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https://hdl.handle.net/2440/124269
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Type: | Journal article |
Title: | Controlling rainwater storage as a system: An opportunity to reduce urban flood peaks for rare, long duration storms |
Author: | DiMatteo, M. Lang, R. Maier, H. Thyer, M.A. Simpson, A. Dandy, G. |
Citation: | Environmental Modelling and Software, 2019; 111:34-41 |
Publisher: | Elsevier |
Issue Date: | 2019 |
ISSN: | 1364-8152 1873-6726 |
Statement of Responsibility: | M. Di Matteo, R. Liang, H.R. Maier, M.A. Thyer, A.R. Simpson, G.C. Dandy, B. Ernst |
Abstract: | Globally, urban infill is stressing existing stormwater systems, necessitating costly infrastructure upgrades. Although household rainwater tanks provide significant distributed storage, they have virtually no impact on reducing peak flows for rare, long duration events. This study introduces an innovative “smart systems” approach to operating tanks to overcome this limitation. Smart tanks are operated as systems and tank opening/closing is optimised to reduce peak flows. To evaluate the proposed approach, we develop a simulation-optimization model by coupling SWMM with a multi-objective genetic algorithm. The results for a two allotment case study show a consistent reduction in peak flows for a 24 h, 1 in 100-year storm for a range of rainfall patterns and tank sizes. For example, a system of 10 kL smart tanks reduced peak flows by 39%–48% compared with the same sized retention tanks. This smart systems approach provides an opportunity to reduce the cost of stormwater infrastructure. |
Keywords: | Smart rainwater tanks; Real-time control; Urban flooding; Genetic algorithm; Simulation-optimization; Low-impact development |
Description: | Available online 01 October 2018 |
Rights: | © 2018 Elsevier Ltd. All rights reserved. |
DOI: | 10.1016/j.envsoft.2018.09.020 |
Published version: | http://dx.doi.org/10.1016/j.envsoft.2018.09.020 |
Appears in Collections: | Aurora harvest 8 Civil and Environmental Engineering publications |
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