Deakin University
Browse

File(s) under permanent embargo

Modelling transitions in urban water systems

journal contribution
posted on 2017-12-01, 00:00 authored by W Rauch, C Urich, P M Bach, B C Rogers, Fjalar de Haan, R R Brown, M Mair, D T McCarthy, M Kleidorfer, R Sitzenfrei, A Deletic
© 2017 Elsevier Ltd Long term planning of urban water infrastructure requires acknowledgement that transitions in the water system are driven by changes in the urban environment, as well as societal dynamics. Inherent to the complexity of these underlying processes is that the dynamics of a system's evolution cannot be explained by linear cause-effect relationships and cannot be predicted under narrow sets of assumptions. Planning therefore needs to consider the functional behaviour and performance of integrated flexible infrastructure systems under a wide range of future conditions. This paper presents the first step towards a new generation of integrated planning tools that take such an exploratory planning approach. The spatially explicit model, denoted DAnCE4Water, integrates urban development patterns, water infrastructure changes and the dynamics of socio-institutional changes. While the individual components of the DAnCE4Water model (i.e. modules for simulation of urban development, societal dynamics and evolution/performance of water infrastructure) have been developed elsewhere, this paper presents their integration into a single model. We explain the modelling framework of DAnCE4Water, its potential utility and its software implementation. The integrated model is validated for the case study of an urban catchment located in Melbourne, Australia.

History

Journal

Water Research

Volume

126

Pagination

501 - 514

Publisher

Elsevier

Location

Piscataway, N.J.

ISSN

0043-1354

eISSN

1879-2448

Publication classification

C1.1 Refereed article in a scholarly journal

Usage metrics

    Research Publications

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC