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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. 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.
    2. 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.
    3. 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.
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    11. Farhadi, Saber & Nikoo, Mohammad Reza & Rakhshandehroo, Gholam Reza & Akhbari, Masih & Alizadeh, Mohammad Reza, 2016. "An agent-based-nash modeling framework for sustainable groundwater management: A case study," Agricultural Water Management, Elsevier, vol. 177(C), pages 348-358.
    12. P. Tamuno & M. Smith, 2013. "Fish Species as Eco-indicators in the Comparative Ecological Characterisation of two Creeks in the Central Niger Delta, Nigeria," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(7), pages 2645-2656, May.
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