Abstract

ABSTRACT Green infrastructure strategies are often cited as best practice for urban water management; however, limited research has been undertaken to compare intervention effectiveness during moderate to extreme intensity rainfall events which are typically responsible for surface water flooding. This research responds to this through applying a cellular automata-based rapid scenario screening framework to predict the flood management performance of green infrastructure strategies across an urban catchment in Melbourne City Centre (Australia). Key findings indicate an intensive application of green infrastructure could substantially reduce flood depth and velocity in the catchment but that residual risk remains, particularly during extreme flood events. The best performing intervention strategy in the study area was found to be catchment-wide decentralised rainwater capture. The research also evidences the utility of rapid scenario screening tools to complement existing flood modelling approaches through screening management strategies, exploring scenarios and engaging a wide range of multi-disciplinary stakeholders.

Highlights

  • Intensive development in urban centres can result in them becoming susceptible to flooding during intense rainfall, which can lead to extensive damage and disruption

  • Runoff is influenced by a number of factors, including the volume and intensity of rainfall, the percentage of impermeable area and availability of space and infrastructure to manage exceedance via storage and conveyance (Chocat et al 2007; Butler et al 2018)

  • The viability of green infrastructure to manage urban flooding was tested using the rapid scenario screening framework presented in Webber et al (2018a) and validated in Webber et al (2018b)

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Summary

Introduction

Intensive development in urban centres can result in them becoming susceptible to flooding during intense rainfall, which can lead to extensive damage and disruption. Runoff is influenced by a number of factors, including the volume and intensity of rainfall, the percentage of impermeable area and availability of space and infrastructure to manage exceedance via storage and conveyance (Chocat et al 2007; Butler et al 2018). These factors are predicted to worsen in response to climate change, rapid population growth and ageing drainage infrastructure (Ana and Bauwens 2010; Howard et al 2010; IPCC 2014). The expense and complexities of expanding subterranean infrastructure, in combination with the need to apply more cost-effective, resilient and sustainable management techniques, has resulted in increasing interest in the use of alternate interventions, such as green infrastructure

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