The U.S. Environmental Protection Agency's Generic Ecological Assessment Endpoints

The U.S. Environmental Protection Agency determined that one of the major impediments to the advancement and application of ecological risk assessment is doubt concerning appropriate assessment endpoints. The Agency's Risk Assessment Forum determined that the best solution to this problem was to define a set of generic ecological assessment endpoints (GEAEs). They are assessment endpoints that are applicable to a wide range of ecological risk assessments; because they reflect the programmatic goals of the Agency, they are applicable to a wide array of environmental issues, and they may be estimated using existing assessment tools. They are not specifically defined for individual cases; some ad hoc elaboration by users is expected. The GEAEs are not exhaustive or mandatory. Although most of the Agency's ecological decisions have been based on organism-level effects, GEAEs are also defined for populations, ecosystems, and special places.     

Human Health Risk Assessment: Required Reading

Over the past 30 years, risk assessment has developed into a scientific discipline. It is critical that the next generation of risk assessors understand the history of our field, and recognize the numerous successes and failures that have taken place. This short Perspective identifies and describes specific books, monographs, and reports that are required reading for any nascent risk assessor.     

Adequacy Conditions for Reporting Uncertainty in Chemical Risk Assessments

Uncertainty may influence decision-making. A prerequisite for a decision to be well founded is thus that scientific experts inform decision-makers about all decision relevant uncertainty. A set of conditions is provided for adequate characterization of scientific uncertainty for the purposes of regulatory decision-making. These conditions require specification of (1) the character and degree of uncertainty about the assessment variables, (2) the possibility of reducing the uncertainty, and (3) the degree of agreement among experts. Furthermore, it is required that (4) the information covered by the previous conditions is presented in a clear and comprehensible way. The point of departure is that characterizing scientific uncertainty conceptually means specifying all potentially important possibilities that are consistent with the state of scientific knowledge. The conditions are intended to be applied to human health risk assessment of chemicals. However, the basic approach, to consider potentially important possibilities, should be useful also to environmental, and site-specific risk assessment.     

The Apache Longbow–Hellfire Missile Test at Yuma Proving Ground: Introduction and Problem Formulation for a Multiple Stressor Risk Assessment

An ecological risk assessment was conducted at Yuma Proving Ground, Arizona, as a demonstration of the Military Ecological Risk Assessment Framework (MERAF). The focus of the assessment was a testing program at the Cibola Range, which involved an Apache Longbow helicopter firing Hellfire missiles at moving targets, that is, M60-A1 tanks. The problem formulation for the assessment included conceptual models for three component activities of the test, helicopter overflight, missile firing, and tracked vehicle movement, and two ecological endpoint entities, woody desert wash communities and desert mule deer (Odocoileus hemionus crooki) populations. An activity-specific risk assessment framework was available to provide guidance for assessing risks associated with aircraft overflights. Key environmental features of the assessment area include barren desert pavement and tree-lined desert washes. The primary stressors associated with helicopter overflights were sound and the view of the aircraft. The primary stressor associated with Hellfire missile firing was sound. The principal stressor associated with tracked vehicle movement was soil disturbance, and a resulting, secondary stressor was hydrological change. Water loss to desert washes and wash vegetation was expected to result from increased ponding, infiltration, and/or evaporation associated with disturbances to desert pavement. A plan for estimating integrated risks from the three military activities was included in the problem formulation.     

THE VALIDITY OF THE FATIGUE AND RISK INDEX FOR PREDICTING IMPAIRMENTS OF HEALTH AND SAFETY UNDER DIFFERENT SHIFT SCHEDULES IN THE CONTEXT OF RISK ASSESSMENTS

In Germany, risk assessment of the working time arrangement is legally required, and within this context the authors assessed the usefulness of the fatigue and risk index (FRI) to predict any detrimental effects to health and safety. This assessment was made using data from two different surveys. Each contained records of working hours over a 4-wk period plus information on occupational accidents and health complaints. The independent variables drawn from the FRI parameters included the maxima, means, variances, and index factor scores. Phi-correlations between the FRI (dichotomized to the index of the reference system) and the incidence of an occupational accident were rather moderate, with a maximum correlation of .22 using the mean fatigue index (FI). Correlations between the two index factor scores and health complaints (sleep problems, stomach pain, eructation/heartburn) revealed the FI component, but not the risk index (RI) component, was related to those health complaints. Forward stepwise logistic regression analysis indicated the FI (but not the RI) predicted occupational accidents (FI_factor odds ratio [OR]?=?1.90, confidence interval [CI] 1.23–2.93). When using multiple regression analyses, the FI was able to predict sleep problems and other circadian related-problems, but the regression coefficients were moderate. In general, the results were not considered sufficient to justify a mandatory use of the FRI. (Author correspondence: jana.greubel@gawo-ev.de)     

