Resilience-based performance metrics for water resources management under uncertainty
Autor: | Tom Roach, Zoran Kapelan, Ralph Ledbetter |
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Rok vydání: | 2018 |
Předmět: |
010504 meteorology & atmospheric sciences
Computer science Event (computing) business.industry 0208 environmental biotechnology Climate change Water supply 02 engineering and technology Environmental economics 01 natural sciences 020801 environmental engineering Water resources Management system Range (statistics) Duration (project management) business Resilience (network) 0105 earth and related environmental sciences Water Science and Technology |
Zdroj: | Advances in Water Resources. 116:18-28 |
ISSN: | 0309-1708 |
Popis: | This paper aims to develop new, resilience type metrics for long-term water resources management under uncertain climate change and population growth. Resilience is defined here as the ability of a water resources management system to ‘bounce back’, i.e. absorb and then recover from a water deficit event, restoring the normal system operation. Ten alternative metrics are proposed and analysed addressing a range of different resilience aspects including duration, magnitude, frequency and volume of related water deficit events. The metrics were analysed on a real-world case study of the Bristol Water supply system in the UK and compared with current practice. The analyses included an examination of metrics’ sensitivity and correlation, as well as a detailed examination into the behaviour of metrics during water deficit periods. The results obtained suggest that multiple metrics which cover different aspects of resilience should be used simultaneously when assessing the resilience of a water resources management system, leading to a more complete understanding of resilience compared with current practice approaches. It was also observed that calculating the total duration of a water deficit period provided a clearer and more consistent indication of system performance compared to splitting the deficit periods into the time to reach and time to recover from the worst deficit events. |
Databáze: | OpenAIRE |
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