Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2019WR026072 |
Joint Sensing of Bedload Flux and Water Depth by Seismic Data Inversion | |
Dietze, M.1; Lagarde, S.2; Halfi, E.3; Laronne, J. B.3; Turowski, J. M.1 | |
2019-11-27 | |
发表期刊 | WATER RESOURCES RESEARCH
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ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2019 |
文章类型 | Article;Early Access |
语种 | 英语 |
国家 | Germany; France; Israel |
英文摘要 | Rivers are the fluvial conveyor belts routing sediment across the landscape. While there are proper techniques for continuous estimates of the flux of suspended solids, constraining bedload flux is much more challenging, typically involving extensive measurement infrastructure or labor-intensive manual measurements. Seismometers are potentially valuable alternatives to in-stream devices, delivering continuous data with high temporal resolution on the average behavior of a reach. Two models exist to predict the seismic spectra generated by river turbulence and bedload flux. However, these models require estimating a large number of parameters and the spectra usually overlap significantly, which hinders straightforward inversion. We provide three functions contained in the R package "eseis" that allow generic modeling of hydraulic and bedload transport dynamics from seismic data using these models. The underlying Monte Carlo approach creates lookup tables of potential spectra, which are compared against the empirical spectra to identify the best fitting solutions. The method is validated against synthetic data sets and independently measured metrics from the Nahal Eshtemoa, Israel, a flash flood-dominated ephemeral gravel bed river. Our approach reproduces the synthetic time series with average absolute deviations of 0.01-0.04 m (water depth, ranging between 0 and 1 m) and 0.00-0.04 kg/sm (bedload flux, ranging between 0 and 4 kg/sm). The example flash flood water depths and bedload fluxes are reproduced with respective average deviations of 0.10 m and 0.02 kg/sm. Our approach thus provides generic, testable, and reproducible routines for a quantitative description of key metrics, hard to collect by other techniques in a continuous and representative manner. |
英文关键词 | bedload transport model environmental seismology flash flood fluvial |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000498769800001 |
WOS关键词 | BED-LOAD TRANSPORT ; SEDIMENT TRANSPORT ; PULSES ; RATES ; EVOLUTION ; MIGRATION ; AMPLITUDE ; RIVERS ; STREAM ; TIME |
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/223936 |
专题 | 资源环境科学 |
作者单位 | 1.GFZ German Res Ctr Geosci, Sect Geomorphol 4 6, Potsdam, Germany; 2.PSL Res Univ, Dept Geosci, Ecole Normale Super, Paris, France; 3.Ben Gurion Univ Negev, Unit Environm Engn, Dept Geog & Environm Engn, Beer Sheva, Israel |
推荐引用方式 GB/T 7714 | Dietze, M.,Lagarde, S.,Halfi, E.,et al. Joint Sensing of Bedload Flux and Water Depth by Seismic Data Inversion[J]. WATER RESOURCES RESEARCH,2019. |
APA | Dietze, M.,Lagarde, S.,Halfi, E.,Laronne, J. B.,&Turowski, J. M..(2019).Joint Sensing of Bedload Flux and Water Depth by Seismic Data Inversion.WATER RESOURCES RESEARCH. |
MLA | Dietze, M.,et al."Joint Sensing of Bedload Flux and Water Depth by Seismic Data Inversion".WATER RESOURCES RESEARCH (2019). |
条目包含的文件 | 条目无相关文件。 |
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