The application of Geographical Information Systems to determine environmental impact significance

This paper presents a new methodology for impact assessment—SIAM (Spatial Impact Assessment Methodology)—which is based on the assumption that the importance of environmental impacts is dependent, among other things, on the spatial distribution of the effects and of the affected environment. The information generated by the use of Geographical Information Systems (GIS) in impact identification and prediction stages of Environmental Impact Assessment (EIA) is used in the assessment of impact significance by the computation of a set of impact indices. For each environmental component (e.g., air pollution, water resources, biological resources), impact indices are calculated based on the spatial distribution of impacts. A case study of impact evaluation of a proposed highway in Central Portugal illustrates the application of the methodology and shows its capabilities to be adapted to the particular characteristics of a given EIA problem.     

A Strategic Project Appraisal framework for ecologically sustainable urban infrastructure

Actors in the built environment are progressively considering environmental and social issues alongside functional and economic aspects of development projects. Infrastructure projects represent major investment and construction initiatives with attendant environmental, economic and societal impacts across multiple scales. To date, while sustainability strategies and frameworks have focused on wider national aspirations and strategic objectives, they are noticeably weak in addressing micro-level integrated decision making in the built environment, particularly for infrastructure projects. The proposed approach of this paper is based on the principal that early intervention is the most cost-effective and efficient means of mitigating the environmental effects of development projects, particularly macro infrastructure developments. A strategic overview of the various project alternatives, taking account for stakeholder and expert input, could effectively reduce project impacts/risks at low cost to the project developers but provide significant benefit to wider communities, including communities of future stakeholders. This paper is the first exploratory step in developing a more systematic framework for evaluating strategic alternatives for major metropolitan infrastructure projects, based on key sustainability principles. The developed Strategic Project Appraisal (SPA) framework, grounded in the theory of Strategic Environmental Assessment (SEA), provides a means of practically appraising project impacts and alternatives in terms of quantified ecological limits; addresses the neglected topic of metropolitan infrastructure as a means of delivering sustainability outcomes in the urban context and more broadly, seeks to open a debate on the potential for SEA methodology to be more extensively applied to address sustainability challenges in the built environment. Practically applied and timed appropriately, the SPA framework can enable better decision-making and more efficient resource allocation ensuring low impact infrastructure development.     

Sustainable building assessment tool for project decision makers and its development process

The primary purpose of Sustainable Building Assessment (SBA) tools is for behavioral changes in public building practice. In the Web 3.0 era, even non-experts may have the capacity to select and use Information & Communication Technology (ICT) tools to solve complicated problems in sustainable building decision making without any expert help. It is clear that the R&D of these tools which directly target project decision makers is a significant project for researchers and policy makers who are tasked with the challenge of changing individual building practice for regional sustainability. The purpose of the study is to suggest a tool and its development process for sustainable building assessment by project decision makers, especially targeting non-expert groups. This study defines an SBA tool for project decision makers based on a typology and suggests a “3-layer development process framework”. For the theoretical Background, we integrate interdisciplinary methods and principles such as cognitive problem-solving and sustainable building delivery, including long-term community benefits in a region and an information system development process. This framework is based on Boehem's spiral model for information system development processes and especially emphasizes the first cycle to develop a core set of indicators fit for the non-expert user's problem solving process. This presents an iterative and gradual process with the aim of approaching the tool type from passive tools such as checklists and guidelines, to interactive software, especially interactive DSS (Decision Support Systems) online ICT platforms. The development process is comprised of 8 stages: This includes the use of mixed-method sequential design, including interviews, workshops, the Delphi survey technique, FD-AHP weight analysis, and scenario analysis. In addition, the study presents a case study of the application of the first cycle to develop a core set of indicators and discusses its effectiveness. This study may help researchers by providing a clear and effective method to understand interdisciplinary approaches to develop appropriate tools for sustainable building practice in a regional context.     

