Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2018WR024220 |
River Bathymetry Estimate and Discharge Assessment from Remote Sensing | |
Moramarco, Tommaso1; Barbetta, Silvia1; Bjerklie, David M.2; Fulton, John W.3; Tarpanelli, Angelica1 | |
2019-08-01 | |
发表期刊 | WATER RESOURCES RESEARCH
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ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2019 |
卷号 | 55期号:8页码:6692-6711 |
文章类型 | Article |
语种 | 英语 |
国家 | Italy; USA |
英文摘要 | The NASA Surface Water Ocean Topography (SWOT) mission and ESA Sentinel-1, inter-alia, propose to monitor inland waters from satellites. The radar altimeter and the microwave radiometer can be used to monitor water surface level and assess the cross-sectional mean flow velocity, respectively. However, for most river sites bathymetric data are lacking, preventing the direct computation of discharge. In this context, a new methodology for simulating the bathymetry and estimating the discharge is proposed. The approach is based on entropy theory and can be applied using ground and satellite observations. Four parameters are needed and include channel roughness, water surface slope, channel bottom elevation, and an entropy parameter of flow depth. These parameters are estimated using a genetic algorithm by minimizing the error in the observed maximum surface velocity. Parameter uncertainty is considered through 1,000 random realizations based on different initial values. Eighteen streamflow measurements recorded from three different gauged river sites are used to benchmark the ground observations. The method included ENVISAT altimetry and Moderate Resolution Imaging Spectroradiometer (MODIS) data (2002-2010) at one river site. Relative to ground measurements, the method provides good results with an error in channel area and discharge that, on average, does not exceed 10% on the 50th percentile. Relative to satellite measurements, channel area is well simulated with an error, on average, lower than 9%; discharge is less well simulated and represented by an error greater than 30% on the 50th percentile. |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000490973700020 |
WOS关键词 | VELOCITY DISTRIBUTION ; FLOW RESISTANCE ; NATURAL CHANNELS ; ALTIMETRY DATA ; RATING CURVES ; WATER-LEVEL ; DEPTHS ; RADAR ; MODIS |
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/185860 |
专题 | 资源环境科学 |
作者单位 | 1.Res Inst Geohydrol Protect, Perugia, Italy; 2.US Geol Survey, Connecticut Water Sci Ctr, E Hartford, CT USA; 3.USGS Colorado Water Sci Ctr, Denver, CO USA |
推荐引用方式 GB/T 7714 | Moramarco, Tommaso,Barbetta, Silvia,Bjerklie, David M.,et al. River Bathymetry Estimate and Discharge Assessment from Remote Sensing[J]. WATER RESOURCES RESEARCH,2019,55(8):6692-6711. |
APA | Moramarco, Tommaso,Barbetta, Silvia,Bjerklie, David M.,Fulton, John W.,&Tarpanelli, Angelica.(2019).River Bathymetry Estimate and Discharge Assessment from Remote Sensing.WATER RESOURCES RESEARCH,55(8),6692-6711. |
MLA | Moramarco, Tommaso,et al."River Bathymetry Estimate and Discharge Assessment from Remote Sensing".WATER RESOURCES RESEARCH 55.8(2019):6692-6711. |
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