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Data Enhancement, Integration and Access Services for Smarter, Collaborative and Adaptive Whole-of Water Cycle Management (2008–2011)

Abstract:
Adaptive whole-of-water-cycle approach to water resources management requires rapid, seamless integration of the many independently developed data sources and models. Current approaches involve manual data mapping and tuning by domain experts, which is extremely tedious, time-consuming, not scalable, inflexible and increasingly a bottleneck as complexity, size and scope of the data and models grows. The aim of this project is to improve the speed, rigour and adaptability of the decisions being made within South East Queensland by the partners in the Healthy Waterways Partnership by focussing on services that will improve the quality, completeness, relevance and interpretability of the data used in the models underpinning these decisions.'',
Grant type:
ARC Linkage Projects
Researchers:

  • Professor Shazia Sadiq

    Professor
    School of Electrical Engineering and Computer Science
    Faculty of Engineering, Architecture and Information Technology
Funded by:
Australian Research Council