Issues in Potable Reuse The Viability of Augmenting Drinking Water Supplies with Reclaimed Water (1998) / Chapter Skim
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Appendix A: Use of Consequence-Frequency Assessment to Evaluate Performance of an Advanced Wastewater Treatment Facility
Appendix A: Use of Consequence-Frequency Assessment to Evaluate Performance of an Advanced Wastewater Treatment Facility
Pages 241-247
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From page 241... ...
, the influent stream to such a facility may be highly variable. For example, at Water Factory 21, the range in influent virus levels was more than two orders of magnitude, and the distribution could be roughly described by a log normal distribution (see Figure Am.
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ratio of the effluent to influent concentration; however the conditional framework (as shown in Figure A-2) provides a more general approach Formally the probability distribution of the product concentrations may be evaluated as a multiple integral, which can (for the indicated process train)
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11: :~ .. .K 73_~ FIGURE A-2 Conceptual diagram of process train and reliability distributions.
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(For example, is removal efficiency dependent in a systematic manner on the influent viral loading or on other process descriptors such as pH?
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by lime treatment at Water Factory 21. The x-axis in Me bottom panel ~ ~ normal probability scale.
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The degree to which the choice of a particular distributional assumption influences the results of a Monte Carlo calculation has not been well studied, although preliminary results suggest that the choice of distributional form may not be overly crucial except in very highly skewed situations. In principle, if the data on process performance distributions are available, then the probability distribution of a particular contaminant in the water to be ingested may be estimated.
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1994. Principles of good practice for the use of Monte Carlo techniques in human health and ecological risk assessment.
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