IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-03373478.html
   My bibliography  Save this paper

Optimisation « économique » vs « physique » des réseaux de surveillance de la qualité de l'eau

Author

Listed:
  • François Destandau

    (UMR GESTE - Gestion Territoriale de l'Eau et de l'environnement - ENGEES - École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Youssef Zaiter

Abstract

Les réseaux de surveillance jouent un rôle important dans l'acquisition d'information pour orienter les politiques afin d'améliorer la qualité des eaux de surface. Ceci nous a conduits à une réflexion sur la valeur économique de cette information par la méthode bayésienne. Dans cette étude, nous cherchons à déterminer la localisation optimale des stations d'un réseau de surveillance, le long d'une rivière, dont l'objectif est de détecter des pollutions accidentelles potentielles. Nous élaborons un modèle théorique et une simulation numérique pour comparer la valeur économique de l'information de deux réseaux différents : un réseau « physiquement » optimisé où la localisation des stations permet de minimiser le temps de détection de la pollution accidentelle, en ne tenant compte que de considérations hydrologiques, et un réseau « économiquement » optimisé où la localisation des stations permet la maximisation de la valeur de l'information. Cette comparaison est faite pour trois scénarios de vulnérabilité, à savoir un dommage environnemental, généré par la pollution : constant, décroissant ou croissant le long de la rivière. Nos résultats montrent que l'avantage d'optimiser économiquement le réseau plutôt que physiquement, dépend du contexte, à savoir le nombre de stations et le scénario de vulnérabilité. Ainsi, selon le coût additionnel de l'optimisation économique, l'optimisation physique pourrait être recommandée. Gestion de la ressource en eau-Réseaux de surveillance de la qualité-Valeur économique de l'information

Suggested Citation

  • François Destandau & Youssef Zaiter, 2020. "Optimisation « économique » vs « physique » des réseaux de surveillance de la qualité de l'eau," Post-Print hal-03373478, HAL.
    • Handle: RePEc:hal:journl:hal-03373478
    Note: View the original document on HAL open archive server: https://hal.science/hal-03373478
    as

