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Intercomparing varied erosion, deposition and transport process representations for simulating sediment yield
Over the past several decades there has been an enormous proliferation of sediment models, ranging from empirical to physically-based. Most of these models aim to capture the impacts of three primary sediment processes viz. erosion, deposition, and transport. As a range of process representations ex...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6700289/ https://www.ncbi.nlm.nih.gov/pubmed/31427646 http://dx.doi.org/10.1038/s41598-019-48405-9 |
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author | Zi, Tan Kumar, Mukesh Albertson, John |
author_facet | Zi, Tan Kumar, Mukesh Albertson, John |
author_sort | Zi, Tan |
collection | PubMed |
description | Over the past several decades there has been an enormous proliferation of sediment models, ranging from empirical to physically-based. Most of these models aim to capture the impacts of three primary sediment processes viz. erosion, deposition, and transport. As a range of process representations exist for simulating these three processes, it is natural to wonder about their influence on estimates of suspended sediment yield from a watershed. While several studies have focused on intercomparison of sediment models, their scopes have generally been restricted to comparing the individual model performances, rather than understanding the role of process representations on sediment model output. Here, six model configurations, which span the different permutations of erosion, deposition and transport process representations being used in extant models, are considered to evaluate the role of process representations on sediment yield estimates. The numerical experiments are designed to evaluate the extent to which the sediment dynamics as modeled by a physically-based model with coupled surface-subsurface hydrologic interactions are captured by simpler models. The presented work delineates the applicability and limitations of widely used representations of sediment processes, and could help users identify the pros and cons of using a sediment model at a given temporal scale. |
format | Online Article Text |
id | pubmed-6700289 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-67002892019-08-21 Intercomparing varied erosion, deposition and transport process representations for simulating sediment yield Zi, Tan Kumar, Mukesh Albertson, John Sci Rep Article Over the past several decades there has been an enormous proliferation of sediment models, ranging from empirical to physically-based. Most of these models aim to capture the impacts of three primary sediment processes viz. erosion, deposition, and transport. As a range of process representations exist for simulating these three processes, it is natural to wonder about their influence on estimates of suspended sediment yield from a watershed. While several studies have focused on intercomparison of sediment models, their scopes have generally been restricted to comparing the individual model performances, rather than understanding the role of process representations on sediment model output. Here, six model configurations, which span the different permutations of erosion, deposition and transport process representations being used in extant models, are considered to evaluate the role of process representations on sediment yield estimates. The numerical experiments are designed to evaluate the extent to which the sediment dynamics as modeled by a physically-based model with coupled surface-subsurface hydrologic interactions are captured by simpler models. The presented work delineates the applicability and limitations of widely used representations of sediment processes, and could help users identify the pros and cons of using a sediment model at a given temporal scale. Nature Publishing Group UK 2019-08-19 /pmc/articles/PMC6700289/ /pubmed/31427646 http://dx.doi.org/10.1038/s41598-019-48405-9 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Zi, Tan Kumar, Mukesh Albertson, John Intercomparing varied erosion, deposition and transport process representations for simulating sediment yield |
title | Intercomparing varied erosion, deposition and transport process representations for simulating sediment yield |
title_full | Intercomparing varied erosion, deposition and transport process representations for simulating sediment yield |
title_fullStr | Intercomparing varied erosion, deposition and transport process representations for simulating sediment yield |
title_full_unstemmed | Intercomparing varied erosion, deposition and transport process representations for simulating sediment yield |
title_short | Intercomparing varied erosion, deposition and transport process representations for simulating sediment yield |
title_sort | intercomparing varied erosion, deposition and transport process representations for simulating sediment yield |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6700289/ https://www.ncbi.nlm.nih.gov/pubmed/31427646 http://dx.doi.org/10.1038/s41598-019-48405-9 |
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