Health,safety and environmental unit performance assessment model under uncertainty (case study: steel industry)

Performance assessment is a critical objective of management systems. As a result of the non-deterministic and qualitative nature of performance indicators, assessments are likely to be influenced by evaluators’ personal judgments. Furthermore, in developing countries, performance assessments by the Health, Safety and Environment (HSE) department are based solely on the number of accidents. A questionnaire is used to conduct the study in one of the largest steel production companies in Iran. With respect to health, safety, and environment, the results revealed that control of disease, fire hazards, and air pollution are of paramount importance, with coefficients of 0.057, 0.062, and 0.054, respectively. Furthermore, health and environment indicators were found to be the most common causes of poor performance. Finally, it was shown that HSE management systems can affect the majority of performance safety indicators in the short run, whereas health and environment indicators require longer periods of time. The objective of this study is to present an HSE-MS unit performance assessment model in steel industries. Moreover, we seek to answer the following question: what are the factors that affect HSE unit system in the steel industry? Also, for each factor, the extent of impact on the performance of the HSE management system in the organization is determined.     

江苏省环境监测站标准化建设成效评价

江苏省在2013年底通过了国家环境监测站标准化建设整体验收,成为全国第一个整体达到国家建设标准的省份。在总结江苏省主要建设经验的基础上,为定量评估江苏省各级环境监测站标准化建设成效水平,以《国家环境监测站标准化验收评分办法》评价指标为基础,尝试构建环境监测站建设成效评价指标体系,并应用层次分析法确定指标及其权重,共设1项一级指标、5项二级指标和12项三级指标。通过专家综合决策打分,确定各项评价指标的权重值,赋值计算综合成效评价指数。结果表明,全省实验室条件、仪器设备、监测数据、论文发表、能力认证等方面发展迅速,但人员扩编有待进一步加强。该方法为政府部门考核财政资金投入绩效、优化管理决策提供了定量评价参考。     

Strategic environmental assessment performance factors and their interaction: An empirical study in China

Strategic Environmental Assessment (SEA) has been seen as a preventive and participatory environmental management tool designed to integrate environmental protection into the decision-making process. However, the debate about SEA performance and effectiveness has increased in recent decades. Two main challenges exist in relation to this issue. The first is identifying the key influencing factors that affect SEA effectiveness, and the second is analyzing the relationship between SEA and these influencing factors. In this study, influencing factors were investigated through questionnaire surveys in the Chinese context, and then a Structural Equation Model (SEM) was developed and tested to identify potential links and causal relationships among factors. The associations between the independent factors were divided into direct and indirect causal associations. The results indicate that the decision-making process and policy context directly affect SEA implementation, while information and data sharing, public participation, expertise and SEA institutions are indirectly related with SEA. The results also suggest that a lack of cooperation between different sectors is an obstacle to the implementation of SEA. These findings could potentially contribute to the future management and implementation of SEA or enhance existing knowledge of SEA. The results show that the proposed model has a degree of feasibility and applicability.     

Development of a model to assess environmental performance, concerning HSE-MS principles

The main objective of the present study was to develop a valid and appropriate model to evaluate companies’ efficiency and environmental performance, concerning health, safety, and environmental management system principles. The proposed model overcomes the shortcomings of the previous models developed in this area. This model has been designed on the basis of a mathematical method known as Data Envelopment Analysis (DEA). In order to differentiate high-performing companies from weak ones, one of DEA nonradial models named as enhanced Russell graph efficiency measure has been applied. Since some of the environmental performance indicators cannot be controlled by companies’ managers, it was necessary to develop the model in a way that it could be applied when discretionary and/or nondiscretionary factors were involved. The model, then, has been modified on a real case that comprised 12 oil and gas general contractors. The results showed the relative efficiency, inefficiency sources, and the rank of contractors.     

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.     

滇池流域水环境综合管理技术支撑平台构建研究

滇池流域水环境综合管理技术支撑平台以实现水环境数据信息化、支撑多元化、管理智能化为目标,集成水环境多元数据采集传输、融合共享及动态表征技术,突破高原湖泊流域多目标复杂环境综合管理决策控制技术,构建"数据中心-业务系统-信息发布"为主线的综合管理平台,其以水环境数据中心为支撑,以水环境信息系统与水环境专家决策支持系统为核心,以水环境信息发布系统为共享交换媒介,为流域管理提供监控预警、总量控制、预测预报、项目评估及应急决策等技术服务,有效支撑滇池流域水环境监控预警和综合管理。     