火溪河底栖动物现状及水质评价

１９９６年８月,１１月各一次调查火溪河的底栖动物。共采集到到底栖动物３９种,其数量为８７．３ｉｎｄ／ｍ＾２,优势种类为方巢石蚕、四节蜉、小蜉、光石蝇和溪在非议 五种。火溪河底栖运行具有明显的山地型、流水型特点、时空分布一致。应用ＢＭＷＰ记分,ＢＢＩ／ＦＢＩ生物指数和Ｓｙａｎｎｏｎ多样性指数对脂河水质进行评价,表明水质清洁。作者建议以方巢石蚕７０．０ｉｎｄ／ｍ＾２作为火溪河水质清洁与轻污的一个界定值     

藻类的接触致毒——恢复培养及其对化学物质的安全评价

应用接触致毒-恢复培养法,试验共有五个浓度组,即0.10,0.13,0.18,0.24和0.316mg/LCu~(2 ),和对照组。以比增长率作指标,实验结果经回归分析:确定Cu~(2 )对月牙藻逐步加深的三种致毒效应,半数效应浓度、完全抑藻浓度和完全杀藻浓度分别为0.204、0.297和0.316mg/LCu~(2 )。由恢复培养可知在杀藻效应浓度以上,藻类细胞受到不可逆转损害。恢复培养试验结果能客观地反映了毒物对藻类的毒理效应。     

沈阳某冶炼厂废弃厂区的人类健康风险评价

以沈阳某冶炼厂废弃厂区重金属污染监测为依据,采用美国环保局最新的人类健康风险评价标准方法对沈阳某冶炼厂废弃地块污染土壤进行了评价,并且假设未来该土地利用类型为工业用地(Ⅰ)或休闲用地(Ⅱ).评价结果显示:工业用地(Ⅰ)和休闲用地(Ⅱ)的累积非致癌风险指数分别为2.65×10-2和3.67×10-2;工业用地(Ⅰ)和休闲用地(Ⅱ)由呼吸摄入Cd造成的潜在致癌风险指数分别为4.48×10-9和7.30×10-10,不会对在该地区工作和休闲的人们造成身体健康上的伤害;无论是工业用地假设还是休闲用地假设,由无机铜造成的人类健康风险在整个风险中所占的比例最大;由美国环保局的人类健康风险评价方法反推得出的冶炼厂地块未来为工业用地的土壤修复目标值均小于我国工业企业土壤环境质量风险评价基准值.     

Bioaccessibility and other key parameters in assessing oral exposure to PAH-contaminated soils and dust: A critical review

Soil ingestion is an important pathway for human exposure to polycyclic aromatic hydrocarbon (PAH)-contaminated soils and dust for children (via ingesting hand residue) as well as for adults (via occupational exposure). An appropriate selection of exposure parameter values is essential for having an accurate risk assessment. This review addresses key parameters for estimating oral exposure to PAH-contaminated soils/dust, discusses their variability and uncertainty, and provides recommendations for value selection. Bioaccessibility (contaminant fraction solubilized in gastro-intestinal tract, available for entering bloodstream and reaching target organs) and soil ingestion rate are two key parameters for exposure assessment (usually characterized by large variability and/or uncertainty), followed by exposure frequency/duration and body weight.     

The Concept of Data Utility in Health Risk Assessment: A Multi-Disciplinary Perspective

Human and ecological health risk assessments and the decisions that stem from them require the acquisition and analysis of data. In agencies that are responsible for health risk decision-making, data (and/or opinions/judgments) are obtained from sources such as scientific literature, analytical and process measurements, expert elicitation, inspection findings, and public and private research institutions. Although the particulars of conducting health risk assessments of given disciplines may be dramatically different, a common concern is the subjective nature of judging data utility. Often risk assessors are limited to available data that may not be completely appropriate to address the question being asked. Data utility refers to the ability of available data to support a risk-based decision for a particular risk assessment. This article familiarizes the audience with the concept of data utility and is intended to raise the awareness of data collectors (e.g., researchers), risk assessors, and risk managers to data utility issues in health risk assessments so data collection and use will be improved. In order to emphasize the cross-cutting nature of data utility, the discussion has not been organized into a classical partitioning of risk assessment concerns as being either human health- or ecological health-oriented, as per the U.S. Environmental Protection Agency's Superfund Program.     

Impact Assessment of an Independent Agency for Animal Health in England

The applicability of a stochastic model was explored to assess the impact of a new independent agency for animal health in England in terms of the cost of animal disease outbreaks. The new agency was proposed to take responsibility for animal disease management in England. The stochastic model estimates the likelihood that the proposed new agency would face animal disease outbreaks of major and minor magnitude; and how many outbreaks of each magnitude, within its first 30 years of operation. Large variability in the potential total cost of the new agency was attributable to the possibility of an outbreak of an unknown major disease, although Bluetongue, Foot and Mouth Disease, and Avian Influenza were also influential. The results show that if the new agency reduces disease costs by even 0.5%, this could benefit society by an estimated £21 million per year. The stochastic approach offers a method for dealing with uncertainties in any continuing deliberations regarding the proposed new agency, resulting in a potential annual gain of £73 million ranging to an annual loss of £144 million.