Suspended sediment retention in the wetlands was simulated with a two-dimensional model for sediment transport.
An accurate model for sediment prediction is a priority for all hydrological researchers.
The hydraulic-based empirical model for sediment and SOC loss can serve as an important reference for physical-based sediment models and can bring new insights into SOC loss prediction when serious erosion occurs on steep slopes.
Overall curvi-linear trend (r2 = 0.76) and the Von Bertalanffy non-linear model for sediment accumulation through time for all four sites, suggests highest sediment accumulation occurs at approximately 235 days following pipe installation at 65 ± 22% of pipe volume.
Building a hydraulic-based empirical model for sediment and soil organic carbon (SOC) loss is significant because of the complex erosion process that includes gravitational erosion, ephemeral gully, and gully erosion for loess soils.
The 2-D depth-averaged mathematical model for sediment-laden flows has been widely used in river control and other related engineering problems, and now it is usually solved on structured grids.
Here, we use a previously proposed nonlinear model for sediment transport on hillslopes to formulate 1-D dimensionless functions for hillslope morphology as well as a generalized expression relating steady-state hillslope relief to erosion rate, hillslope transport parameters, and hillslope length.
More recently, the coupling of process-based models for sediment transport, erosion rate estimates via cosmogenic radionuclides, and widespread topographic data has enabled the testing and calibration of process-based models for hillslope interpretation and prediction.
Additionally, a one-dimensional (1D) velocity model for deep sediments was constructed, and this paper describes the long-period site amplification effect with reference to this newly constructed velocity model.
Our calibration outputs for monthly simulation for the period from 1976 to 1984 showed a good model performance for flow rates with NSE and PBIAS values of 0.76 and −11.80, respectively; also a good model performance for sediment concentration with NSE and PBIAS values of 0.69 and 7.12, respectively.
