دانلود مقاله ISI انگلیسی شماره 144557
ترجمه فارسی عنوان مقاله

هشدار زودهنگام خشکسالی براساس پیش بینی های خطر بهینه در سیستم های رودخانه ای تنظیم شده: کاربرد در حوضه رودخانه جوکار (اسپانیا)

عنوان انگلیسی
Drought early warning based on optimal risk forecasts in regulated river systems: Application to the Jucar River Basin (Spain)
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
144557 2017 10 صفحه PDF
منبع

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

Journal : Journal of Hydrology, Volume 544, January 2017, Pages 36-45

ترجمه کلمات کلیدی
نظارت بر، سیستم اخطار سریع، مدل سازی بهینه سازی تجزیه و تحلیل سیستم های منابع آب، آکواتول،
کلمات کلیدی انگلیسی
Monitoring; Early warning system; Optimisation modelling; Water resources systems analysis; Aquatool;
پیش نمایش مقاله
پیش نمایش مقاله  هشدار زودهنگام خشکسالی براساس پیش بینی های خطر بهینه در سیستم های رودخانه ای تنظیم شده: کاربرد در حوضه رودخانه جوکار (اسپانیا)

چکیده انگلیسی

Droughts are a major threat to water resources systems management. Timely anticipation results crucial to defining strategies and measures to minimise their effects. Water managers make use of monitoring systems in order to characterise and assess drought risk by means of indices and indicators. However, there are few systems currently in operation that are capable of providing early warning with regard to the occurrence of a drought episode. This paper proposes a novel methodology to support and complement drought monitoring and early warning in regulated water resources systems. It is based in the combined use of two models, a water resources optimization model and a stochastic streamflow generation model, to generate a series of results that allow evaluating the future state of the system. The results for the period 1998–2009 in the Jucar River Basin (Spain) show that accounting for scenario change risk can be beneficial for basin managers by providing them with information on the current and future drought situation at any given moment. Our results show that the combination of scenario change probabilities with the current drought monitoring system can represent a major advance towards improved drought management in the future, and add a significant value to the existing national State Index (SI) approach for early warning purposes.