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Application of Bayesian networks for sustainability assessment in catchment modeling and management (Case study: The Hablehrood river catchment)

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  • Keshtkar, A.R.
  • Salajegheh, A.
  • Sadoddin, A.
  • Allan, M.G.

Abstract

Catchment management is a process which increases the sustainable development and management of all catchment resources in order to maximize the balance among socioeconomic welfare and the sustainability of vital ecosystems. The increase of anthropogenic activities within river catchments causes degradation and serious problems for stakeholders and managers, particularly in arid and semi-arid regions. Although there are many techniques for solving these problems, it is not easy for catchment managers to apply them. An integrated Bayesian network model framework was applied to evaluate the sustainability of a semi-arid river catchment located in the Iranian Central Plateau river basin encompassing 32.6km2 area on the Hablehrood river catchment, located in the northern part of the Iranian Central Plateau river basin. The research illustrated the assessment of the relevant management problems, the model framework, and the techniques applied to extract input data. Results for the study area implementation and a suggestion for management are described and discussed.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:ecomod:v:268:y:2013:i:c:p:48-54
    DOI: 10.1016/j.ecolmodel.2013.08.003
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    References listed on IDEAS

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    1. Batchelor, Charles & Cain, Jeremy, 1999. "Application of belief networks to water management studies," Agricultural Water Management, Elsevier, vol. 40(1), pages 51-57, March.
    2. Sadoddin, A. & Letcher, R.A. & Jakeman, A.J. & Newham, L.T.H., 2005. "A Bayesian decision network approach for assessing the ecological impacts of salinity management," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 69(1), pages 162-176.
    3. Uusitalo, Laura, 2007. "Advantages and challenges of Bayesian networks in environmental modelling," Ecological Modelling, Elsevier, vol. 203(3), pages 312-318.
    4. Barton, D.N. & Saloranta, T. & Moe, S.J. & Eggestad, H.O. & Kuikka, S., 2008. "Bayesian belief networks as a meta-modelling tool in integrated river basin management -- Pros and cons in evaluating nutrient abatement decisions under uncertainty in a Norwegian river basin," Ecological Economics, Elsevier, vol. 66(1), pages 91-104, May.
    5. 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.
    6. Carmona, Gema & Varela-Ortega, Consuelo & Bromley, John, 2009. "Stakeholder involvement in water management using Object-oriented Bayesian networks and economic models in Spain," 2009 Conference, August 16-22, 2009, Beijing, China 49897, International Association of Agricultural Economists.
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