دانلود مقاله ISI انگلیسی شماره 93979
ترجمه فارسی عنوان مقاله

معیارهای عملکرد مبتنی بر انعطاف پذیری برای مدیریت منابع آب تحت عدم اطمینان

عنوان انگلیسی
Resilience-based performance metrics for water resources management under uncertainty
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
93979 2018 30 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Advances in Water Resources, Volume 116, June 2018, Pages 18-28

ترجمه کلمات کلیدی
انعطاف پذیری، سازگاری تغییرات اقلیمی، مدیریت منابع آب، تامین آب، معیارهای عملکرد، قابلیت اطمینان،
کلمات کلیدی انگلیسی
Resilience; Climate change adaptation; Water resources management; Water supply; Performance metrics; Reliability;
پیش نمایش مقاله
پیش نمایش مقاله  معیارهای عملکرد مبتنی بر انعطاف پذیری برای مدیریت منابع آب تحت عدم اطمینان

چکیده انگلیسی

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.