledge-based spatial decision supportsystems (KBSDSS) is presented that integrates knowledge-based systems with geographical information systems (GIS) and other problem-solving techniques. A method based on spatial influence diagrams is developed for representation of environmental problems. The spatial influence diagram provides an interface through which knowledge-based systems techniques can be applied to build capabilities for problem formulation, automated design, and execution of a solution process. In addition to the flexibility and developmental advantages of knowledge-based systems, the KBSDSS incorporates expert knowledge to provide assistance for structuring spatial influence diagrams and executing a solution process that automatically integrates the GIS, data base, knowledge base, and different types of models. The framework is illustrated with a system, known as the Islay Land Use Decision Support System (ILUDSS), designed to assist planners in strategic planning of land use for the development of the island of Islay, off the west coast of Scotland.KEY WORDS: Geographical information systems; Spatial decision support systems; Knowledge-based systems; Spatial influence diagrams; Environmental management     

Bringing diverse knowledge sources together--a meta-model for supporting integrated catchment management

Integrated catchment management (ICM), as promoted by recent legislation such as the European Water Framework Directive, presents difficult challenges to planners and decision-makers. To support decision-making in the face of high complexity and uncertainty, tools are required that can integrate the evidence base required to evaluate alternative management scenarios and promote communication and social learning. In this paper we present a pragmatic approach for developing an integrated decision-support tool, where the available sources of information are very diverse and a tight model coupling is not possible. In the first instance, a loosely coupled model is developed which includes numerical sub-models and knowledge-based sub-models. However, such a model is not easy for decision-makers and stakeholders to operate without modelling skills. Therefore, we derive from it a meta-model based on a Bayesian Network approach which is a decision-support tool tailored to the needs of the decision-makers and is fast and easy to operate. The meta-model can be derived at different levels of detail and complexity according to the requirements of the decision-makers. In our case, the meta-model was designed for high-level decision-makers to explore conflicts and synergies between management actions at the catchment scale. As prediction uncertainties are propagated and explicitly represented in the model outcomes, important knowledge gaps can be identified and an evidence base for robust decision-making is provided. The framework seeks to promote the development of modelling tools that can support ICM both by providing an integrated scientific evidence base and by facilitating communication and learning processes.     

EIA application in China's expressway infrastructure: clarifying the decision-making hierarchy

China's EIA Law came into effect in 2003 and formally requires road transport infrastructure development actions to be subject to Environmental Impact Assessment (EIA). EIAs (including project EIA and plan EIA, or strategic environmental impact assessment, SEA) have been being widely applied in the expressway infrastructure planning field. Among those applications, SEA is applied to provincial level expressway network (PLEI) plans, and project EIA is applied to expressway infrastructure development 'projects' under PLEI plans. Three case studies (one expressway project EIA and two PLEI plan SEAs) were examined to understand currently how EIAs are applied to expressway infrastructure development planning. Through the studies, a number of problems that significantly influence the quality of EIA application in the field were identified. The reasons causing those problems are analyzed and possible solutions are suggested aimed at enhancing EIA practice, helping deliver better decision-making and ultimately improving the environmental performance of expressway infrastructure.     

Discretionary Judgement in Local Planning Authority Decision Making: Screening Development Proposals for Environmental Impact Assessment

Screening is a critical decision-stage in the Environmental Impact Assessment (EIA) process and involves the determination of whether or not a development proposal will require EIA. This decision requires a discretionary judgement on whether the development has the potential to cause ‘significant environmental effects’, and consequently there is potential for diversity to exist in formal requests for EIA. Drawing upon a comprehensive survey of Local Planning Authorities (LPAs) in England and Wales, this paper explores the characteristics of LPA screening decision making since the introduction of revised EIA regulations in March 1999. The paper starts with a theoretical overview of rationality, decision making and planning theory, followed by a brief review of the regulatory context of EIA screening. The research approach is then outlined and the survey findings are presented, including a detailed consideration of organizational and individual level analyses set within the context of planning theory judgement debates. Comparisons with other European countries are briefly made, before drawing conclusions and recommendations.     

How Can We Make Progress with Decision Support Systems in Landscape and River Basin Management? Lessons Learned from a Comparative Analysis of Four Different Decision Support Systems

