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Estimating Sediment Budget at a River Basin Scale Using a Process-Based Distributed Modelling Approach

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Abstract

The paper presents a process-based distributed modelling approach for estimating sediment budget at a river basin scale with partitions of suspended and bed loads by simulating sediment loads and their interactions. In this approach, a river basin is represented by hillslopes and a network of channels. Hillslopes are divided into an array of homogeneous grid cells for modelling surface runoff and suspended sediments. Channels are defined by incorporating flow hydraulic properties into the respective hillslope grids as sub-grid attributes for modelling both suspended and bed loads. Suspended sediment transport is modelled using one dimensional kinematic wave approximation of Saint-Venant’s principles of conservation of mass and momentum. Transport capacity of runoff or streamflow is used to set the limit of suspended sediment transport rate. Bed load in channels is estimated based on the instantaneous water and hydraulic parameters. Fractional interchange between suspended load and bed load is then back calculated. The performance of the model was evaluated through a case study application in a large river basin in Japan. The model satisfactorily calculated the sediment transport and total sediment budget in the basin. The simulated bed load was found to be reasonable and consistent with the water flow and suspended sediment flux. The results showed the bed load can be expressed as a linear function of the suspended load. The fractions of different sediment loads also exhibit linear relationships with water discharge for the rising and recession limbs of the flood hydrographs. The case study has demonstrated that the process-based distributed modelling approach can efficiently describe the basin-scale sediment budgets with due consideration of the suspended and bed loads and their interactions in the hillslopes and channels.

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Acknowledgments

This project is funded by NEWJEC Inc., Japan and the small grant scheme of Monash University Gippsland Campus. The data for modelling in the Abukuma Basin was provided by NEWJEC Inc.

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Authors and Affiliations

  1. The Bureau of Meteorology, Melbourne, VIC, 3008, Australia

    Md Aynul Kabir

  2. CSIRO Land and Water, Canberra, ACT, 2601, Australia

    Dushmanta Dutta

  3. School of Applied Sciences and Engineering, Monash University, Churchill, VIC, 3842, Australia

    Md Aynul Kabir & Dushmanta Dutta

  4. NEWJEC Inc, Tokyo, Japan

    Sadayuki Hironaka

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  1. Md Aynul Kabir
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  2. Dushmanta Dutta
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Correspondence to Dushmanta Dutta.

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Kabir, M.A., Dutta, D. & Hironaka, S. Estimating Sediment Budget at a River Basin Scale Using a Process-Based Distributed Modelling Approach. Water Resour Manage 28, 4143–4160 (2014). https://doi.org/10.1007/s11269-014-0734-8

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