دانلود مقاله ISI انگلیسی شماره 26650
ترجمه فارسی عنوان مقاله

اصلاح فیلتر کالمن در پیش بینی زمان واقعی با استفاده از مدل هیدرودینامیک

عنوان انگلیسی
Kalman filtering correction in real-time forecasting with hydrodynamic model
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
26650 2008 7 صفحه PDF
منبع

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

Journal : Journal of Hydrodynamics, Ser. B, Volume 20, Issue 3, June 2008, Pages 391–397

ترجمه کلمات کلیدی
- پیش بینی سیل در زمان واقعی - فیلتر کالمن - مدل های هیدرولیک - روش فیلتر کالمن متناوب
کلمات کلیدی انگلیسی
real-time flood forecast,Kalman filter,hydraulic model,alternate Kalman filtering method,
پیش نمایش مقاله
پیش نمایش مقاله  اصلاح فیلتر کالمن در پیش بینی زمان واقعی با استفاده از مدل هیدرودینامیک

چکیده انگلیسی

Accurate and reliable flood forecast is crucial for efficient real-time river management, including flood control, flood warning, reservoir operation and river regulation. In order to improve the estimate of the initial state of the forecasting system and to reduce the errors in the forecast period a data assimilation procedure was often need. The Kalman filter was proven to be an efficient method to adjust real-time flood series and improve the initial conditions before the forecast. A new model integrating the hydraulic model with the Kalman filter for real-time correction of flood forecast was developed and applied in the Three Gorges interzone of the Yangtze River. The method was calibrated and verified against the observed flood stage and discharge during Three Gorges Dam construction periods (2004). The results demonstrate that the new model incorporates an accurate and fast updating technique can improve the reliability of the flood forecast.