This article analyses the benefits and shortcomings of the recently developed decision support systems (DSS) FLUMAGIS, Elbe-DSS, CatchMODS, and MedAction. The analysis elaborates on the following aspects: (i) application area/decision problem, (ii) stakeholder interaction/users involved, (iii) structure of DSS/model structure, (iv) usage of the DSS, and finally (v) most important shortcomings. On the basis of this analysis, we formulate four criteria that we consider essential for the successful use of DSS in landscape and river basin management. The criteria relate to (i) system quality, (ii) user support and user training, (iii) perceived usefulness and (iv) user satisfaction. We can show that the availability of tools and technologies for DSS in landscape and river basin management is good to excellent. However, our investigations indicate that several problems have to be tackled. First of all, data availability and homogenisation, uncertainty analysis and uncertainty propagation and problems with model integration require further attention. Furthermore, the appropriate and methodological stakeholder interaction and the definition of ‘what end-users really need and want’ have been documented as general shortcomings of all four examples of DSS. Thus, we propose an iterative development process that enables social learning of the different groups involved in the development process, because it is easier to design a DSS for a group of stakeholders who actively participate in an iterative process. We also identify two important lines of further development in DSS: the use of interactive visualization tools and the methodology of optimization to inform scenario elaboration and evaluate trade-offs among environmental measures and management alternatives.     

Key actor perspectives on stakeholder engagement in Omani Environmental Impact Assessment: an application of Q-Methodology

Stakeholder engagement (SE), particularly with representatives of locally affected communities, is integral to Environmental Impact Assessment (EIA) processes, so critical evaluation of SE is necessary across a range of different socio-political contexts. EIA SE practice in the Sultanate of Oman is examined using Q-Methodology, a qualitative-quantitative discourse analysis technique, in order to evaluate key-actor perspectives and policy directions. Four discourses emerge, pertaining to (1) the institutionalisation of SE; (2) business as usual; (3) rights-centred engagement; and (4) decentralisation of EIA institutions. Consensus emerges that shows support for transparency and formalisation of SE; greater citizen-centred decision-making power; transparency in government guidelines; and the elimination of developer-led consultation processes. Policy options for reforming EIA policy are discussed, including a code of participation practice and a toolkit of suitable engagement methods.     

EIA in a risk society

Environmental Impact Assessment (EIA) was developed and introduced in the 1960s during a time that was dominated by three key societal influences. These were the growth of modern environmental concern, the drive for more rational, scientific and objective environmental decision making and a desire for more public involvement in environmental decision making. The legitimacy of EIA, as a tool to aid decision making, lies in its ability to meet the requirements of all three demands, the chief among these being its ability to be a systematic scientific and rational approach to decision making. Yet today we live in a society that no longer accepts the rationalist model as either possible or desirable. The deference to ‘the expert’ and our trust in science and technology has steadily declined during the period of EIAs development and widespread use. Today, EIA still depends for its legitimacy on its claim to provide a systematic and scientific approach to assessments, while society has moved on. This paper examines this growing divergence and argues that it is time for a major re‐evaluation of the role of EIA in environmental decision making.     

DEVELOPING AND IMPLEMENTING DECISION SUPPORT SYSTEMS: A CRITIQUE AND A CHALLENGE1

ABSTRACT: Computer-based models together with their interactive interfaces are typically called decision support systems. DSSs are interactive computer-based information providers. The common objective of all DSSs, regardless of the frameworks, methodologies, or techniques used, is to provide timely information that supports human decision makers - at whatever level of decision making. The informational needs of the decision making process are the key considerations that motivate the development of DSSs. The growth of DSS development and use has been substantial. In spite of this impressive growth, computer-aided decision support systems can still be improved and made more useful to those they are intended to support. Researchers and practitioners, and indeed the computer industry, continue to identify ways of doing this. This paper reviews some of these needs and opportunities by focusing on the process of successful DDS development and implementation. The paper outlines an approach and some guidelines for developing DSSs. The approach emphasizes and requires considerable interaction between the DSS developers (analysts) and the DSS users (decision makers). This interaction and feedback is required throughout the entire DSS building, testing and evaluation (debugging), and implementation processes. The paper concludes by identifying some research needs and opportunities affecting DSS development and effective use.     

Developing decision support systems for integrated coastal management in the tropics: is the ICM decision-making environment too complex for the development of a useable and useful DSS?

Integrated coastal management in the tropics requires the conservation of vulnerable and diverse ecosystems such as coral reefs and mangroves as well as the management of land and marine-based human activities. Decision-making for integrated coastal management involves multiple decision-makers and multiple stakeholders often with conflicting needs and interests. Decision support systems can be developed to improve our understanding of the inter-relationships between the natural and socio-economic variables and hence result in improved decision-making. The question is whether this decision making environment is actually too complex for the development of useful and useable decision support systems. This paper describes the components of the decision making environment and the components of a decision support system. It also explores the various techniques available to deal with different modelling needs, the constraints of inadequate data and the multi-objective decision making environment. In addition, different techniques of developing decision support systems can play important roles within integrated coastal management. Three coastal decision support systems are evaluated in terms of their design and role in integrated coastal management and are used to evaluate the potential to develop decision support systems for integrated coastal management.     

