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Evaluation of overland flow modelling hypotheses with a multi‐objective calibration using discharge and sediment data
Conceptual hydrological models can move towards process‐oriented modelling when addressing broader issues than discharge modelling alone. For instance, water quality modelling generally requires understanding of both pathways and travel times which might not be easily identified because observations...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10369921/ https://www.ncbi.nlm.nih.gov/pubmed/37502606 http://dx.doi.org/10.1002/hyp.14767 |
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author | de Lavenne, Alban Lindström, Göran Strömqvist, Johan Pers, Charlotta Bartosova, Alena Arheimer, Berit |
author_facet | de Lavenne, Alban Lindström, Göran Strömqvist, Johan Pers, Charlotta Bartosova, Alena Arheimer, Berit |
author_sort | de Lavenne, Alban |
collection | PubMed |
description | Conceptual hydrological models can move towards process‐oriented modelling when addressing broader issues than discharge modelling alone. For instance, water quality modelling generally requires understanding of both pathways and travel times which might not be easily identified because observations at the outlet aggregate all processes at the catchment scale. In this study we tested if adding a second kind of observation, specifically sediment data, can help distinguish overland flow from total discharge. We applied a multi‐objective calibration on both discharge and suspended sediment concentration simulation performance to the World‐Wide Hydrological Predictions for the Environment (HYPE) model for 111 catchments spread over the USA. Results show that in comparison to two calibrations made one after the other, the multi‐objective calibration leads to a significant improvement on the simulation performance of suspended sediments without a significant impact on the performance of discharge. New modelling hypotheses for overland flow calculations are proposed and resulted in similar discharge performances as the original one but with fewer parameters, which reduces equifinality and can prevent unwarranted model complexity in data‐poor areas. |
format | Online Article Text |
id | pubmed-10369921 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-103699212023-07-27 Evaluation of overland flow modelling hypotheses with a multi‐objective calibration using discharge and sediment data de Lavenne, Alban Lindström, Göran Strömqvist, Johan Pers, Charlotta Bartosova, Alena Arheimer, Berit Hydrol Process Special Issue Papers Conceptual hydrological models can move towards process‐oriented modelling when addressing broader issues than discharge modelling alone. For instance, water quality modelling generally requires understanding of both pathways and travel times which might not be easily identified because observations at the outlet aggregate all processes at the catchment scale. In this study we tested if adding a second kind of observation, specifically sediment data, can help distinguish overland flow from total discharge. We applied a multi‐objective calibration on both discharge and suspended sediment concentration simulation performance to the World‐Wide Hydrological Predictions for the Environment (HYPE) model for 111 catchments spread over the USA. Results show that in comparison to two calibrations made one after the other, the multi‐objective calibration leads to a significant improvement on the simulation performance of suspended sediments without a significant impact on the performance of discharge. New modelling hypotheses for overland flow calculations are proposed and resulted in similar discharge performances as the original one but with fewer parameters, which reduces equifinality and can prevent unwarranted model complexity in data‐poor areas. John Wiley & Sons, Inc. 2022-12-01 2022-12 /pmc/articles/PMC10369921/ /pubmed/37502606 http://dx.doi.org/10.1002/hyp.14767 Text en © 2022 The Authors. Hydrological Processes published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Special Issue Papers de Lavenne, Alban Lindström, Göran Strömqvist, Johan Pers, Charlotta Bartosova, Alena Arheimer, Berit Evaluation of overland flow modelling hypotheses with a multi‐objective calibration using discharge and sediment data |
title | Evaluation of overland flow modelling hypotheses with a multi‐objective calibration using discharge and sediment data |
title_full | Evaluation of overland flow modelling hypotheses with a multi‐objective calibration using discharge and sediment data |
title_fullStr | Evaluation of overland flow modelling hypotheses with a multi‐objective calibration using discharge and sediment data |
title_full_unstemmed | Evaluation of overland flow modelling hypotheses with a multi‐objective calibration using discharge and sediment data |
title_short | Evaluation of overland flow modelling hypotheses with a multi‐objective calibration using discharge and sediment data |
title_sort | evaluation of overland flow modelling hypotheses with a multi‐objective calibration using discharge and sediment data |
topic | Special Issue Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10369921/ https://www.ncbi.nlm.nih.gov/pubmed/37502606 http://dx.doi.org/10.1002/hyp.14767 |
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