A network model for prediction and diagnosis of sediment dynamics at the watershed scale
Article first published online: 9 NOV 2012
©2012. American Geophysical Union. All Rights Reserved.
Journal of Geophysical Research: Earth Surface (2003–2012)
Volume 117, Issue F4, December 2012
How to Cite
2012), A network model for prediction and diagnosis of sediment dynamics at the watershed scale, J. Geophys. Res., 117, F00A04, doi:10.1029/2012JF002400., , , , , and (
- Issue published online: 9 NOV 2012
- Article first published online: 9 NOV 2012
- Manuscript Accepted: 27 SEP 2012
- Manuscript Revised: 25 SEP 2012
- Manuscript Received: 27 FEB 2012
- sediment transport;
 We present a semi-distributed model that simulates suspended sediment export from a watershed in two stages: (1) delivery of sediments from hillslope and bank erosion into the river channel, and (2) propagation of the channel sediments through the river network toward the watershed outlet. The model conceptualizes a watershed as the collection of reaches, or representative elementary watersheds (REW), that are connected to each other through the river network, and each REW comprises a lumped representation of a hillslope and channel component. The flow of water along the stream network is modeled through coupled mass and momentum balance equations applied in all REWs and sediment transport within each REW is simulated through the sediment balance equations. Every reach receives sediment inputs from upstream REWs (if present) and from the erosion of adjacent hillslopes, banks and channel bed. We tested this model using 12 years (1982–1993) of high temporal resolution data from Goodwin Creek, a 21.3 km2 watershed in Mississippi, USA. The model yields good estimates of sediment export patterns at the watershed outlet, with Pearson correlation coefficient (R value) of 0.85, 0.87, and 0.95 at daily, monthly, and annual resolution, respectively. Furthermore, the model shows that the dynamics of sediment transport are controlled to a large extent by the differences in the behavior of coarse and fine sediment particles, temporary channel storage, and the spatial variability in climatic forcing. These processes have a bearing on the patterns of sediment delivery with increasing scale.