Transitions-based strategic environmental assessment

Strategic environmental assessment (SEA) is emerging as an important tool for sustainability transitions, yet there has been limited research conceptualizing transitions-based SEA. If SEA's primary goal is to facilitate strategic change and guide decision-processes toward sustainability, an assessment framework that accounts for the multi-dimensional factors and relationships influencing transition processes seems highly relevant. This paper advances the transitions-based SEA design – an approach to SEA that is focused on the institutional environment and policy context for the development of strategic initiatives including institutional commitments, supporting policies, and opportunities. We do so within the context of energy transitions, bridging strategic planning theories, decision making, and transition management. Building on existing SEA frameworks that advance strategic thinking, the paper presents the foundational principles and strategic questions to be asked in a transitions-based SEA design. The framework was developed based on a review of sustainability transitions and SEA literature supplemented by expert input. The SEA design focuses on the guiding vision for transitions, the institutional context and governance arrangements, opportunities and risks of proposed sustainability pathways, progress indicators for on-going transition management, and impacts of the exogenous landscape. The framework defines a new functionality for SEA, pushing the boundaries of what SEA can achieve, and should accomplish, as a strategic assessment tool while also challenging conventional thinking and practice beyond its application to policies, plans and programs.     

Review of PSR framework and development of a DPSIR model to assess greenhouse effect in Taiwan

In dealing with the complex issues of greenhouse gas (GHG) emission and climate change mitigation, many interrelated factors such as cost, level of technology development, supply and demand of energy, structure of industry, and expenditures on research and development exist. Using indicators to monitor environmental impacts and evaluate the efficacies of policies and regulations has been practiced for a long time, and it can serve as a useful tool for decision making and for comparison between different countries. Although numerous indicators have been developed for relevant subjects, integrated approaches that consider individual changes, dynamic interaction, and multi-dimensions of indicators are scarce. This paper aimed to develop a Driving Force-Pressure-State-Impact-Response (DPSIR) framework to assess the problems. This DPSIR model is mainly related to energy consumption, environmental impacts, and policy responses. The objectives of the paper were: (1) conduct a literature review on the indicators that have been used in GHG-related studies; (2) develop a DPSIR model that incorporates GHG-related indicators and evaluate their relationships using a cause?Ceffect chain of GHG emission; and (3) develop a calculative method that can be used to explain the dynamic correlation among the interdependent indicators. Taiwan is a significant source of global GHG emissions. A case study, using the developed framework and Taiwan??s actual data of the past two decades, was conducted. The results indicate that regulatory strategies for pollution control are inadequate in terms of ensuring environmental quality, and the nature does not have the capability to revert the impacts from the existing level of pollution.     

Life cycle assessment based environmental impact estimation model for pre-stressed concrete beam bridge in the early design phase

The late rise in global concern for environmental issues such as global warming and air pollution is accentuating the need for environmental assessments in the construction industry. Promptly evaluating the environmental loads of the various design alternatives during the early stages of a construction project and adopting the most environmentally sustainable candidate is therefore of large importance. Yet, research on the early evaluation of a construction project's environmental load in order to aid the decision making process is hitherto lacking. In light of this dilemma, this study proposes a model for estimating the environmental load by employing only the most basic information accessible during the early design phases of a project for the pre-stressed concrete (PSC) beam bridge, the most common bridge structure. Firstly, a life cycle assessment (LCA) was conducted on the data from 99 bridges by integrating the bills of quantities (BOQ) with a life cycle inventory (LCI) database. The processed data was then utilized to construct a case based reasoning (CBR) model for estimating the environmental load. The accuracy of the estimation model was then validated using five test cases; the model's mean absolute error rates (MAER) for the total environmental load was calculated as 7.09%. Such test results were shown to be superior compared to those obtained from a multiple-regression based model and a slab area base-unit analysis model. Henceforth application of this model during the early stages of a project is expected to highly complement environmentally friendly designs and construction by facilitating the swift evaluation of the environmental load from multiple standpoints.     

A performance evaluation of strategic environmental assessment (SEA) processes within the South African context

SEA has been described as being more about process than about product. Yet very little research has been conducted to gain a better understanding of how SEA processes perform within developing country contexts. To address this gap in knowledge the research underlying this paper aimed to evaluate the quality of SEA processes within the South African context against specifically designed key performance indicators. Comparison of the different data patterns revealed general SEA process features as well as three broad models, namely the ‘stand alone’, ‘central to decision making’ and ‘integrated’ models. The research results suggest a particularly poor performance in terms of process quality for the SEA case studies investigated. Moreover, it shows that there is no one understanding of SEA process within the South African context. The main limitations related to a weak understanding of the decision making processes SEA aimed to inform, as well as an inability to incorporate flexibility into process design. To take the debate forward it is proposed that SEA follow-up and effectiveness research be explored to determine which of these models (if any) ultimately contributed to influencing decision making and promote sustainability.     

