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Analytical Support for Integrated Water Resources Management: A New Method for Addressing Spatial and Temporal Variability

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  • Vladimir Nikolic
  • Slobodan Simonovic
  • Dragan Milicevic

Abstract

This paper discusses the development of an analytical support system for implementation of the Integrated Water Resources Management (IWRM) process. The system integrates four analytical tools: (i) geographic information system; (ii) system dynamics simulation; (iii) agent-based model; and (iv) hydrologic simulation. The choice of tools is driven by their ability to (a) respond to the main requirements of the IWRM and (b) explicitly describe system behaviour as function of time and location in space. The system dynamics simulation captures temporal dynamics in an integrated feedback model that includes sectors representing physical and socioeconomic system components. Management policies established in the participatory decision making environment are easily investigated through the simulation of system behaviour. Agent-based model is used to analyze spatial dynamics of complex physical-social-economic-biologic system. The IWRM support system is tested using data from the Upper Thames River Watershed, Ontario, Canada, in collaboration with the Upper Thames River Conservation Authority. Copyright Springer Science+Business Media Dordrecht 2013

Suggested Citation

  • Vladimir Nikolic & Slobodan Simonovic & Dragan Milicevic, 2013. "Analytical Support for Integrated Water Resources Management: A New Method for Addressing Spatial and Temporal Variability," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(2), pages 401-417, January.
    • Handle: RePEc:spr:waterr:v:27:y:2013:i:2:p:401-417
    DOI: 10.1007/s11269-012-0193-z
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    1. Ana Coelho & John Labadie & Darrell Fontane, 2012. "Multicriteria Decision Support System for Regionalization of Integrated Water Resources Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(5), pages 1325-1346, March.
    2. Raymond Kim & Daniel Loucks & Jery Stedinger, 2012. "Artificial Neural Network Models of Watershed Nutrient Loading," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(10), pages 2781-2797, August.
    3. Lucie Clavel & Marie-Hélène Charron & Olivier Therond & Delphine Leenhardt, 2012. "A Modelling Solution for Developing and Evaluating Agricultural Land-Use Scenarios in Water Scarcity Contexts," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(9), pages 2625-2641, July.
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    6. Tesfatsion, Leigh & Jie, Yu & Rehmann, Chris R. & Gutowski, William J., 2015. "WACCShed: A Platform for the Study of Watersheds as Dynamic Coupled Natural and Human Systems," ISU General Staff Papers 201512160800001226, Iowa State University, Department of Economics.
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    15. Mehri Abdi-Dehkordi & Omid Bozorg-Haddad & Abdolrahim Salavitabar & Erfan Goharian, 2021. "Developing a sustainability assessment framework for integrated management of water resources systems using distributed zoning and system dynamics approaches," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 16246-16282, November.
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