A new approach to water quality modelling and environmental decision support systems |
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| Authors: | RM Argent J-M Perraud JM Rahman RB Grayson GM Podger |
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| Affiliation: | 1. Department of Civil and Environmental Engineering, The University of Melbourne, Vic., Australia;2. CSIRO Land and Water, Canberra, ACT, Australia;3. eWater Cooperative Research Centre, Australia;1. University of St Andrews, United Kingdom;2. Jeibee Ltd, United Kingdom;3. University of Oslo, Norway;4. Charles University in Prague, Czech Republic;5. Elsevier, The Netherlands;1. TU Delft, Faculty of Civil Engineering and Geosciences, PO Box 5048, 2600 GA, Delft, The Netherlands;2. KWR Watercycle Research Institute, Nieuwegein, The Netherlands;3. Flemish Institute for Technological Research (VITO), Antwerpen, Belgium;4. Erftverband, Bergheim, Germany;5. Copernicus Institute, Utrecht University, The Netherlands;6. Waternet, Strategic Centre, Amsterdam, The Netherlands;1. Commonwealth Scientific and Industrial Research Organisation (CSIRO), Oceans and Atmosphere Flagship, Ecosciences Precinct, 41 Boggo Road, Dutton Park, 4001, Queensland, Australia;2. School of Marine Studies, Faculty of Science, Technology and Environment, Laucala Bay Road, Suva, Fiji;3. Ifremer, Maritime Economics Unit & AMURE Research Group, B.P. 70, Plouzané, France;4. School of Economics and Finance, Queensland University of Technology, 2 George St, Brisbane, 4000, Queensland, Australia;5. Australian Antarctic Division, 203 Channel Highway, Kingston, 7050, Tasmania, Australia;1. Lancaster Environment Centre, Lancaster University, Bailrigg, Lancaster LA1 4YQ, England, UK;2. Rothamsted Research North Wyke, Okehampton, Devon EX20 2SB, England, UK;3. Global Sustainability Institute, Anglia Ruskin University, Cambridge CB1 1PT, England, UK;4. Met Office Hadley Centre, Exeter, Devon EX1 3PB, England, UK;5. School of Environmental Sciences, Norwich Research Park, University of East Anglia, Norwich NR4 7TJ, England, UK;6. James Hutton Institute, Aberdeen AB15 8QH, Scotland, UK;7. School of Engineering, Liverpool University, L69 3GQ, England, UK;8. School of Environment, Natural Resources and Geography, Bangor University, Bangor, Gwynedd LL57 2UW, Wales, UK;9. School of Computing, Mathematics and Digital Technology, Manchester Metropolitan University, Manchester M1 5GD, England, UK;10. Geography Department, Durham University, Durham, DH1 3LE, England, UK |
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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. |
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