Volume 12 Issue 1
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Rodney Ronalds, Alex Rowlands, Hong Zhang. 2019: On-site stormwater detention for Australian development projects: Does it meet frequent flow management objectives?. Water Science and Engineering, 12(1): 1-10. doi: 10.1016/j.wse.2019.03.004
Citation: Rodney Ronalds, Alex Rowlands, Hong Zhang. 2019: On-site stormwater detention for Australian development projects: Does it meet frequent flow management objectives?. Water Science and Engineering, 12(1): 1-10. doi: 10.1016/j.wse.2019.03.004
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On-site stormwater detention for Australian development projects: Does it meet frequent flow management objectives?

doi: 10.1016/j.wse.2019.03.004

  • a School of Engineering and Built Environment, Griffith University, Gold Coast 4216, Australia

  • b Michael Bale & Associates Pty. Ltd., Gold Coast 4216, Australia

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  • Corresponding author: Rodney Ronalds
  • Received Date: 2018-06-21
  • Rev Recd Date: 2018-12-24
    Abstract
  • On-site stormwater detention (OSD) is a conventional component of urban drainage systems, designed with the intention of mitigating the increase to peak discharge of stormwater runoff that inevitably results from urbanization. In Australia, singular temporal patterns for design storms have governed the inputs of hydrograph generation and in turn the design process of OSD for the last three decades. This paper raises the concern that many existing OSD systems designed using the singular temporal pattern for design storms may not be achieving their stated objectives when they are assessed against a variety of alternative temporal patterns. The performance of twenty real OSD systems was investigated using two methods: (1) ensembles of design temporal patterns prescribed in the latest version of Australian Rainfall and Runoff, and (2) real recorded rainfall data taken from pluviograph stations modeled with continuous simulation. It is shown conclusively that the use of singular temporal patterns is ineffective in providing assurance that an OSD will mitigate the increase to peak discharge for all possible storm events. Ensemble analysis is shown to provide improved results. However, it also falls short of providing any guarantee in the face of naturally occurring rainfall.

     

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