دانلود مقاله ISI انگلیسی شماره 106243
ترجمه فارسی عنوان مقاله

کالیبراسیون مبتنی بر مدل سازی جایگزین پارامترهای مدل رودخانه هیدرودینامیکی

عنوان انگلیسی
Surrogate modeling-based calibration of hydrodynamic river model parameters
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
106243 2018 12 صفحه PDF
منبع

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

Journal : Journal of Hydro-environment Research, Volume 19, March 2018, Pages 56-67

پیش نمایش مقاله
پیش نمایش مقاله  کالیبراسیون مبتنی بر مدل سازی جایگزین پارامترهای مدل رودخانه هیدرودینامیکی

چکیده انگلیسی

As opposed to other disciplines, automated calibration procedures are not common practice for full hydrodynamic river models, mainly because of the long computation times impeding the accurate assessment of parameter values. Default or text-book values are therefore often used. This paper introduces a methodology to optimize hydrodynamic model parameter values, based on the use of a surrogate conceptual model. Thanks to the spatial lumping and the explicit calculation schemes of these conceptual models, very short calculation times and a large number of simulation runs can be achieved. The surrogate model is coupled with the Shuffled Complex Evolution Metropolis algorithm of the University of Arizona (SCEM-UA) to identify the optimal parameter sets and their uncertainty. Afterwards, the optimized parameter values are transferred to the full hydrodynamic model. The methodology is demonstrated on a case study of the river Molenbeek in Belgium, using streamflow, water level and gate level observations. Results show a decrease of the hydrodynamic model residuals by about 60 percent.