Integrating conflict analysis and consensus reaching in a decision support system for water resource management

The importance of shared decision processes in water management derives from the awareness of the inadequacy of traditional--i.e. engineering--approaches in dealing with complex and ill-structured problems. It is becoming increasingly obvious that traditional problem solving and decision support techniques, based on optimisation and factual knowledge, have to be combined with stakeholder based policy design and implementation. The aim of our research is the definition of an integrated decision support system for consensus achievement (IDSS-C) able to support a participative decision-making process in all its phases: problem definition and structuring, identification of the possible alternatives, formulation of participants' judgments, and consensus achievement. Furthermore, the IDSS-C aims at structuring, i.e. systematising the knowledge which has emerged during the participative process in order to make it comprehensible for the decision-makers and functional for the decision process. Problem structuring methods (PSM) and multi-group evaluation methods (MEM) have been integrated in the IDSS-C. PSM are used to support the stakeholders in providing their perspective of the problem and to elicit their interests and preferences, while MEM are used to define not only the degree of consensus for each alternative, highlighting those where the agreement is high, but also the consensus label for each alternative and the behaviour of individuals during the participative decision-making. The IDSS-C is applied experimentally to a decision process regarding the use of treated wastewater for agricultural irrigation in the Apulia Region (southern Italy).     

中国环评制度的发展历程及展望

环评制度作为中国知名度最高的环境管理手段之一,在环保工作中发挥了重要作用,但近年来也暴露出众多问题,广为社会关注。特别是十八大以来,关于环评改革的呼声日益高涨。本文系统回顾了环境影响评价制度在中国的发展历程,以环评重大事件为分水岭,首次将环评发展历程划分为成长期、发展期、壮大期和问题高发期。以此为基础,总结了当前环评制度的主要问题,并剖析了其深层次原因,包括制度设计失当、体系运行失效、公众意识觉醒等,最后针对这些问题为环评制度的优化与发展提出了建议。     

Sustainable Development and Environmental Impact Assessment in Egypt: Historical Assessment

The achievement of sustainable development demands the integration of environment and development. To achieve sustainable development requires a close collaboration and cooperation between environmentalists and the decision-makers. The evidence is that in developing countries (Egypt, as an example) the gap is widening rather than closing. Intensive research programs are needed, for instance in the field of sustainable development and urban environmental management, to narrow that gap. Environmental Impact Assessment (EIA) has become a management tool for achieving acceptable forms of environmentally sound development and sustainability; at best it is proving nothing more than a permit to move a project ahead.It is recommended that indicators for sustainable development and their progress be fully monitored. Performance indicators should always be established, not only for project implementation, but also during and after the implementation process to make sure that all mitigation measures are satisfactorily implemented. This can be achieved by linking the license granting authority for action to the actual implementation of these measures. To secure the environmental sustainability of an environmental project, it is also important to have the EIA document as an integral part of the license application document, and to make it available to inspectors during their necessarily frequent inspection visits.     

Mainstreaming environmental impact assessment as a tool for environmental management in Ethiopia: Current challenges and directions for future improvements

The Environmental Impact Assessment (EIA) was first entered into force in the United States of America in 1969 through the National Environmental Policy Act. Since then, the EIA was implemented in many other countries. In Ethiopia, EIA was formally introduced in 2002 by Proclamation No. 299/2002 after the establishment of the Environmental Protection Authority (EPA) in 1995 and the formulation of the Environmental Policy of Ethiopia (EPE) in 1997. This study, which is based on a document review, interviews, and the application of a survey questionnaire, analyzes the procedures and practices of the Ethiopian EIA system, seeks to clarify fundamental information regarding the EIA system and characteristics of the key elements of EIA processes, and finally, offers suggestions that could improve EIA practices in the country. The overall result of this study shows that Ethiopia adopted EIA procedures that are similar to western models; however, despite approximately 15 years of experience, its implementation is still poor to the point that the use of EIA as an instrument of environmental management could be questioned. The challenges identified by this study include institutional, organizational, and professional capacity gaps, which, in turn, have resulted in constraints ranging from improper screening, scoping, and production of EIA reports to ineffective review, monitoring, and post‐project evaluation. Additional challenges to the system include poor governance and corruption, rapid economic growth, and the mushrooming of micro‐ and small‐scale enterprises that cause pollution and environmental degradation. This article also provides comprehensive suggestions to improve EIA practices in Ethiopia.     