Fuzzy-based computational intelligence to support screening decision in environmental impact assessment: A complementary tool for a case-by-case project appraisal

Screening is a key stage in environmental impact assessment (EIA), but the most common approach based on policy delineation are inherently arbitrary. On the other hand, a case-by-case approach can be complex, slow, and costly. This paper introduces a computational intelligence based on hybrid fuzzy inference system (h-FIS), combining data-driven and expert knowledge, in order to assess its capability of supporting a case-by-case screening in project appraisal. For empirical research, a dataset with appraisal variables of projects highway was made available by a Brazilian environmental protection agency (EPA). Firstly, using this dataset, multivariate analyses were performed to find criteria (x_i) capable of indicating statistically significant differences among projects, previously screened by EPA experts into three types (simplified, preliminary, and comprehensive) of environmental impact study (EIS). Then, h-FIS was built through machine learning, using the FRBCS·W algorithm, with x_i as input predictors and the type of EIS as the output target. The performances of alternative approaches were compared using cross-validation accuracy tests and the kappa index, with a significance level of 0.05. As a result, the h-FIS achieved accuracy of 92.6% and a kappa index of 0.88, which represented almost perfect agreement between the screening decision provided by the h-FIS and the one performed by the EPA experts. In conclusion, the fuzzy-based computational intelligence was capable of dealing with the complexity involved in screening decision. Therefore h-FIS be considered a promising complementary tool for a case-by-case project appraisal in EIA. For further advances, future research should assess other algorithms, such as genetic fuzzy systems, in order to strengthen the proposed system and make it generally applicable in other projects subject to EIA.     

A Decision Support System Approach for Rivers Monitoring and Sustainable Management

This paper presents a Decision Support System (DSS) approach developed in the context of the Copernicus project entitled System for Water Monitoring and Sustainable Management based on Ground Stations and Satellite Images (WATERMAN). The main objective of WATERMAN is the monitoring and management of the Strymon River in the Southern Balkans. The specific DSS integrates the main components of WATERMAN and helps the decision maker to monitor the Strymon region; to control and forecast the quantity and quality of the river water; as well as to make objective decisions about the state of the water based on data provided by radio computers, earth stations and satellite images processed by mathematical and statistical models and Geographical Information Systems (GIS).     

Health impact assessment and health equity in sub-Saharan Africa: A scoping review

BackgroundNatural resource extraction projects can have positive but also negative effects on the health of affected communities, governed by demographic, economic, environmental, physical and social changes. Negative effects often prevail and these might widen existing health inequities. Health impact assessment (HIA) is a decision-support tool that aims at maximizing benefits and minimizing negative impacts on people's health. A core value of HIA is equity; yet, little is known about health equity in the frame of HIA, particularly in sub-Saharan Africa.MethodologyWe conducted a scoping review to determine whether and to what extent HIA in sub-Saharan Africa addresses health equity. We included peer-reviewed publications and guidelines pertaining to HIA, environmental impact assessment (EIA) and social impact assessment (SIA). Health equity was investigated by identifying (i) how health considerations were addressed and (ii) whether health was stratified by subgroups of the community.ResultsOut of 1′640 raw hits, we identified 62 articles (16 HIA, 36 EIA, one SIA and nine integrated assessments), 32 of which specifically addressed health. While 20 articles focused on a specific health topic, 12 articles used a more comprehensive approach to address health. In 15 articles there were specific subgroup analyses (e.g. mothers, children or marginalized groups) as a measure of health equity. Another 12 papers referred to the community in a more general way (e.g. affected). Without exception, health was an integral part of the nine included guidelines. HIA guidelines addressed health systematically through environmental health areas, risk assessment matrix or key performance indicators.ConclusionsWe found evidence that previously conducted HIA in sub-Saharan Africa and current guidelines address health equity. However, there is a need to stratify community subgroups more systematically in order to determine health differentials better. Future HIA should consider community heterogeneity in an effort to reduce health inequities by “leaving no one behind”, as suggested by the Sustainable Development Goals.     

