Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2018WR023568 |
A Modified Particle Filter-Based Data Assimilation Method for a High-Precision 2-D Hydrodynamic Model Considering Spatial-temporal Variability of Roughness: Simulation of Dam-Break Flood Inundation | |
Cao, Yin1,2; Ye, Yuntao1; Liang, Lili1; Zhao, Hongli1; Jiang, Yunzhong1; Wang, Hao1,2; Yi, Zhenyan1; Shang, Yizi1; Yan, Dengming1,2 | |
2019-07-01 | |
发表期刊 | WATER RESOURCES RESEARCH |
ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2019 |
卷号 | 55期号:7页码:6049-6068 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
英文摘要 | The particle filter-based data assimilation method is an effective tool to adjust model states based on observations. In this study, we proposed a modified particle filter-based data assimilation method with a local weighting procedure (MPFDA-LW) for a high-precision two-dimensional hydrodynamic model (HydroM2D) in dam-break flood simulation. Moreover, a particle filter-based data assimilation method with a global weighting procedure (PFDA-GW) for the HydroM2D model was also investigated. The MPFDA-LW and the PFDA-GW for the HydroM2D model, respectively, adopted spatially nonuniform and uniform Manning's roughness coefficients. The MPFDA-LW considering spatial-temporal variability of Manning's roughness coefficient could significantly improve the performances of the HydroM2D model in simulating water stages at all gauges simultaneously, whereas the PFDA-GW considering temporal variability of Manning's roughness coefficient could only slightly improve the performances of the HydroM2D model in simulating water stages at a few gauges. The MPFDA-LW is more suitable for improving the performance of 2-D hydrodynamic models in flood inundation simulation than the PFDA-GW. |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000481444700049 |
WOS关键词 | UNCERTAINTY ANALYSIS ; HYDRAULIC MODEL ; RIVER ; SCHEME ; FLOWS |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/184870 |
专题 | 资源环境科学 |
作者单位 | 1.China Inst Water Resources & Hydropower Res, Dept Water Resources, Beijing, Peoples R China; 2.State Environm Protect Engn Ctr Pollut Treatment, Coll Environm Sci & Engn, Shanghai, Peoples R China |
推荐引用方式 GB/T 7714 | Cao, Yin,Ye, Yuntao,Liang, Lili,et al. A Modified Particle Filter-Based Data Assimilation Method for a High-Precision 2-D Hydrodynamic Model Considering Spatial-temporal Variability of Roughness: Simulation of Dam-Break Flood Inundation[J]. WATER RESOURCES RESEARCH,2019,55(7):6049-6068. |
APA | Cao, Yin.,Ye, Yuntao.,Liang, Lili.,Zhao, Hongli.,Jiang, Yunzhong.,...&Yan, Dengming.(2019).A Modified Particle Filter-Based Data Assimilation Method for a High-Precision 2-D Hydrodynamic Model Considering Spatial-temporal Variability of Roughness: Simulation of Dam-Break Flood Inundation.WATER RESOURCES RESEARCH,55(7),6049-6068. |
MLA | Cao, Yin,et al."A Modified Particle Filter-Based Data Assimilation Method for a High-Precision 2-D Hydrodynamic Model Considering Spatial-temporal Variability of Roughness: Simulation of Dam-Break Flood Inundation".WATER RESOURCES RESEARCH 55.7(2019):6049-6068. |
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