<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>Stochastic Optimization Models for Lake Eutrophication Management</mods:title></mods:titleInfo><mods:name type="personal"><mods:namePart type="given">L.</mods:namePart><mods:namePart type="family">Somlyody</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">R.J.B.</mods:namePart><mods:namePart type="family">Wets</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:abstract>We develop a general framework for the study and the control of the eutrophication process of (shallow) lakes. The randomness of the environment (variability in hydrological and meteorological conditions) is an intrinsic characteristic of such systems that cannot be ignored in the analysis of the process or by management in the design of control measures</mods:abstract><mods:originInfo><mods:dateIssued encoding="iso8601">1988-10</mods:dateIssued></mods:originInfo><mods:originInfo><mods:publisher>INFORMS</mods:publisher></mods:originInfo><mods:genre>Article</mods:genre></mods:mods>