globalchange  > 气候变化与战略
DOI: 10.5194/hess-22-5299-2018
论文题名:
Discharge hydrograph estimation at upstream-ungauged sections by coupling a Bayesian methodology and a 2-D GPU shallow water model
作者: Ferrari A.; D'Oria M.; Vacondio R.; Dal Palù A.; Mignosa P.; Giovanna Tanda M.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2018
卷: 22, 期:10
起始页码: 5299
结束页码: 5316
语种: 英语
Scopus关键词: Computational efficiency ; Computer graphics ; Equations of motion ; Floods ; Graphics processing unit ; Hydraulic models ; Inverse problems ; Program processors ; Bayesian geostatistical approaches ; Bayesian methodology ; Bayesian techniques ; Computational power ; Discharge hydrograph ; High-performance computing clusters ; Optimization procedures ; Shallow water equation (SWEs) ; Rivers
英文摘要: This paper presents a novel methodology for estimating the unknown discharge hydrograph at the entrance of a river reach when no information is available. The methodology couples an optimization procedure based on the Bayesian geostatistical approach (BGA) with a forward self-developed 2-D hydraulic model. In order to accurately describe the flow propagation in real rivers characterized by large floodable areas, the forward model solves the 2-D shallow water equations (SWEs) by means of a finite volume explicit shock-capturing algorithm. The two-dimensional SWE code exploits the computational power of graphics processing units (GPUs), achieving a ratio of physical to computational time of up to 1000. With the aim of enhancing the computational efficiency of the inverse estimation, the Bayesian technique is parallelized, developing a procedure based on the Secure Shell (SSH) protocol that allows one to take advantage of remote high-performance computing clusters (including those available on the Cloud) equipped with GPUs. The capability of the methodology is assessed by estimating irregular and synthetic inflow hydrographs in real river reaches, also taking into account the presence of downstream corrupted observations. Finally, the procedure is applied to reconstruct a real flood wave in a river reach located in northern Italy. © Author(s) 2018.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/163170
Appears in Collections:气候变化与战略

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作者单位: Ferrari, A., Department of Engineering and Architecture, University of Parma, Parma, Italy; D'Oria, M., Department of Engineering and Architecture, University of Parma, Parma, Italy; Vacondio, R., Department of Engineering and Architecture, University of Parma, Parma, Italy; Dal Palù, A., Department of Mathematical, Physical and Computer Sciences, University of Parma, Parma, Italy; Mignosa, P., Department of Engineering and Architecture, University of Parma, Parma, Italy; Giovanna Tanda, M., Department of Engineering and Architecture, University of Parma, Parma, Italy

Recommended Citation:
Ferrari A.,D'Oria M.,Vacondio R.,et al. Discharge hydrograph estimation at upstream-ungauged sections by coupling a Bayesian methodology and a 2-D GPU shallow water model[J]. Hydrology and Earth System Sciences,2018-01-01,22(10)
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