Modelling transitions in urban water systems.

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.

[1]  Wolfgang Rauch,et al.  A planning algorithm for quantifying decentralised water management opportunities in urban environments. , 2013, Water science and technology : a journal of the International Association on Water Pollution Research.

[2]  Fjalar J. de Haan,et al.  The needs of society: A new understanding of transitions, sustainability and liveability , 2014 .

[3]  Richard N. Palmer,et al.  Evaluating Water Demands under Climate Change and Transitions in the Urban Environment , 2011 .

[4]  Jeroen C. J. H. Aerts,et al.  Research, part of a Special Feature on New Methods for Adaptive Water Management Managing Change toward Adaptive Water Management through Social Learning , 2007 .

[5]  A J Saul,et al.  Flooding in the future--predicting climate change, risks and responses in urban areas. , 2005, Water science and technology : a journal of the International Association on Water Pollution Research.

[6]  Robert J. Lempert,et al.  Do We Need Better Predictions to Adapt to a Changing Climate , 2009 .

[7]  J. O'Sullivan,et al.  A decision support tool for sustainable planning of urban water systems: presenting the Dynamic Urban Water Simulation Model. , 2013, Water research.

[8]  Dawn Cassandra Parker,et al.  Spatial agent-based models for socio-ecological systems: Challenges and prospects , 2013, Environ. Model. Softw..

[9]  Philipp Klöckner.  From source to tap , 2015 .

[10]  Alexey A. Voinov,et al.  'Integronsters', integral and integrated modeling , 2013, Environ. Model. Softw..

[11]  Marc Spiller,et al.  Flexible design in water and wastewater engineering--definitions, literature and decision guide. , 2015, Journal of environmental management.

[12]  Rebekah Ruth Brown,et al.  A methodology to enable exploratory thinking in strategic planning , 2016 .

[13]  R. Stouffer,et al.  Stationarity Is Dead: Whither Water Management? , 2008, Science.

[14]  Michael Batty,et al.  Ucl Centre for Advanced Spatial Analysis Working Papers Series Key Challenges in Agent-based Modelling for Geo-spatial Simulation Paper 121 -sept 07 Key Challenges in Agent-based Modelling for Geo-spatial Simulation , 2022 .

[15]  Wolfgang Rauch,et al.  A dynamic urban development model designed for purposes in the field of urban water management , 2015 .

[16]  W Rauch,et al.  Assessing the efficiency of different CSO positions based on network graph characteristics. , 2013, Water science and technology : a journal of the International Association on Water Pollution Research.

[17]  Wolfgang Rauch,et al.  Modelling cities and water infrastructure dynamics , 2013 .

[18]  Michel Bierlaire,et al.  Development of Prototype Urbansim Models , 2010 .

[19]  Steve Bankes,et al.  Exploratory Modeling for Policy Analysis , 1993, Oper. Res..

[20]  Niki Frantzeskaki,et al.  The enabling institutional context for integrated water management: lessons from Melbourne. , 2013, Water research.

[21]  P. Waddell.  UrbanSim: Modeling Urban Development for Land Use, Transportation, and Environmental Planning , 2002 .

[22]  Keith C. Clarke,et al.  Loose-Coupling a Cellular Automaton Model and GIS: Long-Term Urban Growth Prediction for San Francisco and Washington/Baltimore , 1998, Int. J. Geogr. Inf. Sci..

[23]  Daniel G. Aliaga,et al.  Procedural Generation of Parcels in Urban Modeling , 2012, Comput. Graph. Forum.

[24]  Warren E. Walker,et al.  Adapt or Perish: A Review of Planning Approaches for Adaptation under Deep Uncertainty , 2013 .

[25]  Wolfgang Rauch,et al.  Designing and implementing a multi-core capable integrated urban drainage modelling Toolkit: Lessons from CityDrain3 , 2016, Adv. Eng. Softw..

[26]  A. N. Strahler.  Quantitative analysis of watershed geomorphology , 1957 .

[27]  N. Frantzeskaki,et al.  A strategic program for transitioning to a Water Sensitive City , 2013 .

[28]  Tim D. Fletcher,et al.  A model for urban stormwater improvement conceptualisation , 2002 .

[29]  Jan Rotmans,et al.  Patterns in transitions: Understanding complex chains of change , 2011 .

