Resilient and Robust Water Distribution Systems: State-of-the-Art and Research Challenges
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Urban Water Management".
Deadline for manuscript submissions: closed (10 October 2019) | Viewed by 49726
Special Issue Editors
Interests: machine learning; optimization algorithms; hydroinformatics; water distribution systems; urban drainage systems; smart water grids
Special Issues, Collections and Topics in MDPI journals
Interests: WDS resilience and robustness; data-driven anomaly detection; metaheuristic optimization algorithm
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues
During the last decade, the water distribution system (WDS) design, operation, and management paradigm has been shifted from probability-based reliability to a “resilience” scheme. WDS resilience is the system’s ability to gracefully degrade and promptly respond and recover from catastrophic failure events (e.g., earthquake, intentional contamination, system-wide cyber-attack). Therefore, WDS resilience generally focuses on the system’s multiperiod performances under pre- and post-failure conditions, rather than focusing only on the failure consequence.
This Special Issue is intended to include papers addressing WDS resilience, especially those which introduce novel resilience-based design, operation, and management methodologies. While system resilience consists of the so-called 4Rs (robustness, redundancy, rapidity, and resourcefulness), novel design and operational methodologies should be developed for successfully guaranteeing systems’ pre- and post-failure performances.
The first two of the resilience components are believed to be improved through physical measures. For example, WDS design limiting the variation of stochastic pressures (persistence of pressure's behaviour) results in a robust system. Having multiple alternative paths for water supply helps improve system redundancy. On the other hand, the last two components, rapidity and resourcefulness, can be enhanced by non-physical measures such as operation and management. High system rapidity decreases failure duration and thus total system impact of the failure. Prompt response can be achieved with, for example, effective and efficient on-line anomaly detection, location models, and well-trained repair teams. The distribution and operation scheduling of available resources (e.g., water and human resources) for emergency conditions should be optimized for high system resourcefulness.
While some of the aforementioned resilience aspects are now being widely studied, there are research gaps that have not yet been tackled. Among others, few efforts have been devoted to investigating the interdependence between the four subcomponents of WDS resilience. In addition, the role of smart metering should be questioned and identified in terms of WDS resilience improvement. We also welcome papers to fill these gaps.
Finally, high-performance optimization and machine learning algorithms are essential to solve the aforementioned WDS resilience problems based on various real-world failure scenarios and conditions. We expect papers on the state-of-the-art review of WDS resilience metrics and those that address emerging WDS resilience issues and problems.
We hope this Special Issue can (1) serve as a reference point from which readers review progress, recent trends, and emerging issues; and (2) shed light on the right future directions of WDS resilience studies.
Prof. Joong Hoon Kim
Prof. Donghwi Jung
Guest Editors
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Keywords
- Resilience-based WDS optimal design, operation, and management models
- Interdependence between robustness, redundancy, rapidity, and resourcefulness (4Rs of resilience)
- Smart metering for WDS rapidity and real-time operation and management
- High-performance optimization and machine learning algorithms
- WDS response and recovery under catastrophic failure events
- Anomaly detection, classification, and location (e.g., pipe burst and leakage, cyber-attack, intentional contamination)
- Water distribution network topology and resilience
- State-of-the-art review of WDS resilience metrics
- Defining emerging WDS resilience issues and problems
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