Abstract: A Bayesian model for assessing uncertain and variable economics of proposed environmentally conscious and other manufacturing processes from available information is described in this paper. Economic risks may stem from ...

Abstract: The majority of hazardous waste is generated industrially, and the importance of industrial pollution prevention to economic and environmental sustainability is now recognized. Sustainability can be evaluated using ...

Abstract: Predicting the size of low-probability, high-consequence natural disasters, industrial accidents, and pollutant releases is often difficult due to limitations in the availability of data on rare events and future circumstances. ...

Abstract: Bayesian inference can provide a rigorous assessment of risk based on the information available. Today's environmental engineer faces many uncertainties in designing systems to address environmental concerns. Uncertainties ...

Abstract: Risk, or the probability of loss, depends on the amount of information available to predict outcomes, as well as the essentially random characteristics of the process. Probabilities calculated by traditional methods do not ...

Abstract: Laboratory tests using ultraviolet radiation and sonocation energy were found to kinetically enhance an iron-mediated aeration (IMA) process under development to remove chelated metals and radionuclides and associated ...