![]() When considering a population’s exposure to urban air pollution, variability may exist in the measured pollution exposure concentrations due to when, where, and how the different measurements were taken (e.g., weekday vs. Model uncertainty (e.g., relationship errors, parameter uncertainty, selection of incorrect model, modeling errors).Human exposure factors (e.g., age, gender, behavioral patterns, location, socioeconomic factors, individual susceptibilities)Įxposure scenario uncertainty might result from:.Environmental parameters (e.g., pH, temperature, or other factors that influence fate, transport, and transformation of a contaminant).Measurements of source contaminant concentrations.In an exposure assessment variability may be present in: What factors contribute to variability and uncertainty in exposure assessment? Variability Uncertainty can be introduced when defining exposure assumptions, identifying individual parameters (i.e., data), making model predictions, or formulating judgments of the risk assessment. ![]() Chemical concentrations in environmental media can be approximated using assumptions (more uncertainty) or described using measured data (less uncertainty). Qualitative uncertainty may be due to a lack of knowledge about the factors that affect exposure, whereas quantitative uncertainty may come from the use of non-precise measurement methods. Uncertainty can be qualitative or quantitative. But, the assessor cannot change the individual body weights of the study population, and therefore cannot decrease the variability in the population. The average body weight of the population can be characterized by collecting data collecting an exact measured body weight from each study participant will allow for better understanding of the average body weight of the population than if body weights are estimated using an indirect approach (e.g., approximating based on visual inspection).
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