[30]  Christos Makropoulos,et al.  Source to tap urban water cycle modelling , 2013, Environ. Model. Softw..

[31]  W Rauch,et al.  An agent-based approach for generating virtual sewer systems. , 2010, Water science and technology : a journal of the International Association on Water Pollution Research.

[32]  Jim W. Hall,et al.  Assessing the effectiveness of non-structural flood management measures in the Thames Estuary under conditions of socio-economic and environmental change , 2011 .

[33]  A. Maslow.  A Theory of Human Motivation , 1943 .

[34]  Wolfgang Rauch,et al.  Dynamic virtual infrastructure benchmarking: DynaVIBe , 2010 .

[35]  Luc Van Gool,et al.  Procedural modeling of buildings , 2006, SIGGRAPH 2006.

[36]  Peter Steen Mikkelsen,et al.  A critical review of integrated urban water modelling - Urban drainage and beyond , 2014, Environ. Model. Softw..

[37]  Ana Deletic,et al.  Many roads to Rome: The emergence of pathways from patterns of change through exploratory modelling of sustainability transitions , 2016, Environ. Model. Softw..

[38]  Peter Loukopoulos,et al.  Discrete event simulation for exploring strategies: an urban water management case. , 2007, Environmental science & technology.

[39]  A Pathirana,et al.  Developing the evidence base for mainstreaming adaptation of stormwater systems to climate change. , 2012, Water research.

[40]  Mogens Henze,et al.  Activated sludge models ASM1, ASM2, ASM2d and ASM3 , 2015 .

[41]  H Kinzel,et al.  The application of a Web-geographic information system for improving urban water cycle modelling. , 2014, Water science and technology : a journal of the International Association on Water Pollution Research.

[42]  R. Lempert,et al.  Shaping the Next One Hundred Years: New Methods for Quantitative Long-Term Policy Analysis , 2003 .

[43]  W. Rauch,et al.  Decision Support for Adaptation Planning of Urban Drainage Systems , 2017 .

[44]  F. Geels,et al.  Typology of sociotechnical transition pathways , 2007 .

[45]  Orazio Giustolisi,et al.  An integrated modelling approach for the assessment of land use change effects on wastewater infrastructures , 2009, Environ. Model. Softw..

[46]  Wolfgang Rauch,et al.  Info-Gap robustness pathway method for transitioning of urban drainage systems under deep uncertainties. , 2017, Water science and technology : a journal of the International Association on Water Pollution Research.

[47]  Wolfgang Rauch,et al.  Exploring critical pathways for urban water management to identify robust strategies under deep uncertainties. , 2014, Water research.

[48]  R R Brown,et al.  Urban water management in cities: historical, current and future regimes. , 2009, Water science and technology : a journal of the International Association on Water Pollution Research.

[49]  R. Dawson.  Re-engineering cities: a framework for adaptation to global change , 2007, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[50]  C. Alderfer.  An empirical test of a new theory of human needs , 1969 .

[51]  Wolfgang Rauch,et al.  Modelling the urban water cycle as an integrated part of the city: a review. , 2014, Water science and technology : a journal of the International Association on Water Pollution Research.

[52]  Rebekah R. Brown,et al.  Actors working the institutions in sustainability transitions: The case of Melbourne's stormwater management , 2013 .

[53]  Nina Schwarz,et al.  An integrated modelling framework for simulating regional-scale actor responses to global change in the water domain , 2008, Environ. Model. Softw..

[54]  Dorothee Spuhler,et al.  The Potential of Knowing More: A Review of Data-Driven Urban Water Management. , 2017, Environmental science & technology.

[55]  M. Batty.  The Size, Scale, and Shape of Cities , 2008, Science.

[56]  Ana Deletic,et al.  Can we model the implementation of water sensitive urban design in evolving cities? , 2015, Water science and technology : a journal of the International Association on Water Pollution Research.

[57]  Christian Urich,et al.  Effectiveness of incentives to promote adoption of water sensitive urban design: A case study on rain water harvesting tanks , 2016 .

[58]  Ana Deletic,et al.  Assessment of Urban Pluvial Flood Risk and Efficiency of Adaptation Options Through Simulations – A New Generation of Urban Planning Tools , 2017 .