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Dastgir A, Hesarkazzazi S, Oberascher M, Hajibabaei M, Sitzenfrei R. Graph method for critical pipe analysis of branched and looped drainage networks. WATER SCIENCE AND TECHNOLOGY : A JOURNAL OF THE INTERNATIONAL ASSOCIATION ON WATER POLLUTION RESEARCH 2023; 87:157-173. [PMID: 36640030 DOI: 10.2166/wst.2022.413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Enhancing resilience of drainage networks is a crucial practice to protect both humans and nature. One way to enhance resilience is to identify critical parts of drainage networks for targeted management and maintenance strategies. While hydrodynamic modelling approaches for identification are computationally intensive, in this study, a novel method based on complex network analysis is used to determine the most critical pipes in a benchmark and a real network of an Alpine municipality. For evaluation, the results of the proposed graph method are compared with hydrodynamic simulations in terms of accuracy and computational time. Results show that the proposed method is very accurate (R2 = 0.98) for branched benchmark network while the accuracy reduces slightly for the more complex real network (R2 = 0.96). Furthermore, the accuracy of the proposed method decreases with increasing loop degree and when the system is pressured with higher return period rainfall. Although the outcomes of the proposed method show slight differences to hydrodynamic modelling, it is still very useful because the computational time and data required are much less than a hydrodynamic model.
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Affiliation(s)
- Aun Dastgir
- Unit of Environmental Engineering, Department of Infrastructure Engineering, Faculty of Engineering Sciences, University of Innsbruck, Technikerstrasse 13, Innsbruck 6020, Austria E-mail:
| | - Sina Hesarkazzazi
- Unit of Environmental Engineering, Department of Infrastructure Engineering, Faculty of Engineering Sciences, University of Innsbruck, Technikerstrasse 13, Innsbruck 6020, Austria E-mail:
| | - Martin Oberascher
- Unit of Environmental Engineering, Department of Infrastructure Engineering, Faculty of Engineering Sciences, University of Innsbruck, Technikerstrasse 13, Innsbruck 6020, Austria E-mail:
| | - Mohsen Hajibabaei
- Unit of Environmental Engineering, Department of Infrastructure Engineering, Faculty of Engineering Sciences, University of Innsbruck, Technikerstrasse 13, Innsbruck 6020, Austria E-mail:
| | - Robert Sitzenfrei
- Unit of Environmental Engineering, Department of Infrastructure Engineering, Faculty of Engineering Sciences, University of Innsbruck, Technikerstrasse 13, Innsbruck 6020, Austria E-mail:
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Abstract
Multiscale resilience, i.e., coordinating different scales within a system to jointly cope and mitigate risks on any single scale, is identified as the feature of a complex resilient system. However, in water distribution systems (WDSs) and urban drainage systems (UDSs), the inherent resilience is usually not multiscale resilience. By referring to the larger scale to larger pipes serving both local users and some other users at smaller scales, it can be found that smaller scales are not responsible for providing resilience to cope with failures in larger scales. These are because the main function of traditional water systems is to deliver water from upstream to downstream. This study demonstrates that improving multiscale resilience in WDSs and UDSs needs to allow water to travel reversely in the system via providing extra capacities and/or connections at smaller scales. This hypothesis is verified via case studies on a real world WDS and UDS.
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Rauch W, Urich C, Bach PM, Rogers BC, de Haan FJ, Brown RR, Mair M, McCarthy DT, Kleidorfer M, Sitzenfrei R, Deletic A. Modelling transitions in urban water systems. WATER RESEARCH 2017; 126:501-514. [PMID: 29031187 DOI: 10.1016/j.watres.2017.09.039] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2017] [Revised: 09/21/2017] [Accepted: 09/21/2017] [Indexed: 06/07/2023]
Abstract
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.
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Affiliation(s)
- W Rauch
- Unit of Environmental Engineering, Institute of Infrastructure, University of Innsbruck, Technikerstr. 13, 6020 Innsbruck, Austria.
| | - C Urich
- Monash Infrastructure, Civil Engineering Department, Monash University, Australia; Cooperative Research Centre for Water Sensitive Cities, Australia
| | - P M Bach
- Monash Infrastructure, Civil Engineering Department, Monash University, Australia
| | - B C Rogers
- Cooperative Research Centre for Water Sensitive Cities, Australia; School of Social Sciences, Monash University, Australia
| | - F J de Haan
- Melbourne School of Design & Melbourne Sustainable Society Institute, The University of Melbourne, Australia
| | - R R Brown
- Monash Sustainable Development Institute, Monash University, Australia
| | - M Mair
- Unit of Environmental Engineering, Institute of Infrastructure, University of Innsbruck, Technikerstr. 13, 6020 Innsbruck, Austria
| | - D T McCarthy
- Monash Infrastructure, Civil Engineering Department, Monash University, Australia
| | - M Kleidorfer
- Unit of Environmental Engineering, Institute of Infrastructure, University of Innsbruck, Technikerstr. 13, 6020 Innsbruck, Austria
| | - R Sitzenfrei
- Unit of Environmental Engineering, Institute of Infrastructure, University of Innsbruck, Technikerstr. 13, 6020 Innsbruck, Austria
| | - A Deletic
- Monash Infrastructure, Civil Engineering Department, Monash University, Australia
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