eprintid: 14152
rev_number: 6
eprint_status: archive
userid: 5
dir: disk0/00/01/41/52
datestamp: 2016-12-14 10:45:10
lastmod: 2021-08-27 17:28:16
status_changed: 2016-12-14 10:45:10
type: article
metadata_visibility: show
item_issues_count: 2
creators_name: Somlyody, L.
creators_name: Wets, R.J.B.
creators_id: 1437
creators_id: AL1370
title: Stochastic Optimization Models for Lake Eutrophication Management
ispublished: pub
divisions: RWP
keywords: natural resources, water: lake eutrophication and water quality management ; probability, stochastic model applications: probabilistic constraints and recourse model
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
date: 1988-10
date_type: published
publisher: INFORMS
id_number: 10.1287/opre.36.5.660
creators_browse_id: 1584
creators_browse_id: 2512
full_text_status: none
publication: Operations Research
volume: 36
number: 5
pagerange: 660-681
refereed: TRUE
issn: 0030-364X
coversheets_dirty: FALSE
fp7_type: info:eu-repo/semantics/article
citation:   Somlyody, L. <https://pure.iiasa.ac.at/view/iiasa/1584.html> & Wets, R.J.B. <https://pure.iiasa.ac.at/view/iiasa/2512.html>  (1988).  Stochastic Optimization Models for Lake Eutrophication Management.   Operations Research 36 (5) 660-681. 10.1287/opre.36.5.660 <https://doi.org/10.1287/opre.36.5.660>.