Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2019WR024938 |
A Curve-Fitting Method for Estimating Bathymetry From Water Surface Height and Width | |
Schaperow, Jacob R.1; Li, Dongyue1,2; Margulis, Steven A.1; Lettenmaier, Dennis P.1,2 | |
2019-05-01 | |
发表期刊 | WATER RESOURCES RESEARCH |
ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2019 |
卷号 | 55期号:5页码:4288-4303 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | River discharge estimation requires knowledge of bathymetry. However, aside from a few locations where surveys have been conducted, bathymetric data are unavailable, even for major rivers. It has been suggested that water surface elevation and flow width measurements from the upcoming Surface Water and Ocean Topography (SWOT) satellite mission (planned launch 2021) may be used to infer the submerged channel geometry; however, the full potential of these measurements for inferring bathymetry has yet to be explored. We apply four different techniques, with varying assumptions about height-width relationships, to predict unknown bathymetry. We call these curve-fitting methods the linear, slope break, nonlinear, and nonlinear slope break (NLSB) methods. The linear and slope break methods are based on a linear height-width relationship, while the nonlinear and NLSB methods are based on a height-width relationship derived from hydraulic geometry equations. We generate SWOT-like observations of height and width based on 5-m gridded Upper Mississippi River data and evaluate the performance of each curve-fitting method given the SWOT-like observations. The NLSB method predicts bed elevation and low flow area with the least error, although the nonlinear method may be preferred in low data conditions. Additionally, we show that our method outperforms previously suggested methods, and we propose an NLSB-based bathymetry prior for Bayesian discharge estimation algorithms. |
英文关键词 | river bathymetry remote sensing priors parameter estimation SWOT hydrodynamic modeling |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000474848500038 |
WOS关键词 | VARIATIONAL DATA ASSIMILATION ; DISCHARGE ESTIMATION ; RIVER ; GEOMETRY ; EQUIFINALITY ; UNCERTAINTY ; INFERENCE ; MODEL |
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/183146 |
专题 | 资源环境科学 |
作者单位 | 1.Univ Calif Los Angeles, Dept Civil & Environm Engn, Los Angeles, CA 90095 USA; 2.Univ Calif Los Angeles, Dept Geog, Los Angeles, CA 90024 USA |
推荐引用方式 GB/T 7714 | Schaperow, Jacob R.,Li, Dongyue,Margulis, Steven A.,et al. A Curve-Fitting Method for Estimating Bathymetry From Water Surface Height and Width[J]. WATER RESOURCES RESEARCH,2019,55(5):4288-4303. |
APA | Schaperow, Jacob R.,Li, Dongyue,Margulis, Steven A.,&Lettenmaier, Dennis P..(2019).A Curve-Fitting Method for Estimating Bathymetry From Water Surface Height and Width.WATER RESOURCES RESEARCH,55(5),4288-4303. |
MLA | Schaperow, Jacob R.,et al."A Curve-Fitting Method for Estimating Bathymetry From Water Surface Height and Width".WATER RESOURCES RESEARCH 55.5(2019):4288-4303. |
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