A framework for testing large-scale distributed soil erosion and sediment delivery models:Dealing with uncertainty in models and the observational data

Batista, Pedro V.G. and Laceby, J. Patrick and Davies, Jessica and Carvalho, Teotônio S. and Tassinari, Diego and Silva, Marx L.N. and Curi, Nilton and Quinton, John N. (2021) A framework for testing large-scale distributed soil erosion and sediment delivery models:Dealing with uncertainty in models and the observational data. Environmental Modelling and Software, 137. ISSN 1364-8152

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Abstract

Evaluating distributed soil erosion models is challenging because of the uncertainty in models and measurements of system responses. Here, we present an approach to evaluate soil erosion and sediment delivery models, which incorporates sediment source fingerprinting and sediment-rating curve uncertainty into model testing. We applied the Generalized Likelihood Uncertainty Estimation (GLUE) methodology to the Sediment Delivery Distributed model (SEDD) for a large catchment in Southeast Brazil. The model was not rejected, as 23.4% of model realizations were considered behavioral. Fingerprinting results and SEDD simulations showed a partial agreement regarding the identification of the main sediment sources in the catchment. However, grid-based estimates of soil erosion and sediment delivery rates were highly uncertain, which restricted the model's usefulness for quantifying sediment dynamics. Although our results are case-specific, similar levels of error might be expected in erosion models elsewhere. The representation of such errors should be standard practice.

Item Type:
Journal Article
Journal or Publication Title:
Environmental Modelling and Software
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2300
Subjects:
ID Code:
152809
Deposited By:
Deposited On:
16 Mar 2021 12:24
Refereed?:
Yes
Published?:
Published
Last Modified:
09 Jun 2021 05:52