Modelling for managing the complex issue of catchment-scale surface and groundwater allocation

Anthony Jakeman, Rebecca Kelly, Jenifer Ticehurst, Rachel Blakers, Barry Croke, Allan Curtis, Baihua Fu, Sondoss El Sawah, Alex Gardner, Joseph Guillaume, Madeleine Hartley, Cameron Holley, Patrick Hutchings, David Pannell, Andrew Ross, Emily Sharp, Darren Sinclair, Alison Wilson

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    5 Citations (Scopus)

    Abstract

    The management of surface and groundwater can be regarded as presenting resource dilemmas. These are situations where multiple users share a common resource pool, and make contested claims about their rights to access the resource, and the best use and distribution of the resource among competing needs. Overshadowed by uncertainties caused by limited data and lack of scientific knowledge, resource dilemmas are challenging to manage, often leading to controversies and disputes about policy issues and outcomes. In the case of surface and groundwater management, the design of collective policies needs to be informed by a holistic understanding of different water uses and outcomes under different water availability and sharing scenarios. In this paper, we present an integrated modelling framework for assessing the combined impacts of changes in climate conditions and water allocation policies on surface and groundwater-dependent economic and ecological systems. We are implementing the framework in the Namoi catchment, Australia. However, the framework can be transferred and adapted for uses, including water planning, in other agricultural catchments.

    Original languageEnglish
    Title of host publicationSimulation and Modeling Methodologies, Technologies and Applications - International Conference, SIMULTECH 2012, Revised Selected Papers
    EditorsJanusz Kacprzyk, Nuno Pina, Mohammad S. Obaidat, Joaquim Filipe
    PublisherSpringer Verlag
    Pages25-41
    Number of pages17
    ISBN (Electronic)9783319035802
    DOIs
    Publication statusPublished - 2014
    EventInternational Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2012 - Rome, Italy
    Duration: 28 Jul 201231 Jul 2012

    Publication series

    NameAdvances in Intelligent Systems and Computing
    Volume256
    ISSN (Print)2194-5357

    Conference

    ConferenceInternational Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2012
    Country/TerritoryItaly
    CityRome
    Period28/07/1231/07/12

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