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A Multialgorithm Approach to Land Surface Modeling of Suspended Sediment in the Colorado Front Range.

J R Stewart1, B Livneh1,2, J R Kasprzyk1

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This study introduces a new way to simulate suspended sediment load (SSL) using a Land Surface Model (LSM). Comparing five algorithms revealed trade-offs in performance and transferability, with process-oriented models showing greater robustness.

Keywords:
land surface modelingsediment transport

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Area of Science:

  • Hydrology and Earth System Science
  • Environmental Modeling
  • Sediment Transport Dynamics

Background:

  • Simulating suspended sediment load (SSL) is crucial for understanding catchment dynamics.
  • Existing SSL models vary in complexity and underlying principles.
  • Integrating diverse SSL algorithms within a common Land Surface Model (LSM) framework is needed to assess uncertainties.

Purpose of the Study:

  • To present a novel paradigm for simulating SSL using a Land Surface Model (LSM).
  • To quantify uncertainties and evaluate the predictability of five different erosion and SSL algorithms.
  • To assess the parameter robustness and transferability of these algorithms across catchments.

Main Methods:

  • Five SSL algorithms (MRC, MUSLE, LOADEST, HSPF, DHSVM) were implemented within the Variable Infiltration Capacity (VIC) LSM.
  • A multiobjective calibration was performed for each algorithm.
  • Optimized parameters were validated on an excluded period and tested in a cross-catchment transfer experiment.

Main Results:

  • Algorithm performance decreased when applied to periods with different SSL variability than the calibration period.
  • Joint calibration of sediment and streamflow parameters revealed trade-offs, impacting streamflow robustness.
  • Process-oriented algorithms (HSPF, DHSVM) demonstrated superior parameter transferability to a new catchment.

Conclusions:

  • The developed multialgorithm sediment scheme enables the portrayal of episodic loading and quantifies uncertainties.
  • Parameter transferability is algorithm-dependent, favoring more process-oriented approaches.
  • Understanding model trade-offs is essential for robust SSL simulation and catchment management.