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| Titel |
Process-based distributed modeling approach for analysis of sediment dynamics in a river basin |
| VerfasserIn |
M. A. Kabir, D. Dutta, S. Hironaka |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 15, no. 4 ; Nr. 15, no. 4 (2011-04-27), S.1307-1321 |
| Datensatznummer |
250012754
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| Publikation (Nr.) |
 copernicus.org/hess-15-1307-2011.pdf |
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| Zusammenfassung |
| Modeling of sediment dynamics for developing best management practices of
reducing soil erosion and of sediment control has become essential for
sustainable management of watersheds. Precise estimation of sediment
dynamics is very important since soils are a major component of enormous
environmental processes and sediment transport controls lake and river
pollution extensively. Different hydrological processes govern sediment
dynamics in a river basin, which are highly variable in spatial and temporal
scales. This paper presents a process-based distributed modeling approach
for analysis of sediment dynamics at river basin scale by integrating
sediment processes (soil erosion, sediment transport and deposition) with an
existing process-based distributed hydrological model. In this modeling
approach, the watershed is divided into an array of homogeneous grids to
capture the catchment spatial heterogeneity. Hillslope and river sediment
dynamic processes have been modeled separately and linked to each other
consistently. Water flow and sediment transport at different land grids and
river nodes are modeled using one dimensional kinematic wave approximation
of Saint-Venant equations. The mechanics of sediment dynamics are integrated
into the model using representative physical equations after a comprehensive
review. The model has been tested on river basins in two different hydro
climatic areas, the Abukuma River Basin, Japan and Latrobe River Basin,
Australia. Sediment transport and deposition are modeled using Govers
transport capacity equation. All spatial datasets, such as, Digital
Elevation Model (DEM), land use and soil classification data, etc., have
been prepared using raster "Geographic Information System (GIS)" tools.
The results of relevant statistical checks (Nash-Sutcliffe efficiency and
R–squared value) indicate that the model simulates basin hydrology and its
associated sediment dynamics reasonably well. This paper presents the model
including descriptions of the various components and the results of its
application on two case study areas. |
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