Accurate estimation of flood hydrograph using nonlinear Muskingum method: Sequential data assimilation via particle filter
محل انتشار: یازدهمین کنگره ملی مهندسی عمران
سال انتشار: 1398
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 538
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شناسه ملی سند علمی:
NCCE11_498
تاریخ نمایه سازی: 9 شهریور 1398
چکیده مقاله:
River corridor both in rural and urban environments is a flood-prone area in many parts of the world particularly those where the upstream watershed areas are under extensive urban development. As a result, the flood forecasting and corresponding early warning systems are considered to be mandatory to reduce economic losses and the risk incurred on people. In this paper, nonlinear Muskingum scheme is coupled with a sequential data assimilation updating kernel so called particle filter to refine flood estimation particularly around the peak region. Results of this experiment confirm significant improvement in reference to coupling a flood forecasting scheme with particle updating filter compared to using flood forecasting scheme alone
کلیدواژه ها:
نویسندگان
M. Davvaz
Graduate Student, Dept. of Civil and Environmental Engineering, Shiraz University, Shiraz, Iran
M. J. Abedini
Professor, Dept. of Civil and Environmental Engineering, Shiraz University, Shiraz, Iran