<mods:mods version="3.3" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-3.xsd" xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><mods:titleInfo><mods:title>Managing Water Quality under Uncertainty: Application of a New Stochastic Branch and Bound Method</mods:title></mods:titleInfo><mods:name type="personal"><mods:namePart type="given">B.J.</mods:namePart><mods:namePart type="family">Lence</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">A.</mods:namePart><mods:namePart type="family">Ruszczynski</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:abstract>The problem of water quality management under uncertain emission levels, reaction rates and pollutant transport is considered. Various performance measures: reliability, resiliency and vulnerability are taken into account. A general methodology for finding a cost-effective water quality management program is developed. The approach employs a new idea of the stochastic branch and bound method, which combines random estimates of the performance for subsets of decisions with iterative refinement of the most promising subsets.</mods:abstract><mods:originInfo><mods:dateIssued encoding="iso8601">1996-06</mods:dateIssued></mods:originInfo><mods:originInfo><mods:publisher>WP-96-066</mods:publisher></mods:originInfo><mods:genre>Monograph</mods:genre></mods:mods>