A systems approach to modeling Community-Based Environmental Monitoring: a case of participatory water quality monitoring in rural Mexico

Community-Based Environmental Monitoring (CBM) is a social practice that makes a valuable contribution to environmental management and construction of active societies for sustainable future. However, its documentation and analysis show deficiencies that hinder contrast and comparison of processes and effects. Based on systems approach, this article presents a model of CBM to orient assessment of programs, with heuristic or practical goals. In a focal level, the model comprises three components, the social subject, the object of monitoring, and the means of action, and five processes, data management, social learning, assimilation/decision making, direct action, and linking. Emergent properties were also identified in the focal and suprafocal levels considering community self-organization, response capacity, and autonomy for environmental management. The model was applied to the assessment of a CBM program of water quality implemented in rural areas in Mexico. Attributes and variables (indicators) for components, processes, and emergent properties were selected to measure changes that emerged since the program implementation. The assessment of the first 3 years (2010–2012) detected changes that indicated movement towards the expected results, but it revealed also the need to adjust the intervention strategy and procedures. Components and processes of the model reflected relevant aspects of the CBM in real world. The component called means of action as a key element to transit “from the data to the action.” The CBM model offered a conceptual framework with advantages to understand CBM as a socioecological event and to strengthen its implementation under different conditions and contexts.     

Review of present European environmental policies and legislation involving cultural heritage

Cultural heritage is being addressed by a number of charters and conventions and it is clear that its consideration within decision-making processes is progressively becoming a real challenge, both for developers and public authorities. Against this background, this paper reviews the environmental assessment framework developed by the European Community, as this should increasingly influence decision making about cultural heritage in an urban setting. The legislative framework for access to environmental information is also reviewed because of its relevance to the decision-making process.The Directives on Environmental Impact Assessment and Strategic Environmental Assessment both require a consideration of cultural heritage in decision making. This requirement can go some way to addressing the paradox in the European Community's position whereby the community wishes to conserve and enhance its own cultural identity whilst, at the same time, cultural heritage is usually defined at a local level. The present paper suggests that, given their flexibility, the two European Community directives on environmental assessment constitute a promising opportunity to address this seeming paradox, but that there is a significant gap between legal obligations and the methodological tools to meet them.     

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.     

Towards a green and fast production system: Integrating life cycle assessment and value stream mapping for decision making

Integrating environmental commitment to manufacturing concerns seems unavoidable towards a more sustainable conduct. In the contemporary scenario, Value Stream Mapping (VSM) has been bringing new perspectives into companies' economics, improving production performance, whereas Life Cycle Assessment (LCA) has been the most complete tool for environmental assessment. Therefore, the present study aims to propose a model based on the integration of LCA and VSM to improve environmental and manufacturing aspects of organizations, the LCA-VSM model. Possible spots for integration, overlaps between LCA and VSM and potential gains were identified. The LCA-VSM model provides a simple tool for prioritizing action measures to improve the environmental-economic performance, and unlike many existing methods, it encourages continuous improvement instead of a one-off approach. The company where a case study was conducted to test the LCA-VSM model is a manufacturer of tools and painting materials for the civil construction sector. The use of the proposed model guided actions that decreased from 5% to 15% of environmental impacts (across nine impact categories), and reduced both non-value adding (lead time went from 103.26 to 24.01 days) and value adding (cycle time went from 35.7 s to 33.75 s) time. The main contribution of this paper is providing a structured approach to a practical integration of LCA and VSM towards decision making, prioritizing action measures based on the following criteria: environmental preference, economic feasibility, and ease of implementation, aiding more eco-efficient practices.     

Modeling contractors' ecological protection efforts determination for expressway construction projects

The negative impacts of expressway construction projects (ECPs) on ecosystems have raised serious concerns globally. While ECP contractors are selective in implementing sustainable construction, they have rarely been informed of making reasonable efforts to address the concerns. This study aims to map out a quantitative analysis approach to aid contractors in determining ecological protection efforts. Four latent variables are included: project features, project perceptions, ecological impact evaluation, and ecological protection decision-making. It is revealed that project perceptions serve as a foundation for effort determination. The determination is built on the relationship between ecological impacts and the intensity of construction activities. Furthermore, the main effort decision is resource consumption. This study addresses decision-making issues pertained to the uptake of sustainability principles in the ECP sector and contributes a three-step framework for anticipating ecological protection efforts in the area of environmental studies.     

