鉴于风险分布密集型港区的风险评价研究——以南京市龙潭港区为例

从码头主体风险和风险控制机制2个准则出发,构建了码头源风险评价指标体系和风险评价方法,提出,采用风险分布密集指数和码头源数量指数,反映港区内码头风险分布密集程度和码头数量对港区风险的影响程度。以码头风险评价方法为基础,综合考虑港区码头源风险大小、风险分布密集指数、码头源数量指数,建立了考虑风险分布密集型的港区风险评价方法。应用该方法对南京市龙潭港区进行风险评价,结果表明,南京市龙潭港区风险等级为高风险,港区内高风险码头共7座,且主要集中分布于南京长江四桥附近约2 km岸线内。     

某铁路隧道作业场所职业危害风险控制效果评价

为了解铁路隧道作业场所职业病危害特征,评估其职业病危害风险控制效果,采用现场调查与职业病危害因素检测相结合的方法,对某铁路隧道作业场所职业病危害特征进行调查,采用职业病危害风险指数评估模型进行控制效果评估。结果表明,该铁路隧道作业场所职业危害因素主要包括生产过程中职业病危害、劳动过程中危害和生产环境中危害;主要职业病危害因素为电焊烟尘、矽尘、NO、NO2、CO、CO2、噪声、振动、高湿等;隧道内工务、电务、供电三大线路作业场所的线路维护人员接触的噪声均为轻中度危害,氮氧化物(NO、NO2)为轻度危害,接触的CO为中高度危害,线路维护人员矽尘作业岗位为轻中高度危害,易导致职业病损的发生。提出应重点监控该铁路隧道接触噪声、CO和矽尘的作业岗位,采取科学综合防控措施,改善作业环境质量,强化个人防护。     

生态环保类项目风险补偿机制实践

"环保贷"是由财政资金建立风险补偿资金池为生态环保类项目提供贷款增信和风险补偿,引导金融资本进入生态环保领域的一款绿色金融产品。本文总结了江苏省"环保贷"政策的运行方式、支持范围、实施成效,在此基础上,深入分析了"环保贷"业务进展中存在的产品方案有待完善、合作银行仍然偏少、宣传推广力度仍需加强等问题,并针对性提出了"完善产品方案,提高贷款期限""扩充合作银行,提高‘环保贷’规模""加强宣传工作,提升‘环保贷’知名度"等政策建议。     

呼和浩特市黄河蒲滩拐水源地水环境现状及防范措施研究

饮用水安全直接关系人民群众的身体健康和生命安全,加强饮用水安全管理是关乎民生的重要任务。本文简述了呼和浩特市黄河蒲滩拐水源地的风险源调查情况,并分别采用单因子污染指数法和内梅罗综合污染指数法对区域水环境质量现状进行评价,在此基础上提出了风险防范措施。     

Incorporating inherent safety during the conceptual process design stage: A literature review

This paper reviews principal concepts, tools, and metrics for risk management and Inherently Safer Design (ISD) during the conceptual stage of process design. Even though there has been a profusion of papers regarding ISD, the targeted audience has typically been safety engineers, not process engineers. Thus, the goal of this paper is to enable process engineers to use all the available design degrees of freedom to mitigate risk early enough in the design process. Mainly, this paper analyzes ISD and inherent safety assessment tools (ISATs) from the perspective of inclusion in conceptual process design. The paper also highlights the need to consider safety as a major component of process sustainability. In this paper, 73 ISATs were selected, and these tools were categorized into three groups: hazard-based inherent safety assessment tools (H-ISATs) for 22 tools, risk-based inherent safety assessment tools (R-ISATs) for 33 tools, and cost-optimal inherent safety assessment tools (CO-ISATs) for 18 tools. This paper also introduces an integrated framework for coordinating the conventional process design workflow with safety analysis at various levels of detail.     

Risk and opportunity in upgrading the US drinking water infrastructure system

This paper presents a practical risk assessment methodology to provide drinking water infrastructure (DWI) decision-makers with an objective risk assessment tool. The purpose of this risk assessment tool is to maintain the desired level-of-service or systems reliability [r(f)], while managing the financial uncertainty of the expected budgetary impact within the capital improvement program (CIP). The goal of this paper is to demonstrate the value of an objective risk assessment tool for estimating the DWI decision-maker's sensitivity to the risk of systems failure (R). The objectives are to: (1) incorporate probability of systems failure [p(f)] into the CIP budgetary analysis process and (2) evaluate the affects of p(f) on the expected CIP budgetary outcome. The magnitude of the expected budgetary impact is managed through the DWI decision-maker's sensitivity to R, which is represented by the level of the rate of reinvestment (RR). The expected result of the proposed risk assessment tool demonstrates that by proactively managing R to maintain a desired r(f) will effectively manage the impact of uncertainty on the expected budgetary outcome within the CIP. The expected contribution of the practical risk assessment methodology is to provide DWI decision-makers with the ability to reduce budgetary uncertainty when allocating limited financial resources among competing operational, repair, maintenance, and expansion activities within the CIP. The conclusions of the paper reveal that if DWI decision-makers assume risk-avoidance positions through proactive asset management (AM) strategies, they will achieve positive affects on expected budgetary outcomes.     

