IDEAS home Printed from https://ideas.repec.org/a/inm/oropre/v36y1988i5p660-681.html
   My bibliography  Save this article

Stochastic Optimization Models for Lake Eutrophication Management

Author

Listed:
  • László Somlyódy

    (Research Center for Water Resources Development, Budapest, Hungary)

  • Roger J.-B. Wets

    (International Institute for Applied Systems Analysis, Laxenburg, Austria, and University of California, Davis, California)

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.

Suggested Citation

  • László Somlyódy & Roger J.-B. Wets, 1988. "Stochastic Optimization Models for Lake Eutrophication Management," Operations Research, INFORMS, vol. 36(5), pages 660-681, October.
  • Handle: RePEc:inm:oropre:v:36:y:1988:i:5:p:660-681
    DOI: 10.1287/opre.36.5.660
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/opre.36.5.660
    Download Restriction: no

    File URL: https://libkey.io/10.1287/opre.36.5.660?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Vladimirou, Hercules, 1998. "Computational assessment of distributed decomposition methods for stochastic linear programs," European Journal of Operational Research, Elsevier, vol. 108(3), pages 653-670, August.
    2. Kampas, Athanasios & White, Ben, 2003. "Probabilistic programming for nitrate pollution control: Comparing different probabilistic constraint approximations," European Journal of Operational Research, Elsevier, vol. 147(1), pages 217-228, May.
    3. Bloemhof-Ruwaard, Jacqueline M. & van Beek, Paul & Hordijk, Leen & Van Wassenhove, Luk N., 1995. "Interactions between operational research and environmental management," European Journal of Operational Research, Elsevier, vol. 85(2), pages 229-243, September.
    4. R.J.-B. Wets, 1994. "Challenges in Stochastic Programming," Working Papers wp94032, International Institute for Applied Systems Analysis.
    5. M. Makowski & L. Somlyody & D. Watkins, 1995. "Multiple Criteria Analysis for Regional Water Quality Management: the Nitra River Case," Working Papers wp95022, International Institute for Applied Systems Analysis.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:oropre:v:36:y:1988:i:5:p:660-681. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.