对环境质量综合分析工作的思考与建议

概述了环境质量综合分析对环境管理与综合决策的重要性,分析了环境质量综合分析工作现状与存在问题,阐述了新时期对综合分析工作的新要求,从创新理念、主动服务、收集信息、强化手段、健全机制、人才培养等方面提出做好环境质量综合分析,服务环境管理与决策的建议。     

Assessing health impacts in complex eco-epidemiological settings in the humid tropics: Modular baseline health surveys

The quantitative assessment of health impacts has been identified as a crucial feature for realising the full potential of health impact assessment (HIA). In settings where demographic and health data are notoriously scarce, but there is a broad range of ascertainable ecological, environmental, epidemiological and socioeconomic information, a diverse toolkit of data collection strategies becomes relevant for the mainly small-area impacts of interest. We present a modular, cross-sectional baseline health survey study design, which has been developed for HIA of industrial development projects in the humid tropics. The modular nature of our toolkit allows our methodology to be readily adapted to the prevailing eco-epidemiological characteristics of a given project setting. Central to our design is a broad set of key performance indicators, covering a multiplicity of health outcomes and determinants at different levels and scales. We present experience and key findings from our modular baseline health survey methodology employed in 14 selected sentinel sites within an iron ore mining project in the Republic of Guinea. We argue that our methodology is a generic example of rapid evidence assembly in difficult-to-reach localities, where improvement of the predictive validity of the assessment and establishment of a benchmark for longitudinal monitoring of project impacts and mitigation efforts is needed.     

Post-project analysis: The use of a network diagram for environmental evaluation of the Barekese Dam, Kumasi, Ghana

The paper presents an evaluation of post-project impacts of the Barekese Dam on three riparian communities downstream about 30 years after its construction. A network diagram, which incorporated a mathematical model, was used for impact identification and analysis. The expected environmental impacts, expressed as quantitative weighted impact scores, showed that the dam appeared to have exerted adverse impacts on the environmental quality of the communities. The impacts in the communities, however, increased with relative distances away from the dam and the river suggestive of cumulative impacts transmitted downstream. Strategic measures for improving environmental quality of the communities have been given.     

A critique of the performance of EIA within the offshore oil and gas sector

The oil and gas sector is a key driver of the offshore economy. Yet, it is also associated with a number of unwanted environmental impacts which potentially threaten the long term economic and environmental viability of marine ecosystems. Environmental Impact Assessment (EIA) can potentially make a significant contribution to the identification and management of adverse impacts through the promotion of evidence based decision making. However, the extent to which EIA has been embraced by key stakeholders is poorly understood. On this basis, this paper provides an initial evaluation of EIA performance within the oil and gas sector. The methodology adopted for the paper consisted of the structured review of 35 Environmental Statements (ESs) along with interviews with regulators, operators, consultants and advisory bodies. The findings reveal a mixed picture of EIA performance with a significant number of ESs falling short of satisfactory quality and a tendency for the process to be driven by compliance rather than best practice.     

A Rapid Method for Assessing the Environmental Performance of Commercial Farms in the Pampas of Argentina

The generation of reliable updated information is critical to support the harmonization of socio-economic and environmental issues in a context of sustainable development. The agro-environmental assessment and management of agricultural systems often relies on indicators that are necessary to make sound decisions. This work aims to provide an approach to (a) assess the environmental performance of commercial farms in the Pampas of Argentina, and (b) propose a methodological framework to calculate environmental indicators that can rapidly be applied to practical farming. 120 commercial farms scattered across the Pampas were analyzed in this study during 2002 and 2003. Eleven basic indicators were identified and calculation methods described. Such indicators were fossil energy (FE) use, FE use efficiency, nitrogen (N) balance, phosphorus (P) balance, N contamination risk, P contamination risk, pesticide contamination risk, soil erosion risk, habitat intervention, changes in soil carbon stock, and balance of greenhouse gases. A model named Agro-Eco-Index was developed on a Microsoft-Excel support to incorporate on-farm collected data and facilitate the calculation of indicators by users. Different procedures were applied to validate the model and present the results to the users. Regression models (based on linear and non-linear models) were used to validate the comparative performance of the study farms across the Pampas. An environmental dashboard was provided to represent in a graphical way the behavior of farms. The method provides a tool to discriminate environmentally friendly farms from those that do not pay enough attention to environmental issues. Our procedure might be useful for implementing an ecological certification system to reward a good environmental behavior in society (e.g., through tax benefits) and generate a commercial advantage (e.g., through the allocation of green labels) for committed farmers.