我国现行环境影响评价制度面临的问题与对策

环境影响评价制度在我国经过近30年的发展与完善,在有效加强环境管理,从源头上防止环境污染和生态环境破坏方面起到了重要作用。但从现实看,其并未能从根本上遏制我国生态环境的恶化,各级政府的发展观、环境职能部门的独立性和公正性、评价机构的中立性、环境报告编制的技术性缺失和环境影响评价制度的缺憾等问题都严重制约着环境影响评价的作用发挥,只有解决这些问题,通过完善制度、科学评价,公正审批和有效监督才能让环境影响评价真正成为环境的守护神,实现经济社会发展与自然的和谐。     

Practitioner Perspectives on the Role of Science in Environmental Impact Assessment

A large body of literature addresses the role of science in environmental impact assessment (EIA) but less attention has been given to the views of practitioners themselves. In this research a survey of 31 EIA practitioners in Western Australia was undertaken to determine their perceptions of the quality and importance of science in EIA. The survey results are compared with previous theoretical, empirical, and survey studies of the role of science in EIA. Interview questions addressed the role of science in impact prediction, monitoring activities, mitigation and management, and EIA decision-making. It was clear from the interviews that many practitioners are satisfied with the quality of science currently used in EIA, but do not believe that it is given sufficient importance in the process. The quality and importance of science in the predecision stages of EIA was rated higher than in the postdecision stages. While science was perceived to provide the basis for baseline data collection, impact prediction, and mitigation design, it was seen to be less important during decision-making and ongoing project management. Science was seen to be just one input to decision-makers along with other factors such as sociopolitical and economic considerations. While time and budget constraints were seen to limit the scientific integrity of EIA activities, pressure from the public and regulatory authorities increased it. Improving the scientific component of EIA will require consideration of all these factors, not just the technical issues.     

Policy and Practice

Saudi Arabia has recently begun to implement its General Environmental Regulations. The main purpose is to ensure that environmental considerations are taken into account at all levels of planning with an emphasis on incorporating EIA (Environmental Impact Assessment) into development activities. However, there is a need to develop a broad framework of SEA (Strategic Environmental Assessment) for the proper integration of sustainability into decision‐making processes. This paper reviews and discusses a framework for ensuring sustainability in Saudi Arabia, particularly at the local level. The paper develops guidelines and a framework for implementing the principles of sustainability in Saudi municipalities through SEA.     

Tri-generation investment analysis using Bayesian network: A case study

The increasing energy demand, increasing energy dependency, energy supply security, and environmental concerns have become a part of business policies since COP21 agreements in Paris, 2015. Combined cooling, heating, and power (CCHP or tri-generation) systems play an important role in paying the necessary attention to these policies. Tri-generation investment is a complex decision with hybrid use of energy resources. This article aims to reduce the complexity of this decision by the use of Bayesian belief networks in pre-investment stage of tri-generation investment project cycle. The proposed model gives an insight into decision analysis and helps the decision-makers either generate or purchase from it in order to meet the energy demand with different scenarios. The model is studied for a university case. The investment decision for a CCHP (tri-generation) system will be discussed as an alternative for purchasing the electricity and natural gas from the national grids.     

A DECISION SUPPORT SYSTEM FOR WATER QUALITY DATA AUGMENTATION: A CASE STUDY1

ABSTRACT: Recent developments in water quality monitoring have generated interest in combining non-probability and probability data to improve water quality assessment. The Interagency Task Force on Water Quality Monitoring has taken the lead in exploring data combination possibilities. In this paper we take a developed statistical algorithm for combining the two data types and present an efficient process for implementing the desired data augmentation. In a case study simulated Environmental Protection Agency (EPA) Environmental Monitoring and Assessment Program (EMAP) probability data are combined with auxiliary monitoring station data. Auxiliary stations were identified on the STORET water quality database. The sampling frame is constructed using ARC/INFO and EPA's Reach File-3 (RF3) hydrography data. The procedures for locating auxiliary stations, constructing an EMAP-SWS sampling frame, simulating pollutant exposure, and combining EMAP and auxiliary stations were developed as a decision support system (DSS). In the case study with EMAP, the DSS was used to quantify the expected increases in estimate precision. The benefit of using auxiliary stations in EMAP estimates was measured as the decrease in standard error of the estimate.     

我国开展政策环评的必要性及其基本框架研究

政策环评对决策科学化和民主化具有重要意义，我国2014年修订的《环境保护法》也为开展政策环评提供了一定法律依据。然而，由于我国政治体制和决策模式与西方国家明显不同，政策环评不能照搬国外模式，必须基于自身国情探索中国模式。为此，本文对国际上比较有代表性的政策环评实践进行了总结，对我国开展政策环评的必要性进行了分析，并探讨了我国开展政策环评需要考虑的关键问题，包括政策环评的目的、对象、重点和程序等。具体而言，对于实施政策环评的目的，可表述为健全决策机制、促进环境公平和凝聚社会共识三个方面；对于评价对象，在广义上可包含目前环境影响评价法尚未覆盖的所有高层次决策，在狭义上可将政府部门制定的行政法规、规章和规范性文件等作为重点；对于评价重点，建议整合"以影响为核心"的战略环评和"以制度为核心"的战略环评两种类型的优点，兼顾影响评价和制度评价；对于评价程序，政策环评应基于完全理性决策模式，与政策过程充分融合，在不同阶段分别发挥不同作用。