SHARE IT: Co-designing a sustainability impact assessment framework for urban food sharing initiatives

Urban food systems must undergo a significant transformation if they are to avoid impeding the achievement of UN Sustainable Development Goals. One reconfiguration with claimed sustainability benefits is ICT-mediated food sharing – an umbrella term used to refer to technologically-augmented collective or collaborative practices around growing, cooking, eating and redistributing food – which some argue improves environmental efficiencies by reducing waste, providing opportunities to make or save money, building social networks and generally enhancing well-being. However, most sustainability claims for food sharing have not been evidenced by systematically collected and presented data. In this paper we document our response to this mismatch between claims and evidence through the development of the SHARECITY sustainability Impact assessment Toolkit (SHARE IT); a novel Sustainability Impact Assessment (SIA) framework which has been co-designed with food sharing initiatives to better indicate the impact of food-sharing initiatives in urban food systems. We demonstrate that while several SIA frameworks have been developed to evaluate food systems at the urban scale, they contain few measures that specifically account for impacts of the sharing that initiatives undertake. The main body of the paper focuses on the co-design process undertaken with food sharing initiatives based in Dublin and London. Attention is paid to how two core goals were achieved: 1) the identification of a coherent SIA framework containing appropriate indicators for the activities of food sharing initiatives; and 2) the development of an open access online toolkit for in order to make SIA reporting accessible for food sharing initiatives. In conclusion, the co-design process revealed a number of technical and conceptual challenges, but it also stimulated creative responses to these challenges.     

Framework for assessing impacts of pile-driving noise from offshore wind farm construction on a harbour seal population

Offshore wind farm developments may impact protected marine mammal populations, requiring appropriate assessment under the EU Habitats Directive. We describe a framework developed to assess population level impacts of disturbance from piling noise on a protected harbour seal population in the vicinity of proposed wind farm developments in NE Scotland. Spatial patterns of seal distribution and received noise levels are integrated with available data on the potential impacts of noise to predict how many individuals are displaced or experience auditory injury. Expert judgement is used to link these impacts to changes in vital rates and applied to population models that compare population changes under baseline and construction scenarios over a 25 year period. We use published data and hypothetical piling scenarios to illustrate how the assessment framework has been used to support environmental assessments, explore the sensitivity of the framework to key assumptions, and discuss its potential application to other populations of marine mammals.     

Review of sustainability indices and indicators: Towards a new City Sustainability Index (CSI)

The purpose of this paper is to discuss conceptual requirements for a City Sustainability Index (CSI) and to review existing major sustainability indices/indicators in terms of the requirements. The following indices are reviewed: Ecological Footprint (EF), Environmental Sustainability Index (ESI), Dashboard of Sustainability (DS), Welfare Index, Genuine Progress Indicator (GPI), Index of Sustainable Economic Welfare, City Development Index, emergy/exergy, Human Development Index (HDI), Environmental Vulnerability Index (EVI), Environmental Policy Index (EPI), Living Planet Index (LPI), Environmentally-adjusted Domestic Product (EDP), Genuine Saving (GS), and some applications of composite indices or/and multivariate indicators to local or regional context as case studies. The key conceptual requirements for an adequate CSI are: (i) to consider environmental, economic and social aspects (the triple bottom line of sustainability) from the viewpoint of strong sustainability; (ii) to capture external impacts (leakage effects) of city on other areas beyond the city boundaries particularly in terms of environmental aspects; (iii) to create indices/indicators originally for the purpose of assessing city sustainability; and (iv) to be able to assess world cities in both developed and developing countries using common axes of evaluation. Based on the review, we conclude that it is necessary to create a new CSI that enables us to assess and compare cities' sustainability performance in order to understand the global impact of cities on the environment and human life as compared with their economic contribution. In the future, the CSI will be able to provide local authorities with guidance toward sustainable paths.     

