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Uncertainty Assessment: Reservoir Inflow Forecasting with Ensemble Precipitation Forecasts and HEC-HMS
المؤلفون المشاركون
المصدر
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-08-26
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
During an extreme event, having accurate inflow forecasting with enough lead time helps reservoir operators decrease the impact of floods downstream.
Furthermore, being able to efficiently operate reservoirs could help maximize flood protection while saving water for drier times of the year.
This study combines ensemble quantitative precipitation forecasts and a hydrological model to provide a 3-day reservoir inflow in the Shihmen Reservoir, Taiwan.
A total of six historical typhoons were used for model calibration, validation, and application.
An understanding of cascaded uncertainties from the numerical weather model through the hydrological model is necessary for a better use for forecasting.
This study thus conducted an assessment of forecast uncertainty on magnitude and timing of peak and cumulative inflows.
It found that using the ensemble-mean had less uncertainty than randomly selecting individual member.
The inflow forecasts with shorter length of cumulative time had a higher uncertainty.
The results showed that using the ensemble precipitation forecasts with the hydrological model would have the advantage of extra lead time and serve as a valuable reference for operating reservoirs.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Yang, Sheng-Chi& Yang, Tsun-Hua. 2014. Uncertainty Assessment: Reservoir Inflow Forecasting with Ensemble Precipitation Forecasts and HEC-HMS. Advances in Meteorology،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1015522
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Yang, Sheng-Chi& Yang, Tsun-Hua. Uncertainty Assessment: Reservoir Inflow Forecasting with Ensemble Precipitation Forecasts and HEC-HMS. Advances in Meteorology No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-1015522
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Yang, Sheng-Chi& Yang, Tsun-Hua. Uncertainty Assessment: Reservoir Inflow Forecasting with Ensemble Precipitation Forecasts and HEC-HMS. Advances in Meteorology. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1015522
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1015522
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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