A new approach to water quality modelling and environmental decision support systems

  • Authors:

  • R. M. Argent;J. -M. Perraud;J. M. Rahman;R. B. Grayson;G. M. Podger

  • Affiliations:

  • Department of Civil and Environmental Engineering, The University of Melbourne, Vic., Australia and eWater Cooperative Research Centre, Australia;CSIRO Land and Water, Canberra, ACT, Australia and eWater Cooperative Research Centre, Australia;CSIRO Land and Water, Canberra, ACT, Australia and eWater Cooperative Research Centre, Australia;Department of Civil and Environmental Engineering, The University of Melbourne, Vic., Australia;CSIRO Land and Water, Canberra, ACT, Australia and eWater Cooperative Research Centre, Australia

  • Venue:
  • Environmental Modelling & Software
  • Year:
  • 2009

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Abstract

The concepts and technology of environmental decision support systems (EDSS) have developed considerably over recent decades, although core concepts such as flexibility and adaptability within a changing decision environment remain paramount. Much recent EDSS theory has focussed on model integration and re-use in decision support system (DSS) tools and for design and construction of 'DSS generators'. Many current specific DSS have architectures, tools, models and operational characteristics that are either fixed or difficult to change in the face of changing management needs. This paper reports on development and deployment of an EDSS that encompasses a new approach to DSS tools, generators and specific DSS applications. The system, named E2, is built upon a conceptualisation of terrestrial and aquatic environmental systems that has resulted in a robust and flexible system architecture. The architecture provides a set of base classes to represent fundamental concepts, and which can be instantiated and combined to form DSS generators of varying complexity. A DSS generator is described within which system users are able to select and link models, data, analysis tools and reporting tools to create specific DSS for particular problems, and for which new models and tools can be created and, through software reflection (introspection), discovered to provide expanded capability where required. This system offers a new approach within which environmental systems can be described in the form of specific DSS at a scale and level of complexity suited to the problems and needs of decision makers.