IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v20y2006i4p591-605.html
   My bibliography  Save this article

The Implementation of a Bayesian Network for Watershed Management Decisions

Author

Listed:
  • Ahmed Said

Abstract

Recently, the U.S. EPA issued the 303(d) list of impaired waters in Idaho State that contained the causes of impairment. This 303(d) list provides useful information that can be used to determine the Total Maximum Daily Loads (TMDLs). Implementation of TMDLs should result in pollutant reductions, which, in turn can lead to the restoration of these water bodies. Flow alteration is one of the potential sources of impairments in the Big Lost River in south-central Idaho, which have some negative impacts on the water quality and beneficial uses. Flow in the Big Lost River is altered, both in quantity and quality, and this reduces recreation activities, affects the fish assemblage, and changes the composition and relative abundance of aquatic species. The effect of riparian vegetation is another factor that needs to be predicted. In addition, three conservation schemes (construction of upstream reservoirs, downstream reservoirs, and canal linings) were proposed to restore flow in the downstream reaches of the river and compensate for water loss during the low flood seasons. However, there is no single predictive model that can be used to appropriately represent each of these issues as management decisions. In this paper, an expert system in the form of a Bayesian network, a graphical diagram of nodes and arcs, was implemented to examine all significant water management variables and relationships among these variables. Lining the irrigation canals was found to be the best scheme, followed by constructing an upstream reservoir. The TMDLs would benefit the water quality in the watershed but would not significantly increase the water quantity and solve the flow alteration problem. Consequently, this can be used to determine the sequence of decisions that can be taken in the future. Copyright Springer Science + Business Media, Inc. 2006

Suggested Citation

  • Ahmed Said, 2006. "The Implementation of a Bayesian Network for Watershed Management Decisions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 20(4), pages 591-605, August.
  • Handle: RePEc:spr:waterr:v:20:y:2006:i:4:p:591-605
    DOI: 10.1007/s11269-006-3088-z
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11269-006-3088-z
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11269-006-3088-z?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Z. Kundzewicz & L. Somlyódy, 1997. "Climatic Change Impact on Water Resources in a Systems Perspective," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 11(6), pages 407-435, December.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Qiuxiang Jiang & Tian Wang & Zilong Wang & Qiang Fu & Zhimei Zhou & Youzhu Zhao & Yujie Dong, 2018. "HHM- and RFRM-Based Water Resource System Risk Identification," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(12), pages 4045-4061, September.
    2. José-Luis Molina & Santiago Zazo, 2017. "Causal Reasoning for the Analysis of Rivers Runoff Temporal Behavior," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(14), pages 4669-4681, November.
    3. Xinghui Xia & Zhifeng Yang & Yuxiang Wu, 2009. "Incorporating Eco-environmental Water Requirements in Integrated Evaluation of Water Quality and Quantity—A Study for the Yellow River," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(6), pages 1067-1079, April.
    4. Keshtkar, A.R. & Salajegheh, A. & Sadoddin, A. & Allan, M.G., 2013. "Application of Bayesian networks for sustainability assessment in catchment modeling and management (Case study: The Hablehrood river catchment)," Ecological Modelling, Elsevier, vol. 268(C), pages 48-54.
    5. Jose-Luis Molina & Jose García-Aróstegui & John Bromley & Jose Benavente, 2011. "Integrated Assessment of the European WFD Implementation in Extremely Overexploited Aquifers Through Participatory Modelling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(13), pages 3343-3370, October.
    6. Rahman Khatibi & Farzin Salmasi & Mohammad Ghorbani & Hakimeh Asadi, 2014. "Modelling Energy Dissipation Over Stepped-gabion Weirs by Artificial Intelligence," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(7), pages 1807-1821, May.
    7. José-Luis Molina & Santiago Zazo & Ana-María Martín-Casado & María-Carmen Patino-Alonso, 2020. "Rivers’ Temporal Sustainability through the Evaluation of Predictive Runoff Methods," Sustainability, MDPI, vol. 12(5), pages 1-21, February.

    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. Slobodan P. Simonovic, 2017. "Bringing Future Climatic Change into Water Resources Management Practice Today," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(10), pages 2933-2950, August.
    2. Konstantine Georgakakos & Deg-Hyo Bae & Chang-Sam Jeong, 2005. "Utility of Ten-Day Climate Model Ensemble Simulations for Water Resources Applications in Korean Watersheds," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 19(6), pages 849-872, December.

    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:spr:waterr:v:20:y:2006:i:4:p:591-605. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.