A Framework for Fully Integrating Environmental Assessment

A new framework for environmental assessment is needed because no existing framework explicitly includes all types of environmental assessments. We propose a framework that focuses on resolving environmental problems by integrating different types of assessments. Four general types of assessments are included: (1) condition assessments to detect chemical, physical, and biological impairments; (2) causal pathway assessments to determine causes and identify their sources; (3) predictive assessments to estimate environmental, economic, and societal risks, and benefits associated with different possible management actions; and (4) outcome assessments to evaluate the results of the decisions of an integrative assessment. The four types of assessments can be neatly arrayed in a two-by-two matrix based on the direction of analysis of causal relationships (rows) and whether the assessment identifies problems or solves them (columns). We suggest that all assessments have a common structure of planning, analysis, and synthesis, thus simplifying terminology and facilitating communication between types of assessments and environmental programs. The linkage between assessments is based on intermediate decisions that initiate another assessment or a final decision signaling the resolution of the problem. The framework is applied to three cases: management of a biologically impaired river, remediation of a contaminated site, and reregistration of a pesticide. We believe that this framework clarifies the relationships among the various types of assessment processes and their links to specific decisions.     

Evolution of road risk disparities at small-scale level: example of Belgium

PROBLEM: Road accident outcomes are traditionally analyzed at state or road network level due to a lack of aggregated data and suitable analytical methods. The aim of this paper is to demonstrate usefulness of a simple spatiotemporal modeling of road accident outcomes at small-scale geographical level. METHOD: Small-area spatiotemporal Bayesian models commonly used in epidemiological studies reveal the existence of spatial correlation in accident data and provide a mechanism to quantify its effect. The models were run for Belgium data for the period 2000-2005. Two different scale levels and two different exposure variables were considered under Bayesian hierarchical models of annual accident and fatal injury counts. The use of the conditional autoregressive (CAR) formulation of area specific relative risk and trend terms leads to more distinctive patterns of risk and its evolution. The Pearson correlation tests for relative risk rates and temporal trends allows researchers to determine the development of risk disparities in time. RESULTS: Analysis of spatial effects allowed the identification of clusters with similar risk outcomes pointing toward spatial structure in road accident outcomes and their background mechanisms. From the analysis of temporal trends, different developments in road accident and fatality rates in the three federated regions of Belgium came into light. Increasing spatial disparities in terms of fatal injury risk and decreasing spatial disparities in terms of accident risk with time were further identified. IMPACT ON INDUSTRY: The application of a space-time model to accident and fatal injury counts at a small-scale level in Belgium allowed identification of several areas with outstandingly high accident (injury) records. This could allow more efficient redistribution of resources and more efficient road safety management in Belgium.     

Television news' coverage of motor-vehicle crashes

Problem

Traffic crashes are a major cause of injury and death. Although it has been argued that a skewed estimation of personal risks may be partly attributable to news representations of mortality causes, the manners in which traffic crashes are covered in the news have not received much attention in the literature.

Method

The current study used content analysis to examine the framing of traffic crashes in television news.

Results

The data indicated that Flemish television news does not report traffic crashes from a public health perspective and consequently it misses opportunities to inform the public on the causes and consequences of risk-taking in traffic.

Impact on industry

It is important that professionals are aware of these findings and stress contextual factors surrounding traffic crashes in their communication with journalists. This may lead to more accurate reports and a more accurate risk perception of viewers.     

Influence of input uncertainty on prediction of within-field pesticide leaching risks

Previous research has suggested that pesticide losses at the field scale can be dominated by a small proportion of the field area. The objective of this study was to investigate whether site-specific applications (i.e. avoiding high-risk areas) at the field scale can contribute to a reduction of pesticide leaching despite uncertainty in the underlying model-based leaching risk map. Using a meta-model of the dual-permeability model MACRO, the annual average pesticide leaching concentrations were estimated for 162 sample sites on a 47 ha field. The procedure was repeated for different scenarios describing different patterns of spatial variation of degradation half-lives and the partition coefficient to soil organic carbon. To account for interpolation uncertainty, maps of predicted pesticide leaching risk were produced by the method of sequential Gaussian simulation. The results of the case study show that larger reductions of predicted leaching were achieved by site-specific application than by that of a comparable uniform dose reduction. Hence, site-specific-applications may be a feasible method to reduce pesticide leaching at the field-scale providing that the model approach gives reasonable estimates of the spatial pattern of pesticide leaching.