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

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorBatista, Pedro V. G.-
Autor(es): dc.creatorLaceby, J. Patrick-
Autor(es): dc.creatorDavies, Jessica-
Autor(es): dc.creatorCarvalho, Teotônio S.-
Autor(es): dc.creatorTassinari, Diego-
Autor(es): dc.creatorSilva, Marx L. N.-
Autor(es): dc.creatorCuri, Nilton-
Autor(es): dc.creatorQuinton, John N.-
Data de aceite: dc.date.accessioned2026-02-09T11:50:40Z-
Data de disponibilização: dc.date.available2026-02-09T11:50:40Z-
Data de envio: dc.date.issued2022-04-07-
Data de envio: dc.date.issued2022-04-07-
Data de envio: dc.date.issued2021-03-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br/handle/1/49710-
Fonte completa do material: dc.identifierhttps://doi.org/10.1016/j.envsoft.2021.104961-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1148692-
Descrição: dc.descriptionEvaluating 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.-
Idioma: dc.languageen-
Publicador: dc.publisherElsevier-
Direitos: dc.rightsrestrictAccess-
???dc.source???: dc.sourceEnvironmental Modelling & Software-
Palavras-chave: dc.subjectSoil erosion models-
Palavras-chave: dc.subjectSediment loads-
Palavras-chave: dc.subjectSediment fingerprinting-
Palavras-chave: dc.subjectModelos de erosão do solo-
Palavras-chave: dc.subjectCargas de sedimentos-
Palavras-chave: dc.subjectImpressão digital de sedimentos-
Título: dc.titleA framework for testing large-scale distributed soil erosion and sediment delivery models: dealing with uncertainty in models and the observational data-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

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