Development of a distributed hydrological model combined with sediment transport calculations and its application to a medium-scale basin in northeast China

An accurate assessment of sediment transport can assist land and resource managers in any region. The primary objective of this study was to develop a distributed hydrological model for calculating rainfall-runoff coupled with sediment transport to provide a practical method for estimating sediment...

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Bibliographic Details
Published in:Environmental Research Communications 2024-10, Vol.6 (10), p.105020
Main Authors: Huang, Jinbai, Wang, Qingming, Feng, Shaoyuan, Wang, Bin, Wen, Jiawei, Zhang, Gengxi
Format: Article
Language:English
Subjects:
Bed load
bedload
Flood peak
Hydrologic models
Hydrology
Land management
Mathematical models
Maximum probable flood
Numerical models
Particle size distribution
Peak load
physically-based distributed hydrological model
Rainfall
rainfall-runoff
Rainfall-runoff relationships
Rainy season
River basins
Root-mean-square errors
Runoff
Sediment load
Sediment samplers
Sediment transport
Suspended load
the Alun River Basin
Transport processes
Water levels
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Summary:An accurate assessment of sediment transport can assist land and resource managers in any region. The primary objective of this study was to develop a distributed hydrological model for calculating rainfall-runoff coupled with sediment transport to provide a practical method for estimating sediment transport in western Heilongjiang Province, China. The Alun River Basin, which has typical meteorological and hydrological characteristics of western Heilongjiang Province, was chosen as the study area. A sediment transport calculation module was developed based on physically based formulas for the suspended load and bedload, which was coupled with a numerical model of the physical distributed rainfall-runoff process. The model’s ability was validated by comparing the sediment sampling survey results of the particle size group distribution (PSGD) in the flow and the corresponding value of the model calculation results for a control case. The root mean square error ( RMSE ) and the mean absolute error ( MAE ) were mostly
ISSN:2515-7620
2515-7620
DOI:10.1088/2515-7620/ad84a6