DOI: 10.1002/2016JF004105
Scopus记录号: 2-s2.0-85042168760
论文题名: Stochastic Modeling of Sediment Connectivity for Reconstructing Sand Fluxes and Origins in the Unmonitored Se Kong, Se San, and Sre Pok Tributaries of the Mekong River
作者: Schmitt R.J.P. ; Bizzi S. ; Castelletti A.F. ; Kondolf G.M.
刊名: Journal of Geophysical Research: Earth Surface
ISSN: 21699003
出版年: 2018
卷: 123, 期: 1 起始页码: 2
结束页码: 25
语种: 英语
英文关键词: fluvial processes
; inverse modeling
; sediment origins
; sediment transport
; transport capacity
Scopus关键词: fluvial process
; numerical model
; sand
; sediment transport
; stochasticity
; Mekong River
; Sekong River
; Sesan River
英文摘要: Sediment supply to rivers, subsequent fluvial transport, and the resulting sediment connectivity on network scales are often sparsely monitored and subject to major uncertainty. We propose to approach that uncertainty by adopting a stochastic method for modeling network sediment connectivity, which we present for the Se Kong, Se San, and Sre Pok (3S) tributaries of the Mekong. We quantify how unknown properties of sand sources translate into uncertainty regarding network connectivity by running the CASCADE (CAtchment Sediment Connectivity And DElivery) modeling framework in a Monte Carlo approach for 7,500 random realizations. Only a small ensemble of realizations reproduces downstream observations of sand transport. This ensemble presents an inverse stochastic approximation of the magnitude and variability of transport capacity, sediment flux, and grain size distribution of the sediment transported in the network (i.e., upscaling point observations to the entire network). The approximated magnitude of sand delivered from each tributary to the Mekong is controlled by reaches of low transport capacity (“bottlenecks”). These bottlenecks limit the ability to predict transport in the upper parts of the catchment through inverse stochastic approximation, a limitation that could be addressed by targeted monitoring upstream of identified bottlenecks. Nonetheless, bottlenecks also allow a clear partitioning of natural sand deliveries from the 3S to the Mekong, with the Se Kong delivering less (1.9 Mt/yr) and coarser (median grain size: 0.4 mm) sand than the Se San (5.3 Mt/yr, 0.22 mm) and Sre Pok (11 Mt/yr, 0.19 mm). ©2017. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/114830
Appears in Collections: 气候减缓与适应
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作者单位: Department of Electronics, Information, and Bioengineering, Politecnico di Milano, Milan, Italy; Department of Landscape Architecture and Environmental Planning, University of California, Berkeley, CA, United States; Institute of Environmental Engineering, ETH Zurich, Zurich, Switzerland
Recommended Citation:
Schmitt R.J.P.,Bizzi S.,Castelletti A.F.,et al. Stochastic Modeling of Sediment Connectivity for Reconstructing Sand Fluxes and Origins in the Unmonitored Se Kong, Se San, and Sre Pok Tributaries of the Mekong River[J]. Journal of Geophysical Research: Earth Surface,2018-01-01,123(1)