    Download full text from publisher

    File URL: https://hal.science/hal-03373478/document
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alvarez-Vázquez, L.J. & Martínez, A. & Vázquez-Méndez, M.E. & Vilar, M.A., 2006. "Optimal location of sampling points for river pollution control," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 71(2), pages 149-160.
    2. Stigler, George J., 2011. "Economics of Information," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 5, pages 35-49.
    3. Fumie Yokota & Kimberly M. Thompson, 2004. "Value of Information Literature Analysis: A Review of Applications in Health Risk Management," Medical Decision Making, , vol. 24(3), pages 287-298, June.
    4. Fumie Yokota & Kimberly M. Thompson, 2004. "Value of Information Analysis in Environmental Health Risk Management Decisions: Past, Present, and Future," Risk Analysis, John Wiley & Sons, vol. 24(3), pages 635-650, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fumie Yokota & George Gray & James K. Hammitt & Kimberly M. Thompson, 2004. "Tiered Chemical Testing: A Value of Information Approach," Risk Analysis, John Wiley & Sons, vol. 24(6), pages 1625-1639, December.
    2. Luhede, Amelie & Yaqine, Houda & Bahmanbijari, Reza & Römer, Michael & Upmann, Thorsten, 2024. "The value of information in water quality monitoring and management," Ecological Economics, Elsevier, vol. 219(C).
    3. Wesley J. Marrero & Mariel S. Lavieri & Jeremy B. Sussman, 2021. "Optimal cholesterol treatment plans and genetic testing strategies for cardiovascular diseases," Health Care Management Science, Springer, vol. 24(1), pages 1-25, March.
    4. Peter I. Frazier & Warren B. Powell, 2010. "Paradoxes in Learning and the Marginal Value of Information," Decision Analysis, INFORMS, vol. 7(4), pages 378-403, December.
    5. Jill Johnston & Jacqueline MacDonald Gibson, 2015. "Indoor Air Contamination from Hazardous Waste Sites: Improving the Evidence Base for Decision-Making," IJERPH, MDPI, vol. 12(12), pages 1-18, November.
    6. Alberto Chong & Virgilio Galdo & Máximo Torero, 2005. "Does Privatization Deliver? Access to Telephone Services and Household Income in Poor Rural Areas Using a Quasi-Natural Experiment in Peru," Research Department Publications 4417, Inter-American Development Bank, Research Department.
    7. Xiaoyi Liu & Jonghyun Lee & Peter Kitanidis & Jack Parker & Ungtae Kim, 2012. "Value of Information as a Context-Specific Measure of Uncertainty in Groundwater Remediation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(6), pages 1513-1535, April.
    8. Steinmetz, Alexander, 2010. "Price and inventory dynamics in an oligopoly industry: A framework for commodity markets," W.E.P. - Würzburg Economic Papers 82, University of Würzburg, Department of Economics.
    9. J. K. Pappalardo, 2022. "Economics of Consumer Protection: Contributions and Challenges in Estimating Consumer Injury and Evaluating Consumer Protection Policy," Journal of Consumer Policy, Springer, vol. 45(2), pages 201-238, June.
    10. Feser, Daniel & Runst, Petrik, 2015. "Energy efficiency consultants as change agents? Examining the reasons for EECs’ limited success," ifh Working Papers 1 (2015), Volkswirtschaftliches Institut für Mittelstand und Handwerk an der Universität Göttingen (ifh).
    11. Oliver Hinz & Jochen Eckert, 2010. "The Impact of Search and Recommendation Systems on Sales in Electronic Commerce," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 2(2), pages 67-77, April.
    12. Amanda P. Rehr & Mitchell J. Small & Paul S. Fischbeck & Patricia Bradley & William S. Fisher, 2014. "The role of scientific studies in building consensus in environmental decision making: a coral reef example," Environment Systems and Decisions, Springer, vol. 34(1), pages 60-87, March.
    13. Alexander W. Salter & William J. Luther, 2016. "The Optimal Austrian Business Cycle Theory," Advances in Austrian Economics, in: Studies in Austrian Macroeconomics, volume 20, pages 45-60, Emerald Group Publishing Limited.
    14. Nagler Matthew G., 2007. "Understanding the Internet's Relevance to Media Ownership Policy: A Model of Too Many Choices," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 7(1), pages 1-28, June.
    15. Laband, David N. & Hussain, Anwar & González-Cabán, Armando, 2008. "The impact of forest service litigation success on administrative appeals of proposed fuels reduction actions," Forest Policy and Economics, Elsevier, vol. 10(7-8), pages 444-449, October.
    16. Bellini, Silvia & Cardinali, Maria Grazia & Grandi, Benedetta, 2017. "A structural equation model of impulse buying behaviour in grocery retailing," Journal of Retailing and Consumer Services, Elsevier, vol. 36(C), pages 164-171.
    17. Castilla, Carolina & Haab, Timothy C., 2010. "Asymmetric Search and Loss Aversion: Choice Experiment on Consumer Willingness to Search in the Gasoline Retail Market," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 61672, Agricultural and Applied Economics Association.
    18. Dhaval M. Dave, 2013. "Effects of Pharmaceutical Promotion: A Review and Assessment," NBER Working Papers 18830, National Bureau of Economic Research, Inc.
    19. Andrew Caplin & Mark Dean & Daniel Martin, 2011. "Search and Satisficing," American Economic Review, American Economic Association, vol. 101(7), pages 2899-2922, December.
    20. Tan Wang & Tony S. Wirjanto, 2016. "Risk Aversion, Uncertainty, Unemployment Insurance Benefit and Duration of "Wait" Unemployment," Annals of Economics and Finance, Society for AEF, vol. 17(1), pages 1-34, May.

    More about this item

    Statistics

    Access and download statistics

    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:hal:journl:hal-03373478. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.