Using Water-Sensitive Urban Design to improve drainage capacity

Authors

  • Robin Noordhoek University of Twente

DOI:

https://doi.org/10.25609/sure.v1.1052

Abstract

Water Sensitive Urban Design (WSUD) integrates water cycle management into urban planning and design. When applying the WSUD practices to urban areas, environmental degradation can be minimized, while improving aesthetic and recreational appeal at the same time. However, the effects of WSUD measures on water flow regimes are not fully known. The objective of the research was to determine suitable WSUD measures for a catchment in Adelaide, Australia by producing an updated and more reliable rainfall-runoff model using historical flow data. After this, the use of several suitable WSUD measures were simulated on the catchment to gain insight into their effect on drainage capacity.

References

Argue, J. E., Good, K., & Mulcahy, D. E. (1994). Planning, Instrumentation and Data for an Urban Drainage Network in Adelaide, South Australia. Water Down Under, November edition, p. 287 - 294.

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eWater Ltd. (2011). Guidelines for water management modelling. Canberra: CRC Australia.

Government of South Australia. (2013). Designing a WSUD strategy for your development. Adelaide, SA, Australia: Government of South Australia.

Hoban, A. & Wong, T.H.F. (2006). WSUD resilience to Climate Change. 1st international Hydropolis Conference, Perth WA, October 2006

Kemp, D. J. (2002). The development of a rainfall-runoff-routing model (RRR). Adelaide: University of South Australia.

Kjelsen, T. R. (2007). The revised FSR/FEH rainfall runoff method. Oxfordshire, UK: Centre for Ecology & Hydrology.

Myers et al. (2014) Water Sensitive Urban Design Impediments and Potential: Contributions to the Urban Water Blueprint. Adelaide: Goyder Institute

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Published

2015-11-20

How to Cite

Noordhoek, R. (2015). Using Water-Sensitive Urban Design to improve drainage capacity. Student Undergraduate Research E-Journal!, 1. https://doi.org/10.25609/sure.v1.1052

Issue

Section

Economics & Social Sciences