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  4. Probabilistic Prediction and Forecast of Daily Suspended Sediment Concentration on the Upper Yangtze River
 
research article

Probabilistic Prediction and Forecast of Daily Suspended Sediment Concentration on the Upper Yangtze River

Matos, Jose Pedro  
•
Hassan, Marwan A.
•
Lu, Xi Xi  
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August 1, 2018
Journal of Geophysical Research: Earth Surface

Sediment transport in suspension can represent more than 90% of a river's total annual flux of sediment. In the case of the Yangtze River, more than 99% of the sediment supplied to the sea is suspended load. Suspended sediment is thus an important component of the total sediment load, with implications for channel dynamics, landscape evolution, ecology, and human-related activities. For hydrological management of large basins such as the Yangtze River, knowledge of the processes governing suspended sediment concentration (SSC) is essential. An analysis of the temporal variation of SSC for the Upper Yangtze basin (defined at Pingshan station) is presented here. For this purpose, a database of 50years of concurrent discharge and SSC measurements, made by the Yangtze River Commission, is used. The analysis is made using a novel probabilistic data-driven technique, the Generalized Pareto Uncertainty (GPU). This technique allows for the testing of several strategies of prediction and forecast applied to a time series of SSC and streamflow. Changing between local or seasonal variables to feed these strategies, we inferred that although the main driver of the SSC transport is flow (as reported by previous authors), sediment storage is also a major control. Furthermore, the maximum necessary time lag for forecasts made with the data is on the order of one week, which provides one indication of the time scale of the local processes of SSC transport in the Upper Yangtze. In this paper, limitations and data requirements of the GPU methodology are also discussed.

Plain Language Summary In this manuscript we use a probabilistic technique to study what controls the dynamics of the sediments in suspension in Upper Yangtze River. For that, a database of 50 years of measurements of streamflow and sediments in suspension collected at Pingshan station by the Yangtze River Commission was analyzed with a new technique. Sediments in suspension represent the major portion of total sediment load in most river systems, and the Yangtze River is no exception. Fine sediment dynamics is an important component of many physical, chemical, and biological processes in rivers.

  • Details
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Type
research article
DOI
10.1029/2017JF004240
Web of Science ID

WOS:000444417600018

Author(s)
Matos, Jose Pedro  
Hassan, Marwan A.
Lu, Xi Xi  
Franca, Mario J.  
Date Issued

2018-08-01

Publisher

AMER GEOPHYSICAL UNION

Published in
Journal of Geophysical Research: Earth Surface
Volume

123

Issue

8

Start page

1982

End page

2003

Subjects

Geosciences, Multidisciplinary

•

Geology

•

yangtze river

•

suspended sediment concentration

•

sediment transport

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generalized pareto uncertainty

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model conditional processor

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artificial neural-networks

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cma evolution strategy

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quantile regression

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temporal variation

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uncertainty

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load

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flux

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transport

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discharge

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
PL-LCH  
Available on Infoscience
December 13, 2018
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/152105
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