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In this text, experts provide a complete sourcebook on methods for addressing variability and uncertainty in exposure analysis.
The purpose of this document is to provide an introductory handbook for the Air Force remedial project manager (RPM) and other health professionals, such as the Bioenviroumental Engineer, to identify the appropriate use of probabilistic techniques for a site, and the methods by which probabilistic risk assessment can be used to quantify uncertainty. This document assumes that the RPM or other health professional is somewhat familiar with the basics of the risk assessment and risk management decision making process as implemented in hazardous waste site remediations. This document emphasizes the Monte Carlo probabilistic method and the exposure assessment step of the human health risk assessment process. This includes the techniques and methodology as provided in the United States Environmental Protection Agency's Risk Assessment Guidance for Superfund (RAGS). Probabilistic risk assessment should be viewed as one of a set of appropriate tools in a tiered approach to performing enhanced site specific risk assessment. Example calculations showing results of deterministic and probabilistic risk assessments are provided for illustration as well as several appendices that contain supporting information.
Based on the author's 20 years of teaching, Risk Analysis in Engineering: Techniques, Tools, and Trends presents an engineering approach to probabilistic risk analysis (PRA). It emphasizes methods for comprehensive PRA studies, including techniques for risk management. The author assumes little or no prior knowledge of risk analysis on the p
To discuss where probabilistic approaches can aid EPA's decision making, it is important to generally describe the Agency's current decision making processes and how better understanding and improving elements within these processes can clarify where probabilistic approaches might provide benefits. The enhanced use of PRA and characterization of uncertainty would allow EPA decision makers opportunities to use a more robust and transparent process, which may allow greater responsiveness to outside comments and recommendations. Such an approach would support higher quality EPA assessments and improve confidence in Agency decisions. There are two major areas in the decision-making process that might be improved with PRA. Scientists currently are generally focused on the first area's the understanding of data, model and scenario uncertainties and variability. The second area is one that has not, until recently and only in a limited fashion, been used by EPA decision makers. This area is formal decision analysis. With decision analytic techniques, decision makers can weigh the relative importance of risk information compared to other information in making the decision, understand how uncertainty affects the relative attractiveness of potential decision alternatives, and assess overall confidence in a decision. In addition to data, model and scenario uncertainty, there is a separate category of uncertainties specifically associated with how the decision criteria relate to the decision alternatives. Although it is quite relevant to risk management decisions, the topic and decision analysis in general are outside of the scope of this report. This white paper focuses on technical information that would allow better understanding of the relationships among alternative decisions in assessing risks.
A graduate level textbook on probabilistic risk analysis, aimed at statisticians, operations researchers and engineers.
A series of computer tools has been developed to conduct the exposure assessment and risk characterization phases of human health risk assessments within a probabilistic framework. The tools are collectively referred to as the Probabilistic Risk Evaluation and Characterization Investigation System (PRÉCIS). With this system, a risk assessor can calculate the doses and risks associated with multiple environmental and exposure pathways, for both chemicals and radioactive contaminants. Exposure assessment models in the system account for transport of contaminants to receptor points from a source zone originating in unsaturated soils above the water table. In addition to performing calculations of dose and risk based on initial concentrations, PRÉCIS can also be used in an inverse manner to compute soil concentrations in the source area that must not be exceeded if prescribed limits on dose or risk are to be met. Such soil contaminant levels, referred to as soil guidelines, are computed for both single contaminants and chemical mixtures and can be used as action levels or cleanup levels. Probabilistic estimates of risk, dose and soil guidelines are derived using Monte Carlo techniques.
This timely publication concentrates on the exposure to pesticides by agricultural workers and residential users of pesticides through inhalation and physical contact. The book discusses more recently discovered risks such as pesticides on indoor carpets and includes new trends in data interpretation. Occupational & Residential Exposure Assessment for Pesticides complements the other title on pesticide exposure in the series - Pesticide Residues in Drinking Water, by Hamilton/Crossley and is a must for all professionals in the Pesticide Industry as well as academics.
This book closes a current gap by providing the scientific basis for consumer exposure assessment in the context of regulatory risk assessment. Risk is defined as the likelihood of an event occurring and the severity of its effects. The margin between the dose that leads to toxic effects and the actual dose of a chemical is identified by estimating population exposure. The objective of this book is to provide an introduction into the scientific principles of consumer exposure assessment, and to describe the methods used to estimate doses of chemicals, the statistics applied and computer tools needed. This is presented through the backgrounds of the special fields in exposure analysis, such as exposure via food and by the use of consumer products, toys, clothing and other items. As a general concept, human exposure is also understood to include exposure via the environment and from the work setting. In this context, the specific features of consumer exposure are pointed out and put into the context of regulation, in particular food safety, chemicals safety (REACh) and consumer product safety. The book is structured into three parts: The first part deals with the general concepts of consumer exposure as part of the overall risk analysis framework of risk characterization, risk assessment and risk communication. It describes the three basic features of exposure assessment (i) the exposure scenario (ii) the exposure model and (iii) the exposure parameters, addressing external and internal exposure. Also, the statistical presentation of data to characterize populations, in connection with variability, uncertainty and quality of information and the presentation of exposure evaluation results is described. The second part deals with the specific issues of exposure assessment, exposure via food consumption, exposure from use of consumer products, household products, toys, cosmetic products, textiles, pesticides and others. This part also covers methods for acquisition of data for exposure estimations, including the relevant information from regulations needed to perform an accurate exposure assessment. The third part portrays a prospect for further needs in the development and improvement of consumer exposure assessment, as well as international activities and descriptions of the work of institutions that are involved in exposure assessment on the regulatory and scientific level. And conversely, it creates the rationale for the exposure assessment details necessary to satisfy regulatory needs such as derivation of upper limits and risk management issues.