A framework to assess food security in regional strategic environmental assessment

Today, food security is central to global social policy and sustainable development agendas; yet food security considerations have not yet widely penetrated environmental impact assessment (IA) practice. This paper investigates criteria and approaches to food security assessment that align with Regional Strategic Environment Assessment (RSEA); a form of IA commonly used to influence natural resource development programmes. The research is based on interviews with seven international food security experts about how food security assessment can be performed at a regional scale, responsive to the impacts of natural resource developments. Analysis of data reveals essential components, key considerations, and procedural requirements for food security assessment within RSEA processes. Based on the evidence, we conclude that food security assessment in RSEA cannot be approached in a piecemeal fashion. To be successful: it must include holistic and comprehensive consideration of all four food security dimensions; communities should be profiled in early stages of the assessment to characterize the regional food system and define its importance to food security; vulnerable populations should be prioritized in the assessment; and it is critical to incorporate meaningful and influential opportunities for public participation. Finally, the recommended approach to analyze food security in RSEA is ‘system analysis’ which includes examination of food system pathways. A conceptual and methodological framework to assess food security in RSEA is presented, intended as a guide for practitioners wishing to incorporate food security into RSEA and RSEA-like initiatives.     

Inclusion of Noise in Environmental Assessment of Road Transportation

In life cycle assessment (LCA) of road transportation systems, limited attention is given to noise as an impact category. This paper presents a method in order to include the environmental effects of noise in the LCA of road transportation. Life cycle inventory is developed based on the IMAGINE road vehicle noise emission model. Life cycle impact assessment is based on cause-effect chain including fate, exposure, effect, and damage analysis. The health effects of road traffic noise are evaluated in terms of acute myocardial infarction, annoyance, and sleep disturbance. The corresponding health damages are quantified using disability adjusted life years (DALY). A case study evaluating the health effects of road transportation noise for the nine municipalities of Istanbul using the proposed method is also presented. It was shown that transportation noise has significant adverse health effects and therefore should be accounted for in the LCA of road transportation along with other environmental interventions.     

Reliability-based maintenance optimization of corrosion preventive designs under a life cycle perspective

Sustainability is of paramount importance when facing the design of long lasting, maintenance demanding structures. In particular, a sustainable life cycle design for concrete structure exposed to aggressive environments may lead to significant economic savings, and to reduced environmental consequences. The present study evaluates 18 different design alternatives for an existing concrete bridge deck exposed to chlorides, analyzing the economic and environmental impacts associated with each design as a function of the maintenance interval chosen. Results are illustrated in the context of a reliability-based maintenance optimization on both life cycle costs and life cycle environmental impacts. Maintenance optimization results in significant reductions of life cycle impacts if compared to the damage resulting from performing the maintenance actions when the end of the service life of the structure is reached. The use of concrete with 10% silica fume has been shown to be the most effective prevention strategy against corrosion of reinforcement steel in economic terms, reducing the life cycle costs of the original deck design by 76%. From an environmental perspective, maintenance based on the hydrophobic treatment of the concrete deck surface results in the best performance, allowing for a reduction of the impacts associated with the original design by 82.8%.     

Integrating SDGs in environmental assessment: Unfolding SDG functions in emerging practices

Debates concerning the relation between Sustainable Development Goals (SDGs) and environmental assessment (EA) have long suggested their integration in some form. The purpose of this paper is to go beyond conceptual debates to explore practices of environmental impact assessment and strategic environmental assessment in terms of how they change in response to the Agenda 2030. A thorough web search for EA reports integrating SDGs resulted in 45 cases from five continents, which were then analyzed using a framework on levels of integration to examine and reflect on practice. The results show that in the majority of reports, SDGs are merely mentioned with no further function, that there is a trend towards focusing on positive impacts and that there is a high variation in how contributions to SDGs are assessed and displayed. The paper concludes by identifying key directions for further research, such as ways to further understand practices and to close the gap between theoretical considerations and EA practice.     

Multi-criteria decision analysis with probabilistic risk assessment for the management of contaminated ground water

Traditionally, environmental decision analysis in subsurface contamination scenarios is performed using cost–benefit analysis. In this paper, we discuss some of the limitations associated with cost–benefit analysis, especially its definition of risk, its definition of cost of risk, and its poor ability to communicate risk-related information. This paper presents an integrated approach for management of contaminated ground water resources using health risk assessment and economic analysis through a multi-criteria decision analysis framework. The methodology introduces several important concepts and definitions in decision analysis related to subsurface contamination. These are the trade-off between population risk and individual risk, the trade-off between the residual risk and the cost of risk reduction, and cost-effectiveness as a justification for remediation. The proposed decision analysis framework integrates probabilistic health risk assessment into a comprehensive, yet simple, cost-based multi-criteria decision analysis framework. The methodology focuses on developing decision criteria that provide insight into the common questions of the decision-maker that involve a number of remedial alternatives. The paper then explores three potential approaches for alternative ranking, a structured explicit decision analysis, a heuristic approach of importance of the order of criteria, and a fuzzy logic approach based on fuzzy dominance and similarity analysis. Using formal alternative ranking procedures, the methodology seeks to present a structured decision analysis framework that can be applied consistently across many different and complex remediation settings. A simple numerical example is presented to demonstrate the proposed methodology. The results showed the importance of using an integrated approach for decision-making considering both costs and risks. Future work should focus on the application of the methodology to a variety of complex field conditions to better evaluate the proposed methodology.     

Residential Construction, Land Use and the Environment. Simulations for the Netherlands Using a GIS-Based Land Use Model

The present generation of geographical information systems supports strategic planning processes in several ways. They are able to store, manage and analyse the enormous amount of data needed. Another more output-oriented use is the visualisation of the diversity of locational preferences and perspectives of different interest groups and stakeholders. For the simulation of (more indirect) effects of autonomous or planned developments land use modelling can be applied. A step further is the definition and implementation of a set of indicators that show the impact of land use change on different aspects of space and the environment in order to facilitate the (political) discussions, that are an essential part of strategic planning.This paper focuses on the application of a GIS-based simulation model in the framework of the Fifth National Physical Planning Report in the Netherlands. The simulation model generates future land use in the Netherlands given several growth scenarios and a spatial strategy that comprises both foreseen strategic and autonomous developments. Special attention is paid to residential construction because this is expected to be one of the major driving forces in land use changes. An analysis of residential construction for the period 1980–1995 reveals that residential construction has been relatively concentrated in areas close to existing urban areas. New town policies also played a rather strong role during this period. The presence of natural areas (woods and wetlands) plays a significant though limited role in the choice where to build new dwellings. The simulation results for the year 2020 are used to assess the effects of land use changes for a range of environmental indicators.     

A quantitative method to analyze the quality of EIA information in wind energy development and avian/bat assessments

The environmental impact assessment (EIA) has been a tool for decision makers since the enactment of the National Environmental Policy Act (NEPA). Since that time, few analyses have been performed to verify the quality of information and content within EIAs. High quality information within assessments is vital in order for decision makers, stake holders, and the public to understand the potential impact of proposed actions on the ecosystem and wildlife species. Low quality information has been a major cause for litigation and economic loss. Since 1999, wind energy development has seen an exponential growth with unknown levels of impact on wildlife species, in particular bird and bat species. The purpose of this article is to: (1) develop, validate, and apply a quantitative index to review avian/bat assessment quality for wind energy EIAs; and (2) assess the trends and status of avian/bat assessment quality in a sample of wind energy EIAs.This research presents the development and testing of the Avian and Bat Assessment Quality Index (ABAQI), a new approach to quantify information quality of ecological assessments within wind energy development EIAs in relation to avian and bat species based on review areas and factors derived from 23 state wind/wildlife siting guidance documents. The ABAQI was tested through a review of 49 publicly available EIA documents and validated by identifying high variation in avian and bat assessments quality for wind energy developments. Of all the reviewed EIAs, 66% failed to provide high levels of preconstruction avian and bat survey information, compared to recommended factors from state guidelines. This suggests the need for greater consistency from recommended guidelines by state, and mandatory compliance by EIA preparers to avoid possible habitat and species loss, wind energy development shut down, and future lawsuits.     

Role of and challenges to environmental impact assessment proponents in Pakistan

This study identified the role of and challenges faced by Environmental Impact Assessment (EIA) proponents in Punjab, Pakistan. Expected roles of proponents in EIA were taken from regulations, legislation and guidelines. The comments of consultants, Environmental Protection Agency (EPA) and non-governmental organisations (NGOs) regarding the role played by proponents were extracted from literature and used for evaluation. To identify the challenges of proponents in each step of the EIA, 40 semi-structured interviews were conducted with private and government proponents in Punjab. Oftentimes, projects start prior to obtaining an environmental approval. Proper scoping is seldom conducted. Stakeholder involvement in EIA is limited. Proponents sometimes do not share complete project information with consultants, which compromises the report quality and timely decision making. Moreover, some proponents attempt to influence the review and decision making and do not ensure compliance to approval conditions except for few multinationals. The key challenge highlighted by proponents was the discrimination on part of the EPA between private and government projects. Other challenges included lack of professionalism of some consultants and delayed and non-transparent decision making. Although regional in scope, the results of the study hold importance for EIA systems worldwide particularly in countries with similar economic systems who are facing a trade-off between economic growth and environmental sustainability.     

Framing effectiveness in impact assessment: Discourse accommodation in controversial infrastructure development

There is ongoing debate about the effectiveness of impact assessment tools, which matters both because of the threat to future practice of the tools which are frequently perceived to be ineffective, and because of the disillusionment that can ensue, and controversy generated, amongst stakeholders in a decision context where opportunities for meaningful debate have not been provided. In this article we regard debate about the meaning of effectiveness in impact assessment as an inevitable consequence of increased participation in environmental decision-making, and therefore frame effectiveness based on an inclusive democracy role to mean the extent to which impact assessment can accommodate civil society discourse. Our aim is to investigate effectiveness based on this framing by looking at one type of impact assessment – environmental impact assessment (EIA) – in two controversial project proposals: the HS2 rail network in England; and the A4DS motorway in the Netherlands. Documentary analysis and interviews held with key civil society stakeholders have been deployed to identify discourses that were mobilised in the cases. EIA was found to be able to accommodate only one out of four discourses that were identified; for the other three it did not provide the space for the arguments that characterised opposition. The conclusion in relation to debate on framings of effectiveness is that EIA will not be considered effective by the majority of stakeholders. EIA was established to support decision-making through a better understanding of impacts, so its ineffectiveness is unsurprising when its role is perceived to be broader. However, there remains a need to map discourses in different decision contexts and to analyse the extent to which the range of discourses are accommodated throughout the decision process, and the role of impact assessment in those processes, before recommendations can be made to either improve impact assessment effectiveness, or whether it is simply perceptions of effectiveness that need to be improved.     

Development of a landfill model to prioritize design and operating objectives

The application of scientifically based decision making tools to help address solid waste management issues dates back to the early 1960s. Researchers continue to use operations research tools to help optimize landfill design and operating parameters. This paper discusses the application of another type of decision making tool, the analytical hierarchy process (AHP), to address priority ranking for a number of landfill engineering design and operating objectives in developing and developed countries. In this application, the AHP is used to rank, and prioritize, economic, environmental, health and safety, legislative and public perception objectives for landfill design and operations specific to landfill distance from a community, and precipitation levels. Results from a global survey using the Delphi process are included, with a discussion on the survey’s impact on the objective rankings relative to community proximity and precipitation. The Delphi process worked extremely well, and was an excellent tool to use in this application. The initial results from the objective rankings show promise in the development of an integrated model for landfill design and operation.